Title: A feature-based approach to an integrated CAD/CAPP system in sheet metal blanking dies

Authors: Emad S. Abouel Nasr; H.M.A. Hussein; Adham E. Ragab; Ali K. Kamrani

Addresses: Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia; Faculty of Engineering, Department of Mechanical Engineering, Helwan University, Cairo 11792, Egypt ' Advanced Manufacturing Institute, King Saud University, Riyadh 11421, Saudi Arabia ' Industrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia ' Industrial Engineering department, College of Engineering, University of Houston, Houston, TX 77004, USA

Abstract: Computer-aided process planning (CAPP) is considered to be the bridge that links computer-aided design (CAD) and computer-aided manufacturing (CAM). This paper describes a new approach to introduce computer-aided process planning into sheet metal blanking dies industry. The proposed system consists of two modules which are the CAD module and CAPP module. The first module is capable of reading 2D drawings of sheet metal parts provided by AutoCAD software, extracting geometric data from the drawings, building a die geometry that would produce the sheet metal part, and producing solid models of each die component. The second module receives the 3D blanking die components in IGES format and applies an intelligent feature extraction methodology in order to extract their manufacturing characteristics and produce a machining plan for each component. The proposed system is limited to prismatic die components. Finally, a case study is presented for demonstration purposes.

Keywords: CAD; computer-aided design; CAPP; computer-aided process planning; blanking dies; feature recognition; prismatic parts; data extraction; IGES; initial graphics exchange specification; B-rep; sheet metal; feature extraction.

DOI: 10.1504/IJRAPIDM.2014.066008

International Journal of Rapid Manufacturing, 2014 Vol.4 No.2/3/4, pp.90 - 118

Received: 22 Feb 2014
Accepted: 02 Apr 2014
Published online: 30 Nov 2014 *

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