{"title":"Performance Based Design","authors":"S. Razavi, Yong Zeng","doi":"10.3233/jid180017","DOIUrl":null,"url":null,"abstract":"Performance in design processes depends on different factors and the meaning of performance is varied in different fields. In order to define a general definition of performance for its further analysis in all disciplines, we represent the performance of an individual or a group as a function of workload and mental stress. According to the mental stress model (Nguyen & Zeng, 2012), a moderate range of stresses for individuals may lead to their best performance, which is achieved when their workload and mental capability are at a comparable level. In the meantime, human mental capacity can be defined as individuals’ knowledge, skills, and affective. In this special issue, four papers are selected to address different aspects of designer’s mental capability. The first paper attempts to achieve better product performance by updating the design and analysis tools and skills. In the second paper, methods were developed to analyse and optimize a sample bicrystal structure by checking its performance when it is subjected to different loads and affected by different shapes of the structure. The third paper illustrates a software engineering viewpoint about developing performance, which defines software designing performance in terms of time and cost. The last paper represents performance indicators and objectives as the main factors of architecture design, which further analyses these factors and designers’ available tools and skills through a detailed literature review. The paper, Optimal Design Method for Energy-Saving Structure Based on Genetic Algorithm and Finite Element Analysis”, a design methodology to improve performance of vulcanizing forming moulds through optimizing their temperature field. Vulcanizing forming mould affects the quality of compound rubber bearings, which is widely utilized in different industries. They to optimize the structure and power distribution of moulds. They first obtained effective parameters, afterward they optimized energy consumption based on the extracted parameters and finally they checked","PeriodicalId":342559,"journal":{"name":"J. Integr. Des. Process. Sci.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Integr. Des. Process. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/jid180017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Performance in design processes depends on different factors and the meaning of performance is varied in different fields. In order to define a general definition of performance for its further analysis in all disciplines, we represent the performance of an individual or a group as a function of workload and mental stress. According to the mental stress model (Nguyen & Zeng, 2012), a moderate range of stresses for individuals may lead to their best performance, which is achieved when their workload and mental capability are at a comparable level. In the meantime, human mental capacity can be defined as individuals’ knowledge, skills, and affective. In this special issue, four papers are selected to address different aspects of designer’s mental capability. The first paper attempts to achieve better product performance by updating the design and analysis tools and skills. In the second paper, methods were developed to analyse and optimize a sample bicrystal structure by checking its performance when it is subjected to different loads and affected by different shapes of the structure. The third paper illustrates a software engineering viewpoint about developing performance, which defines software designing performance in terms of time and cost. The last paper represents performance indicators and objectives as the main factors of architecture design, which further analyses these factors and designers’ available tools and skills through a detailed literature review. The paper, Optimal Design Method for Energy-Saving Structure Based on Genetic Algorithm and Finite Element Analysis”, a design methodology to improve performance of vulcanizing forming moulds through optimizing their temperature field. Vulcanizing forming mould affects the quality of compound rubber bearings, which is widely utilized in different industries. They to optimize the structure and power distribution of moulds. They first obtained effective parameters, afterward they optimized energy consumption based on the extracted parameters and finally they checked