Abstract
Sheet metal components are indispensable in a great variety of products from large to micro sizes due to the high strength to weight ratio and relative ease of forming them. Design of sheet metal forming dies, however, is complex and largely experience-based. This chapter presents an overview of applying artificial intelligence (AI) tools and techniques in designing and planning of sheet metal progressive dies. Human skills and expertise are still deemed necessary, although advanced AI tools have complemented the design process well.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cheok BT, Foong KY, Nee AYC (1996) An intelligent planning aid for the design of progressive dies. Proc Inst Mech Eng Part B: J Eng Manuf 210:25–35
Cheok BT, Foong KY, Nee AYC, Teng CH (1994) Some aspects of a knowledge-based approach for automating progressive metal stamping die design. Comput Ind 24:81–96
Cheok BT, Zhang YF, Leow LF (1997) A skeleton-retrieving approach for the recognition of punch shapes. Comput Ind 32(3):249–259
Ismail HS, Chen ST, Hon KKB (1996) Feature-based design of progressive press tools. Int J Machine Tools and Manuf 36(3):367–378
Jagirdar R, Jain VK, Batra JL, Dhande SG (1995) Feature recognition methodology for shearing operations for sheet metal components. Comp Integr Manuf 8(1):51–62
Jiang RD, Lauw BT, Nee AYC (2006) Insert design automation for progressive dies. Int J Adv Manuf Technol 28:279–285
Kashid S, Kumar S (2012) Application of artificial neural network to sheet metal work—a review. Am J Intel Syst 2(7):168–176
Kim JH, Kim C, Chang YJ (2006) Development of a process sequence determination technique by fuzzy set theory for an electric product with piercing and bending operations. Int J Adv Manuf Technol 31:450–464
Kumar S, Singh R (2007) An intelligent system for automatic modeling of progressive die. J Mater Process Technol 194:176–183
Lee IBH, Lim BS, Nee AYC (1993) Knowledge-based process planning system for the manufacture of progressive dies. Int J Prod Research 31(2):252–278
Li JY, Nee AYC, Cheok BT (2002) Integrating feature-based modeling and process planning. Int J Adv Manuf Technol 20:883–895
Moghaddam MJ, Soleymani MR, Farsi MA (2015) Sequence planning for stamping operations in progressive dies. J Intel Manuf 26:347–357
Naranje V, Kumar S (2010) AI Applications to metal stamping die design—a review. World Acad Sci Eng Technol 44:1526–1532
Ong SK, De Vin LJ, Nee AYC, Kals HJJ (1997) Fuzzy set theory applied to bending sequencing for sheet metal bending. J Mater Process Technol 79:29–37
Shah JJ, Mäntylä M (1995) Parametric and feature-based CAD/CAM: concepts, techniques, and applications. John Wiley & Sons, Inc
Tor SB, Britton GA, Zhang WY (2005) A knowledge-based blackboard framework for stamping process planning in progressive die design. Int J Adv Manuf Technol 26:774–783
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this chapter
Cite this chapter
Nee, A.Y.C. (2017). An Overview of Applications of Artificial Intelligence (AI) in Sheet Metal Work. In: Kumar, S., Hussein, H. (eds) AI Applications in Sheet Metal Forming. Topics in Mining, Metallurgy and Materials Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-2251-7_1
Download citation
DOI: https://doi.org/10.1007/978-981-10-2251-7_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2250-0
Online ISBN: 978-981-10-2251-7
eBook Packages: EngineeringEngineering (R0)