Intelligent Programming of CNC Turning Operations using Genetic Algorithm

CAD/CAM systems are nowadays tightly connected to ensure that CAD data can be used for optimal tool path determination and generation of CNC programs for machine tools. The aim of our research is the design of a computer-aided, intelligent and genetic algorithm(GA) based programming system for CNC c...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2006-06, Vol.17 (3), p.331-340
Main Authors: Balic, Joze, Kovacic, Miha, Vaupotic, Bostjan
Format: Article
Language:English
Subjects:
Algorithms
Alliances
Artificial intelligence
Automation
CAD
CAM
Case studies
Computer aided design
Computer aided manufacturing
Cutting tools
Data exchange
Genetic algorithms
Intelligence
Intelligent systems
Machine learning
Manufacturing
Neural networks
Numerical controls
Operations research
Production management
Skilled workers
Studies
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Summary:CAD/CAM systems are nowadays tightly connected to ensure that CAD data can be used for optimal tool path determination and generation of CNC programs for machine tools. The aim of our research is the design of a computer-aided, intelligent and genetic algorithm(GA) based programming system for CNC cutting tools selection, tool sequences planning and optimisation of cutting conditions. The first step is geometrical feature recognition and classification. On the basis of recognised features the module for GA-based determination of technological data determine cutting tools, cutting parameters (according to work piece material and cutting tool material) and detailed tool sequence planning. Material, which will be removed, is split into several cuts, each consisting of a number of basic tool movements. In the next step, GA operations such as reproduction, crossover and mutation are applied. The process of GA-based optimisation runs in cycles in which new generations of individuals are created with increased average fitness of a population. During the evaluation of calculated results (generated NC programmes) several rules and constraints like rapid and cutting tool movement, collision, clamping and minimum machining time, which represent the fitness function, were taken into account. A case study was made for the turning operation of a rotational part. The results show that the GA-based programming has a higher efficiency. The total machining time was reduced by 16%. The demand for a high skilled worker on CAD/CAM systems and CNC machine tools was also reduced. [PUBLICATION ABSTRACT]
ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-005-0001-1