=Paper=
{{Paper
|id=Vol-2547/paper15
|storemode=property
|title=Use of simulators together with virtual and augmented reality in the system of welders’ vocational training: past, present, and future
|pdfUrl=https://ceur-ws.org/Vol-2547/paper15.pdf
|volume=Vol-2547
|authors=Olena O. Lavrentieva,Ihor O. Arkhypov,Olexander I. Kuchma,Aleksandr D. Uchitel
|dblpUrl=https://dblp.org/rec/conf/aredu/LavrentievaAKU19
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==Use of simulators together with virtual and augmented reality in the system of welders’ vocational training: past, present, and future==
https://ceur-ws.org/Vol-2547/paper15.pdf
201
Use of simulators together with virtual and augmented
reality in the system of welders’ vocational training: past,
present, and future
Olena O. Lavrentieva1[0000-0002-0609-5894], Ihor O. Arkhypov1[0000 6431 3002 0003],
Olexander I. Kuchma1[0000-0003-0659-2599] and Aleksandr D. Uchitel2[0000-0002-9969-0149]
1 Kryvyi Rih State Pedagogical University, 54, Gagarin Ave., Kryvyi Rih, 50086, Ukraine
helav68@gmail.com
2 Kryvyi Rih Metallurgical Institute of the National Metallurgical Academy of Ukraine,
5, Stepana Tilhy Str., Kryvyi Rih, 50006, Ukraine
o.d.uchitel@i.ua
Abstract. The article discusses the theory and methods of simulation training, its
significance in the context of training specialists for areas where the lack of
primary qualification is critical. The most widespread hardware and software
solutions for the organization welders' simulation training that use VR- and AR-
technologies have been analyzed. A review of the technological infrastructure
and software tools for the virtual teaching-and-production laboratory of electric
welding has been made on the example of the achievements of Fronius,
MIMBUS, Seabery.
The features of creating a virtual simulation of the welding process using
modern equipment based on studies of the behavioral reactions of the welder have
been shown. It is found the simulators allow not only training, but also one can
build neuro-fuzzy logic and design automated and robotized welding systems.
The functioning peculiarities of welding's simulators with AR have been
revealed. It is shown they make it possible to ensure the forming basic qualities
of a future specialist, such as concentration, accuracy and agility.
The psychological and technical aspects of the coaching programs for the
training and retraining of qualified welders have been illustrated.
The conclusions about the significant advantages of VR- and AR-technologies
in comparison with traditional ones have been made. Possible directions of the
development of simulation training for welders have been revealed. Among them
the AR-technologies have been presented as such that gaining wide popularity as
allow to realize the idea of mass training in basic professional skills.
Keywords: simulation training, couching programs for welders training,
hardware and software for simulation training.
1 Introduction
In order to make professional preparation more attractive and engage in a new
generation of skilled workers, computer-centric technologies, such as computer training
___________________
Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License
Attribution 4.0 International (CC BY 4.0).
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devices and simulators, are increasingly used. These are computer applications
imitating the behavior of real objects, processes, systems and their interfaces in a
variety of conditions. Having gone a long way in their evolution, now training devices
and simulators build on the technologies of virtual reality (VR) and augmented reality
(AR). They are generally recognized to organize professional training in line with
principles of visualization, gamification, task centered and activity approaches.
In the system of training and retraining of qualified welders, thanks to the rapid
development and cheapening of computer technology and progress in the field of AR-
and VR-technology, machine vision, artificial intelligence systems and whatever, the
training simulators are widely used. This makes it possible to increase the efficiency of
vocation training by several orders of magnitude in compare with the traditional form
of welders training. According to the estimates of flagships this market segment, in
particular Fronius, Seabery and others, this allows to prepare certified welders more,
then 34%, to reduce the training period by 56%, decrease the cost of laboratory work
by 68%, to diminish CO2 emissions to the environment, to save considerable resources
and materials, to avoid physical risks for students in 84% of cases [31].
The programs of welding training that based on simulators are being created and
implemented everywhere. Such programs are also patronized by the Ministry of
Education and Science of Ukraine, which started 50 modern training centers for
qualified welders’ preparation. During 2017-2018, they received government
assistance on a tender basis for the modernization of the material-and-technical and
training resources. By means of this program three vocational education institutions
have purchased modern virtual welding devices [41].
Although the problem under investigation couldn’t call current, a lot of teachers and
masters of vocation training are not well-versed in this field; they insufficiently master
of the simulation training with use AR- and VR-technologies.
The purpose of the publication is to review the most common hardware and software
solutions for the simulation training of welders, as well as analysis of the advantages
and disadvantages of such training using AR- and VR-technologies.
2 Materials and methods
Should take into account, the performance and quality of welding depend on the used
welding equipment, the materials, the welding modes, and last but not least – from the
welders’ qualification, the level their theoretical knowledge and practical skills, as well
as the degree their readiness to be make quick and reasonable decisions. Such qualities
are possible to obtain only due to the long-term training. However, this process can
significantly accelerate if ones use of the simulators and training devices.
The issues the methodology on working with emulator programs and simulator ones
are investigated by Albert A. Azayan [15], Ihor S. Chernetskiy [6], Muhammet
Demirbilek [7], Roman M. Horbatiuk [8], Arnold E. Kiv [14], Oleksandr H. Kolgatin
[3], Maiia V. Marienko [19], Yevhenii O. Modlo [25], Vitalii Ya. Pazdrii [27], Halyna
V. Popova [18], Irina A. Slipukhina [33], Vladimir N. Soloviev [32], Illia O. Teplytskyi
[38] and others.
203
General aspects of the application of AR- and VR-technologies in the simulation
studies organization are being disclosed by Victor V. Aulin [1], Platt Beltz [2],
Yevhenii O. Modlo [23], Serhiy O. Semerikov [24], Viktoria V. Tkachuk [39], Denis
O. Velykodnyi [1], Yuliia V. Yechkalo [36] and others.
The state-of-the-art successes in the design of the ideology of simulation training
together with use AR-and VR-technologies have contributed to the development of the
theory and methodology of vocational training, which is being developed by Christian
Dominic Fehling [9], Mario Heinz [13], Dieter Mueller [26], F. David Rose [28], Lina
M. Rubalko [29], Kai Schmudlach [30], Huiying Zhao [43] and others [16].
Well-grounded approaches to the use of AR-and VR-technologies for the design of
training simulators in the welding industry are being elaborated by such well-known
companies as Amatrol [42], Fronius [11], Miller Electric [21], MIMBUS [22], Seabery
[31], Tech-Labs [37], Virtual Logic Systems [40], etc. The developments that have been
started by these companies are being widely used for simulation training in a lot of
countries around the world. Researches in the area of engineering psychology
concerning formation of the most important competencies in qualified welders while
the use of these firms’ simulators are being carried out by Ryan G. Anderson [4], Alex
P. Byrd [4], Siu-Ju Chen [5], Yukang K. Liu [5], Richard T. Stone [4], Yan-Ming Zhang
[5] and others. It’s determined the prototype and analogue of modern training
technologies for welders is the methodology of the simulation training for medical
staffs [35].
3 Results and discussion
3.1 Features of the virtual teaching-and-production laboratory of
electric welding
It should make a point that the simulation is a reproduction of a system or process
purely virtually. Typically, imitation refers only to certain properties, capabilities or
functions, and in the extent that is necessary within the framework of set tasks. As to
the participant of the simulation process, the work is being done by him/her like in
actual fact; at the same time the simulator’s functional part is virtual either completely
or almost completely.
In the medical education system the simulation training signifies an important role
as one enables a future specialists to develop their skills and abilities without risk for
the patient. Simulation is treated as a technique (but not a technology) allowing either
to replace or to enrich intern’s the practical experience by means of an artificially
created situation. Simulation reflects and reproduces the problems taking place in the
real world in a fully interactive manner [12].
Simulation training is a compulsory component of vocational education that uses a
model of professional activity. It enables future specialists to carry out their
professional activity or its element in line with professional standards and / or rules
with the help of “immersing into a particular environment” [35, p. 36].
The equipment kit of the virtual training laboratory allows accelerating the learning
process of welding technology (and therefore reducing costs), improving the quality of
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the specialists’ training. These are the computer based systems imitating the welding
equipment and tools, as well as typical welder scenarios. The simulators usually build
in accordance to the recommendations of the International Program of Welders IWS,
the Programs Sense AWS, the German DVS Media, CESOL, etc., and based on
American ASME and European ISO standards [22].
On the whole, the wide variety of equipment offering for the virtual educational and
production laboratory can be divided into three categories. One is an educational
solution (Fig. 1a), another is a transportable industrial solution (Fig. 1b), yet another is
a heavy industrial solution (Fig. 1c).
a) b) c)
Fig. 1. Main types of equipment for welding training laboratory on the example of products of
companies MIMBUS (a, c) [22] and Fronius (b) [11]
Both the additional means of VR and AR (3D glasses, welder’s gloves and helmet) and
equipment (torches, rack, table, workstation, coupons, holders and whatever) use in
various combinations for realize the assigned tasks of vocational preparation. This
allows for virtual welding of various details unrestricted that the protective devices or
missing welding equipment can give at the time of work in a real environment.
Fig. 1a demonstrates the capabilities of Z-Space technology. For its implementation,
it is necessary to have only a monitor with a touch screen, stylus, 3D-glasses. The
software includes a wide range of training exercises by means of a stylus with a view
to learning the processes that most commonly use in welding production. There are
simulations of Manual Metal Arc (MMA) welding and Metal Inert / Active Gas (MIG
/ MAG) one in this set. The goal of such a training device is mastering by trainees the
theoretical knowledge and development their welder’s important qualities, such as
concentration, accuracy and agility [22].
Fig. 1b presents an industrial solution with a full set of tools including the capability
to Tungsten Inert Gas (TIG) welding and simulating short arc, spray and pulse. There
are a touch screen monitor, a welding burner, a surveillance device and a work surface.
Most of the known simulators of this type are equipped sound devices for imitation the
tones that arising while welding, as well as for the generation of warning signals in the
case of improper actions by the trainee. All of this can be located in a lightweight and
portable case. Work with the simulator takes place in real time with a burner that
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completely simulates the welding process. To determine the quality of the welding and
the shape of the weld, monitor the position of the burner and the speed of its movement
the sensitive sensors are used. Furthermore the system can analyze the dependence of
the shape and the quality of the made seam from the input initial parameters of welding
[22; 37].
Fig. 1c shows an industrial solution for a virtual training laboratory for welding
including all of the options that described above. It is an integrated robot weighing
about 200 kg with a computer controlled mobile display; a set of burners and equipment
for different types of welding and various positions whiles the work. The system is
protected by locks, an emergency stop and an inverter, that enables the trainee to
perform a significant amount of exercises autonomously and with significant level of
safety [22].
3.2 The simulation of welding with AR-technologies
Prima facie, VR-technology is rather as promising for welders’ preparation then AR
one. However, AR, using elements of the real production environment and imposing
on it a certain proportion of virtual information, can significantly improve the efficiency
of simulation training process.
The equipment’s kit offering for the implementation of this idea, almost fully
simulate the real welding machine. Fig. 2 presents the main elements of this
technological solution developed by Soldamatic and Lincoln Electric. As can be seen
it includes:
─ the real torches with in adapted tip with markers for AR detecting;
─ the consumable electrode sticks and torches with grip that have a mechanism
imitating electrode’s burning out;
─ the simulator based on real sources of welding current that made in either mobile or
industrial versions; it supports all four manual arc welding process (TIG, MIG,
MAG, MMA);
─ the AR helmet, it is an analogue of a real welding mask that can reflect the
surroundings of your welding space as well as simulate the future result;
─ the PVC coupons to simulate work with different welding surfaces;
─ the torches to perform high-quality welds of the type Gas Metal Automatic Welding
(GMAW), Gas Tungsten Automatic Welding (GTAW) and Submerged Metal
Automatic Welding (SMAW).
The system can also include volumetric models for simulating welded joints and
welding positions, a display, a torch tracking system, an audio device for simulating
sound, and whatever. Thanks to ergonomic welding torches and typical details of the
simulator’s kit, one can safely learn welding while use different parameters. The four
functional packages that supply with kit allow one to work through four process options
– TIG, MIG, MAG, and MMA [11].
The control center is provided access to several functions, such as: a welding track;
distance between sheet steel and nozzle; the speed of the welding, the orientation and
the welding angle, the time of the exercise. During operation by means of the
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electromagnetic field and sensors the device transmits the direction of the torch, the
distance to the product and even weak hand movements. An additional sensor on the
AR Helmet makes it possible to see the product in all angles on the touch screen or 3D-
glasses. In the end, one can analyze the result obtained by evaluating the length of the
welding arc, the speed of the welding passage, the angle of inclination during the
welding passage, the angle of the torch, the distance to the workspace, the pores into
the welded joint, the burrs during welding, the cuts, the etching, the welding of the root
and whatever [37].
a) b)
Fig. 2. A set for the organization of Augmented Training by Seabery (a) and Lincoln Electric
(b), [31; 37]
At the moment, AR-technology in the training of welders are widespread to mobile
applications, and, take note, in most cases, they are either free or conditionally free.
The apps can run on an ordinary smartphone, a tablet PC, and so on, it is enough so that
this gadget has a reader device and a touch screen.
Soldamatic AR is a freeware app to test the theoretical knowledge of welders
offering by the Play Market (show Fig. 3). To attach an AR to the surface as a marker
one can use whatever, even a business card.
As you can see, it almost simulates the equipment that was given on Fig. 2a. Thanks
to AR-technologies it is possible to see on the gadget’s screen the various types of
welding equipment, to consider it from different sides, to simulate the work fully with
a real welding machine, as well as to check the theoretical knowledge of three topics
(types of welding, types of welding joints, spatial position of the welding unity).
In the upper left angle of the Fig. 3a you can see symbols of welding types: TIG,
MIG / MAG, MMA. Below them AR cursor is presented, if you are touching it, the
markers are added to the product. The following one can see the types of welding joints,
such us: butt, T-shaped, lapped, pipe-plate, pipe-pipe ones. In the upper right angle in
Fig. 3a there are marks of the standards of the spatial position of the welding.
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a) b)
Fig. 3. Soldamatic AR Dialog Box
Welducation basic is a free game virtual welding simulator developed by Fronius. It
can help arranging work on training and controlling knowledge of welders.
The simulator offers like variants for work the AR- or 3D-technologes. In any case
the Fronius logo is a marker for fixing the augmented reality.
As you can see from Fig. 4, the menu on the choice of welding connection is offered
on the right side. App’s menu proposes: bead on a plate, fillet and single weld. As soon
as user has chosen a type of welding connection in the next window a burner simulator
will appear and one will be able to start simulating the welding process. Over and above
the app offers 50 questions with four variants of answers that to be solved for a certain
period of time.
Fig. 4. Work in Welducation basic in simulator mode
Unfortunately, within the publication it is impossible to disclose all the existing
proposals from producers for the organization of welders’ simulation training based on
AR-technologies.
Far-reaching prospects in this area are discovered in using SMART-glasses
technologies. These glasses are equipped with technical features that provided by the
processor. Ones can be manage in several ways, including buttons, sensors, voice or
gestures, or using a connected smartphone and others devises. They are also able to
perform various manipulations with the incoming information, as well as record and
transmit information through the Wi-Fi system. As you understand, this is only the
beginning their development way [20].
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The device weighs about 400 grams and it is fully compatible with the existing
analogues in its own technical and software characteristics. The glasses are completed
with several 120 degree cameras, screens, microphones and speakers that facilitate the
transfer of the enhanced image AR and create a natural sound effect from the object
[20].
According to experts mean these devices or their analogs may be about to squeeze
smartphones out of the market and make significant changes to the ideology of
simulation training. What’s more, we understand that technologies AR that
implemented by virtue of mobile devices and smart-glasses have become a serious
alternative to Z-Space technology in the welders’ preparation process.
However, it should be noted the simulation training to be carried out according to a
certain methodic and its structure must not depend on the type of used equipment.
3.3 Augmented training as a comprehensive educational and
technological solution
The creation of welder simulators and building on their basis training programs using
AR- and VR-technologies has become the answer to the issues naturally occurring in
the vocational training process. As it is known, welding is a harmful high-temperature
procedure which with the formation of molten metal spray, with ultraviolet radiation
and with the evolving of welding smoke and aerosols. During a training process a lot
of samples are being processed that need to be further disposed of, furthermore the
materials and energy are being consumed. At the same time there is a lack of qualified
instructors for training and retraining of welders [11].
The welding’s simulator is a device imitating of movements of a welder during
welding that shows the welding process and the obtained outcomes [37].
As soon as the AR-and VR-based welding simulation launch, a lot of steps have been
taken to improve hardware and software solutions for simulation training. The main
achievements in this direction are the creation of the most realistic three-dimensional
weld pool and human welder response models that were built by observing the actual
work of the welder. Researches in this area of expertize have been realizing around
study of the reactions of welders and the work of automated welding systems, which
are able to change the parameters, whiles the process, depending on the type of the weld
pool [4].
Investigators of this problem have discovered and originated a neuro-fuzzy logic of
the human welder behavior, and compared reaction an experienced welder with it
reproduction by automated welder machines. Due to this fact the machine algorithms
were created that can manage a simulation training through feedback systems. Initially,
the visual feedback devices were made for VR trainers, but they were not as effective
for vocational training as a systems basing on vibration sensors on the welding helmet.
It is these devices that have made it possible for trainees to immerse themselves in a
VR environment and organize simulation exercises [4; 5].
All companies offering hardware and software for simulation welding training
formulate their proposals on a modular basis. This approach allows, first of all, to
consider carefully all the pros and cons, to selection the most necessary equipment and
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software, to save money, to create a long-term plan for further equipping the training
virtual laboratory, and, at the end of the day, to choose the most appropriate training
programs.
Soldamatic’s ideologues and managers have been given a definition of Augmented
Training as a comprehensive educational and technological solution that are
implemented a new paradigm of professional, technical and production training, using
innovative technology, resources and techniques based on simulations with VR and
AR, and exploring their management (Fig. 5) [31].
Fig. 5. Soldamatic Augmented Lab [31]
The simulator is built on the implementation of a task-oriented approach in training and
contained a powerful library of exercises that designed for any equipment, welding
systems or their subsystems. It is a reliable tool for analyzing and evaluating
performance of typical exercises, which enables monitoring of the effectiveness of the
trainee’s work [31].
The simulator cover a wide range of tasks, such as: forming of effective welding
skills for beginners and either improvement or acquisition of new skills in certified
staffs; adaptation to the specific production of new welding technologies; receiving
qualification requiring for the operation and programming of automated and robotized
welding systems [37].
In general the technology of simulation training consist five consecutive stages [35,
p. 38-40]:
1. It is entrance testing. According to its results, a program and a training route for the
welder are formed.
2. It is briefing that conducted with the analysis of theoretical material and fixing the
“key” provisions.
3. Work with computer training devices and simulators.
Supposedly the choice of simulation technique is mediated by the trainee’s previous
practical experience as well as a set of procedures that welder would like shaping. In
welders’ vocation training it can be used the following leading systems, such as:
objective, operational, motor-training, subject-operational (complex) and design-
technological ones.
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The work takes place in two stages. The first stage is a theoretical training mode
consisting of 3 sections. The so-called “Ghost”, a virtual teacher, gives a piece of
advices to trainee. In this manner the best technique for performing the exercise is
indicated. The Ghost presets the optimum welding speed, the distance to the workspace
and the angle of inclination of the welding torch. The colored signals on the screen,
similar to the signal of the traffic light, and the realistic welding sounds show to trainee
the current status of the process, fixed the errors and / or correctly performed actions.
The visualization of the welding process and trainee’s hands can be traced on the built-
in touch screen as well as to broadcast in a larger format through a projector or a TV
screen. In this mode the corrections in welder’s actions can be made [11].
The second stage is a simulation that includes 2 sections. Initially, the beginner trains
to perform welding in the real situation – unassisted of so-called Ghost, a virtual coach.
Then the trainee himself may be about to set the necessary parameters (Fig. 6). This
well-designed learning structure always provides the high results [11].
Fig. 6. Fronius simulator menu [11]
Depending on the composition of the procedure that forming, the simulator can provide
a consistent execution of exemplary action at a slowed pace; then to fulfilment it at a
natural pace with a demonstration of speed and correct execution. Finally, one arranges
a series of exercises for working out simple abilities and their automation. After skills’
shaping in, usually tasks are offered; they based on the most probable professional
situations and made in order to include a new skills in the spectrum of already formed
competences and their transfer to new non-standard situations [17; 10].
4. It is Debriefing. On this stage the welding quality and fixedly attached of levels
process can be analyzed and verified. The simulator can detect the welding defects
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and establish their causes, to reproduce the movements of the torch during simulation
and to save data. The training process can be printed, if necessary, for evaluation by
an instructor or whoever (Fig. 7). The system evaluates the welder’s skills basing on
five welding parameters; these are position, arc length, work angle, travel angle, and
travel speed [34].
Fig. 7. Possible results of debriefing [34]
5. It is summing up of work and the test control. As has been shown in a lot of
investigations the objective system of estimation of welding within the limits of
simulators is developed allowing estimating actions of the trainee under certain
parameters. The program automatically generates a score sheet including an
assessment of each trainee’s individual performance. It allows getting information
about that must to be repeated and that to be focused on [34].
This system also enables to compare trainees’ grades and track their skills upgrades.
4 Conclusions
Simulation is a technique that allows either replace or to enrich the trainee’s practical
experience with the help of an artificially created situation reflecting and reproducing
problems that take place in the real world in a completely interactive manner [12].
Simulation training is a compulsory component of vocational training that uses the
professional model to enable everyone to perform actions effectively and productively
and in accordance with professional standards by means of immersing in a specific
environment [35, p. 36].
For one’s turn simulation training founding on AR- and VR-technologies has a
number of advantages. It allows improve the educational process, to accelerate the
transfer of knowledge and experience, and also to take up to new qualitative level the
vocation preparation and retraining of welders, to facilitate one the process of transition
to other types of equipment and technologies.
Simulation training technology in generally consists of five consecutive steps [35,
p. 38-40], such as: Initial testing → Briefing → Work with simulators and simulators
→ Debriefing → Summary of work, test control.
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In this time welding simulators are complex systems of visualization, imitation and
simulation including both computer programs and physical models, based on special
methodology. The simulator trainings and the coaching programs are oriented both on
the development of trainee’s practical skills with their theoretical study. They are
designed to prepare the trainee for making quality and fast decisions in the future
professional area. Visualization of educational material and practical actions facilitate
its perception and assimilation, built-in gamification enables to push up the motivation
and emotional adjustment of students on several orders. Such programs are able to
progress along together with as well as those taught and trainees [2].
Simulators allow not only training, but also ones to investigate the responses of the
human welder’s during the simulator’s work, build neuro-fuzzy logic and design
automated and robotized welding systems.
The only disadvantage of such simulators is too much high their cost. One way to
look at this issue is a choose alternative from the standpoint of simulators’ cost and also
its benefits and advantage. In fact, if the simulation is closer to the actual operation of
the welding equipment, then cost and potential benefits are higher. However, on a case-
by-case basis it should to be guided by specific teaching and production tasks. In any
case, during the first year using the simulators they will be able to pay for themselves
fully.
Significant prospects are observed in the widespread introduction of mobile
educational AR apps and SMART-technologies in general. These devices or their
analogs is seems may soon squeeze smartphones out of the market and make significant
changes to the ideology of simulation training for welders.
References
1. Aulin, V., Lysenko S., Hrynkiv, A., Velykodnyi, D., Chernai, A., Lukashuk, A.:
Regularities of dynamics of change in tribotechnical characteristics of coatings formed by
tribotechnologies of restoration. Problems of Tribology 91(1), 73–80 (2019).
doi:10.31891/2079-1372-2019-91-1-73-80
2. Beltz, P.: Simulation improves operator training: PC-based simulation cuts operator training
costs while yielding superior results as compared to other training methods. InTech
Magazine Jan-Feb. https://www.isa.org/standards-and-publications/isa-
publications/intech-magazine/2012/february/system-integration-simulation-improves-
operator-training/ (2012). Accessed 26 December 2018
3. Bilousova, L.I., Kolgatin, O.H., Kolgatina, L.S.: Computer Simulation as a Method of
Learning Research in Computational Mathematics. In: Ermolayev, V., Mallet, F.,
Yakovyna, V., Kharchenko, V., Kobets, V., Korniłowicz, A., Kravtsov, H., Nikitchenko,
M., Semerikov, S., Spivakovsky, A. (eds.) Proceedings of the 15th International Conference
on ICT in Education, Research and Industrial Applications. Integration, Harmonization and
Knowledge Transfer (ICTERI, 2019), Kherson, Ukraine, June 12-15 2019, vol. II:
Workshops. CEUR Workshop Proceedings 2393, 880–894. http://ceur-ws.org/Vol-
2393/paper_209.pdf (2019). Accessed 30 Jun 2019
4. Byrd, A.P., Stone, R.T., Anderson, R.G.: The Use of Virtual Welding Simulators to
Evaluate Experienced Welders. Welding journal 94(12), 389–395 (2015)
213
5. Chen, S.J., Huang, N., Liu, Y.K., Zhang, Y.M.: Machine-assisted travel speed control in
manual welding torch operation. International Journal of Advanced Manufacturing
Technology 76(5–8), 1371–1381 (2015). doi:10.1007/s00170-014-6310-9
6. Chernetskyi, I.S., Pashchenko, Ye.Yu., Atamas, A.I., Shapovalov, Ye.B., Shapovalov,
V.B., Bulhakov, I.V.: Vykorystannia informatsiinykh instrumentiv dlia stukturyzatsii ta
vizualizatsii naukovykh znan pry provedenni poperednoho doslidzhennia (The use of
information tools for structuring and visualization of scientific knowledge during the
preliminary investigation). Scientific notes of the Junior Academy of Sciences of Ukraine,
Series: Education 7, 20–28 (2015)
7. Demirbilek, M., Koç, D.: Using Computer Simulations and Games in Engineering
Education: Views from the Field. In: Ermolayev, V., Mallet, F., Yakovyna, V., Kharchenko,
V., Kobets, V., Korniłowicz, A., Kravtsov, H., Nikitchenko, M., Semerikov, S.,
Spivakovsky, A. (eds.) Proceedings of the 15th International Conference on ICT in
Education, Research and Industrial Applications. Integration, Harmonization and
Knowledge Transfer (ICTERI, 2019), Kherson, Ukraine, June 12-15 2019, vol. II:
Workshops. CEUR Workshop Proceedings 2393, 944–951. http://ceur-ws.org/Vol-
2393/paper_345.pdf (2019). Accessed 30 Jun 2019
8. Fedoreiko, V.S., Horbatiuk, R.M., Pavkh, I.I., Rutylo, M.I.: Imitatsiine kompiuterne
modeliuvannia yak efektyvnyi zasib pidhotovky maibutnikh uchyteliv tekhnolohii ta
inzheneriv-pedahohiv (Simulative computer modeling as means of preparing teachers most
effective technology engineers and educators). Naukovi zapysky Ternopilskoho
natsionalnoho pedahohichnoho universytetu imeni Volodymyra Hnatiuka, Ser. Pedahohika
3, 327–333 (2011)
9. Fehling, C.D., Müller, A., Aehnelt, M.: Enhancing Vocational Training with Augmented
Reality. In: Proceedings of the 16th International Conference on Knowledge Technologies
and Data-driven Business, Graz, October 18-19, 2016
10. Fronius: Virtual Welding. https://www.fronius.com/en/welding-technology/our-
expertise/welding-education (2018). Accessed 20 December 2018
11. Fronius: Virtual Welding: welder training of the future.
https://www.fronius.com/en/welding-technology/our-expertise/welding-education/virtual-
welding (2018). Accessed 20 December 2018
12. Gaba, D.M.: The future vision of simulation in health care. Quality and Safety in Health
Care 13, i2–i10 (2004). doi:10.1136/qhc.13.suppl_1.i2
13. Heinz, M., Büttner, S., Röcker, C.: Exploring training modes for industrial augmented
reality learning. In: PETRA '19: Proceedings of the 12th ACM International Conference on
PErvasive Technologies Related to Assistive Environments, June 2019, pp. 398–401
(2019). doi:10.1145/3316782.3322753
14. Kiv, A.E., Merzlykin, O.V., Modlo, Ye.O., Nechypurenko, P.P., Topolova, I.Yu.: The
overview of software for computer simulations in profile physics learning. In: Kiv, A.E.,
Soloviev, V.N. (eds.) Proceedings of the 6th Workshop on Cloud Technologies in Education
(CTE 2018), Kryvyi Rih, Ukraine, December 21, 2018. CEUR Workshop Proceedings
2433, 352–362. http://ceur-ws.org/Vol-2433/paper23.pdf (2019). Accessed 10 Sep 2019
15. Komarova, O.V., Azaryan, A.A.: Computer Simulation of Biological Processes at the High
School. In: Kiv, A.E., Soloviev, V.N. (eds.) Proceedings of the 1st International Workshop
on Augmented Reality in Education (AREdu 2018), Kryvyi Rih, Ukraine, October 2, 2018.
CEUR Workshop Proceedings 2257, 24–32. http://ceur-ws.org/Vol-2257/paper03.pdf
(2018). Accessed 30 Nov 2018
16. Lavrentieva, O.O., Rybalko, L.M., Tsys, O.O., Uchitel, A.D.: Theoretical and methodical
aspects of the organization of students' independent study activities together with the use of
214
ICT and tools. In: Kiv, A.E., Soloviev, V.N. (eds.) Proceedings of the 6th Workshop on
Cloud Technologies in Education (CTE 2018), Kryvyi Rih, Ukraine, December 21, 2018.
CEUR Workshop Proceedings 2433, 102–125. http://ceur-ws.org/Vol-2433/paper06.pdf
(2019). Accessed 10 Sep 2019
17. Lavrentieva, O.O.: Metodyka orhanizatsii stymuliatsiinoho navchannia v protsesi
pidhotovky kvalifikovanykh robitnykiv (The methodic of organizing simulation training in
preparing the qualified staffs). Paper presented at the All-Ukrainian Scientific Forum
“Adaptive Management Systems in Education”, Kharkiv, 24-28 January, 2019
18. Lvov, M.S., Popova, H.V.: Simulation technologies of virtual reality usage
in the training of future ship navigators. In: Kiv, A.E., Shyshkina, M.P. (eds.) Proceedings
of the 2nd International Workshop on Augmented Reality in Education (AREdu 2019),
Kryvyi Rih, Ukraine, March 22, 2019, CEUR-WS.org, online (2020, in press)
19. Markova, O., Semerikov, S., Popel, M.: CoCalc as a Learning Tool for Neural Network
Simulation in the Special Course “Foundations of Mathematic Informatics”. In: Ermolayev,
V., Suárez-Figueroa, M.C., Yakovyna, V., Kharchenko, V., Kobets, V., Kravtsov, H.,
Peschanenko, V., Prytula, Ya., Nikitchenko, M., Spivakovsky A. (eds.) Proceedings of the
14th International Conference on ICT in Education, Research and Industrial Applications.
Integration, Harmonization and Knowledge Transfer (ICTERI, 2018), Kyiv, Ukraine, 14-
17 May 2018, vol. II: Workshops. CEUR Workshop Proceedings 2104, 338–403.
http://ceur-ws.org/Vol-2104/paper_204.pdf (2018). Accessed 30 Nov 2018
20. Michaud, R.: Augmented Reality Technology: The Future is Here!
http://www.fabricatingandmetalworking.com/2017/02/augmented-reality-technology-
future/ (2017). Accessed 20 December 2018
21. Miller LiveArc Welding Performance Managment System for GMAW & FCAW
applications. https://www.millerwelds.com/equipment/training-solutions/training-
equipment/livearc-welding-performance-management-system-m00803 (2018). Accessed
26 December 2018
22. MIMBUS: Welding simulator for the vocational training WAVE NG.
https://www.mimbus.com/en/portfolio/wave-ng-en/#products (2017). Accessed 20
December 2018
23. Modlo, Ye.O., Semerikov, S.O., Bondarevskyi, S.L., Tolmachev, S.T., Markova, O.M.,
Nechypurenko, P.P.: Methods of using mobile Internet devices in the formation of the
general scientific component of bachelor in electromechanics competency in modeling of
technical objects. In: Kiv, A.E., Shyshkina, M.P. (eds.) Proceedings of the 2nd International
Workshop on Augmented Reality in Education (AREdu 2019), Kryvyi Rih, Ukraine, March
22, 2019, CEUR-WS.org, online (2020, in press)
24. Modlo, Ye.O., Semerikov, S.O., Nechypurenko, P.P., Bondarevskyi, S.L., Bondarevska,
O.M., Tolmachev, S.T.: The use of mobile Internet devices in the formation of ICT
component of bachelors in electromechanics competency in modeling of technical objects.
In: Kiv, A.E., Soloviev, V.N. (eds.) Proceedings of the 6th Workshop on Cloud
Technologies in Education (CTE 2018), Kryvyi Rih, Ukraine, December 21, 2018. CEUR
Workshop Proceedings 2433, 413–428. http://ceur-ws.org/Vol-2433/paper28.pdf (2019).
Accessed 10 Sep 2019
25. Modlo, Ye.O., Semerikov, S.O.: Xcos on Web as a promising learning tool for Bachelor’s
of Electromechanics modeling of technical objects. In: Semerikov, S.O., Shyshkina, M.P.
(eds.) Proceedings of the 5th Workshop on Cloud Technologies in Education (CTE 2017),
Kryvyi Rih, Ukraine, April 28, 2017. CEUR Workshop Proceedings 2168, 34–41.
http://ceur-ws.org/Vol-2168/paper6.pdf (2018). Accessed 21 Mar 2019
215
26. Mueller, D., Ferreira, J.M.: MARVEL: A mixed-reality learning environment for vocational
training in mechatronics. In: Proceedings of the Technology Enhanced Learning
International Conference (TEL 03). https://repositorio-aberto.up.pt/handle/10216/84622
(2003). Accessed 28 Nov 2019
27. Pazdrii, V., Banschykov, P., Kosyk, V., Tropina, I., Hryshchenko, O.: Simulation System
in Educational and Career Guidance State Policy of Ukraine. In: Ermolayev, V., Mallet, F.,
Yakovyna, V., Kharchenko, V., Kobets, V., Korniłowicz, A., Kravtsov, H., Nikitchenko,
M., Semerikov, S., Spivakovsky, A. (eds.) Proceedings of the 15th International Conference
on ICT in Education, Research and Industrial Applications. Integration, Harmonization and
Knowledge Transfer (ICTERI, 2019), Kherson, Ukraine, June 12-15 2019, vol. II:
Workshops. CEUR Workshop Proceedings 2393, 935–943. http://ceur-ws.org/Vol-
2393/paper_428.pdf (2019). Accessed 30 Jun 2019
28. Rose, F.D., Brooks, B.M., Attree, E.A.: Virtual reality in vocational training of people with
learning disabilities. In: Sharkey, P., Cesarani, A., Pugnetti, L., Rizzo, A. (eds.) Proceedings
of the 3rd International Conference on Disability, Virtual Reality and Associated
Technologies, Alghero, Sardinia, Italy, 23–25 September, 2000, pp. 129–135. The
University of Reading, Reading (2000)
29. Rybalko, L., Lavrentieva, O., Voloshko, L., Rozhenko, I.: Innovative Technologies
Application in Education as a Condition for Education for Society Sustainable
Development. International Journal of Engineering and Technology 7(4.8), 671–674
(2018). doi:10.14419/ijet.v7i4.8.27333
30. Schmudlach, K., Hornecker, E., Ernst, H., Bruns, F.W.: Bridging reality and virtuality in
vocational training. In: CHI EA '00: CHI '00 Extended Abstracts on Human Factors in
Computing Systems, April 2000, pp. 137–138 (2000). doi:10.1145/633292.633370
31. Seabery: What – Soldamatic. http://www.soldamatic.com/what/#at (2019). Accessed 21
Mar 2019
32. Semerikov, S.O., Teplytskyi, I.O., Yechkalo, Yu.V., Kiv, A.E.: Computer Simulation of
Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. In: Kiv, A.E.,
Soloviev, V.N. (eds.) Proceedings of the 1st International Workshop on Augmented Reality
in Education (AREdu 2018), Kryvyi Rih, Ukraine, October 2, 2018. CEUR Workshop
Proceedings 2257, 122–147. http://ceur-ws.org/Vol-2257/paper14.pdf (2018). Accessed 30
Nov 2018
33. Slipukhina, I.A., Olkhovyk, V.V., Kurchev, O.O., Kapranov, V.D.: Development of
education and information portal of physics academic course: web design features.
Information Technologies and Learning Tools 64(2), 221–233 (2018).
doi:10.33407/itlt.v64i2.1781
34. Svarochnyj trenazher 3D virtual'noj real'nosti WeldPlus (WeldPlus 3D Welding Simulator).
http://www.smart2tech.ru/prinadlezhnosti/svarochnyj-trenazher-weldplus (2013).
Accessed 20 December 2018
35. Svistunov, A.A., Gorshkov, M.D (eds.) Simulyacionnoe obuchenie v medicine (Simulation
training in medicine). Izdatel'stvo Pervogo MGMU imeni I.M. Sechenova, Moscow (2013)
36. Syrovatskyi, O.V., Semerikov, S.O., Modlo, Ye.O., Yechkalo, Yu.V., Zelinska, S.O.:
Augmented reality software design for educational purposes. In: Kiv, A.E., Semerikov,
S.O., Soloviev, V.N., Striuk, A.M. (eds.) Proceedings of the 1st Student Workshop on
Computer Science & Software Engineering (CS&SE@SW 2018), Kryvyi Rih, Ukraine,
November 30, 2018. CEUR Workshop Proceedings 2292, 193–225. http://ceur-ws.org/Vol-
2292/paper20.pdf (2018). Accessed 21 Mar 2019
216
37. Tech-Labs: VRTEX® Transport™ Virtual Reality Welding Training Simulator.
https://tech-labs.com/products/vrtex-mobile-virtual-reality-arc-welding-trainer (2018).
Accessed 20 December 2018
38. Teplytskyi, O.I., Teplytskyi, I.O., Semerikov, S.O., Soloviev, V.N.: Training future
teachers in natural sciences and mathematics by means of computer simulation: a social
constructivist approach. Vydavnychyi viddil DVNZ “Kryvorizkyi natsionalnyi
universytet”, Kryvyi Rih (2015)
39. Tkachuk, V.V., Yechkalo, Yu.V., Markova, O.M.: Augmented reality in education of
students with special educational needs. In: Semerikov, S.O., Shyshkina, M.P. (eds.)
Proceedings of the 5th Workshop on Cloud Technologies in Education (CTE 2017), Kryvyi
Rih, Ukraine, April 28, 2017. CEUR Workshop Proceedings 2168, 66–71. http://ceur-
ws.org/Vol-2168/paper9.pdf (2018). Accessed 21 Mar 2019
40. Virtual Logic Systems. http://virtuallogicsys.com/ (2014). Accessed 28 Nov 2019
41. Vyznacheno, de tsoho roku vidkryiut 50 NPTs, na yaki vydilyly 100 mln hryven – nakaz
MON (It is determined where 50 NPCs will open this year, for which 100 million UAH
were allocated – the order of the Ministry of Education and Science).
https://mon.gov.ua/ua/news/viznacheno-de-cogo-roku-vidkriyut-50-npc-na-yaki-vidilili-
100-mln-griven-nakaz-mon (2018). Accessed 21 March 2018
42. Who We Are | Amatrol. https://amatrol.com/ (2020). Accessed 10 Jan 2020
43. Zhao, H., Liu, Y., Zhang, L., Shi, J., Li, T.: Application of Virtual Reality Technology in
High Vocational Education. Applied Mechanics and Materials 556–562, 6716-6719 (2014).
doi:10.4028/www.scientific.net/AMM.556-562.6716