Diffuse Response Surface Methodology to Reliable Optimization of Numerical Control Milling

Pei Pei Zhang; Hua Tao; Zi Dong Yin

doi:10.4028/www.scientific.net/AMR.118-120.581

Paper Titles

SPN Based Reliability Analysis in the Process Industry
p.561

The Development of Reliability Modeling and Analysis Tool Based on Stochastic Petri Nets
p.566

Research of Accelerated Reliability Test on Server
p.571

Research on the Six-Dimension Knowledge Classification System and Model for Modern Product Design
p.576

Diffuse Response Surface Methodology to Reliable Optimization of Numerical Control Milling
p.581

Optimization of Preventive Maintenance Policies for Aging Equipments in Finite Time Horizon
p.586

The Determine Method of Maintenance Strategy for Multi-State System
p.591

Research on Spurious Trip of 1oo2 Safety Instruments of Petrochemical Installation with Repair Considered
p.596

Estimation of Failure Probability and its Applications in Reliability Data Analysis
p.601

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 118-120Diffuse Response Surface Methodology to Reliable...

Diffuse Response Surface Methodology to Reliable Optimization of Numerical Control Milling

Abstract:

The selection of adaptable machining parameters is a key part in numerical control (NC) milling process. Deterministic optimal parameters are obtained without considering the uncertainties of machine tools. So a reliable optimization method was introduced in this study. We focus on a response surface methodology (RSM) adapted to reliability-based design optimization (RBDO) based on Diffuse Approximation (DA). A variant of the first order reliability method (FORM) is chosen to calculate the safety index. Case study is investigated for the NC milling operations of ultrahigh strength steel. We show how to get the optimal parameters with the safety index by the reliable optimization method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 118-120)

Pages:

581-585

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.118-120.581

Citation:

Cite this paper

Online since:

June 2010

Authors:

Pei Pei Zhang, Hua Tao, Zi Dong Yin

Keywords:

Diffuse Approximation, Machining Parameters, Reliable Optimization

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] N. Baskar, P. Asokan, R. Saravanan: Journal of Materials processing technology, 174 (2006), pp.239-249.

Google Scholar

[2] F. Cus: Journal of Materials Processing Technology, 173 (2006), pp.281-290.

Google Scholar

[3] B. D. Youn: Advances in reliability-based design optimization and probability analysis, The University of Iowa, Ph. D thesis, December (2001).

Google Scholar

[4] S. Jendo, R. Stocki: Introduction to reliability-based design, Institute of fundamental technological research, Polish academy of sciences.

Google Scholar

[5] P. Breitkopf, in: A. Huera. Meshfree and particle based approaches in computational mechanics, edited by revue européenne des elements finis, Volume. 11 - no 7-8 (2002), pp.830-831.

Google Scholar

[6] Z.Y. Zhao, in: Handbook of 300M steel, edited by Research Institute of China Aerospace CORP., (1991).

Google Scholar

[7] Y. Sahin: Materials and design, 26 (2005), pp.321-326. (a) Results in the X-space (b) Results in the U-space Fig . 5 Results of all the iterations.

Google Scholar