Rapid tooling manufacturability evaluation using fuzzy-AHP methodology

被引:28
|
作者
Nagahanumaiah
Ravi, B. [1 ]
Mukherjee, N. P.
机构
[1] Cent Mech Engn Res Inst, Durgapur, India
[2] Indian Inst Technol, Dept Mech Engn, Bombay 400076, Maharashtra, India
关键词
rapid tooling; manufacturability evaluation; fuzzy-AHP; injection molding;
D O I
10.1080/00207540600622431
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Rapid tooling (RT) processes driven by rapid prototyping (such as stereolithography and selective laser sintering) can reduce mold development lead-time by 50% or more, though there are certain limitations in terms of mold materials, accuracy, and surface finish. This paper presents a systematic approach for manufacturability analysis of molds produced by rapid tooling methods, based on three aspects: mold feature manufacturability, secondary elements compatibility, and cost effectiveness. The geometric features of functional elements of the mold (core, cavity, side core, etc.) are evaluated for manufacturability using fuzzy-analytic hierarchy process (Fuzzy-AHP) methodology. The secondary elements of mold (parting surface, ejectors, cooling lines, etc.) are checked for compatibility with RT mold properties (machinability, wear resistance, and surface evenness). Finally, the cost of RT mold is estimated using a semi-empirical model based on cost drivers and cost modifiers, and compared with that of a conventional mold. The methodology has been demonstrated with an experimental mold. It is useful not only for RT mold process selection, but also for identifying minor modifications to a mold design to improve its manufacturability and economy.
引用
收藏
页码:1161 / 1181
页数:21
相关论文
共 50 条
  • [1] Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology
    Gumus, Alev Taskin
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (02) : 4067 - 4074
  • [2] Rapid hard tooling process selection using QFD-AHP methodology
    Hanumaiah, Naga
    Ravi, B.
    Mukherjee, N. P.
    JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2006, 17 (03) : 332 - 350
  • [3] Material selection in design for deconstruction using Kano model, fuzzy-AHP and TOPSIS methodology
    Zoghi, Milad
    Rostami, Ghodsiyeh
    Khoshand, Afshin
    Motalleb, Fatemeh
    WASTE MANAGEMENT & RESEARCH, 2022, 40 (04) : 410 - 419
  • [4] Landslide Susceptibility Mapping Using Fuzzy-AHP
    Mokarram M.
    Zarei A.R.
    Geotechnical and Geological Engineering, 2018, 36 (6) : 3931 - 3943
  • [5] The Fuzzy-AHP Evaluation Method for Unmanned Ground Vehicles
    Sun, Yang
    Tao, Gang
    Xiong, Guangming
    Chen, Huiyan
    APPLIED MATHEMATICS & INFORMATION SCIENCES, 2013, 7 (02): : 653 - 658
  • [6] A enterprises' supplier evaluating system using fuzzy-AHP
    Cai, Lan
    Guo, Shunsheng
    Zhou, Luming
    Proceedings of 2006 International Conference on Artificial Intelligence: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS, 2006, : 326 - 329
  • [7] Enterprise performance evaluating system using fuzzy-AHP
    Cai Lan
    Guo Shunsheng
    Tang Hongmei
    2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 1071 - 1075
  • [8] Road hierarchy with integration of attributes using fuzzy-AHP
    Gulgen, Fatih
    GEOCARTO INTERNATIONAL, 2014, 29 (06) : 688 - 708
  • [9] An evaluation of quality goals by using fuzzy AHP and fuzzy TOPSIS methodology
    Tadic, Danijela
    Gumus, Alev Taskin
    Arsovski, Slavko
    Aleksic, Aleksandar
    Stefanovic, Miladin
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2013, 25 (03) : 547 - 556
  • [10] Supplier Selection Using Fuzzy-AHP: A Case Study
    Agrawal, Narayan
    Kant, Shashi
    TRENDS IN MANUFACTURING PROCESSES, ICFTMM 2018, 2020, : 119 - 127