Investigation of Chained Process Quality for Product Design Using FEM and Experimental Verification

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    In this research, chained process simulation is to be investigated to solve the major problem of component distortion which is commonly occurred and cannot be neglected in fabrication process. Stamping-welding as coupled process is the main concern to be reassembled into simulation under consideration of property history transferred from previous process. The selected component geometry is rear arm as parts of automotive steering structure made of material SPH440 and STKM13A. The FEM simulation starts with the modeling of real components and executed based on actual hydraulic stamping followed by GMAW process parameters. In both simulation processes, nonlinear isotropic hardening model was used taken from existing software database of equivalent material properties. The experimental investigation is conducted for verification purpose. The conclusion can be drawn throughout the research that the specialized FEM software Simufact Forming and Simufact Welding had outstanding capability to predict final distortion for complex chained processes with complex geometry.

     

     


  • Keywords


    Chained Process; Distortion; Simulation; Stamping; Welding.

  • References


      [1] Dahia A, Muhd FM, Norridzwan N & Yupiter HPM (2018), “Parameters identification for weld quality, strength and fatigue life enhancement on HSLA (S460G2+M) using Manual GMAW followed by HFMI/PIT”, Journal of Mechanical Engineering, Vol. SI 5 (4), pp. 205 – 222.

      [2] Armansyah, Winda A & Juri S (2018), “Development of prediction system model for mechanical property in friction stir welding using support vector machine”, Journal of Mechanical Engineering, Vol. SI 5 (5), pp. 216 – 225.

      [3] Beddoes J (1999), “Metal processing and manufacturing,” pp. 1–17.

      [4] Mourtzis D, Doukas M and D. Bernidaki D (2014), “Simulation in manufacturing: Review and challenges,” Procedia CIRP, Vol. 25,no. C, pp. 213–229.

      [5] Schafstall H (2011), “Process Simulation of Closed profiles by chaining of forming and welding simulations, using Simufact.forming & Simufact.welding,”.

      [6] Ng A. H. C, Adolfsson J, Sundberg M and De Vin L. J (2008), “Virtual manufacturing for press line monitoring and diagnostics,” Int. J. Mach. Tools Manuf., vol. 48, no. 5, pp. 565–575.

      [7] Schafstall H, Wohlmuth D. M and Barth C, “Newest developments in metal forming process simulations to meet future requirements,” pp. 1–19.

      [8] Harter I. I, De Souza J. H. C, Buijk A and Pursell Z (2013), “Study on the determination of optimal parameters for the simulation of the forming process of thick sheets”.

      [9] Long H, Gery D, Carlier A and Maropoulos P. G (2009), “Prediction of welding distortion in butt joint of thin plates”, Mater. Des.,Vol. 30, no. 10, pp. 4126–4135.

      [10] Deng D and Murakawa H (2008), “Prediction of welding distortion and residual stress in a thin plate butt-welded joint,” Comput. Mater. Sci., Vol. 43, no. 2, pp. 353–365.

      [11] J. Bradáč J (2013), “Calibration of heat source model in numerical simulations of fusion welding”, Mach. Technol. Mater., no. 11, pp.9–12.

      [12] Hashemzadeh M, Chen B. Q and Guedes Soares C (2014), “Comparison between different heat sources types in thin-plate welding simulation”, Dev. Marit. Transp. Exploit. Sea Resour. - Proc. IMAM 2013, 15th Int. Congr. Int. Marit. Assoc. Mediterr., Vol. 1, no. 2004, pp. 329–335.

      Iacobescu G (2006) “A theoretical model for welding process with Gaussian heat source - Part. 1”, UPB Sci. Bull. Ser. D Mech. Eng., Vol. 68, no. 4, pp. 45–50.

 

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Article ID: 29380
 
DOI: 10.14419/ijet.v7i4.36.29380




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