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Extension adaptive design model of scheme design for complex mechanical products

Ti-chun Wang ; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 344#, No. 29 Yudao Street, Nanjing 210016, China
Ai-jun Yang ; College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 344#, No. 29 Yudao Street, Nanjing 210016, China
Shi-sheng Zhong ; School of Mechatronics Engineering, Harbin Institute of Technology, No. 92 Xidazhi Street, Harbin 150001, China
Zhen-dong Zhao ; Wuxi TJ Innova Auto-design Co., Liyuan Development Zone, Ltd., Wuxi 214072, China


Puni tekst: hrvatski pdf 1.324 Kb

str. 123-133

preuzimanja: 278

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Puni tekst: engleski pdf 1.324 Kb

str. 123-133

preuzimanja: 240

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Sažetak

Due to the complicated, multi-hierarchy, multi-attribute and creative process of product structure configuration of complex mechanism scheme design, we study the extension design mode for adaptive design of a large complex product and propose an expression model of multi-type design knowledge in the process of product design. Combined with the field of knowledge and the related design constraints, the adaptive design of extension model is established. The objective function of extension adaptive design is to present the compatibility of the conditions and objectives in the process of adaptive design. Through establishing the ideal positive and negative domains, it acquires the weighted extension superiority of decision scheme. This paper puts forward the extension optimization method of adaptive design for complex mechanical products. Then, it establishes and proposes a framework of extension design model for complex mechanical products. Finally, it analyses the design of large hydraulic turbine products to verify the validity and operability of the model.

Ključne riječi

adaptive design, extension theory, model, product design, scheme design

Hrčak ID:

116584

URI

https://hrcak.srce.hr/116584

Podaci na drugim jezicima: hrvatski

Posjeta: 923 *