Volume 15, Issue 10 (2015)                   Modares Mechanical Engineering 2015, 15(10): 311-319 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Manafi D, Nategh M J. Investigation of Geometrical Rules and Introducing a Method Based on Permutation for Sequencing of Machining Features for Prismatic Parts. Modares Mechanical Engineering. 2015; 15 (10) :311-319
URL: http://journals.modares.ac.ir/article-15-9061-en.html
1- Assoc. Prof, Mechanical Engineering Department, Faculty of Engineering, Tarbiat Modares University
Abstract:   (1941 Views)
Computer-aided process planning (CAPP) is a bridge for integrating computer-aided design (CAD) and computer-aided manufacturing (CAM). One of the basic computer-aided process planning tasks is sequencing of machining features. Sequencing of machining features is determined based on technical and geometrical rules. In this paper, the technical rules, geometrical rules and sequencing of machining features method were discussed. At first, some of the technical rules were pointed. Then, the geometrical interactions were studied and two new geometrical rules were introduced for sequencing the machining features having geometrical interaction. These rules can yield unique results and they are identified easily by the computer systems. Also, an algorithm was introduced for automated application of these geometrical rules in computer systems. The conflict between the technical and geometrical rules that may occur in some cases was studied. This conflict must be considered in the sequencing of machining features methods. Finally, an algorithm was introduced for sequencing of machining features based on permutation. In this algorithm the technical and geometric rules were applied separately and step by step. If there is any conflict between technical and geometrical rules, this conflict could detect automatically in this algorithm. Algorithms were programmed and verified in PythonOCC.
Full-Text [PDF 758 kb]   (1074 Downloads)    
Article Type: Research Article | Subject: Automation
Received: 2015/05/10 | Accepted: 2015/08/6 | Published: 2015/09/22

Add your comments about this article : Your username or Email:
CAPTCHA