=Paper= {{Paper |id=Vol-1638/Paper69 |storemode=property |title=Effect of anisotropic yield criterion on springback in plane strain pure bending |pdfUrl=https://ceur-ws.org/Vol-1638/Paper69.pdf |volume=Vol-1638 |authors=Fedr V. Grechnikov,Yaroslav A. Erisov,Sergei E. Alexandrov }} ==Effect of anisotropic yield criterion on springback in plane strain pure bending == https://ceur-ws.org/Vol-1638/Paper69.pdf
Mathematical Modeling


 EFFECT OF ANISOTROPIC YIELD CRITERION ON
   THE SPRINGBACK IN PLANE STRAIN PURE
                 BENDING

                  F.V. Grechnikov1,2, Ya.A. Erisov1, S.E. Alexandrov3
                      1
                        Samara National Research University, Samara, Russia
         2
            Samara Scientific Center of Russian Academy of Sciences, Samara, Russia
    3
      Institute for Problems in Mechanics, Russian Academy of Sciences, Moscow, Russia



       Abstract. Plastic anisotropy is one of the multiple material representations sig-
       nificantly affecting the springback simulations. The present paper studies the in-
       fluence of the plastic anisotropy over the springback in plane strain pure bend-
       ing by means of the exact semi-analytical solution. The yield criterion and the
       constitutive equations for the orthotropic material with consideration of the
       crystal lattice constants and parameters of the crystallographic texture are used
       taking into account the anisotropy.

       Keywords: anisotropy, crystallographic orientation, yield criterion, springback,
       bending, plane strain, elastic/plastic solution.


       Citation: Grechnikov FV, Erisov YaA, Alexandrov SE. Effect of anisotropic
       yield criterion on the Springback in plane strain pure bending. CEUR Work-
       shop Proceedings, 2016; 1638: 569-577. DOI: 10.18287/1613-0073-2016-1638-
       569-577


1      Introduction

As it is evident from the production analysis of the Russian plants the metal loss in sheet
metal forming processes only amounts up to 45-50%: metal utilization factor in aircraft
industry is about 40%, in engine industry - 30% and in automotive industry - 50%. Pre-
sumably, waste is much higher due to the collateral loss (about 10-15%). In a greater
degree, these losses arise from the undesirable anisotropy of the blank properties.
For most materials the anisotropy of physical and mechanical properties is a rule ra-
ther than an exception [1]. Generally, anisotropy, which stems from the crystal struc-
ture of materials, determines processing and service characteristics of the products. As
to metal forming processes, the undesirable anisotropy not only distorts the shapes
and sizes of the parts, but also limits the formability, causing the excessive thinning of
the material [2]. Therefore, in order to compensate thinning, it is necessary to increase
the initial sizes of the blanks, which in turn results in the metal loss, the weight




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growth of the construction, the technological cycle extension, and, consequently, in
the numerous additional expenses (equipment, areas, power resources, workers, etc).
However, as it follows from the numerous researches [3-6], the influence of anisotro-
py has more advantages rather than disadvantages. For example, the considerable
achievements in material science of the electric steels (e.g. increasing magnetic induc-
tion and capacitance, cutting electric power losses) became possible mainly due to
developing efficient anisotropy of physical properties [7-8].
From the above it appears, firstly, the instant necessity of the anisotropy impact as-
sessing in processing and service characteristics of products; secondly, the necessity
of developing special methods for obtaining and efficient application of anisotropy.
Unfortunately, the imperfection of the process design techniques does not allow con-
sidering anisotropy of the blank properties [9-10] and, as a result, makes the excessive
metal consumption inevitable at the production stage.
A comprehensive overview on springback that follows a sheet forming process when
the forming loads are removed from the workpiece has been provided in [11]. It is
emphasized that plastic anisotropy is one of the various material representations that
significantly affects the springback simulations. In the present paper, the effect of the
springback plastic anisotropy in the plane strain pure bending is studied by means of
the exact semi-analytical solution.


2      Theory of bending at large strain

The theory of the elastic/plastic plane strain bending of an incompressible anisotropic
sheet obeying the quadratic Hill yield criterion [12] has been presented in the article
[13]. Ultimately, the main results of this work are represented in this section. The
solution is based on the following mapping between the Eulerian Cartesian coordinate
system (x, y) and the Lagrangian coordinate system (  ,  )
 x          s                 s      y            s
              cos  2a      ,                  sin  2a  ,                   (1)
 H      a a   2               a      H       a a2
where H is the initial thickness of the sheet, s is an arbitrary function of a , which is
a function of the time, t , and a  0 at t  0 . It follows from Eq. (1) that x   H and
 y   H at a  0 if
s  1 4 at a  0.                                                                     (2)
It can be verified by the inspection through the application of l’Hospital’s rule to
Eq. (1), with the use of Eq. (2), as a  0 . Eq. (1) and (2) a transformation description
of the rectangle defined at the initial instant a  0 , by the equations x  H , x  0
and y   L (or, in the Lagrangian coordinates, by the equations   1 ,   0 and
   L H ) into the shape determined by the two circular arcs, AD and CB, and the
two straight lines, AD and CB (Fig. 1).
It is convenient to introduce a moving cylindrical coordinate system ( r,  ) by the
equations of transformation




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x   s r cos      y r sin 
            and          .                                                          (3)
H a      H        H    H




                         Fig. 1. Geometry of the process - notation

The origin of this coordinate system is located at x H   s a and y  0 . The lines
CB and DA are determined by the equations    0 , and the lines AB and CD by the
equations r  rAB and r  rCD , respectively (Fig. 1).  0 , rAB , and rCD are the func-
tions of a . Using Eq. (1), it is also possible to get the following relations
 rAB     s    r         s 1            2aL h         s  sa
          , CD            , 0          ,                  ,                    (4)
  H     a      H         2   a          H H             a
                       a
where h is the current thickness.
In the case of the elastic/plastic bending, there are two plastic regions and one elastic
region. Let    1  a  and    2  a  be the elastic-plastic boundaries moving from
  0 and   1 , respectively. Then, the distribution of the stresses is given by
          a  s           as 
       ln          ,       ln       2                                           (5)
  T         s  T                 s 
in the region  1  a     0 ,
         a  s         sa 
     ln          ,     ln        2                                             (6)
 T          s  a    T        a s 
in the region 1     2  a  and




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                            1 2                      p
                                ln  4  a  s     ln  4s  ,
                T              p                        4
                                                                                                               (7)
  1                         p             4
     ln 2  4  a  s     ln  4s   ln  4  a  s  
  T  p                         4             p
in the region  2  a      1  a  . Here

       2a  1  4a 2              exp  p 2   4 s             exp   p 2   4 s
s                   , 1  a                     ,  2 a                      ,
            4                            4a                             4a
                                                X 2Y 2 Z                                2T                     (8)
T                                                                               , p      ,
                                                                      
                                                                             2          G
         2 X 2Y 2 Z 2 Y 2  Z 2  Y 4 Z 4  X 4 Y 2  Z 2
where X , Y and Z are the tensile yield stresses in the  - ,  - and z - directions,
respectively, and G is the shear modulus of elasticity.
The bending moment per unit length is defined by
        rAB
M    rdr.
        rCD
Using Eq. (1) and (3), this equation can be transformed to
                    1 
                           0
        2M
                    a T
m                       d ,                                                                                 (9)
     TH 2       1
where m is the dimensionless bending moment.
In the case of the purely elastic unloading, the stress increments are
  
         C1
                
          4  R0  R1
                     2     2
                                   
                                    r   R0 2 
                                ln      
                                                  
                                                  
                                                     
                                       
          p  R12 ln  R1 R0   R0   r 
                                                    1   ,
   T                                                 
                                                   


          
                   
               4  R0  R1
                        2      2
                                                 
                                      r   R02 
                                                 
                                                        
                C1                   ln     1       1,                                                   (10)
   T           p  R12 ln  R1 R0    R0   r 2    
                                                       
                                                                                 1
                               2
                                                    
                                                           
                                                               2
     mf p  H                                R12 R02  1
                                               R1  
C1                                  4 ln      .
      2  R0   R 2 R 2 ln  R R 
                 
                    1    0      1 0           R0  
                                                     
                                                      
Here m f , R0 and R1 are the values of m , rCD and rAB at the end of loading. Also,

r                    sf
                             ,                                                                             (11)
H         af        a 2f
where a f and s f are the values of a and s at the end of loading. Using Eq. (7), in
which a and s should be replaced with a f and s f from Eq. (11), the variation of



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  and  with r H at the end of loading is determined in parametric form with
 being the parameter. Then, the distribution of the residual stresses are found from
 
  res
        
           f
                , 
                        res
                             
                                f
                                    .
The radius rCD after unloading, Ru , is determined as

Ru
    1  C1 
                      
               C1 R02  R12
                                 .
                                                                                    (12)
R0            2 R12 ln  R1 R0 


3      Material model

Let us consider the bending of orthotropic rolled sheet. The principal axes of or-
thotropy coincide with the coordinate lines of the Cartesian coordinate system: x, y
and z are thickness, transverse and rolling directions, respectively, i.e. in the case
under consideration the bending line coincides with rolling direction. Therefore, the
yield function proposed in [14] is:
23  xx   yy   12  yy   zz   31  zz   xx  
                  2                   2                   2

                                                                                   (13)
    5       2 5                   5       2
4   23   xy    12   2yz    31   zx   2 2
                                                             eq .
    2             2               2            
Here  eq is the equivalent stress,  ij are the components of the stress tensor in the
Cartesian system of coordinates. The generalized anisotropy factors ij are defined
as
         15  A  1                  1
ij  1               i   j   k   ,                                     (14)
          3  2 A                     5
where A is the anisotropy factor of a crystal lattice,  i are the parameters of the
crystallographic texture. The anisotropy factor is defined through the compliance
                                  , S1122
constants of crystal lattice S1111               
                                             and S2323
    S  S
A  1111 1122 .                                                                     (15)
         
       2S2323
For a certain crystallographic orientation hkl uvw the parameters of the crystallo-
graphic texture are defined as
    h2 k 2  ki2li2  li2 hi2
i  i i                      ,                                                      (16)
        
       hi  ki  li
         2     2     2 2
                          
where hi , ki , li are Miller’s indices, which determine the i-th direction in the crystal
with respect to the principal axes of anisotropy.
Considering the tension along the principal axes, let us determine the tensile yield
stresses from Eq. (13):



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         12  23      
X                 Y  12 31 Z .                                                            (17)
         23  31     23  31
Using Eq. (17), the last equation of (8) can be transformed into
    Z           12  31
p                                 ,                                                        (18)
    G 1223  2331  3112
where Z is the tensile yield stress in the rolling direction.
Thus, the material model considers the crystal lattice constants ( A ), i.e. chemical
composition of alloy, and the crystallographic texture (  i ), i.e. its thermo-mechanical
treatment. Using this model, it is possible to analyze the influence of the ideal crystal-
lographic orientations over the springback in bending.


4         Numerical results

Let us consider the copper sheet for which components of compliance tensor are
 
S1111                
       15.0 TPa-1; S1122                     
                           6.30 TPa-1 and S 2323  3.33 TPa-1 [15], i.e. A  3.203
(Eq. (15)); the tensile yield stress in the rolling direction Z is 340 MPa; the shear
modulus of elasticity G is 44 GPa. As an example, let us take the following ideal crys-
tallographic orientations: copper {112}<111>, brass {110}<112> (rolling compo-
nents) and Goss {110}<001> (recrystallization component). Also, as a comparison let
us consider the isotropic case, for which A  1 or  i  1 5 [16], i.e. ij  1 .
The parameters of crystallographic texture  i , generalized anisotropy factors factors
ij and parameter p calculated using Eq. (16), (14) and (18) for the stated compo-
nents are listed in Table 1.

    Table 1. The parameters of crystallographic texture and the generalized anisotropy factors
                                 of the single ideal components

      Component             The parameters of crys-       The generalized anisot-       p  103
                             tallographic texture              ropy factors
 Name        Orientation     1       2       3          12       23      31
Copper      {112}<111>      0.333     0.250     0.250     0.533     1.116    0.533       6.785
 Brass      {110}<112>      0.250     0.333     0.250     0.533     0.533    1.116      10.496
 Goss       {110}<001>        0.0     0.250     0.250     1.703    -0.054    1.703      15.969
Isotro-           -         0.200     0.200     0.200      1.0       1.0       1.0       8.923
  py

The dependence of the bending moment on the radius of the concave surface at the
beginning of the process is shown in Fig. 2. It is seen from this diagram that the effect
of anisotropy is revealed at the very beginning of the process only. Note that the re-
quired bending moment for some ideal crystallographic orientations can be bigger
({112}<111>) or smaller ({110}<112>, {110}<001>) in comparison with the iso-
tropic material.


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         Fig. 2. Effect of ideal crystallographic orientations on the bending moment

The dependence of the springback Ru R0 on value of radius rCD is depicted in
Fig. 3. The figure shows that the springback decreases as the deformation at the end
of loading increases. All other things being equal the orientations {110}<112> and
{110}<001> cause bigger springback than the isotropic material and orientation
{112}<111>, for which the springback is minimal.




          Fig. 3. Dependence of the springback on the radius at the end of loading




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The influence of the ideal crystallographic orientations upon the thickness distribution
of the residual stresses is illustrated in Fig. 4. In particular, the radial stress is shown
in Fig. 4a and the circumferential stress in Fig. 4b at rCD H  60 . The figures speci-
fied reveal that the effect of anisotropy is most significant at the central part of the
specimen. The distribution of the residual stresses outside the central part of the spec-
imen is almost independent from the crystallographic orientation except for
{110}<001>.

                    a)                                                     b)




Fig. 4. Through thickness distribution of the radial (a) and circumferential (b) residual stresses
                            at rCD H  60 at the end of loading


5      Conclusions
The plane strain pure bending of materials textured has been investigated. It has been
stated that depending on the ideal crystallographic orientations the springback and the
distribution of the residual stresses change grossly. Note that the springback of the
textured metal sheet can be bigger ({110}<112>, {110}<001>) or smaller
({112}<111>) in comparison with the isotropic material.


Acknowledgements

The reported study was funded by RFBR according to the research project №16-38-
00495.




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References
 1. Backofen WA. Deformation Processing. Metall. Trans., 1973; 4: 2679-2699.
 2. Banabic D, Barlat F, Cazacu O, Kuwabara T. Advances in anisotropy and formability. In-
    ternational Journal of Material Forming, 2010; 3: 165-189.
 3. Engler O, Hirsch J. Texture control by thermomechanical processing of AA6xxx Al-Mg-Si
    sheet alloys for automotive applications - a review. Materials Science and Engineering A,
    2002; 336: 249-262.
 4. Tóth LS, Hirsch J., Van Houtte P. On the role of texture development in the forming limits
    of sheet metals. International Journal of Mechanical Sciences, 1996; 38: 1117-1126.
 5. Hutchinson WB, Oscarsson A, Karlsson A. Control of microstructure and earing behaviour
    in aluminium alloy AA 3004 hot bands. Materials Science and Technology, 1989; 5: 1118-
    1127.
 6. Andrianov AV, Kandalova EG, Aryshensky EV, Grechnikova AF. Influence of 3104 Al-
    loy microstructure on sheet performance in ironing aluminum beverage cans. Key Engi-
    neering Materials, 2016; 684: 398-405.
 7. Moses AJ. Electrical steels. Past, present and future developments. IEE Proceedings A:
    Physical Science. Measurement and Instrumentation. Management and Education. Re-
    views, 1990; 137: 233-245.
 8. Shirkoohi GH, Arikat MAM. Anisotropic properties of high permeability grain-oriented
    3.25% Si-Fe electrical steel. IEEE Transactions on Magnetics, 1994; 30: 928-930.
 9. Campbell FC. Manufacturing Technology for Aerospace Structural Materials. Oxford:
    Elsevier, 2006; 600 p.
10. Guo ZX. The Deformation and Processing of Structural Materials. Cambridge: Woodhead
    Publishing, 2005; 331 p.
11. Wagoner RH, Lim H, Lee M-G. Advances issues in springback. International Journal of
    Plasticity, 2013; 45: 3-20.
12. Hill R. The Mathematical Theory of Plasticity. Oxford: Clarendon Press, 1950; 366 p.
13. Alexandrov S, Hwang Y-M. The Bending Moment and Springback in Pure Bending of
    Anisotropic Sheets. Int. J. Solids Struct., 2009; 46(25-26): 4361-4368.
14. Erisov YA, Grechnikov FV, Surudin SV. Yield function of the orthotropic material con-
    sidering the crystallographic texture. Structural Engineering and Mechanics, 2016; 58(4):
    7-18.
15. Landolt-Bornstein. Numerical data and functional relationships in science and technology.
    New Series. Group III: Crystal and solid state physics. Volume 1: Elastic, piezoelectric,
    piezooptic and electrooptic constants of crystals. Berlin: Springer, 1966; 643 p.
16. Adamesku PA, Geld RA, Mityshov EA. Anisotropy of Physical Properties of Metals.
    Moscow: Mashinostroenie, 1985; 136 p. [in Russian]




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