Friction stir welding: multi-response optimisation using Taguchi-based GRA

被引:18
|
作者
Kundu, Jitender [1 ]
Singh, Hari [1 ]
机构
[1] Natl Inst Technol, Dept Mech Engn, Kurukshetra, Haryana, India
关键词
FSW; GRA; OA; GRG; ANOVA; UTS; Micro-Hardness;
D O I
10.1080/21693277.2016.1266449
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In present experimental work, friction stir welding of aluminium alloy 5083-H321 is performed for optimisation of process parameters for maximum tensile strength. Taguchi's L 9 orthogonal array has been used for three parameters - tool rotational speed (TRS), traverse speed (TS), and tool tilt angle (TTA) with three levels. Multi-response optimisation has been carried out through Taguchi-based grey relational analysis. The grey relational grade has been calculated for all three responses ultimate tensile strength, percentage elongation, and micro-hardness. Analysis of variance is the tool used for obtaining grey relational grade to find out the significant process parameters. TRS and TS are the two most significant parameters which influence most of the quality characteristics of friction stir welded joint. Validation of predicted values done through confirmation experiments at optimum setting shows a good agreement with experimental values.
引用
收藏
页码:228 / 241
页数:14
相关论文
共 50 条
  • [31] Taguchi-based combined grey relational and principal component analyses for multi-response optimization of diesel engines
    Muqeem, Mohd
    Sherwani, Ahmad Faizan
    Ahmad, Mukhtar
    Khan, Zahid Akhtar
    GREY SYSTEMS-THEORY AND APPLICATION, 2017, 7 (03) : 408 - 425
  • [32] Modelling and Optimisation of Coconut Shell Drying and Carbonisation Using Multi-response Taguchi Method with Multi-response Signal-to-noise Procedure
    Musabbikhah
    Saptoadi, H.
    Subarmono
    Wibisono, M. Arif
    INTERNATIONAL JOURNAL OF ENGINEERING, 2018, 31 (03): : 464 - 472
  • [33] Applying a Taguchi-based fuzzy logic approach to optimize hydrothermal pretreatment of canola seeds using multi-response performance index
    Sanchez, Ramiro J.
    Blas, Maria J.
    Fernandez, Maria B.
    Nolasco, Susana M.
    OCL-OILSEEDS AND FATS CROPS AND LIPIDS, 2021, 28
  • [34] Multi-response optimization of CNC turning parameters of austenitic stainless steel 303 using Taguchi-based grey relational analysis
    Bharathi, S. R. Sundara
    Ravindran, D.
    Moshi, A. Arul Marcel
    TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING, 2020, 44 (04) : 592 - 601
  • [35] Multi-response optimization of hard turning parameters: a comparison between different hybrid Taguchi-based MCDM methods
    Nafisa Anzum Sristi
    Prianka B. Zaman
    Nikhil R. Dhar
    International Journal on Interactive Design and Manufacturing (IJIDeM), 2022, 16 : 1779 - 1795
  • [36] Multi-response optimization of hard turning parameters: a comparison between different hybrid Taguchi-based MCDM methods
    Sristi, Nafisa Anzum
    Zaman, Prianka B.
    Dhar, Nikhil R.
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2022, 16 (04): : 1779 - 1795
  • [37] Investigation and Multi-Response Optimization of Friction Stir Welding Process Parameters for Stir Cast AA6092/SiC Composite
    Jamaludeen, Umar Mohamed
    MATERIALS RESEARCH-IBERO-AMERICAN JOURNAL OF MATERIALS, 2024, 27
  • [38] Multi-response optimisation in ultrasonic machining of titanium using Taguchi's approach and utility concept
    Kumar J.
    Khamba J.S.
    International Journal of Manufacturing Research, 2010, 5 (02) : 139 - 160
  • [39] Steepest ant sense algorithm for parameter optimisation of multi-response processes based on taguchi design
    P. Luangpaiboon
    S. Boonhao
    R. Montemanni
    Journal of Intelligent Manufacturing, 2019, 30 : 441 - 457
  • [40] Steepest ant sense algorithm for parameter optimisation of multi-response processes based on taguchi design
    Luangpaiboon, P.
    Boonhao, S.
    Montemanni, R.
    JOURNAL OF INTELLIGENT MANUFACTURING, 2019, 30 (01) : 441 - 457