Skip to main content

Part of the book series: Engineering Materials and Processes ((EMP))

  • 941 Accesses

Abstract

In the current metal-forming product design and development paradigm, product cost, time-to-market, and product quality are three overriding issues, which determine the competitiveness of the developed products. In up-front design process, the first 20 % of design activities commits to more than 75 % of product development cost and product quality issues. How to conduct “design right the first time” is critical to ensure low product development cost, high product quality, and short time-to-market. To address these issues, state-of-the-art technologies are needed to support design solution generation, evaluation, and optimization in metal-forming product design and development. Traditionally, computer-aided design (CAD) and computer-aided manufacturing (CAM) technologies provide approaches for representation and realization of design solutions physically [1]. However, how to generate design solution and conduct design solution evaluation and optimization is a non-trivial issue. In metal-forming product design and development, it is difficult to simultaneously address the design issues related to metal-formed part design, forming process determination, process parameter configuration, tooling structure design, material selection, prediction of the properties of deformed part, and finally the product quality control and assurance. In addition, how to reveal, assess, and evaluate the interaction and interplay of different design variables or factors in the above-mentioned different stages and areas is another critical issue. Computer-aided engineering (CAE) technology fills this gap as it helps practitioners generate, evaluate, and optimize design solutions before the best design solution is feasibly and uniquely identified and practically and physically implemented. In the current metal-forming product development paradigm, CAE simulation technology is one of the state-of-the-art technologies, which has been widely used in addressing the above-mentioned technical issues and will be used to solve the emerging bottleneck problems in the next upward trend of technology and product development.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fuh JYH, Zhang YF, Nee AYC, Fu MW (2004) Computer-aided injection mould design and manufacture. Marcel Dekker Inc, New York

    Google Scholar 

  2. Kobayashi S, Oh SI, Altan T (1989) Metal forming and the finite-element method. Oxford University Press, Oxford

    Google Scholar 

  3. Bariani PF, Negro TD, Bruschi S (2004) Testing and modeling of material response to deformation in bulk metal forming. Ann CIRP 53(2)

    Google Scholar 

  4. Fu MW, Yong MS, Tong KK, Muramatsu T (2006) A methodology for evaluation of metal forming system design and performance via CAE simulation. Int J Prod Res 44:1075–1092

    Article  Google Scholar 

  5. Tong KK, Yong MS, Fu MW, Muramatsu T, Goh CS, Zhang SX (2005) A CAE enabled methodology for die fatigue life analysis and improvement. Int J Prod Res 43:131–146

    Article  Google Scholar 

  6. Fu MW, Yong MS, Muramatsu T (2008) Die fatigue life design and assessment via CAE simulation. Int J Adv Manuf Technol 35:843–851

    Article  Google Scholar 

  7. Fu MW, Yong MS, Tong KK, Danno A (2008) Design solution evaluation for metal forming product development. Int J Adv Manuf Technol 38(3–4):249–257

    Article  Google Scholar 

  8. Lange K, Cser L, Geiger M, Kals JAG (1992) Tool life and tool quality in bulk metal forming. Ann CIRP 41(2):667–675

    Article  Google Scholar 

  9. Jirathearanat S, Hartl C, Altan T (2004) Hydroforming of Y-shapes—product and process design using FEA simulation and experiments. J Mat Proc Tech 146(1):124–129

    Article  Google Scholar 

  10. Geiger M, Merklein M, Kerausch M (2004) Finite element simulation of deep drawing of tailored heat treated blanks. CIRP Ann 53(2):223–226

    Article  Google Scholar 

  11. Petty DM (1996) Application of process modeling—an industrial view. J Mat Proc Tech 60:421–426

    Article  Google Scholar 

  12. Bariani PF, Bruschi S, Dal NT (2004) Integrating physical and numerical simulation techniques to design the hot forging process of stainless steel turbine blades. Int J Mach Tools Manuf 44(9):945–951

    Article  Google Scholar 

  13. Falk B, Engel U, Geiger M (1998) Estimation of tool life in bulk metal forming based on different failure concepts. J Mat Proc Tech 80–81:602–607

    Article  Google Scholar 

  14. Mungi MP, Rasane SD, Dixit PM (2003) Residual stresses in cold axisymmetric forging. J Mat Proc Tech 142:256–266

    Article  Google Scholar 

  15. MacCormack C, Monagham J (2001) Failure analysis of cold forging dies using FEA. J Mat Proc Tech 117:209–215

    Article  Google Scholar 

  16. Fu MW, Luo ZJ (1992) The prediction of macro-defects during the isothermal forging process by the rigid-viscoplastic finite-element method. J Mat Proc Tech 32:99–608

    Article  Google Scholar 

  17. Fu MW, Luo ZJ (1995) The simulation of the visco-plastic forming process by the finite-element method. J Mat Proc Tech 55:442–447

    Article  Google Scholar 

  18. Scientific forming Technologies Corporation (2014) DEFORMTM 3D manual, Version 8.11

    Google Scholar 

  19. Cho H, Ngaile G, Altan T (2003) Simultaneous determination of flow stress and interface friction by finite element based inverse analysis technique. Ann CIRP 52:221–224

    Article  Google Scholar 

  20. Mamalis AG, Johnson W (1987) Defects in the processing of metals and composites. In: Predeleanu M (ed) Computational methods for predicting material processing defects. Elsevier, Amsterdam

    Google Scholar 

  21. Gelin JC, Oudin J, Ravalard Y (1985) An improved finite element method for the analysis of damage and ductile fracture in cold forming processes. Ann CIRP 34:209–212

    Article  Google Scholar 

  22. Reddy NV, Dixit PM, Lal GK (1996) Central bursting and optimal die profile for axisymmetric extrusion. ASME J Manuf Sci Eng 118:579–584

    Article  Google Scholar 

  23. Clift SE, Hartley P, Sturgess CEN, Rowe GW (1990) Fracture prediction in plastic deformation processes. Int J Mech Sci 32:1–17

    Article  Google Scholar 

  24. Reddy NV, Dixit PM, Lal GK (2000) Ductile fracture criteria and its prediction in axisymmetric drawing. Int J Mach Tools Manuf 40:95–111

    Article  Google Scholar 

  25. Gouveia BPPA, Rodrigues JMC, Martins PAF (1996) Fracture predicting in bulk metal forming. Int J Mech Sci 38:361–372

    Article  Google Scholar 

  26. Gupta S, Reddy NV, Dixit PM (2003) Ductile fracture prediction in axisymmetric upsetting using continuum damage mechanics. J Mater Process Technol 141:256–265

    Article  Google Scholar 

  27. Ran JQ, Fu MW (2014) A hybrid model for analysis of ductile fracture in micro-scaled plastic deformation of multiphase alloys. Int J Plast 61:1–16

    Article  Google Scholar 

  28. Li H, Fu MW, Lu J, Yang H (2011) Ductile fracture: experiments and computations. Int J Plast 27:147–180

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ming Wang Fu .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Fu, M.W. (2017). Evaluation of Forming System Design. In: Design and Development of Metal-Forming Processes and Products Aided by Finite Element Simulation. Engineering Materials and Processes. Springer, Cham. https://doi.org/10.1007/978-3-319-46464-0_3

Download citation

Publish with us

Policies and ethics