Reliability-Based Optimum Tolerance Design for Industrial Electromagnetic Devices

Principle of tolerance design is receiving increased research focus to determine the optimal tradeoff between manufacturing cost and quality. However, current tolerance designs are not suitable for products such as electromagnetic devices that require high reliability, i.e., a very low failure rate. In this paper, a new tolerance design named as reliability-based optimum tolerance design is formulated and performed to guarantee the high reliability of the products while maximizing manufacturing tolerances. The proposed method quantifies the reliability using reliability analysis, which reflects the tolerance in the tolerance design. To validate the proposed method, tolerance design is applied to two examples: 1) a magnetic circuit ( C -core) and 2) a mass-produced interior permanent magnet motor that contains manufacturing tolerances of permanent magnet.

[1]  M. D. Al-Ansary,et al.  Concurrent optimization of design and machining tolerances using the genetic algorithms method , 1997 .

[2]  Tae Hee Lee,et al.  Robust Design: An Overview , 2006 .

[3]  Singiresu S Rao,et al.  Reliability-Based Design , 1992 .

[4]  Dong-Wook Kim,et al.  Applying Reliability Assessment Methods to Superconducting Magnetic Energy Storage System (SMES) Designs , 2011, IEEE Transactions on Magnetics.

[5]  Alessandro Formisano,et al.  Tolerance Analysis of NMR Magnets , 2010, IEEE Transactions on Magnetics.

[6]  Z.J. Liu,et al.  Application of taguchi method to robust design of bldc motor performance , 1999, IEEE International Magnetics Conference.

[7]  H. Bozdogan.  Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .

[8]  G. Spagnuolo.  Worst case tolerance design of magnetic devices by evolutionary algorithms , 2003 .

[9]  G. H. Sutherland,et al.  Mechanism Design: Accounting for Manufacturing Tolerances and Costs in Function Generating Problems , 1975 .

[10]  Saad T. Bakir,et al.  Tolerance Design: A Handbook for Developing Optimal Specifications , 1996 .

[11]  Sancho Salcedo-Sanz,et al.  A hybrid evolutionary programming approach for optimal worst case tolerance design of magnetic devices , 2012, Appl. Soft Comput..

[12]  田口 玄一,et al.  Introduction to quality engineering : designing quality into products and processes , 1986 .

[13]  G. Kitagawa,et al.  Akaike Information Criterion Statistics , 1988 .