Title: A mathematical model for design problem of hydraulic valve product
Authors: Jian-Wei Ma; Fu-Ji Wang; Zhen-Yuan Jia
Addresses: Key Laboratory for Precision and Non-traditional Machining Technology, Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China ' Key Laboratory for Precision and Non-traditional Machining Technology, Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China ' Key Laboratory for Precision and Non-traditional Machining Technology, Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China
Abstract: In the production of the assembly product with specific performance requirements, it will be of great significance to study how to determine the range of geometrical parameters of the product components in the product design. Due to the effect of various factors in the processing, characteristics of assembly product and geometric parameters affect characteristics typically have a range of permitted tolerances, namely, with a certain uncertainty, so the key is to study the interval prediction model between the characteristics and geometric parameters of the assembly product. In this study, an interval prediction model was proposed based on rough set theory and support vector interval regression networks. To illustrate the applicability and capability of the developed model, a specific hydraulic valve production was selected as a case study. The experimental results showed that the model can perfectly fit the interval corresponding relationship between the product characteristics and geometric parameters.
Keywords: interval prediction; rough sets; SVIRNs; support vector interval regression networks; hydraulic valves; product design; mathematical modelling; product characteristics; geometric parameters; assembly products.
DOI: 10.1504/IJISE.2012.047541
International Journal of Industrial and Systems Engineering, 2012 Vol.11 No.4, pp.331 - 349
Published online: 20 Dec 2014 *
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