New Hybrid AD Methodology for Minimizing the Total Amount of Information Content:A Case Study of Rehabilitation Robot Design  被引量:4

在线阅读下载全文

作  者:Tao Yang Xueshan Gao Fuquan Dai 

机构地区:[1]School of Design,Fujian University of Technology,Fuzhou,350118,China [2]School of Mechatronical Engineering,Beijing Institute of Technology,Beijing,100118,China [3]Department of Mechanical and Automotive Engineering,Fujian University of Technology,Fuzhou,350118,China [4]Fujian Haiyuan Composite Materials Technology Co.,Ltd.,Fuzhou,China

出  处:《Chinese Journal of Mechanical Engineering》2020年第6期177-186,共10页中国机械工程学报(英文版)

基  金:Supported by Research Startup Fund Project of Fujian University of Technology(Grant No.GY-Z20089);Science Foundation for Young Scholars of Fujian Province of China(Grant No.2018J05099);Education and Scientific Research Projects of Young Teachers in Fujian Province of China(Grant No.JAT160313).

摘  要: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.

关 键 词:Axiomatic design Amount of information content TRIMMING Rehabilitation robot 

分 类 号:TP242[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象