Paper Title:
An Optimization Method of the Heavy Machine Cutting Parameters
| Periodical | Advanced Materials Research (Volume 544) |
|---|---|
| Main Theme | Advances in Product Development and Reliability III |
| Edited by | L. Gao, W.D. Li, Y.X. Zhao and X.Y. Li |
| Pages | 38-43 |
| DOI | 10.4028/www.scientific.net/AMR.544.38 |
| Citation | Chao Deng et al., 2012, Advanced Materials Research, 544, 38 |
| Online since | June, 2012 |
| Authors | Chao Deng, Chao Ma, Yao Xiong, Yuan Hang Wang |
| Keywords | Cutting Parameters, Genetic Algorithm (GA), Optimization, Particle Swarm Optimization Algorithm (PSO) |
| Price | US$ 28,- |
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Abstract
This paper analyzes the machining process of CNC machine tools, and builds an optimization model of the machining process parameters based on the mechanical vibration and the operational research. The model mixed genetic algorithm and particle swarm optimization (PSO) is built. It proposes an optimization algorithm that has higher convergence precision and execute ability to solve engineering problem with nonlinear and multi-extremum. According to case study, it proves the correctness of the model and the efficiency and high-performance nature of the designed optimization algorithm. It also appears the efficiency to solve the common engineering problems by the intelligent optimization algorithms.
