Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Quality Engineering Using Robust Design
Quality Engineering Using Robust Design
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Introduction to Simulink with Engineering Applications, Second Edition
Introduction to Simulink with Engineering Applications, Second Edition
Machinery design for construction safety in practice
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: context diversity - Volume Part III
Heuristic methods aiding ergonomic design
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I
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Contemporary designed and manufactured products should meet a wide range of client requirements and expectations regarding quality for conditions of use in a life cycle. Therefore, design methods, which enable an optimal choice of product parameters by decreasing product sensivity to occurrence of some disturbances in a manufacturing process, become more and more significant in industrial practice. Such a behavior probably allows getting the lowest quality loss while keeping planned production costs. In this article, a new method of products design robust to disturbances exsisting in a technological process is presented. The application of mathematical modeling and methods of parameter estimation enabled formulating an approach in which parameters and acceptable tolerance of manufacturing product parameters are calculated. The efficiency of the proposed method was verified in the machine-building industry with the example of designing parameters of a brushless direct current motor. © 2010 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.