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Abstract: In ultra-precision turning process, the modeling of surface
roughness and the optimization of cutting parameters are the key factors
to improve the quality of products and rise the efficiency of equipment.
The accurate prediction of surface roughness and optimal cutting
parameters are urgently required with the progress in ultra-precision
manufacturing. To meet the requirement, the application of genetic
algorithm for the surface roughness prediction model and cutting
parameters optimization in ultra-precision turning is proposed by a
practical example. Mathematics model is introduced and optimal results
are given. The prediction model and optimal cutting parameters using
genetic algorithm are compared with least square method and traditional
optimal results. Comparison shows that genetic algorithm is more
suitable than traditional optimal methods in terms of modeling and
guaranteeing prediction accuracy and cutting parameters optimization.
Key words: Genetic algorithm optimization Surface roughness
prediction model Cutting parameters Ultra-precision turning
CLC No: TH16
TG501
国家科学预研基金资助项目(18.2.1.1).
Received 20041110, received in revised form 20050415
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