DocumentCode
2836880
Title
STEP-NC based machining sequencing using Genetic Algorithm
Author
Shu, Qilin ; Gong, Guobin ; Wang, Jun
Author_Institution
Sch. of Mech. Eng., Shengyang Ligong Univ., Shengyang, China
fYear
2010
fDate
26-28 May 2010
Firstpage
1299
Lastpage
1304
Abstract
To realize true integration between design and manufacturing via sharing product information among CAD/CAM/CNC chain, a new and comprehensive data model for NC programming formalized as in ISO14649 has been published by the International Organization of Standardization. ISO 14649, which is usually named STEP-NC, describes an interface between CAM and CNC to support a direct use of computer-generated product data based on the STEP standards. In this paper, we propose an efficient heuristic to solve the problem of machining sequence by extracting the information from the given STEP-NC file in order to optimize the process plan of the part. The proposed heuristic is a Genetic Algorithm (GA) with a special chromosome structure and a special coding scheme is proposed in the algorithmic design. An example with the proposed algorithm indicates that it is practical and easy to use.
Keywords
CAD/CAM; ISO standards; computerised numerical control; design engineering; genetic algorithms; integrated manufacturing systems; machining; CAD-CAM-CNC chain; ISO 14649; International Organization of Standardization; NC programming; STEP standards; STEP-NC based machining sequencing; algorithmic design; coding scheme; computer-generated product data; genetic algorithm; product information; CADCAM; Computer aided manufacturing; Computer numerical control; Data models; Design automation; Genetic algorithms; ISO standards; Machining; Standardization; Virtual manufacturing; CNC; Genetic algorithm; ISO14649; Machining sequence; STEP-NC;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498177
Filename
5498177
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