Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE-Taguchi method

被引:11
作者
Ghalme, Sachin [1 ,2 ]
Mankar, Ankush [3 ]
Bhalerao, Y. J. [4 ]
机构
[1] SCSM CoE, Dept Mech Engn, Ahmednagar, India
[2] Manoharbhai Patel Inst Engn & Technol, Gondia, India
[3] VM Inst Engn Technol, Nagpur, Maharashtra, India
[4] MIT Acad Engn, Pune, Maharashtra, India
来源
SPRINGERPLUS | 2016年 / 5卷
关键词
Optimization; GFRP; Design of experiment; Taguchi method;
D O I
10.1186/s40064-016-3055-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction: Optimization of machining parameters is essential for improving expected outcome of any machining operation. Case Description: The aim of this work is to find out optimum values of machining parameters to achieve minimal surface roughness during milling operation of GFRP. Discussion and Evaluation: In this machining operation speed, depth of cut and feed rate are considered as parameters affecting surface roughness and Design of Experiment (DOE)-Taguchi method tool is used to plan experiments and analyse results. Conclusion: Analysis of experimental results presents optimum values of these three parameters to achieve minimal surface roughness with speed as a major contributing factor. Speed-200 rpm, depth of cut-1.2 mm and feed-40 mm/min are an optimal combination of machining parameter to produce minimal surface roughness during milling of GFRP.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Optimization of End Milling Parameters for Glass Fiber Reinforced Plastic (GFRP) Using Grey Relational Analysis
    Panneerselvam, K.
    Pradeep, K.
    Asokan, P.
    INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING, 2012, 38 : 3962 - 3968
  • [2] OPTIMIZATION OF END MILLING PARAMETERS FOR GLASS FIBER REINFORCED PLASTIC (GFRP) USING GREY RELATIONAL ANALYSIS
    Panneerselvam, K.
    Aravindan, S.
    Haq, A. Noorul
    ADVANCES IN HETEROGENEOUS MATERIAL MECHANICS 2011, 2011, : 1104 - +
  • [3] Optimization of Glass Fiber Reinforced Polymer (GFRP) using Multi Objective Taguchi function and TOPSIS
    JaisonBaby
    Shunmugesh, K.
    MATERIALS TODAY-PROCEEDINGS, 2019, 11 : 952 - 960
  • [4] Multi-objective optimization of fiber laser cutting quality characteristics of glass fiber reinforced plastic (GFRP) materials
    Huang, Shaofu
    Fu, Zhendong
    Liu, Chao
    Li, Jun
    OPTICS AND LASER TECHNOLOGY, 2023, 167
  • [5] Mechanical and Rheological Properties of Glass Fiber-Reinforced Flowable Mortar (GFRFM): Optimization Using Taguchi Method
    Wen Xu
    Mostafa Jalal
    Linbing Wang
    KSCE Journal of Civil Engineering, 2022, 26 : 310 - 324
  • [6] Mechanical and Rheological Properties of Glass Fiber-Reinforced Flowable Mortar (GFRFM): Optimization Using Taguchi Method
    Xu, Wen
    Jalal, Mostafa
    Wang, Linbing
    KSCE JOURNAL OF CIVIL ENGINEERING, 2021, 26 (1) : 310 - 324
  • [7] Multi parameter optimization in end milling of S-glass fiber reinforced polymer composite using Taguchi technique coupled with Grey Relational Analysis
    Kumar, G. Vijay
    Gopalakrishnaiah, P.
    Devi, M. Radha
    Vardhan, T. Vishnu
    Yelamasetti, Balram
    INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2024, 18 (05): : 2701 - 2710
  • [8] MODELING AND OPTIMIZATION OF PROCESS PARAMETERS FOR DELAMINATION IN DRILLING GLASS FIBER REINFORCED PLASTIC (GFRP) COMPOSITES
    Latha, B.
    Senthilkumar, V. S.
    Palanikumar, K.
    MACHINING SCIENCE AND TECHNOLOGY, 2011, 15 (02) : 172 - 191
  • [9] Cutting Parameter Optimization in Milling of Glass Fiber and Carbon Fiber Reinforced Composites to Reduce Cutting Force
    Eksi, Secil
    Ozsoy, Murat
    Ozsoy, Neslihan
    JOURNAL OF TESTING AND EVALUATION, 2023, 51 (05) : 2879 - 2890
  • [10] Optimization of Laser Engraving Process Parameters for the Engraving of Hybrid Glass Fiber Reinforced Plastic (GFRP) Combinations
    Mehra, R.
    Mohal, S.
    Lonia, B.
    Kumar, M.
    LASERS IN ENGINEERING, 2020, 45 (4-6) : 265 - 281