Rainflow evolution model: A holistic method of complex product functional design

IF 8 1区工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Advanced Engineering Informatics Pub Date : 2025-02-03 DOI:10.1016/j.aei.2025.103162

Chuan He , Mingyan Zhao , Runhua Tan

{"title":"Rainflow evolution model: A holistic method of complex product functional design","authors":"Chuan He , Mingyan Zhao , Runhua Tan","doi":"10.1016/j.aei.2025.103162","DOIUrl":null,"url":null,"abstract":"<div><div>Product complexity increases along with the increase of product functions. Effective methods are required in complex product development. Axiomatic design can reduce product complexity, but there are deficiencies in innovation improvement. A rainflow evolution model is proposed based on the technological evolution law and scientific effect: it can realize the innovative improvement of complex product functional design processes. Firstly, the functional design direction and the corresponding substitutability technical knowledge are mined for complex products. Then, the technological evolution law and su-field models are introduced to construct the field-combination selection matrix, which defines the design path of the new structure. The scientific effects are retrieved based on the conversion of energy forms, and a new scheme is designed using the analogy method. The introduction of cross-domain knowledge for complex product improves the innovation of functional design. The proposed method is applied to develop a powder dryer machine, to prove its feasibility and effectiveness.</div></div>","PeriodicalId":50941,"journal":{"name":"Advanced Engineering Informatics","volume":"65 ","pages":"Article 103162"},"PeriodicalIF":8.0000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Engineering Informatics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1474034625000552","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}

引用次数: 0

Abstract

Product complexity increases along with the increase of product functions. Effective methods are required in complex product development. Axiomatic design can reduce product complexity, but there are deficiencies in innovation improvement. A rainflow evolution model is proposed based on the technological evolution law and scientific effect: it can realize the innovative improvement of complex product functional design processes. Firstly, the functional design direction and the corresponding substitutability technical knowledge are mined for complex products. Then, the technological evolution law and su-field models are introduced to construct the field-combination selection matrix, which defines the design path of the new structure. The scientific effects are retrieved based on the conversion of energy forms, and a new scheme is designed using the analogy method. The introduction of cross-domain knowledge for complex product improves the innovation of functional design. The proposed method is applied to develop a powder dryer machine, to prove its feasibility and effectiveness.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Advanced Engineering Informatics 工程技术-工程：综合

CiteScore

12.40

自引率

18.20%

发文量

292

审稿时长

45 days

期刊介绍： Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.