工程设计学报2026，Vol.33Issue(3)：301-314,14.DOI:10.3785/j.issn.1006-754X.2026.05.224
基于机理模型和TRIZ工具逆用的失效预测研究
Research on failure prediction based on mechanism models and inverse application of TRIZ tools
摘要
Abstract
Anticipatory failure determination(AFD)is a failure prediction method used to identify deficiencies and hidden risks in product design during design or manufacturing stages,serving as a powerful tool to enhance product reliability.Current AFD mainly define scenarios of successful realization of product functions at a macro level and give insufficient attention to the underlying mechanisms that drive functional realization,which affects the rationality and accuracy of failure prediction.Furthermore,the existing studies for function reversal and standard-solution reversal predominantly adopt direct semantic reversal to generate failure scenarios,which leads to relatively simplistic reversal methods.To address these issues,firstly,a mechanism-based failure prediction approach was proposed.In this approach,the mechanism model of the product was extracted,the mathematical or physical expressions of the mechanism model were used to query potential failures,and the integrated mechanism model was simulated by Simulink software to effectively query failure modes of the product.Secondly,the reversal forms of functions and standard solutions were added based on the substance-field model,and a method for obtaining failure events by reverse application of inventive principles in TRIZ(Teoriya Resheniya Izobreatatelskikh Zadatch)was proposed,forming a new path to obtain failure events.Finally,an AFD prediction process combining mechanism models and the reverse application of TRIZ problem-solving tools was established,and the failure prediction for a passive power-damping boring bar was conducted to verify the feasibility of this method.The proposed method improves the acquisition way of failure scenarios based on the traditional AFD process,effectively enhancing the rationality and accuracy of failure mode prediction,which has significant theoretical insights and practical engineering value for improving product design reliability.关键词
预期失效分析/机理模型/发明问题解决理论(TRIZ)/失效预测Key words
anticipatory failure determination/mechanism model/TRIZ/failure prediction分类
机械制造引用本文复制引用
薛润泽,张换高,张淼淼,王赛..基于机理模型和TRIZ工具逆用的失效预测研究[J].工程设计学报,2026,33(3):301-314,14.基金项目
国家自然科学基金资助项目(52575281) （52575281）
