Cutting Parameter Optimization of Stability in Cylindrical Shell Based on Particle Swarm Algorithm

Dong Chen; Bin Lin; Zhi Lin Han; Yan Bin Zhang

doi:10.4028/www.scientific.net/AMR.662.670

Paper Titles

Lifting Chuck Design Based on Fuzzy Expert System
p.653

Characteristic Finite Strip Analysis of Sheet Materials on Multi-Intelligence Agents
p.657

The Simulation and Analysis of the Automobile Wheel Hub Strength Test Based on the Finite Element Method
p.661

The Production and Experience of Hot Charging Process of Concasting Billet
p.666

Cutting Parameter Optimization of Stability in Cylindrical Shell Based on Particle Swarm Algorithm
p.670

Self-Compensated Precision Hydrostatic Rotary Bearing
p.674

Optimum Design of the Support System of the SiC Primary Mirror with 1m Aperture
p.678

Isolation Effect Research about RFPS Seismic Isolating System on Bridges
p.683

Design of a Novel Blood Cell Analysis System Based on Capillary Centrifugation and Stratification Technology
p.688

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 662Cutting Parameter Optimization of Stability in...

Cutting Parameter Optimization of Stability in Cylindrical Shell Based on Particle Swarm Algorithm

Abstract:

For cylindrical shell, because of its structure characteristic (i.e. long and thin-walled), it has low stiffness, bad fabrication procedure. And it’s very easy to cause vibration in the cutting process, especially the type of regenerative vibration. So, it’s vital for the surface quality of work-piece and cutting stability to select cutting parameter reasonably. The paper proposed a dynamic optimization method, which aimed at maximization of material removal rate. This method could guarantee the maximum material removal rate under the condition of cutting stability based on Particle Swarm Algorithm (PSA). In the end, it verified the optimization results by the experiments.

You might also be interested in these eBooks

Nanotechnology and Precision Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 662)

Pages:

670-673

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.662.670

Citation:

Cite this paper

Online since:

February 2013

Authors:

Dong Chen, Bin Lin, Zhi Lin Han, Yan Bin Zhang

Keywords:

Cutting Stability, Cylindrical Shell, Parameter Optimization, Particle Swarm Algorithm

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] G. J LAI, J Y CHANG. Stability analysis of chatter vibration for a thin-wall cylindrical work-piece, J. Mach. Tools Manufacture, 135(1995) 431-444.

DOI: 10.1016/0890-6955(94)e0011-7

Google Scholar

[2] C K CHEN, Y M TSAO. A stability analysis of turning a tailstock supported ﬂexible work-piece, International Journal of Machine Tools & Manufacture, 46(2006) 18–25.

DOI: 10.1016/j.ijmachtools.2005.04.002

Google Scholar

[3] LIN Bin, CHEN Dong, HAN Zhilin, ZHANG Baoxing, ZHANG Lei, Research on the Cutting Stability of Thin Cylindrical Shell of Aluminum Alloy, J. ACTA ARMAMENTARII. Vol. 33 No. 7 Jul. 2012. (In Chinese).

Google Scholar

[4] Yiğit Karpat, Tuğrul Özel, Multi-objective optimization for turning processes using neural network modeling and dynamic-neighborhood Particle swarm optimization, International Journal of advanced manufacture technology, 35(2007) 234–247.

DOI: 10.1007/s00170-006-0719-8

Google Scholar

[5] Eberhart C R, Kennedy J, Particle swarm optimization, Proc IEEE International Conference on Neural Networks, Piscataway, NJ, (1995) 1942–(1948).

Google Scholar

[6] Marler RT, Arora JS, Survey of multi-objective optimization methods for engineering. Structure Multidiscipline Optimization, 26 (2004) 369–395.

DOI: 10.1007/s00158-003-0368-6

Google Scholar