New Hybrid AD Methodology for Minimizing the Total Amount of Information Content: A Case Study of Rehabilitation Robot Design

Chinese Journal of Mechanical Engineering

Fuquan Dai¹  Tao Yang²  Xueshan Gao³ 

[1] Fujian Haiyuan Composite Materials Technology Co., Ltd.;School of Design, Fujian University of Technology;School of Mechatronical Engineering, Beijing Institute of Technology;

关键词: Axiomatic design;    Amount of information content;    Trimming;    Rehabilitation robot;   

DOI  :  10.1186/s10033-020-00511-w

来源: DOAJ

【 摘 要 】

Abstract Converting customer needs into specific forms and providing consumers with services are crucial in product design. Currently, conversion is no longer difficult due to the development of modern technology, and various measures can be applied for product realization, thus increasing the complexity of analysis and evaluation in the design process. The focus of the design process has thus shifted from problem solving to minimizing the total amount of information content. This paper presents a New Hybrid Axiomatic Design (AD) Methodology based on iteratively matching and merging design parameters that meet the independence axiom and attribute constraints by applying trimming technology, the ideal final results, and technology evolution theory. The proposed method minimizes the total amount of information content and improves the design quality. Finally, a case study of a rehabilitation robot design for hemiplegic patients is presented. The results indicate that the iterative matching and merging of related attributes can minimize the total amount of information content, reduce the cost, and improve design efficiency. Additionally, evolutionary technology prediction can ensure product novelty and improve market competitiveness. The methodology provides an excellent way to design a new (or improved) product.

【 授权许可】

Unknown