Performance Measure Approach Based Multidisciplinary Design Optimization of Gear Transmission

Jun Zhang; Bing Zhang

doi:10.4028/www.scientific.net/AMR.694-697.868

Paper Titles

Analysis and Research of Short-Circuit Fault for SRD Based on Maxwell and Simplorer
p.842

Study of Influence on Power System Voltage Stability of Wind Farm Power Output Fluctuation
p.846

Fatigue Strength and Life Estimation Methods Using Critical Distance Stress Theory
p.853

Mechanics Properties Influence on Ball Mill Rotator through Sliding Shoes Position Change
p.864

Performance Measure Approach Based Multidisciplinary Design Optimization of Gear Transmission
p.868

Prognostics and Health Management of Mechanical Systems
p.872

Reliability Analysis on Gearbox Transmission System of Agricultural Machinery Chassis Based on FTA
p.876

Research on the Formula of the Height of Bearing Push-Extend under-Reamed of the Push-Extend Multi-under-Reamed Pile
p.883

Study on Fault Diagnosis Tree Generation Technology Based on Correlation Matrix
p.887

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Performance Measure Approach Based...

Performance Measure Approach Based Multidisciplinary Design Optimization of Gear Transmission

Abstract:

In order to reduce the influence of uncertainties on complicated engineering systems performance, a new method is proposed based on the performance measure approach and collaborative optimization (PMA-CO) to implement the reliability-based multidisciplinary design optimization of gear transmission. Both the mathematical model and procedures of PMA-CO are presented. With the adoption of slack factors in the system-level of collaborative optimization, both CO and PMA-CO are applied to the optimization of gear transmission. The proposed PMA-CO improves the reliability of the gear transmission and gained a tradeoff solution between design cost and reliability. Therefore, the PMA-CO is effective and practical in engineering design.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

868-871

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.868

Citation:

Cite this paper

Online since:

May 2013

Authors:

Jun Zhang*, Bing Zhang

Keywords:

Collaborative Optimization (CO), Gear Transmission, Multidisciplinary Design Optimization (MDO), Performance Measure Approach (PMA), Sequential Optimization and Reliability Assessment (SORA)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] P.K. Koch, B. Wujek and O. Golovidov. A multi-stage, parallel implementation of probabilistic design optimization in an MDO framework [C]. In: 8th AIAA/NASA/ISSMO symposium on multidisciplinary analysis and optimization, Long Beach, CA, 6–8 September, 2000.

DOI: 10.2514/6.2000-4805

Google Scholar

[2] L. S. Tong, B.Q. Shi and Y.H Shen. First-order reliability method based multidisciplinary 42-46.

Google Scholar

[3] X. P. Du, J. Guo and H. Beeram. Sequential optimization and reliability assessment for multidisciplinary systems design [J]. Structural Multidisciplinary Optimization, 2008, 35(2): 117-130.

DOI: 10.1007/s00158-007-0121-7

Google Scholar

[4] J. Ahn, J. H. Kwon. An efficient strategy for reliability-based multidisciplinary design optimization using BLISS [J]. Structural Multidisciplinary Optimization, 2006, 31(5): 363-372.

DOI: 10.1007/s00158-005-0565-6

Google Scholar

[5] X. D. Zhang, H. Z. Huang. Sequential optimization and reliability assessment for multidisciplinary design optimization under aleatory and epistemic uncertainties [J]. Structural Multidisciplinary Optimization, 2010, 40(1-6): 165-175.

DOI: 10.1007/s00158-008-0348-y

Google Scholar