通过装配分析设计识别失效模式和影响

Phyo Htet Hein, Nathaniel Voris, J. Dai, Beshoy Morkos
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引用次数: 2

摘要

由G. Boothroyd和P. Dewhurst开发的装配设计(DFA)时间估计方法允许基于装配者使用处理和插入表对组件特征的分析来估计工件的装配时间,装配者被假设一次组装工件的一个部件。使用这些表,为每个组件分配一个组装时间,该时间基于汇编程序操作所需的时间(处理时间)和它与其他组件接口所需的时间(插入时间)。使用这个装配时间和理想装配时间(即装配工件所需的绝对时间,假设每个组件需要三秒钟的理想时间来处理和插入),该方法允许计算设计的装配过程的效率。在制造设计(DFM)中偶尔使用的另一个工具是失效模式和影响分析(FMEA)。FMEA用于评价和记录失效模式及其对系统性能的影响。每个故障模式都是根据其严重性、发生率和可检测性得分,以及可用于控制风险项的纠正措施来排序的。组件的FMEA分数可以解决制造操作以及应该在每个特定组件上投入多少精力。在本文中,作者试图回答以下两个研究问题(rq),以确定FMEA分数与DFA装配时间之间的关系,以研究如果处理时间和插入时间已知,是否可以估计零件故障的严重性,发生率和可检测性。RQ (1): DFA指标(处理时间和插入时间)可以用来估计故障模式和影响评分(严重程度、发生率和可检测性)吗?RQ(2):每个响应指标与预测指标之间的关系是怎样的(正关系、负关系还是无关系)?这是通过对选定的一组简单产品执行Boothroyd和Dewhurst的DFA时间估计和FMEA来完成的。由于DFA指标是基于设计师主观性和零件几何规格的结合,而FMEA分数仅基于设计师的主观性,因此本文试图通过使用处理时间和插入时间来较少主观地估计零件失效的严重程度、发生率和可检测性。这也将允许更早和更快地获取潜在的零件故障信息,用于设计和制造过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying Failure Modes and Effects Through Design for Assembly Analysis
Design for Assembly (DFA) time estimation method developed by G. Boothroyd and P. Dewhurst allows for estimating the assembly time of artifacts based on analysis of component features using handling and insertion tables by an assembler, who is assumed to assemble the artifact one-part-at-a-time. Using the tables, each component is assigned an assembly time which is based on the time required for the assembler to manipulate (handling time) and the time required for it to interface with the rest of the components (insertion time). Using this assembly time and the ideal assembly time (i.e. the absolute time it takes to assemble the artifact, assuming each component takes the ideal time of three seconds to handle and insert), this method allows to calculate the efficiency of a design’s assembly process. Another tool occasionally used in Design for Manufacturing (DFM) is Failure Modes and Effects Analysis (FMEA). FMEA is used to evaluate and document failure modes and their impact on system performance. Each failure mode is ranked based on its severity, occurrence, and detectability scores, and corrective actions that can be taken to control risk items. FMEA scores of components can address the manufacturing operations and how much effort should be put into each specific component. In this paper, the authors attempt to answer the following two research questions (RQs) to determine the relationships between FMEA scores and the DFA assembly time to investigate if part failure’s severity, occurrence, and detectability can be estimated if handling time and insertion time are known. RQ (1): Can DFA metrics (handling time and insertion time) be utilized to estimate Failure Mode and Effects scores (severity, occurrence, and detectability)? RQ (2): How does each response metric relate to predictor metrics (positive, negative, or no relationship)? This is accomplished by performing Boothroyd and Dewhurst’s DFA time estimation and FMEA on select set of simple products. Since DFA metrics are based on combination of designer’s subjectivity and part’s geometric specifications and FMEA scores are based only on designer’s subjectivity, this paper attempts to estimate part failure severity, occurrence, and detectability less subjectively by using the handling time and insertion time. This will also allow for earlier and faster acquisition of potential part failure information for use in design and manufacturing processes.
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