Research on Design Method of Electromechanical Product Form Based on MA-GA

2011 ◽  
Vol 55-57 ◽  
pp. 1350-1356
Author(s):  
Xiao An Yang ◽  
Guang Long Sun ◽  
Hao Chen ◽  
Xiao Hong Liu ◽  
Wei She Zhang

In electromechanical products form design, there still exist problems such as CAD supporting incompletely and low-usage of existent excellent case form information, this paper proposed a comprehensive method of product form design, which integrated morphological matrix, BP network, Analytical Hierarchy Process (AHP), Gray Relating Analyze (GRA) and Genetic Algorithms. According to the heritability of product form features, this method deconstructed case product modeling components and form elements to obtain the form features, then the features and feature values of product form were represented by morphologic matrix, finally product form design scheme were combined with reasonable solutions. Grading method and AHP were used to quantify the modeling components feature, form elements and perceptual image vocabularies of case product, and a BP network model was trained for form scheme image prediction. This article constructed the genetic algorithm fitness function with the weighed grey relation grade to optimize the product form scheme based on customers’ requirements. VC++ was applied to develop the design software, the design of electric bicycle form scheme was taken to illustrate the application process of this method.

2014 ◽  
Vol 568-570 ◽  
pp. 835-841
Author(s):  
Xi Hui Yang ◽  
Yuan Peng Zhu ◽  
Jin Wang ◽  
Yan Kang

After the European and American countries put forward the modular design in the 1950s, and it become a hot topic again in 2013. Modular design make a well experience for product form design, but it also has its limitation. because of Genetic Algorithm (GA) has the superiority of optimizing and solving, This paper proposes a modular, hierarchical product modelling design based on GA, Using iterative repeated optimization genetic operators to make product modeling design to achieve an optimal form.


2013 ◽  
Vol 274 ◽  
pp. 513-516 ◽  
Author(s):  
Yu Qing Xu ◽  
Kun Chen ◽  
Hai Bin Qin ◽  
Zhao Yang Wang

Design mode of product form is constructed combining Kansei Engineering (KE) with Ergonomics. KE is used as main technique to transform consumers' feelings and images of shape, size, material, operability of product into design form futures. The main factors and problems of Kansei experiment and Kansei analysis are also identified.Ergonomics acts as the assisting technique for meeting physiological criteria of consumer group. An implement of a product form design was conducted, and then the feasibility of proposed design mode based on KE is discussed which provides related products’ reference to designers.


2002 ◽  
Vol 23 (1) ◽  
pp. 67-84 ◽  
Author(s):  
Shih-Wen Hsiao ◽  
H.C Huang

Author(s):  
José E. Lugo ◽  
Stephen M. Batill ◽  
Laura Carlson

Engineers describe design concepts using design variables. Users develop their visual judgment of products by mentally grouping design variables according to Gestalt principles, extracting meaning using semantic dimensions and attaching attributes to the products, as reflected in Kansei methodology. The goal of this study was to assess how these different sources of information and representations of product form (design variables, Gestalt variables, Kansei attributes, and semantic dimensions) could combine to best predict product preference for both designers and users. Sixteen wheel rim designs were created using four design variables that were also combined into higher-order Gestalt variables. Sixty-four participants viewed each rim, and rated it according to semantic dimensions and Kansei attributes, and provided an overall “like” rating. The most reliable prediction of product preference were developed using Gestalt variables in combination with the meaning and emotion the users attached to the product. Finally, implications for designers are discussed.


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