1999
DOI: 10.1243/0954405991517100
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A prototype constraint-based system for the automation and optimization of machining processes

Abstract: This paper presents an intelligent design system that enables designers to consider at the early stages of the design process all issues associated with the product life cycle. The evaluation and optimization of machining processes are among the most important aspects of these issues, requiring the involvement of various types of information from the different aspects of the product life cycle. The representation of this information in efficient format is very important for carrying out different design tasks.… Show more

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Cited by 18 publications
(6 citation statements)
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“…A cost estimation model has been proposed in [58] for optimization of machining cost which includes material cost, tool cost and overhead and labour cost. In this proposed model, if the desired cost-effective results are not achieved, then the feedback is given to a designer for modifications.…”
Section: Machining Costmentioning
confidence: 99%
“…A cost estimation model has been proposed in [58] for optimization of machining cost which includes material cost, tool cost and overhead and labour cost. In this proposed model, if the desired cost-effective results are not achieved, then the feedback is given to a designer for modifications.…”
Section: Machining Costmentioning
confidence: 99%
“…Concurrent engineering tools have been successfully implemented in the mechanical [9] and electronic [10] design domains, but little progress has been made towards the use of this approach in electromechanical product design [11]. Recent attempts have been made by Gayretli et al [12] to address this area of engineering.…”
Section: Review Of Related Workmentioning
confidence: 99%
“…However, the design phase itself accounts for only 6% of the total product development cost [2][3][4][5]. Therefore, devoting greater effort during the design phase is a necessary step towards optimising product design.…”
Section: Introductionmentioning
confidence: 99%