Methodology for capturing and formalizing DFM Knowledge

被引:26
|
作者
Ferrer, I. [1 ]
Rios, J. [2 ]
Ciurana, J. [3 ]
Garcia-Romeu, M. L. [3 ]
机构
[1] Univ Girona, Dept Business Adm Management & Prod Design, Girona 17071, Spain
[2] Tech Univ Madrid, Dept Mech Engn & Mfg, Madrid, Spain
[3] Univ Girona, Dept Mech Engn & Ind Construct, Girona 17071, Spain
关键词
Design for manufacturing (DFM); Manufacturing knowledge; Integration of design and manufacturing; Axiomatic Design; DESIGN PROCESS; PROCESS SELECTION; MODEL;
D O I
10.1016/j.rcim.2009.12.003
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Design for manufacturing (DFM) practices lead to more competitive products from the point of view of cost, development time and quality. However, the success of considering manufacturing issues during design process would be higher if manufacturing information was more readily available and designers needed less experience to select information relevant to DFM. This paper presents a method for identifying and formalizing the relevant manufacturing information that designer should have available for DFM. The method is based on the Axiomatic Design theory W. It helps the designer capture the relationship between design and manufacturing information. The information related to obtaining the design parameters that achieve product functionalities is the most relevant DFM information. A case study where the method is applied to the design of a connecting rod for an alternative internal combustion engine is presented. The manufacturing processes considered were hot closed die forging and powder metallurgy. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:420 / 429
页数:10
相关论文
共 50 条
  • [41] A METHODOLOGY FOR CAPTURING TECHNOLOGY VIA NEURAL NETWORKS
    BENDAVID, A
    PAO, YH
    [J]. EXPERT SYSTEMS IN ECONOMICS, BANKING AND MANAGEMENT, 1989, : 409 - 416
  • [42] A methodology for capturing and fusing unconscious cognition with computation
    Koola, Paul Mario
    Benjamin, Perakath
    Schatz, Sae
    Colombo, Gian
    [J]. 6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015, 2015, 3 : 4129 - 4135
  • [43] Tackling Winograd Schemas by Formalizing Relevance Theory in Knowledge Graphs
    Schuller, Peter
    [J]. FOURTEENTH INTERNATIONAL CONFERENCE ON THE PRINCIPLES OF KNOWLEDGE REPRESENTATION AND REASONING, 2014, : 358 - 367
  • [44] Formalizing construction knowledge for concurrent performance-based design
    Fischer, Martin
    [J]. INTELLIGENT COMPUTING IN ENGINEERING AND ARCHITECTURE, 2006, 4200 : 186 - 205
  • [45] Two LIMITATIONS IN LEGAL KNOWLEDGE BASE CONSTRUCTING AND FORMALIZING LAW
    Markovich, Reka
    [J]. JOURNAL OF APPLIED LOGICS-IFCOLOG JOURNAL OF LOGICS AND THEIR APPLICATIONS, 2019, 6 (05): : 941 - 961
  • [46] Introduction: Capturing theory and methodology in participatory research
    Taylor, RR
    Jason, LA
    Keys, CB
    Suarez-Balcazar, Y
    Davis, MI
    Durlak, JA
    Isenberg, DH
    [J]. Participatory Community Research: Theories and Methods in Action, 2004, : 3 - 14
  • [47] Formalizing Mathematical Knowledge as a Biform Theory Graph: A Case Study
    Carette, Jacques
    Farmer, William M.
    [J]. INTELLIGENT COMPUTER MATHEMATICS, 2017, 10383 : 9 - 24
  • [48] Formalizing Conceptual Knowledge Using Linear Method: Opportunities and Challenges
    Ramaswamy, Gowri Shankar
    Francis, F. Sagayaraj
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2013, : 331 - 336
  • [49] Improving visualisation by capturing domain knowledge
    Meddes, J
    McKenzie, E
    [J]. VISUAL DATA EXPLORATION AND ANALYSIS VII, 2000, 3960 : 186 - 195
  • [50] Capturing Lewis's "Elusive Knowledge"
    Xu, Zhaoqing
    [J]. LOGIC, RATIONALITY, AND INTERACTION, 2011, 6953 : 400 - 401