Optimization Problem Research for Machining Accuracy and Cost of CNC Lathe Based on Adaptive Particle Swarm Optimization

Abstract:

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Based on CNC lathe product’s technical and economic properties demand for manufacturing industry of CNC equipment, this thesis studied the mutual relationship of machining accuracy and cost. According to adaptive particle swarm optimization, a optimization model of the two parts was established. The case of a CNC lathe shows that the optimization model has the advantages of rapid searching, high accuracy, effective and provides a new way for the machining accuracy and cost optimization.

Info:

Periodical:

Advanced Materials Research (Volumes 605-607)

Edited by:

Pengcheng Wang, Xiangdong Liu and Yongquan Han

Pages:

1448-1452

DOI:

10.4028/www.scientific.net/AMR.605-607.1448

Citation:

W. W. Liu and Y. Zheng, "Optimization Problem Research for Machining Accuracy and Cost of CNC Lathe Based on Adaptive Particle Swarm Optimization", Advanced Materials Research, Vols. 605-607, pp. 1448-1452, 2013

Online since:

December 2012

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Price:

$35.00

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