A multi-criteria decision making method for vapor smoothening fused deposition modelling part

被引:8
|
作者
Sugavaneswarn, M. [1 ]
Prashanthi, B. [2 ]
Rajan, John A. [1 ]
机构
[1] Vellore Inst Technol, Sch Mech Engn, Vellore, Tamil Nadu, India
[2] Titan Engn Automat Ltd, Hosur, India
关键词
Fused deposition modeling; Post-processing; Material extrusion process; Vapor smoothening; Additive manufacturing; Multi-criteria decision-making (MCDM); TOPSIS; SURFACE-ROUGHNESS; SMOOTHING PROCESS; FINISHING PROCESS; ABS REPLICAS; OPTIMIZATION; PARAMETERS; IMPACT;
D O I
10.1108/RPJ-08-2020-0184
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Purpose This paper aims to enhance the surface finish of the fused deposition modeling (FDM) part using the vapor smoothening (VS) post-processing method and to study the combined effect of FDM and VS process parameters on the quality of the part. Design/methodology/approach Analysis of variance method is used to understand the significance of the FDM and VS process parameters. Following this, the optimized parameter for multiple criteria response is reported using the technique for order preference by similarity to ideal solution. The process parameters alternatives are build orientation angle, build surface normal and exposure time and the criteria are surface roughness and dimensional error percentage. Findings The result observed contradicts the result reported on the independent parameter optimization of FDM and VS processes. There is a radical improvement in the surface finish on account of the coating process and an increase in the exposure time results in the decrease of the surface roughness. Minimum surface roughness of 0.11 mu m is observed at 1,620 build angle and the least dimensional error of 0.01% is observed at build orientation angle 540. The impact of VS on the up-facing surface is different from the down-facing surface due to the removal of support material burrs and the exposure of the surface to vapor direction. Originality/value A study on the multi-criteria decision-making to ascertain the effect of post-processing on FDM component surface normal directed both to downward (build angle 0 degrees-90 degrees) and to upward (build angle 99 degrees-180 degrees) are reported for the first time in this article. The data reported for the post-processed FDM part at the build angle 0 degrees-180 degrees can be used as a guideline for selecting the optimal parameter and for assigning appropriate tolerance in the CAD model.
引用
收藏
页码:236 / 252
页数:17
相关论文
共 50 条
  • [41] Energy simulation in buildings with the help of multi-criteria decision making method
    Medineckiene, Milena
    Dziugaite-Tumeniene, Rasa
    9TH INTERNATIONAL CONFERENCE ENVIRONMENTAL ENGINEERING (9TH ICEE) - SELECTED PAPERS, 2014,
  • [42] Extended OLSR and AODV based on multi-criteria decision making method
    Beom-Su Kim
    BongSoo Roh
    Jae-Hyun Ham
    Ki-Il Kim
    Telecommunication Systems, 2020, 73 : 241 - 257
  • [43] THE MOMENT INTEGRATED SOLUTION METHOD IN MULTI-CRITERIA DECISION-MAKING
    Akan, Ercan
    Bayar, Sibel
    Elmas, Guldem
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2020, 27 (06): : 844 - 866
  • [44] The CAR Method for Using Preference Strength in Multi-criteria Decision Making
    Danielson, Mats
    Ekenberg, Love
    GROUP DECISION AND NEGOTIATION, 2016, 25 (04) : 775 - 797
  • [45] Multi-Criteria Decision Making in the Milling Process Using the PARIS Method
    Le, Hong Ky
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2022, 12 (05) : 9208 - 9216
  • [46] Extended OLSR and AODV based on multi-criteria decision making method
    Kim, Beom-Su
    Roh, BongSoo
    Ham, Jae-Hyun
    Kim, Ki-Il
    TELECOMMUNICATION SYSTEMS, 2020, 73 (02) : 241 - 257
  • [47] THE MULTI-CRITERIA HESITANT FUZZY GROUP DECISION MAKING WITH MULTIMOORA METHOD
    Zeng, Shouzhen
    Balezentis, Alvydas
    Su, Weihua
    ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2013, 47 (03): : 171 - 184
  • [48] APPLICATIONS OF WASPAS METHOD AS A MULTI-CRITERIA DECISION-MAKING TOOL
    Chakraborty, Shankar
    Zavadskas, Edmundas Kazimieras
    Antucheviciene, Jurgita
    ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2015, 49 (01): : 5 - 22
  • [49] A multiplicative best-worst method for multi-criteria decision making
    Brunelli, Matteo
    Rezaei, Jafar
    OPERATIONS RESEARCH LETTERS, 2019, 47 (01) : 12 - 15
  • [50] Structure of multi-criteria decision-making
    Brugha, C
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2004, 55 (11) : 1156 - 1168