AI Applications in Sheet Metal Forming pp 183-216 | Cite as
An Expert System for Automatic Design of Compound Dies
Abstract
The present chapter describes an expert system for automatic design of compound dies. The knowledge base of this system is constructed through coding of more than 1500 production rules of ‘IF-THEN’ variety in AutoLISP language. The system is structured in 22 modules. User interface is created using Visual Basic (VB) and AutoCAD software. The proposed system automates all major activities of design of compound die. The system finally generates the drawings (2-D and 3-D) of die components and die assembly of compound die automatically in the drawing editor of AutoCAD software. These drawings can be directly used for die manufacturing. The system can be implemented on a PC having VB and AutoCAD software and therefore its low cost of implementation makes it affordable for small scale enterprises.
Keywords
Expert system Compound die Automatic design Knowledge base Production rulesNotes
Acknowledgments
Authors thank all domain experts for providing expertise in the development of proposed expert system. Authors also acknowledge the sanction of the project on “Automation of design of compound dies for sheet metal industries” (File No. SB/S3/MMER/0061/2013) by the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India, New Delhi, India.
References
- Adachi M, Inoue K, Funayama T (1983) Integrated CAD system for progressive dies. Fujitsu Sci Tech J 19(2):133–148Google Scholar
- Altan T (1987) Design and manufacture of dies and molds. Ann CIRP 36:455–462CrossRefGoogle Scholar
- Ann BNK, Kai CC (1994) A knowledge-based system for strip layout design. Comput Ind 25:31–44CrossRefGoogle Scholar
- Cheok BT, Nee AYC (1998a) Configuration of progressive dies. Artif Intell Eng Des Anal Manuf 12:405–418CrossRefGoogle Scholar
- Cheok BT, Nee AYC (1998b) Trends and developments in the automation of design and manufacture of tools for metal stampings. J Mater Process Technol 75:240–252CrossRefGoogle Scholar
- Choi JC, Kim C, Choi Y, Kim JH, Park JH (2000) An integrated design system for deep drawing or blanking products. Int J Adv Manuf Technol 16(11):803–813CrossRefGoogle Scholar
- Choi TH, Choi S, Naa KH, Baeb HS, Chung WJ (2002) Application of intelligent design support system for multi-step deep drawing process. J Mater Process Technol 20:76–88CrossRefGoogle Scholar
- Choudhary S, Allada V (1999) Integrated manufacturing System for precision Press Tooling. Int J Adv Manuf Technol 15:356–365CrossRefGoogle Scholar
- Emad A, Kamrani A (2006) IGES standard protocol for feature recognition CAD system. Rapid Prototyping Theor Pract, Chap. 2:25–38Google Scholar
- Esche S, Khamitkar S, Kinzel G, Altan T (1996) Process and die design for multistep forming of round parts from sheet metal. J Mater Process Technol 25:24–33CrossRefGoogle Scholar
- Fang XD, Tolouei-Rad M (1994) Rule Based Deep Drawing Process Planning for Complex Circular Shells. Eng Appl Artif Intell 20:395–405CrossRefGoogle Scholar
- Garzotto F, Paolini P (1989) Expert dictionaries: knowledge based tools for explanation and maintenance of complex application environments. In: Proceedings 2nd ACM-sigart international conference on industrial and engineering applications of artificial intelligence and expert systems, Tullahoma USA, ACM Press, pp 126–134Google Scholar
- Giannakakis T, George-Christopher V (2008) Sheet metal cutting and piercing operations planning and tools configuration by an expert system. Int J Adv Manuf Technol 36:658–670CrossRefGoogle Scholar
- Hoffmann M, Geifiler U, Geiger M (1992) Computer-aided generation of bending sequences for die-bending machines. J Mater Process Technol 30:1–12CrossRefGoogle Scholar
- Hussein HMA (2007) Expert system for sheet metal dies—CAD and CAM. PhD Thesis, Faculty of Engineering, Helwan University, Helwan, EgyptGoogle Scholar
- Hussein HMA (2014) Computer aided blanking die design using CATIA. Procedia CIRP 18:96–101CrossRefGoogle Scholar
- Hussein HMA, Kumar S (2008) A computerized retrieval system for sheet metal parts. Asian Int J Sci Technol Prod Manuf 1(2):31–40Google Scholar
- Hussein HMA, Emad A, Khan A (2013) Automated feature extraction from cylindrical parts based on STEP. In: Sustainable intelligent manufacturing international conference, SIM2013, At Leiria, Lisbon, PortugalGoogle Scholar
- Ismail N, Bakar N, Juri A (2005) Recognition of cylindrical and conical features using edge boundary classification. Int J Mach Tools Manuf 45:649–655CrossRefGoogle Scholar
- Jayaraman V, Srivastava R (1996) Expert System in Production and Operations Management. Int J Oper Prod Manage 16(12):27–44CrossRefGoogle Scholar
- Kang SS, Park DH (2002) Application of computer-aided process planning system for non-axisymmetric deep drawing products. J Mater Proc Technol 124:36–48CrossRefGoogle Scholar
- Kashid S, Kumar S (2012) A review on applications of expert system to die design. J Manuf Eng 7(4):208–214Google Scholar
- Kashid S, Kumar S (2014a) CDPUN: An expert system for selection of compound die punches. J Adv Manuf Syst 9(1):16–21Google Scholar
- Kashid S, Kumar S (2014b) An expert system for selection of components of compound die. J Adv Manuf Syst 13(3):181–195CrossRefGoogle Scholar
- Kashid S, Kumar S, Hussein HMA (2015) Selection, modeling and prediction of life of stripper of compound die. Key Eng Mater 639:501–508CrossRefGoogle Scholar
- Kashid S, Kumar S (2016) CAD system for automatic modelling of compound dies. Adv Mater Proc Technol. doi: 10.1080/2374068X.2015.1116228 Google Scholar
- Kim JH, Kim C, Choi JC (2001) A study on the development of computer aided die design system for lead frame of semiconductor chip. Int J Korean Soc Precis Eng 2:38–47Google Scholar
- Kim TS, Lee SN, Lim SK, Lee SS (2006) Development of an expert system for the draw die design in automotive industry. In: Proceedings of the 10th international conference on computer supported cooperative work in design, pp 1–6Google Scholar
- Kim T, Lim S, Lee S (1998) A development of expert design system for DRAW DIE in automotive industry. Globalization of manufacturing in the digital communications era of the 21st century, IFIP. Int Fed Inf Proc 4:843–855Google Scholar
- Kumar S (2006) A contribution to the development of knowledge based system for intelligent design of progressive dies. PhD Thesis, Maharshi Dyanand University, Rohtak, IndiaGoogle Scholar
- Kumar S, Singh R (2007a) Knowledge-based system for selection of progressive die components. Journal Achievements Mater Manuf Eng 20:475–479Google Scholar
- Kumar S, Singh R (2007b) A short note on an intelligent system for selection of materials for progressive die components. J Mater Process Technol 182:456–461CrossRefGoogle Scholar
- Kumar S, Singh R (2011) An Automated Design System for Progressive Die. Expert Syst Appl 38:4482–4489CrossRefGoogle Scholar
- Kumar S, Singh R, Sekhon GS (2006) CCKBS: A part check knowledge base system for accessing manufacturability of sheet metal parts. J Mater Process Technol 172(1):64–69CrossRefGoogle Scholar
- Kumar S, Singh R, Sekhon GS (2008) An expert system for design of blanking dies for sheet metal operations. In: Proceedings of the world congress on engineering and computer science, San Francisco, USAGoogle Scholar
- Lee S, Kim T, Lee S, Park K (2006) Development of an expert system for the trim die design in automotive industry. In: Conference: proceedings of the 10th international conference on CSCW in design. doi: 10.1109/CSCWD.2006.253168
- Lin BR, Huang KM, Su KY, Hsu CY (2013) Development of an automated structural design system for progressive dies. Int J Adv Manuf Technol 68(5–8):1887–1899CrossRefGoogle Scholar
- Lin BT, Kuo CC (2008) Application of an integrated CAD/CAM/CAE system for stamping dies for automobiles. Int J Adv Manuf Technol 35(9–10):1000–1013CrossRefGoogle Scholar
- Lin BT, Kuo CC (2011) Application of the fuzzy based taguchi method for the structural design of drawing dies. Int J Adv Manuf Technol 55:83–93CrossRefGoogle Scholar
- Lin Z, Peing G (1994) An investigation of expert system for sheet metal bending design. J Mater Proc Technol 43:165–176CrossRefGoogle Scholar
- Liu Z, Li J, Wang J, Li C, Xiao X (2003) Automatically extracting sheet-metal features from solid model. J Zhejiang Univ Sci 5:1456–1465CrossRefGoogle Scholar
- Molcho G, Schneor R, Zipori Y, Kowalsi P, Denkena B, Shpitalni M (2008) Computer aided manufacturability analysis closing the CAD-CAM knowledge gap. In: Proceeding, 9th biennial conference on engineering systems design and analysis, Haifa, Israel, pp 309–315Google Scholar
- Nakahara S, Toshio K, Tamura K, Asuke F, Soda C, Nakamura T (1978) Computer aided progressive die design. In: Proceedings of the 19th machine tool design research conference, London, pp 171–176Google Scholar
- Naranje V, Kumar S (2011) A knowledge based system for manufacturability assessment of deep drawn sheet metal parts. J Key Eng Mater 473:749–756CrossRefGoogle Scholar
- Naranje V, Kumar S (2012) Knowledge Based System for Selection of Parts of Deep Drawing Die. Am J Intell Syst 2(2):1–11CrossRefGoogle Scholar
- Naranje V, Kumar S (2014) Knowledge based system for automated design of deep drawing die for axisymmetric parts. Expert Syst Appl 41:1419–1431CrossRefGoogle Scholar
- Nee AYC (1994) Some aspects of knowledge based approach for automating progressive metal stamping die design. Comput Ind 24:55–70CrossRefGoogle Scholar
- Nee AYC, Foong KY (1992) Some considerations in the design and automatic staging of progressive dies. J Mater Process Technol 29:147–158CrossRefGoogle Scholar
- Neugebauer R, Werner M, Prohl M, Brunnett G, Kuhnert T (2015) New feature extraction and processing methods for the advanced knowledge based process planning of forming operations. Procedia CIRP 28:16–21CrossRefGoogle Scholar
- Panghal D, Kumar S (2013) a low cost knowledge based system framework for design of bending die. Key Eng Mater 549:284–291CrossRefGoogle Scholar
- Park S (1999) An expert system of progressive die design for electron gun grid parts. J Mater Process Technol 88:216–221CrossRefGoogle Scholar
- Park SB, Choi Y, Kim BM, Choi JC (1999) A CAD: CAM system for deep drawing dies in a simple action press. J Mater Process Technol 87:258–265CrossRefGoogle Scholar
- Peter J (1998) Introduction to Expert Systems. Ind. Addison-Wesley, USAGoogle Scholar
- Potocnik D, Ulbin M, Dolsak B (2012) Knowledge based system for supporting the design of a plate-press. J Comput Inf Sci Eng 12:1–5CrossRefGoogle Scholar
- Potocnik D, Ulbin M, Dolsak B (2013) GAJA 3-D CAD methodology for developing a parametric system for the automatic (re)modeling of the cutting components of compound washer dies. J Zhejiang Univ Sci A (Appl Phys Eng) 14(5):327–340Google Scholar
- Prasad YKDV, Somasundaram S (1992) CADDS: an automated die design system for sheet metal blanking. Comput Control Eng J 3:185–191CrossRefGoogle Scholar
- Rahamani K, Arezoo B (2007) A hybrid hint-based and graph-based framework for recognition of interacting milling features. Comput Ind 58(4):304–312CrossRefGoogle Scholar
- Rameshbabu V, Shunmugam M (2009) Hybrid feature recognition method for setup planning from STEP AP-203. Robotics and Computer-Integrated Manufacturing 25:393–408CrossRefGoogle Scholar
- Sing WM, Rao KP (1997) Knowledge-based process layout system for axisymmetrical deep drawing using decision tables. Comput Ind Eng 32:299–319CrossRefGoogle Scholar
- Singh R, Sekhon GS (1999) An expert system for optimal selection of a press for a sheet metal operation. J Mater Proc Technol 86:131–138CrossRefGoogle Scholar
- Su J, Ma Y (2012) A Study on CAD System for Bending Die Based on UG. Adv in Mech Elect Eng 176:409–414CrossRefGoogle Scholar
- Sunil V, Agarwal R, Pande S (2010) An approach to recognize interacting features from B-Rep CAD models of prismatic machined parts using a hybrid (graph and rule based) technique. Comput Ind 61:686–701CrossRefGoogle Scholar
- Sutt A, Küttner R, Pohlak M, Karjust K (2004) Development of the experimental integrated design environment for progressive cutting dies. In: 4th International DAAAM conference industrial engineering—innovation as competitive edge for SME, 29th–30th April 2004, Tallinn, Estonia, pp 155–158Google Scholar
- Tisza M (1995) Expert systems for metal forming. J Mater Process Technol 53(1–2):423–432CrossRefGoogle Scholar
- Tisza M (2007) Recent achievements in computer aided process planning and numerical modeling of sheet metal forming processes. J Achievements Mater Manuf Eng 24:435–442Google Scholar
- Wang D, Yan G, Lei Y, Zhang J (2012) A Retrieval Algorithm of Sheet Metal Parts Based on Relationships of Features. Chin J Aeronaut 25:453–472CrossRefGoogle Scholar
- Xiao X, Chen S, Wang G, Xiao J (1990) An expert system for process planning for drawing. Adv Plast Technol 23:545–549Google Scholar
- Yeh S, Kamran M, Terry Jules ME, Naji BO (1996) A Design advisor for sheet metal fabrication. IIE Trans (Inst Ind Eng) 28:1–10Google Scholar
- Zhou X, Qiu Y, Hua G, Wang H, Ruan X (2007) A feasible approach to the integration of CAD and CAPP. Comput Aided Des 39:324–338CrossRefGoogle Scholar