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Finite Element Analysis and Optimization of Automotive Seat Floor Mounting Bracket in Metal Forming Using LS-DYNA
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Finite Element Analysis and Optimization of Automotive Seat Floor Mounting Bracket in Metal Forming Using LS-DYNA
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1996 Finite Element Analysis and Optimization of Automotive Seat Floor Mounting Bracket in Metal Forming Using LS-DYNA Mayur Mane1, Dr. Somnath Kadhane2 1ME Design Engineering Student at SVPM’s College of Engineering Malegaon, Maharashtra, India 2Associate Professor, Mechanical Dept. of SVPM’s College of Engineering, Malegaon, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In this research, variables such as blank holder force, friction coefficient and die shoulder radius in sheet forming process of automotive seat floor mounting bracket were discussed together with itsformability. Defectsoccurring during the forming process are emphasized using CAE tool explicit dynamic software LS-DYNA. The solutions to such defect problems will also be given along with various methods used for the analysis and optimization for defect free process are explained. Key Words: Automotive seat floor mounting bracket, Metal forming, CAE, LS-DYNA 1. INTRODUCTION Sheet metal forming (SMF) is a process where pieces of sheet metal are modified to its geometry rather than removing any material. In sheet metal forming process where a material, knows as the blank isformed bystretching it between a punch and a die. Fig -1: Sheet metal forming [2] 1.1 Automotive Seat Floor Mounting Bracket Seat floor mounting bracket is used to mount the seating system in the vehicle as shown in figure 2. These brackets support to the seating system and hold the seat rigidly in place and also prevent it from shifting around. Automotive seat floor mounting bracket has a complex shape. The forming process of the automobile parts generally include drawing, trimming, stamping, shaping, flanging, and other processes. In case of seat floor mounting bracket, it has to go through two processes namely deep drawingandstretching. In order to get qualified forming of automotive seat floor mounting bracket to meet Customer requirements, multiple modifying and repeated debugging are required for forming die, forming process, technological parameters,andsoforth, while “trial and error” method is used in the traditional way for repeated testing, which not only require a longer production cycle, but also require high production costs. With the continuous development of numerical analysis technology, plasticformingtheory,stampingtechnology,and computer technology, CAE (computer aided engineering) technology is gradually applied in forming process and die design process for automotivesheetmetal parts;CAErelated software are more and more widely used in die debugging process. The formability and possible defects of parts can be analyzed through the simulation, which provide the reliable basis for die debugging, so that it can reduce the die manufacturing problems, shorten the productioncycle,save production costs, and offer more economic benefits for enterprises. Fig -2: Frame of a car seat Seat Floor Mounting Bracket
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1997 Fig -3: Flowchart of the process simulation 2. DESIGN OF BIW COMPONENT Seat floor mounting bracket is the bracket used for mounting purpose of the seating system in the vehicle. Whole seat assembly is mounted on this seat floor mounting bracket. Figure 4 shows the isometric view of automotive seat floor mounting bracket. Fig -4: Isometric view of seat floor mounting bracket Table -1: Material properties of DQSK steel Density (ρ) 7.9× Kg/ Young’s Modulus (E) 207000 Mpa Poisson’s Ratio (µ) 0.3 Yield Strength ) 179 Mpa Anisotropic Hardening Parameter (R) 1.63 Here, anisotropic hardening parameter (R) is alsocalledasa Lankford’s coefficient or plastic strain ratio. It is the ratio of true width strain to the true thickness strain at a particular value of length strain. R= = It defines the ability of metal to deform in the thickness direction relative to the deformation in the plane of the sheet. When R value is greater than 1, sheet metal resist thinning and if R value is less than 1, thinning becomes the preferential metal flow direction which increases the risk of failure in forming operation. 3. FINITE ELEMENT MODELING OF AUTOMOTIVE SEAT FLOOR MOUNTING BRACKET 3.1 Punch and Die Separation from the Component Fig -5: Offsetting punch and die from component We have a 3D model of seat floor mounting bracket. For the purpose of forming it is necessary to have the forming tools that is Punch and die. So, we need to offset punch and die from the component. To offset punchanddiefromthe 3D model of seat floor mounting bracket we used LS-PrePost software. Figure 5 shows the punch and die model. Punch Die
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1998 3.2 Meshing of Model The punch and die model which we separated from the component is imported in the Altair Hypermesh software and meshed the model with element size 1 mm. Meshing is done carefully that the critical corners and the small radii must be captured by the elements. That is one of the reason to keep element size 1 mm. Meshed model of punch and die is shown in figure 6. Fig -6: Meshed model of punch and die in Hypermesh 3.3 Blank Size Estimate and Blank Meshing Producing metal parts is an intricate process and companies must find ways to reduce production costs whenever possible. Choosing the right blank size and shape can help reduce the amount of energy needed to manufacture a part and lower the waste produced. Here we used the LS-PrePost software to estimate the blank size. We imported 3D model of the component in LS- PrePost software and then extracted the mid-surface. The extracted mid-surface is then meshed using auto-mesher command. This meshed surface of the component is then unfolded using command in the metal forming tab insidethe LS-PrePost software. Figure 7 shows the developed blank in LS-PrePost software (All dimensions are in mm). This estimated blank model is then meshed using blank mesher command in LS-PrePost software. Meshed blank model is shown in figure 8. Fig -7: Developed blank in LS-PrePost software Fig -8: Meshed blank 3.4 Establishment of Simulation Analysis Model To establish model we followed the following steps: 1. Importing the meshed punch and die model shown in the figure 6 in LS-PrePost. 2. Importing blank model shown in figure 8 in LS- PrePost software. 3. Separating blank holder from the blank. Fig -9: The FE model of automotive seat floor mounting bracket Punch Blank Holder Blank Die
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 1999 4. SIMULATION AND ANALYSIS To run the simulation we have to give the appropriate material model and boundary conditions to the model. 4.1 Material Model Table -2: Material model details Sr. No. Material Name Material Type 1. MAT_TRANSVERSELY_A NISOTROPIC_ELASTIC_P LASTIC MAT_37 2. MAT_RIGID MAT_20 4.2 Contact We have used CONTACT_FORMING_SURFACE_TO_SURFACE keyword to define contact. The contact is penalty based contact. It is necessary to define threedifferentkeywordsfor implementing the expected three contacts are “Blank- Punch”, “Blank-Die”, “Blank-Blank Holder”. 4.3 Punch Motion In our simulation, die and blank holder remains stationary and punch is the one that moves. Punch movement was imposed using the keyword BOUNDARY_PRESCRIBED_MOTION_RIGID. Here punch has to travel a distance of 52.13 mm downward to complete the forming operation. The punch motion is defined using DEFINE_CURVE keyword. Terminationtimeoftheprocessis 5 seconds. 4.4 Load Rigid Body To give blank holder force weuseLOAD_RIGID_BODYcardin LS-PrePost software. In our model load is in the z direction. 4.5 Control and Database Cards We have to define some control and database cards such as CONTROL_ACCURACY, define control parameter that can improve the accuracy of the calculation. CONTROL_SHELL, since the mesh is of shell elements it allows defining the theory describing shell behavior or how thickness changes have to be simulated. CONTROL_TERMINATION, it plays an important role because it establisheswhensolverhastostop calculations. The field ENDTIM is used to setthetermination time. IMPLICIT_AUTO, IMPLICIT_GENERAL, these control cards are used to initiate the implicit analysis of problem. CONTROL_HOURGLASS, which prevents that in the simulation verifies “hourglassing”, i.e. anomalous deformations of the elements constituting the mesh. CONTROL_ADAPTIVE,thisimportantkeywordusedtorefine the mesh where computed quantities show wide changes in their values. We applied adaptive mesh refinements to the blank. DATABASE_ASCII_OPTION, this simplifies the type of database. LS-DYNA will not create an ASCII database unless the corresponding DATABASE_ASCII_OPTION card is included in the input deck. DATABASE_BINARY_D3PLOT, this keyword contains the information about thickness or stressesoneachshell element.DATABASE_EXTENT_BINARY, this keyword control to some extent the content of binary output databases d3plot, d3thdt and d3part. 5. OPTIMIZATION Orthogonal experimental design method is used to study multiple factors level. During the sheet metal forming process the process parameters mainly affects the forming performance are BHF, die shoulder radius and friction coefficient. In our process orthogonal experimental factors were designed for the BHF and friction coefficient. Mainly, thinning and wrinkling are the major defects in the sheet metal forming process. So, the maximum thinning rate and maximum thickening rate are evaluation index as thinning rate gives us the failure of sheet because of cracks and thickening rate gives us the idea of wrinkling. After doing many runs we take die shoulder radius as 3 mm for all simulation runs. We didn’t include die shoulderradiusinthe orthogonal array. Maximum thinning rate, Δ = max ( ), Maximum thickening rate, Δ = max ( ), Where = Thickness of the sheet before forming = Thickness of unit i of sheet metal after forming In order to ensure the product strength, maximum thinning rate should be as small as possible. Also, to avoid wrinkling in the final product, maximum thickening rate should be small. The parameters and their levels are shown in table 3. Combination schemes of orthogonal experiment process parameters were designed by using orthogonal array ( ) as shown in table 4.
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2000 Table -3: Factors and levels of orthogonal experiment Factors Experiment No. A BHF (N) B Friction Coefficient 1. 5000 0.10 2. 6000 0.12 Table -4: Scheme of orthogonal experiments Factors Experiment No. A BHF (N) B Friction Coefficient 1. 5000 0.10 2. 5000 0.12 3. 6000 0.10 4. 6000 0.12 5.1 Result and Analysis of orthogonal Experiment The simulation results of process parameters schemes through the orthogonal experimental design corresponding to maximum thinning rate and maximum thickening rate were shown in table 5. In automotive seat floor mounting brackethigherthinning exist during forming process. The areas where higher thinning exist have the greater risk of cracking. For maximum thinning rate smaller the better, and smaller the value is there is less risk of cracking. Table 6 shows the response for signal to noise ratios for thinning. In automotive seat floor mounting bracket higher thickening also exist during forming process. The areas where higher thickening exist have the greater risk of wrinkling. For maximum thickening rate smaller the better, and smaller the value is there is less risk of wrinkling. Table 7 shows the response for signal to noise ratios for thickening. Table -5: Thickness reduction and thickening data obtained by orthogonal experiments Factors Evaluation Index Experime nt No. A BHF (N) B Friction Coefficient Maximum Thinning Rate % Maximum Thickening Rate % 1. 5000 0.10 39.33 16.53 2. 5000 0.12 39.46 16.60 3. 6000 0.10 39.38 16.75 4. 6000 0.12 39.36 16.64 Table -6: Response table for signal to noise ratios for thinning Level Blank Holder Force Friction Coefficient 1 -31.91 -31.90 2 -31.90 -31.91 Delta 0.01 0.01 Rank 2 1 Table -7: Response table for signal to noise ratios for thickening Level Blank Holder Force Friction Coefficient 1 -24.38 -24.42 2 -24.45 -24.41 Delta 0.07 0.01 Rank 1 2 For the maximum thinning rate, friction coefficient is the highest influencing factor which can be changed by adding the lubricants and changing the surface roughness. BHF is the second influencingparameterandwhichcanbe modified by the adjusting the parametersofmechanical presses.Table 8 shows the ANOVA for SN ratios of thinning. Relationship between maximum thinning rateand experimental factorsis shown in chart 1. For the maximum thickening rate, BHF is the most influencing factor which can be modified by adjusting the mechanical presses. Friction coefficient has the very less contribution in the maximum thickening rate. Table9shows the ANOVA for SN ratios for thickening. Relationship between maximum thickening rateandexperimental factors is shown in chart 2. Table -8: ANOVA for SN ratios for thinning Source DOF Sum of Squares Mean Squares % Contribution Blank Holder Force 1 0.000030 0.000030 6.65 Friction Coefficient 1 0.000147 0.000147 32.59 Residual Error 1 0.000273 0.000273 Total 3 0.000451 39.24
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2001 Table -9: ANOVA for SN ratios for thickening Source DOF Sum of Squares Mean Squares % Contribution Blank Holder Force 1 0.004607 0.004607 66.59 Friction Coefficient 1 0.000105 0.000105 1.52 Residual Error 1 0.002206 0.002206 Total 3 0.006918 68.11 Chart -1: Relationship between maximum thinning rate and experimental factors Chart - 2: Relationship between maximum thickening rate and experimental factors So according to the optimization scheme, optimal combination of parameters for maximum thinning rate and maximum thickening rate are shown in the table 10. Table -10: Optimum combination of parameters Blank Holder Force Friction Coefficient 5000 N 0.10 6. RESULT AND DISCUSSION As we discussed orthogonal experiment scheme in table 4 their software simulation results are as follows: 6.1 Experiment No. 1 BHF = 5000 N Friction Coefficient = 0.10 Fig -10: Percentage thinning and thickening Fig -11: Thickness distribution in mm
7.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2002 Fig -12: Formability diagram 6.2 Experiment No. 2 BHF = 5000 N Friction Coefficient = 0.12 Fig -13: Percentage thinning and thickening Fig -14: Thickness distribution in mm Fig -15: Formability diagram 6.3 Experiment No. 3 BHF = 6000 N Friction Coefficient = 0.10 Fig -16: Percentage thinning and thickening Fig -17: Thickness distribution in mm
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2003 Fig -18: Formability diagram 6.2 Experiment No. 4 BHF = 6000 N Friction Coefficient = 0.12 Fig -19: Percentage thinning and thickening Fig -20: Thickness distribution in mm Fig -18: Formability diagram 6. CONCLUSION In order to study the influence of several process parameters which have great influence on the forming quality of automotive parts, this study adopted automotive seat floor mounting bracket as the research object. We studied the formability of automotive seat floor mounting bracket by using LS-Dyna software and influence of process parameters on the forming quality of material used for the automotive seat floor mounting bracket. We selected the BHF, die shoulder radius and friction coefficient with maximum thinning rate and maximum thickening rate as evaluation indexes, used orthogonal experiment method for simulation analysis on the effects of these three parameters, and carried on optimization. For optimization purpose we take BHF and friction coefficient as a process parameters. It can be obtained from the experiment that the impact of the two process parameters on the maximumthinningratefrom strong to weak is friction coefficient and BHF, while on the maximum thickening, the greatest impact is BHF, followed by the friction coefficient. The maximum thinning rate and maximum thickening rate could be effectively controlled through orthogonal experiment optimization, and the high quality forming parts can be obtained with less defects. Following are the conclusions from this study: 1. We predicted the formability and defects such as thinning and wrinkling. We came to know that friction coefficient is the highest influencing parameter on the rate of thinning with 32.59% contribution and blank holder force is the highest influencing parameteronthe rateofthickeningwith 66.59% contribution. 2. LS-Dyna software is good for setting up forming simulations. 3. A simulation software is more important for the company which wants to be a leading company in the forming domain.
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2004 ACKNOWLEDGEMENT I would like to thank my project Guide Dr. SomnathKadhane sir who helped and motivated me to work on this project. REFERENCES [1] Yudieski Bernal,Aguilar, José Roberto Marty, Delgado, Celestine Okoye- Nwoye, Edel Hernández Santana,Ediel Hernández Santana, “Control of critical parameters for square cup deep drawing of AISI 304 2. DDQ using genetic algorithm.” Ingeniería Mecánica, 2013, ISSN 1815-5944. [2] Abdulla Mohammad Gous Shaikh, Tippa Bhimasankara Rao, “Sheet Metal Forming Simulations for Heavy Commercial Vehicle Parts by LS-DYNA.” Global Journal of Researches in Engineering Automotive Engineering, 2013, Volume 13, Issue 1. [3] H.Arfa, R.Bahloul, H.BelHadjSalah, “Finite element modelling and experimental investigationofsinglepoint incremental forming process of aluminum sheets: influence of process parameters on punch force monitoring and on mechanical and geometrical quality of parts.” Springer-Verlag France 2012, Int. J Mater Form, DOI 10.1007/s12289-012-1101-z. [4] HOU Yin-, YU Zhong-qi, LI Shu-hui, “Galling Failure Analysis in Sheet Metal Forming Process.” Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg 2010, J. Shanghai Jiaotong Univ. (Sci.), 2010, 15(2): 245-249. [5] G. L. Damoulis, E. Gomes, G. F. Batalha, “New trends in sheet metal forming analysis and optimization through the use of optical measurement technology to control spring back.” Springer/ESAFORM 2009, Int. J Mater Form (2010) 3:29–39. [6] R. Aerens, P. Eyckens, A. Van Bael, J. R. Duflou, “Force prediction for single pointincremental formingdeduced from experimental and FEM observations.” Springer- Verlag London Limited 2009, Int. J Adv. Manuf. Technology. [7] Shiwen Wang, Weimin Zhuang,JianCao,JianguoLin, “An investigation of springback scatter in forming ultra-thin metal-sheet channel parts using crystal plasticity FE analysis.” Springer-Verlag London Limited 2009, Int. J Adv. Manuf. Technology, 2010, 47:845–852. [8] A. Haufe, K. Roll, P. Bogon, “SHEET METAL FORMING SIMULATION WITH ELASTIC TOOLS IN LS-DYNA.” Daimler AG, PK-PWT, D-71059 Sindelfingen, Germany, 2008. [9] J.F. Carvalho, P.S. Cruz, R.A.F. Valente, A. Andrade- Campos, “An Integrated Methodology for Parameter Identification and Shape Optimization in Metal Forming and Structural Applications.” Eng. Opt 2008 - International Conference on Engineering Optimization Rio de Janeiro, Brazil, 01 - 05 June 2008. [10] Simone Ferrero, Caterina Tribuzi, Fabio DiNatale, “SHEET METAL FORMING OPTIMIZATION USINGANSA AND LS-DYNA.” 6thBETACAEInternational Conference. [11] L.Venugopal, M.J. Davidson, N. Selvaraj,“Analysisoftube end forming process using Taguchi design of experiments.” Usak University Journal of Material Sciences 2, 2012, 137 – 145. [12] Vinod Laxman Hattalli, Shivashankar R. Srivatsa, “Sheet Metal Forming Processes – Recent Technological Advances.” International Conference on Advanced Materials and Applications, 2016, 2564–2574. [13] A. R. JOSHI, K. D. KOTHARI, Dr. R. L. JHALA, “Effects of Different Parameters On Deep Drawing Process: Review.” International Journal of Engineering Research & Technology, March 2013, Vol. 2, Issue 3, ISSN 2278- 0181. [14] H. Zein, M. El Sherbiny, M. Abd-Rabou, M. El shazly, “Thinning and spring back prediction of sheet metal in the deep drawing process.” 2013, Materials and Design 53, 797–808. [15] Guoying Ma, Binbing Huang, “Optimization of Process Parameters of Stamping Forming of the Automotive Lower Floor Board.” 2014. Journal of Applied Mathematics. [16] Dong-Hwan Park, Yun-Hak Tak, Hyuk-Hong Kwon, “Process Design of Automobile Seat Rail Lower Parts using Ultra-High Strength DP980 Steel.”2018, Journal of the Korean Society of Manufacturing ProcessEngineers, Vol. 17, No. 2, pp.160-167.
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