=Paper= {{Paper |id=Vol-3869/p08 |storemode=property |title=High-Performance Computing for the Optimization of Double-Pipe Heat Exchanger Operations |pdfUrl=https://ceur-ws.org/Vol-3869/p08.pdf |volume=Vol-3869 |authors=Mohamed S. Mohsin,Abdulsattar J. Hasan |dblpUrl=https://dblp.org/rec/conf/icyrime/MohsinH24 }} ==High-Performance Computing for the Optimization of Double-Pipe Heat Exchanger Operations== https://ceur-ws.org/Vol-3869/p08.pdf
                                High-Performance Computing for the Optimization of
                                Double-Pipe Heat Exchanger Operations
                                Mohamed S. Mohsin1,* , Abdulsattar J. Hasan1
                                1
                                    Department of Mechanical Engineering, University of Technology- Iraq, Baghdad, Iraq


                                                  Abstract
                                                  This review paper explores the evolving landscape of heat exchanger research, emphasizing the integration of high-
                                                  performance computing and advanced simulation technologies to enhance design and operational efficiencies. Analyzing a
                                                  collection of recent studies, we identify predominant trends and methodologies within the field, particularly highlighting the
                                                  focus on single-phase systems, which account for 83.3% of the research, and the considerable attention to energy efficiency
                                                  and performance enhancements. Notably, double-pipe heat exchangers remain a staple in the field, representing 22.7%
                                                  of the studies examined. Our comprehensive review reveals a balanced reliance on experimental and simulation-based
                                                  approaches, with experimental methods constituting 45.8% and simulations 41.7%, showcasing the field’s commitment to
                                                  empirical validation coupled with theoretical exploration. The utilization of general and specified simulation software, evident
                                                  in heat exchanger technology. Furthermore, we delve into the potential of bubble flow dynamics within heat exchangers as
                                                  a novel approach for enhancing thermal performance, proposing this area as ripe for future research. This study not only
                                                  synthesizes current innovations and challenges in heat exchanger research but also sets the stage for leveraging emerging
                                                  technologies to forge significant advancements in the efficiency and functionality of heat exchange systems.

                                                  Keywords
                                                  Heat Exchanger, Exergy, Computer Analysis.



                                1. Introduction                                                                                            yet widely utilized configuration. Innovations in com-
                                                                                                                                           putational methods have improved the accuracy of pre-
                                Heat exchangers are pivotal in numerous industrial pro-                                                    dictions and diagnostics in addition to the fact that it
                                cesses where they facilitate the transfer of heat between                                                  expanded the boundaries of what can be achieved in heat
                                two or more fluids, conserve energy, and optimize the                                                      exchanger development [24, 25, 26].
                                performance of systems ranging from power genera-                                                             In parallel with advancements in heat exchanger de-
                                tion to refrigeration and beyond [1, 2, 3, 4, 5]. As core                                                  sign and optimization, cloud computing [27, 28, 29, 30, 31]
                                components in both energy systems and manufacturing                                                        and high-performance computing [32] have also signif-
                                processes, heat exchangers influence efficiency, opera-                                                    icantly enhanced fault diagnosis and the integration of
                                tional costs, and environmental impact [6, 7, 8, 9, 10, 11].                                               communication systems within lots of applicable man-
                                The significance of heat exchangers is particularly pro-                                                   agement devices [33, 34, 35, 36, 37]. By leveraging compu-
                                nounced in applications requiring high thermal efficiency                                                  tational intelligence, researchers and engineers can now
                                under stringent space and weight limitations, especially                                                   predict and swiftly identify potential system failures be-
                                in the communication sector [12, 13].                                                                      fore they lead to critical disruptions [38, 39, 40, 41]. This
                                   The advent of Artificial Intelligence and high-                                                         preemptive diagnostic capability is crucial for maintain-
                                performance computing (HPC)[14, 15, 16] have ushered                                                       ing operational stability and extending the lifespan of
                                in transformative advancements in the design and oper-                                                     heat exchangers in demanding environments. Moreover,
                                ation of heat exchangers [17, 18]. By enabling precise                                                     the integration of sophisticated communication systems
                                simulations and complex calculations, HPC helps in the                                                     facilitates real-time data acquisition and control that en-
                                general optimization large systems [19], such as thermal                                                   ables dynamic adjustments to operating conditions to
                                management systems, more effectively than traditional                                                      optimize performance continuously [42, 43, 44]. These
                                methods [20, 21, 22, 23]. This review explores the role of                                                 computational advancements are collectively bolstering
                                HPC in enhancing the performance and operational effi-                                                     the reliability and efficiency of heat exchangers and also
                                ciencies of double-pipe heat exchangers, a fundamental                                                     pave the way for more autonomous and smart thermal
                                                                                                                                           management systems to set a rather-new standard in the
                                ICYRIME 2024: 9th International Conference of Yearly Reports on                                            industry [45, 46, 47, 48].
                                Informatics, Mathematics, and Engineering. Catania, July 29-August                                            The contributions of this study are manifold, provid-
                                1, 2024
                                *
                                  Corresponding author.
                                                                                                                                           ing a comprehensive synthesis of current knowledge
                                $ me.22.12@grad.uotechnology.edu.iq (M. S. Mohsin);                                                        and cutting-edge developments in the realm of heat ex-
                                Abdulsattar.J.Alsarraf@uotechnology.edu.iq (A. J. Hasan)                                                   changer optimization via high-performance computing.
                                 0009-0002-6879-1796 (M. S. Mohsin)                                                                       Notably, the study:
                                            © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License
                                            Attribution 4.0 International (CC BY 4.0).




                                                                                                                                      60




CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings
Mohamed S. Mohsin et al. CEUR Workshop Proceedings                                                                    60–68



     • Illustrates how computational advancements           These studies collectively demonstrate that even slight
       have revolutionized the design and operational    modifications in the design and implementation of en-
       efficiency of double-pipe heat exchangers.        hancement strategies can lead to significant improve-
     • Highlights the integration of fault diagnosis and ments in heat exchanger performance. The focus on
       real-time communication systems, enhancing re-    double-pipe heat exchangers within this con-text reveals
       liability and operational oversight.              a robust platform for experimental innovation, where
     • Sets the stage for future explorations into au-   traditional designs are being effectively augmented to
       tonomous and increasingly efficient thermal man-  meet higher standards of efficiency and performance in
       agement solutions.                                industrial applications. Such enhancements are address-
                                                         ing the immediate needs for better energy management
   The remainder of this paper is organized as follows: in addition to pave the way for future advancements in
Section 2 explores the latest innovations and their im- heat exchanger technology. Furthermore, as depicted in
plications for industry standards. Section 3 delves into Figure 1, the distribution of design configurations in heat
the methodologies employed in recent studies to the pur- exchanger studies showcases a predominant focus on
pose of emphasizing the role of computational tools in double-pipe systems, among others.
the enhancement of heat exchanger performance. The
identification of the current gaps in research and out-
lines potential directions for future work are discussed 3. Analytical and Computational
in Section 4. Finally, Section 5 summarizes the findings      Approaches in Heat Exchanger
and underscores the critical role of high-performance
computing in the ongoing evolution of heat exchanger
                                                              Research
technology.                                              In terms of further comparisons, Table 2 below is com-
                                                                 piled from the provided references and illustrates a fo-
2. Recent Advancements in Heat                                   cused exploration of heat exchanger technology through
                                                                 various specialized research methodologies. Notably, the
   Exchanger Technology                                          studies predominantly utilize a single-phase approach,
                                                                 with only a few venturing into multi-phase analyses, in-
Table 1 consolidates key findings from recent studies            dicative of the complexities involved in simulating or
on various heat exchanger designs with a highlight on            experimenting with multiple fluid interactions. The ana-
the substantial impact of innovative enhancement tech-           lytical scope of these studies broadly encompasses energy
niques on heat transfer performance. Among the diverse           efficiency and thermal performance, with a significant
configurations, the double-pipe heat exchanger is notably        emphasis also placed on performance evaluation criteria.
prominent which in turn, showcases multiple approaches           This focus reflects ongoing efforts to enhance the effi-
to boosting efficiency and functionality.                        ciency and operational capabilities of heat exchangers in
   In a widely applied field of double-pipe configurations,      industrial applications.
numerous research articles exemplified the adaptation               The majority of the research leans towards experimen-
of enhancement techniques such as twisted tape inserts,          tal and simulation methods, underscoring the critical
dimple configurations, and bio-inspired turbulators. For         role these techniques play in advancing heat exchanger
instance, the work in [49] details the use of twisted tapes      technology. Experimental approaches provide tangible,
with dimple inserts in a counter-flow double pipe heat           real-world data crucial for validating theoretical models
exchanger, where the optimal dimple diameter was found           and simulation results. On the other hand, simulations,
to significantly affect heat transfer efficiency and friction    particularly those involving computational fluid dynam-
factors. This study underscores the practicality and eco-        ics (CFD) and occasionally coupled with artificial neural
nomic viability of such enhancements in conventional             networks (ANN), offer predictive insights and a deeper
heat exchanger systems. Similarly, the work in [50] in-          understanding of the fluid dynamics and thermal behav-
vestigated the thermal performance of dimpled twisted            iors not easily observable in experimental setups.
tape inserts which high-lighted how these modifications             It is noteworthy that several studies did not specify the
in the double-pipe heat exchanger led to remarkable im-          type of simulation software used. These studies, marked
provements in Nusselt numbers and overall thermal per-           as involving "General Finite Element Analysis" or "None
formance compared to plain pipe setups. The strategic            specified" for simulation software, implicitly suggest the
integration of dimples not only escalates the heat transfer      use of finite element methodologies. This assumption
rates but also modulates the flow dynamics within the            is based on the prevalent application of general finite
exchangers that catered to both energy efficiency and            element techniques in the simulation of thermal systems,
system longevity.                                                where software capable of such analyses provides com-




                                                            61
Mohamed S. Mohsin et al. CEUR Workshop Proceedings                                                               60–68



Table 1
Overview of Heat Exchanger Design Configurations and Enhancements
  Ref       Design            Flow Type          Enhancement                           Key findings
         Configuration                             Approach
  [49]    Double Pipe        Counter-flow       Twisted tape with          Dimple diameter impacts heat transfer
                                                 dimple inserts          efficiency and friction factor, with optimal
                                                                                       results at 4 mm.
  [51]     Double Tube       Counter-flow      Twisted and helical      Enhanced thermal characteristics, significant
                                                     tapes                increase in Nusselt numbers and friction
                                                                                            factors.
  [52]    Compact Heat           N/A            CFD simulations         CFD and engineering methods demonstrate
           Exchanger                                                       potential but come with limitations in
                                                                                    practical application.
  [53]       Various             N/A                  Nanofluids         Nanofluids enhance thermal performance
                                                                            across various heat exchanger types.
  [54]   Heat Exchanger          N/A            Hybrid system            Hybrid models offer improved accuracy in
            Systems                            modeling (neural            diagnostics over first-principle models.
                                                  networks)
  [55]      Internally           N/A          Numerical simulation         Internal dimples enhance heat transfer
          Dimpled Tube                                                   compared to plain tubes, despite increased
                                                                                         pressure drop.
  [56]   Heat Exchanger          N/A                 Baffle design      Optimization of baffle hole sizes and angles
                                                     optimization        reduces flow maldistribution and pressure
                                                                                              drop.
  [57]    Shell and Tube         N/A            Elliptical dimples       Elliptical dimples increase heat capacity by
                                                                         40.6%, reducing dimensions and weight of
                                                                                      the heat exchanger.
  [58]   Heat Exchanger          N/A             Helical dimples         Helical dimples enhance thermal-hydraulic
              Tube                                                                 performance significantly.
  [59]   Heat Exchanger          N/A                 Dimpled ribs          Dimpled ribs enhance heat transfer and
              Tube                                                         hydraulic performance, with developed
                                                                        correlations for Nusselt number and friction
                                                                                             factor.
  [60]   Heat Exchanger          N/A                 Theory model          Predictive model enhances temperature
               Fin                                                                    uniformity by 91.3%.
  [61]    Double Pipe            N/A           Twisted tape with            Optimized dimple diameter and depth
                                              dimple configuration      enhance Nusselt number and reduce friction
                                                                                             factor.
  [62]    Shell and Coil         N/A            Helically grooved             Grooved annulus improves thermal
              Tube                                   annulus                      performance by up to 20%.
  [50]     Double-Pipe           N/A          Dimpled twisted tape      Dimpled tapes significantly enhance thermal
                                                      inserts               performance over non-dimpled tapes.
  [63]      Internally        Turbulent       Curved channel design        New correlations for friction factor and
         Channeled Tube                                                  Nusselt number based on CFD simulations.
  [64]   Circle Tube-Fin         N/A                Ellipsoidal            Novel fin configurations with ellipsoidal
                                                dimple-protrusion       dimples enhance heat transfer performance.
  [65]     Double-Pipe       Counter-flow      Titanium oxide and         Nanofluids improve thermal performance,
                                              zinc oxide nanofluids             particularly at lower flow rates.
  [66]     Double Pipe       Counter-flow      Dolphin’s dorsal fin     Bio-inspired turbulators reduce friction and
                                                   turbulators                 enhance heat transfer efficiency.
  [67]     Plate Heat            N/A          Metal oxide nanofluids    CuO/water nanofluids enhance heat transfer
           Exchanger                                                         and reduce exergy loss significantly.
  [68]   Heat Exchanger          N/A            Advanced exergy               Potential for significant efficiency
            Network                                analysis              improvements in heat exchanger networks
                                                                                     through optimization.
  [69]    Shell-and-Tube         N/A             Graphene oxide         Increased thermal conductivity and reduced
                                                    nanofluids          exergy loss with graphene oxide nanofluids.
  [70]     Spiral Heat     Counter-current    Optimal flow capacity       Increased heat transfer effectiveness with
           Exchanger                          rates and spiral design     optimized spiral design and flow capacity
                                                                                           rate ratios.



                                                          62
Mohamed S. Mohsin et al. CEUR Workshop Proceedings                                                                  60–68




Figure 1: Distribution of Heat Exchanger Design Configurations in Recent Studies


Table 2
Classification of Heat Exchanger Studies by Mixture Type, Analysis Type, Simulation Software, and Study Approach
 Ref     Mixture Type             Type of Analysis                     Simulation Software            Study Approach
 [49]       Single               Energy, Performance                       None specified               Experimental
 [51]       Single                      Energy                             None specified               Experimental
 [52]       Single           Energy, General Performance                   CFD (General)                 Simulation
 [53]       Multi               Thermal Performance                        None specified                  Review
 [54]       Single                    Diagnostic                      Hybrid (Neural Networks)          Experimental
 [55]       Single                      Energy                             ANSYS Fluent                  Simulation
 [56]       Single        Flow maldistribution, Pressure drop              CFD (General)                 Simulation
 [57]       Single              Thermal Performance                 P-NTU Method, General Finite         Simulation
                                                                         Element Analysis
 [58]        Single            Energy, Thermal-Hydraulic                   None specified                 Simulation
 [59]        Single              Energy, Performance                       None specified                Experimental
 [60]        Single               Thermal Uniformity                       None specified                 Theoretical
 [61]        Single              Energy, Performance                       None specified                Experimental
 [62]        Single              Thermal Performance                       None specified                 Simulation
 [50]        Single              Energy, Performance                       None specified                Experimental
 [63]        Single              Energy, Performance                       CFD (General)                  Simulation
 [64]        Single                      Energy                            None specified                 Simulation
 [65]        Multi                       Energy                            None specified                Experimental
 [66]        Single              Energy, Performance                         CFD-ANN                      Simulation
 [67]        Multi                  Energy, Exergy                         None specified                Experimental
 [68]        Multi                       Exergy                            None specified                 Theoretical
 [69]        Multi                  Energy, Exergy                         None specified                Experimental
 [70]        Single                      Exergy                            None specified                 Theoretical


prehensive tools for predicting and analyzing the per-          a comprehensive view into the methodologies and focus
formance of heat ex-changers under various operational          areas of recent heat exchanger research. In Figure 2a, the
conditions. This inclusion of finite element analysis un-       overwhelming prevalence of single-phase studies, con-
derscores the technical depth and analytical rigor em-          stituting 83.3% of the research, underscores a focused
ployed in advancing heat ex-changer research. Moreover,         approach towards simplifying the complexity inherent in
Figure 2 shows pie-charts for the distributions of the pre-     multi-phase mixtures, which only comprise 16.7%. This
viously discussed Table 2. Figure 2a and Figure 2b provide      preference could reflect the challenges associated with



                                                           63
Mohamed S. Mohsin et al. CEUR Workshop Proceedings                                                                60–68



multi-phase simulations and experiments, or perhaps the       which can exhibit unpredictable flow and heat transfer
specific industry demands driving the research agenda.        characteristics [72].
   Moving to Figure 2b, the analysis types employed              Opportunities for advancing heat exchanger technol-
across the studies reveal a significant emphasis on energy    ogy lie in harnessing the power of emerging technologies
efficiency and performance, accounting for over 30.4%         such as machine learning and advanced simulation soft-
of the classifications. This trend highlights the sector’s    ware, which can predict outcomes and optimize designs
prioritization of optimizing operational efficiencies and     with greater accuracy than ever before. Additionally,
enhancing performance metrics, critical factors in the        the integration of new materials and innovative geome-
design and adaptation of heat exchangers in industrial        tries such as those enabling enhanced surface area and
applications. Notably, the substantial portion of stud-       turbulence can significantly improve heat transfer rates.
ies addressing general energy concerns 21.7% alongside        Specifically, the exploration of bubble flow dynamics
specific performance metrics (13.0%) suggests a robust        within heat exchangers presents a novel avenue for en-
engagement with foundational engineering challenges           hancing heat transfer efficiency. Bubbles can alter the
along-side more nuanced performance enhancements.             thermal and flow properties of the working fluids, poten-
Figure 2c delves into the technical tools that empower        tially leading to improved performance metrics such as
this research, with a dominant 65.0% of studies not spec-     increased heat transfer coefficients and reduced energy
ifying their simulation software. This could imply the        consumption. The behavior of bubbles, particularly their
usage of bespoke or general finite element analysis tools,    formation, growth, and collapse, and their inter-action
indicating a flexible, possibly adaptive, computational       with the heat exchanger surfaces, introduces complex
approach tailored to specific research needs. The uti-        variables into the design and operation of these systems.
lization of specialized software like ANSYS Fluent and           The effective integration of bubbles into heat ex-
combined CFD-ANN approaches, although less frequent,          changer design requires a deep understanding of bubble
highlights the integration of advanced computational          dynamics, which can be facilitated by advanced imag-
fluid dynamics and artificial neural networks to tackle       ing and diagnostic techniques. These methods provide
the more complex aspects of heat transfer and fluid dy-       crucial data that can be used to refine simulation models
namics.                                                       and validate theoretical predictions. Furthermore, the
   Finally, Figure 2d reflects a balanced division be-        practical application of this knowledge holds the promise
tween experimental (45.8%) and simulation-based (41.7%)       of not only enhancing the efficiency of existing heat ex-
methodologies, with a minor contribution from theoreti-       changer designs but also pioneering new ones that could
cal and re-view-based studies. This equilibrium under-        revolutionize industries reliant on heat exchange pro-
scores the field’s reliance on empirical data to validate     cesses.
theoretical models and simulations which ensured that in-
novations in heat ex-changer design are both practically
viable and theoretically sound.                               5. Conclusions
                                                              This review meticulously charted the landscape of heat
4. Challenges and Opportunities in                            exchanger research by delineating the mixture types,
                                                              analytical methods, simulation tools, and research ap-
   Heat Exchanger Research                                    proaches documented across diverse studies. The current
                                                              paper’s analysis indicated a substantial inclination to-
The landscape of heat exchanger research is replete with
                                                              wards single-phase systems, which represented 83.3% of
both challenges and opportunities, each steering the di-
                                                              the studies examined, with a noteworthy focus on energy
rection of technological advancements. One of the per-
                                                              efficiency and performance enhancements. Notably, the
sistent hurdles is the efficient handling and modeling of
                                                              utilization of simulation software, though often unspec-
complex fluids and phase inter-actions within heat ex-
                                                              ified, was implied in 35% of the cases which highlights
changers [71]. The accurate simulation and prediction of
                                                              the reliance on computational methods to advance un-
such dynamics are critical for designing more efficient
                                                              derstanding and innovation in heat exchanger design.
systems but often require sophisticated computational
                                                              Moreover, the balance between experimental (45.8%) and
tools and experimental setups that can mimic real-world
                                                              simulation-based approaches (41.7%) under-scored the
conditions. Recent strides in CFD and enhanced experi-
                                                              field’s dedication to both empirical rigor and theoretical
mental techniques have provided significant insights, yet
                                                              innovation. The predominance of double-pipe configura-
the variability in operational conditions and fluid prop-
                                                              tions in nearly 22.7% of the studies further under-scored
erties continues to pose considerable challenges. These
                                                              their ongoing relevance in academic and industrial ap-
include scale-up issues, where behaviors observed at lab-
                                                              plications. Through this review, the review paper also
oratory scales do not always predictably translate to in-
                                                              explored the burgeoning potential of bubble flow dynam-
dustrial scales, and the handling of multi-phase mixtures



                                                         64
Mohamed S. Mohsin et al. CEUR Workshop Proceedings                                                                     60–68




Figure 2: Distribution Analysis of Heat Exchanger Research Studies: (a) Mixture Type Distribution; (b) Type of Analysis
Distribution; (c) Simulation Software Distribution; (d) Study Approach Distribution.



ics to position it as a novel methodological approach that            S. Sehgal, I. Kumar, Experimental and cfd analysis
could significantly augment heat transfer efficiency. The             of circular tube heat exchangers with solid-hollow
study thereby lays a foundation for future transformative             inserts, International Journal on Interactive Design
advancements in heat exchanger technologies.                          and Manufacturing (IJIDeM) 18 (2024) 2467–2479.
                                                                  [4] G. Zilio, M. Moura, F. dos Santos, T. Possamai,
                                                                      M. Mortean, Nusselt number analysis of printed
References                                                            circuit heat exchangers with straight and zigzag
                                                                      channels, International Journal of Heat and Fluid
 [1] Q. Zhang, R. K. Joshi, D. Xu, A. Tong, L.-S. Fan, A
                                                                      Flow 107 (2024) 109395.
     novel moving bed chemical looping process with
                                                                  [5] C. DUNNE, One dimensional modelling of flow
     integration of combustor heat exchangers for hy-
                                                                      across bypass valves in aerospace heat exchangers
     drogen production: process simulation and techno-
                                                                      (2019).
     economic analysis, International Journal of Hydro-
                                                                  [6] I. P. Nascimento, E. C. Garcia, Heat transfer perfor-
     gen Energy 49 (2024) 823–839.
                                                                      mance enhancement in compact heat exchangers by
 [2] S. A. A. Mehrjardi, A. Khademi, S. M. M. Safavi,
                                                                      using shallow square dimples in flat tubes, Applied
     Performance increasement in shell-and-tube heat
                                                                      Thermal Engineering 96 (2016) 659–670.
     exchangers reinforced with dimpled tubes: A
                                                                  [7] A. D. Jadhav, T. A. Koli, V. H. Patil, A critical review
     correlation-based approach, International Journal
                                                                      on different heat exchangers used for heat trans-
     of Heat and Mass Transfer 226 (2024) 125489.
                                                                      fer between two fluids, Business and Enterprises
 [3] K. Arya, S. Pradhan, V. Nautiyal, N. Gupta, S. Singh,



                                                             65
Mohamed S. Mohsin et al. CEUR Workshop Proceedings                                                                 60–68



     Applications (2014) 149.                                       178 (2019) 207–233.
 [8] S. Rashidi, N. Bakhshi, R. Rafee, Progress and chal-      [19] C. Napoli, G. Pappalardo, E. Tramontana, Using
     lenges of helical-shaped geothermal heat exchang-              modularity metrics to assist move method refactor-
     ers, Environmental Science and Pollution Research              ing of large systems, in: Proceedings - 2013 7th
     28 (2021) 28965–28992.                                         International Conference on Complex, Intelligent,
 [9] H. Azeez mohammed Hussein, R. Zulkifli, W. M.                  and Software Intensive Systems, CISIS 2013, 2013,
     Faizal Bin Wan Mahmood, R. K. Ajeel, Structure                 p. 529 – 534. doi:10.1109/CISIS.2013.96.
     parameters and designs and their impact on per-           [20] S. Missaoui, Z. Driss, R. B. Slama, B. Chaouachi,
     formance of different heat exchangers: A review,               Effects of pipe turns on vertical helically coiled
     Renewable and Sustainable Energy Reviews 154                   tube heat exchangers for water heating in a house-
     (2022) 111842.                                                 hold refrigerator, International Journal of Air-
[10] G. Lo Sciuto, G. Capizzi, S. Coco, R. Shikler, Ge-             Conditioning and Refrigeration 30 (2022) 6.
     ometric shape optimization of organic solar cells         [21] M. Gómez, J. Moya-Rico, A. Larrañaga, N. Cid,
     for efficiency enhancement by neural networks, in:             J. Porteiro, Modeling and optimization of triple
     Advances on Mechanics, Design Engineering and                  tube heat exchangers. theoretical formulation, cfd
     Manufacturing: Proceedings of the International                model and experimental contrast, Thermal Science
     Joint Conference on Mechanics, Design Engineer-                and Engineering Progress (2024) 102658.
     ing & Advanced Manufacturing (JCM 2016), 14-16            [22] V. Morcos, Performance of shell-and-dimpled-tube
     September, 2016, Catania, Italy, Springer, 2017, pp.           heat exchangers for waste heat recovery, Heat re-
     789–796.                                                       covery systems and CHP 8 (1988) 299–308.
[11] G. Lo Sciuto, G. Susi, G. Cammarata, G. Capizzi, A        [23] F. Amir, S. Rizal, R. Thaib, H. Umar, I. Ikramullah,
     spiking neural network-based model for anaerobic               N. A. Abdullah, T. A. Rizal, Energy conservation
     digestion process, in: 2016 International Sympo-               of hvac systems in isolation rooms using heat pipe
     sium on Power Electronics, Electrical Drives, Au-              heat exchangers, Heliyon 10 (2024).
     tomation and Motion (SPEEDAM), IEEE, 2016, pp.            [24] A. Kumar, R. Maithani, A. R. S. Suri, Numerical and
     996–1003.                                                      experimental investigation of enhancement of heat
[12] R. Giuliano, F. Mazzenga, A. Vizzarri, Integration             transfer in dimpled rib heat exchanger tube, Heat
     of broadcaster and telco access networks for real              and Mass Transfer 53 (2017) 3501–3516.
     time/live events, IEEE Transactions on Broadcast-         [25] M. A. Ali, S. N. Shehab, Numerical analysis of heat
     ing 66 (2020) 667–675.                                         convection through a double-pipe heat exchanger:
[13] A. Vizzarri, F. Mazzenga, R. Giuliano, Future tech-            dimpled influence, Journal of Engineering Research
     nologies for train communication: The role of leo              11 (2023) 100016.
     hts satellites in the adaptable communication sys-        [26] B. Debtera, I. Neme, V. Prabhu, Cfd simulation of a
     tem, Sensors 23 (2022) 7261–7272. doi:23.68.10.                double pipe heat exchanger: Analysis conduction
     3390/s23010068.                                                and convection heat transfer, International Journal
[14] F. Fiani, S. Russo, C. Napoli, An advanced solu-               of Scientific Research and Review 7 (2018) 12.
     tion based on machine learning for remote emdr            [27] S. Russo, C. Napoli, A comprehensive solution for
     therapy, Technologies 11 (2023). doi:10.3390/                  psychological treatment and therapeutic path plan-
     technologies11060172.                                          ning based on knowledge base and expertise shar-
[15] E. Iacobelli, V. Ponzi, S. Russo, C. Napoli, Eye-              ing, in: CEUR Workshop Proceedings, volume 2472,
     tracking system with low-end hardware: Devel-                  2019, p. 41 – 47.
     opment and evaluation, Information (Switzerland)          [28] G. Borowik, M. Woźniak, A. Fornaia, R. Giunta,
     14 (2023). doi:10.3390/info14120644.                           C. Napoli, G. Pappalardo, E. Tramontana, A soft-
[16] I. E. Tibermacine, A. Tibermacine, W. Guettala,                ware architecture assisting workflow executions
     C. Napoli, S. Russo, Enhancing sentiment anal-                 on cloud resources, International Journal of Elec-
     ysis on seed-iv dataset with vision transformers:              tronics and Telecommunications 61 (2015) 17 – 23.
     A comparative study, in: ACM International                     doi:10.1515/eletel-2015-0002.
     Conference Proceeding Series, 2023, p. 238 – 246.         [29] C. Napoli, G. Pappalardo, E. Tramontana, A hy-
     doi:10.1145/3638985.3639024.                                   brid neuro-wavelet predictor for qos control and
[17] N. VK, Opportunities, challenges, and state of the             stability, in: Lecture Notes in Computer Sci-
     art of flexible heat-pipe heat exchangers: A compre-           ence (including subseries Lecture Notes in Arti-
     hensive review, Heat Transfer 53 (2024) 893–938.               ficial Intelligence and Lecture Notes in Bioinfor-
[18] H. Javadi, S. S. M. Ajarostaghi, M. A. Rosen, M. Pour-         matics), volume 8249 LNAI, 2013, p. 527 – 538.
     fallah, Performance of ground heat exchangers: A               doi:10.1007/978-3-319-03524-6_45.
     comprehensive review of recent advances, Energy           [30] S. Russo, S. I. Illari, R. Avanzato, C. Napoli, Reduc-



                                                          66
Mohamed S. Mohsin et al. CEUR Workshop Proceedings                                                                   60–68



     ing the psychological burden of isolated oncologi-              ics and Energy (2024) 100674.
     cal patients by means of decision trees, in: CEUR          [40] L. A. Al-Haddad, A. A. Jaber, Applications of ma-
     Workshop Proceedings, volume 2768, 2020, p. 46 –                chine learning techniques for fault diagnosis of
     53.                                                             uavs., SYSTEM (2022) 19–25.
[31] F. Bonanno, G. Capizzi, G. L. Sciuto, C. Napoli,           [41] L. A. Al-Haddad, L. Ibraheem, A. I. EL-Seesy, A. A.
     G. Pappalardo, E. Tramontana, A novel cloud-                    Jaber, S. A. Al-Haddad, R. Khosrozadeh, Thermal
     distributed toolbox for optimal energy dispatch                 heat flux distribution prediction in an electrical
     management from renewables in igss by using wrnn                vehicle battery cell using finite element analysis
     predictors and gpu parallel solutions, in: 2014 In-             and neural network, Green Energy and Intelligent
     ternational Symposium on Power Electronics, Elec-               Transportation (2024) 100155.
     trical Drives, Automation and Motion, SPEEDAM              [42] L. A. Al-Haddad, W. Giernacki, A. A. Shandookh,
     2014, 2014, p. 1077 – 1084. doi:10.1109/SPEEDAM.                A. A. Jaber, R. Puchalski, Vibration signal process-
     2014.6872127.                                                   ing for multirotor uavs fault diagnosis: Filtering or
[32] C. Napoli, G. Pappalardo, E. Tramontana, Improv-                multiresolution analysis?, Maintenance & Reliabili-
     ing files availability for bittorrent using a diffu-            ty/Eksploatacja i Niezawodność 26 (2024).
     sion model, in: Proceedings of the Workshop on             [43] M. Y. Fattah, L. A. Al-Haddad, M. Ayasrah, A. A.
     Enabling Technologies: Infrastructure for Collab-               Jaber, S. A. Al-Haddad, Coupled finite element and
     orative Enterprises, WETICE, 2014, p. 191 – 196.                artificial neural network analysis of interfering strip
     doi:10.1109/WETICE.2014.65.                                     footings in saturated cohesive soils, Transportation
[33] M. L. Cappuccio, J. C. Galliott, F. Eyssel, A. Lanteri,         Infrastructure Geotechnology (2024) 1–18.
     Autonomous systems and technology resistance:              [44] A. A. F. Ogaili, A. A. Jaber, M. N. Hamzah, Statis-
     new tools for monitoring acceptance, trust, and                 tically optimal vibration feature selection for fault
     tolerance, International Journal of Social Robotics             diagnosis in wind turbine blade, Int. J. Renew. En-
     (2023) 1–25.                                                    ergy Res 13 (2023) 1082–1092.
[34] G. C. Cardarilli, L. Di Nunzio, R. Fazzolari, M. Re,       [45] A. A. F. Ogaili, A. A. Jaber, M. N. Hamzah, A method-
     F. Silvestri, S. Spanò, Energy consumption sav-                 ological approach for detecting multiple faults in
     ing in embedded microprocessors using hardware                  wind turbine blades based on vibration signals and
     accelerators, TELKOMNIKA (Telecommunication                     machine learning, Curved and Layered Structures
     Computing Electronics and Control) 16 (2018) 1019–              10 (2023) 20220214.
     1026.                                                      [46] A. A. F. Ogaili, A. A. Jaber, M. N. Hamzah, Wind
[35] L. Canese, G. C. Cardarilli, L. Di Nunzio, R. Fazzo-            turbine blades fault diagnosis based on vibration
     lari, M. Re, S. Spanò, A hardware-oriented qam                  dataset analysis, Data in Brief 49 (2023) 109414.
     demodulation method driven by aw-som machine               [47] A. A. F. Ogaili, M. N. Hamzah, A. A. Jaber, Inte-
     learning, in: 2023 57th Asilomar Conference on                  gration of machine learning (ml) and finite element
     Signals, Systems, and Computers, IEEE, 2023, pp.                analysis (fea) for predicting the failure modes of
     937–941.                                                        a small horizontal composite blade, International
[36] G. C. Cardarilli, L. Di Nunzio, R. Fazzolari, D. Gi-            Journal of Renewable Energy Research (IJRER) 12
     ardino, M. Re, A. Ricci, S. Spano, An fpga-based                (2022) 2168–2179.
     multi-agent reinforcement learning timing synchro-         [48] J. Heeraman, C. Sandeep, P. K. Chaurasiya, Heat
     nizer, Computers and Electrical Engineering 99                  transfer enhancement in double pipe heat ex-
     (2022) 107749.                                                  changer: exploring twisted tape inserts with dim-
[37] G. Capizzi, G. Lo Sciuto, C. Napoli, E. Tramontana,             ple configuration, Journal of Thermal Analysis and
     An advanced neural network based solution to en-                Calorimetry (2024) 1–18.
     force dispatch continuity in smart grids, Applied          [49] M. M. Soltani, M. Gorji-Bandpy, A. Vaisi,
     Soft Computing 62 (2018) 768–775.                               R. Moosavi, Heat transfer augmentation in a
[38] A. A. Shandookh, A. A. F. Ogaili, L. A. Al-Haddad,              double-pipe heat exchanger with dimpled twisted
     Failure analysis in predictive maintenance: Belt                tape inserts: an experimental study, Heat and Mass
     drive diagnostics with expert systems and taguchi               Transfer 58 (2022) 1591–1606.
     method for unconventional vibration features, He-          [50] G. S. Dhumal, S. N. Havaldar, Enhancing heat trans-
     liyon (2024).                                                   fer performance in a double tube heat exchanger:
[39] S. S. Shijer, A. H. Jassim, L. A. Al-Haddad, T. T.              Experimental study with twisted and helical tapes,
     Abbas, Evaluating electrical power yield of pho-                Case Studies in Thermal Engineering 51 (2023)
     tovoltaic solar cells with k-nearest neighbors: A               103613.
     machine learning statistical analysis approach, e-         [51] B. Sunden, Simulation of compact heat exchanger
     Prime-Advances in Electrical Engineering, Electron-             performance, International journal of numerical



                                                           67
Mohamed S. Mohsin et al. CEUR Workshop Proceedings                                                               60–68



     methods for heat & fluid flow 20 (2010) 551–569.        [63] K. Song, Q. Yang, K. Sun, X. Wu, Q. Zhang, Q. Hou,
[52] H. M. Maghrabie, K. Elsaid, E. T. Sayed, M. A. Ab-           Performance promotion by novel fin configurations
     delkareem, T. Wilberforce, M. Ramadan, A. Olabi,             with ellipsoidal dimple-protrusion for a circle tube-
     Intensification of heat exchanger performance uti-           fin heat exchanger, International Communications
     lizing nanofluids, International Journal of Ther-            in Heat and Mass Transfer 157 (2024) 107731.
     mofluids 10 (2021) 100071.                              [64] D. Yogaraj, S. Deepak, G. J. Rakshgan, P. Dwarakesh,
[53] R. L. Penha, J. W. Hines, B. R. Upadhyaya, Monitor-          R. Vishwakarma, P. K. Kujur, Y. A. Rao, Thermal
     ing and diagnosis of a heat exchanger using hybrid           performance analysis of a counter-flow double-pipe
     system modeling, US Department of Energy NEER                heat exchanger using titanium oxide and zinc oxide
     Program, Research report (2003).                             nanofluids, Materials Today: Proceedings (2023).
[54] H. V. Malapur, S. N. Havaldar, G. A. Anderson, Heat     [65] I. Bashtani, J. A. Esfahani, K. C. Kim, Hybrid cfd-ann
     gain in an internally dimpled tube heat exchanger-a          approach for evaluation of bio-inspired dolphins
     numerical investigation, Materials Today: Proceed-           dorsal fin turbulators of heat exchanger in turbu-
     ings 72 (2023) 1530–1536.                                    lent flow, Applied Thermal Engineering 219 (2023)
[55] K. MIYAMOTO, S. KITAYAMA, R. IZUTSU,                         119422.
     S. TABUCHI, S. YAMADA, Design optimization of           [66] M. A. Khairul, M. A. Alim, I. M. Mahbubul, R. Saidur,
     baffle in heat exchanger for improving flow mald-            A. Hepbasli, A. Hossain, Heat transfer performance
     istribution and pressure drop, Transactions of the           and exergy analyses of a corrugated plate heat ex-
     JSME (in Japanese) 88 (2022) 22–00072–22–00072.              changer using metal oxide nanofluids, International
     doi:10.1299/transjsme.22-00072.                              Communications in Heat and Mass Transfer 50
[56] S. A. A. Mehrjardi, A. Khademi, Z. Said, S. Ushak,           (2014) 8–14.
     A. J. Chamkha, Effect of elliptical dimples on heat     [67] M. Mehdizadeh-Fard, F. Pourfayaz, Advanced ex-
     transfer performance in a shell and tube heat ex-            ergy analysis of heat exchanger network in a com-
     changer, Heat and Mass Transfer 59 (2023) 1781–              plex natural gas refinery, Journal of Cleaner Pro-
     1791.                                                        duction 206 (2019) 670–687.
[57] S. Xie, Z. Guo, Y. Gong, C. Dong, J. Liu, L. Ren,       [68] M. R. Esfahani, E. M. Languri, Exergy analysis of
     Numerical investigation of thermal-hydraulic per-            a shell-and-tube heat exchanger using graphene
     formance of a heat exchanger tube with helical dim-          oxide nanofluids, Experimental Thermal and Fluid
     ples, International Journal of Thermal Sciences 177          Science 83 (2017) 100–106.
     (2022) 107530.                                          [69] D.-K. Nguyen, J.-Y. San, Heat transfer and exergy
[58] R. Maithani, A. Kumar, Correlations development              analysis of a spiral heat exchanger, Heat Transfer
     for nusselt number and friction factor in a dimpled          Engineering 37 (2016) 1013–1026.
     surface heat exchanger tube, Experimental heat          [70] L. Li, Y. Zhao, W. Lian, C. Han, Q. Zhang, W. Huang,
     transfer 33 (2020) 101–122.                                  Review on the effect of heat exchanger tubes on
[59] T. D. Hong, M. Q. Pham, Q. T. P. Nghiem, Ther-               flow behavior and heat/mass transfer of the bub-
     mal uniformity enhancement of the motorcycle ex-             ble/slurry reactors, Chinese Journal of Chemical
     haust thermoelectric generator—theory model for              Engineering 35 (2021) 44–61.
     predicting heat exchanger fin profile, Results in       [71] D. Pal, M. Y. Shukla, S. G. Kandlikar, I. Perez-Raya,
     Engineering 19 (2023) 101324.                                Investigating the effect of the fluid properties on
[60] J. Heeraman, R. Kumar, P. K. Chaurasiya, H. I. Be-           bubble dynamics and heat transfer in a tapered mi-
     loev, I. K. Iliev, Experimental evaluation and ther-         crogap with multiphase flow modeling, Applied
     mal performance analysis of a twisted tape with              Thermal Engineering 236 (2024) 121825.
     dimple configuration in a heat exchanger, Case          [72] P. Xu, L. Chen, J. Chen, D. Mei, X. Zhang, X. Mi,
     Studies in Thermal Engineering 46 (2023) 103003.             J. Chen, Pressure drop characterization on cryo-
[61] M. Miansari, M. R. Darvishi, D. Toghraie,                    genic multiphase flow in spiral wounded heat ex-
     P. Barnoon, M. Shirzad, A. a. Alizadeh, Numerical            changer under high mass flow conditions, Applied
     investigation of grooves effects on the thermal              Thermal Engineering 234 (2023) 121257.
     performance of helically grooved shell and coil
     tube heat exchanger, Chinese Journal of Chemical
     Engineering 44 (2022) 424–434.
[62] A. J. Al-Lami, E. Y. Kenig, New pressure drop and
     heat transfer correlations for turbulent forced con-
     vection in internally channeled tube heat exchanger
     ducts, Case Studies in Thermal Engineering 54
     (2024) 103993.



                                                        68