Modelling and optimisation of thrust force, torque and tool wear in drilling of coir fibre reinforced composites using response surface method

被引:16
|
作者
Jayabal S. [1 ]
Natarajan U. [1 ]
机构
[1] Department of Mechanical Engineering, A.C. College of Engineering and Technology, Tamilnadu
关键词
CNC milling machine; Drill tool dynamometer; Response surface methodology; RSM; Thrust force; Tool wear; Torque;
D O I
10.1504/IJMMM.2011.038166
中图分类号
学科分类号
摘要
Drilling is a metal removal process and is important for the final fabrication stage prior to application. This paper discussed the influence of parameters on drilling characteristics of natural fibre reinforced composites (NFRC) by Box-Behnken design, analysis of variance (ANOVA) and response surface methodology (RSM) techniques. The composites were fabricated and the experiments were conducted to study the effect of drill bit diameter, spindle speed and feed rate on thrust force, torque and tool wear using HSS twist drills. This paper presented a mathematical model for correlating the interactions of drilling parameters and the optimum values of responses by RSM. The mathematical models developed are generally used to predict the responses with a reasonable accuracy over a wide range of drilling conditions. The optimum value of tool wear is an important performance characteristic, affecting both metal removal rate and the hole accuracy. Copyright © 2011 Inderscience Enterprises Ltd.
引用
下载
收藏
页码:149 / 172
页数:23
相关论文
共 50 条
  • [11] Study of Thrust Force and Torque in Drilling Carbon Fibre Reinforced Plastics(CFRP) Using Twist Drill Brazed Diamond
    Liu Dong
    Chen Wuyi
    Chen Zhitong
    2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 1, 2010, : 44 - 47
  • [12] Experimental analysis of Delamination, Thrust Force and Surface roughness on Drilling of Glass Fibre Reinforced Polymer Composites Material Using Different Drills
    Kumar, Dhiraj
    Singh, K. K.
    MATERIALS TODAY-PROCEEDINGS, 2017, 4 (08) : 7618 - 7627
  • [13] Prediction of Thrust Force and Cutting Torque in Drilling Based on the Response Surface Methodology
    Kyratsis, Panagiotis
    Markopoulos, Angelos P.
    Efkolidis, Nikolaos
    Maliagkas, Vasileios
    Kakoulis, Konstantinos
    MACHINES, 2018, 6 (02)
  • [14] Effect of thrust force, torque, and induced temperature on Kevlar reinforced composites during drilling process
    Kumar, A. Mohan
    Parameshwaran, R.
    Rajasekar, R.
    Ragavendra, V. C. Harissh
    Praveenraj, N.
    MATERIALS TODAY-PROCEEDINGS, 2021, 45 : 522 - 528
  • [15] Optimization Studies on Thrust Force and Torque during Drilling of Natural Fiber Reinforced Sandwich Composites
    Vinayagamoorthy, Rajamanickam
    Rajeswari, Nagamalai
    Karuppiah, Balasubramanian
    JORDAN JOURNAL OF MECHANICAL AND INDUSTRIAL ENGINEERING, 2014, 8 (06): : 385 - 392
  • [16] Analysis of Variance (ANOVA) and Response Surface Analysis of Thrust Force and Torque in Drilling Granite Fiber Reinforced Epoxy Composites by using Multi Facet HSS Twist Drill
    Quadros, Jaimon Dennis
    Hanumanthraya
    Suhas
    Vaishak, N. L.
    Balakrishna, S. S.
    Dayangeri, Mahesh B.
    INTERNATIONAL CONFERENCE ON ADVANCES IN MANUFACTURING AND MATERIALS ENGINEERING (ICAMME 2014), 2014, 5 : 1660 - 1669
  • [17] Thrust and torque force analysis in the drilling of aramid fibre-reinforced composite laminates using RSM and MLPNN-GA
    Anarghya, A.
    Harshith, D. N.
    Rao, Nitish
    Nayak, Nagaraj S.
    Gurumurthy, B. M.
    Abhishek, V. N.
    Patil, Ishwar Gouda S.
    HELIYON, 2018, 4 (07):
  • [18] Prediction and comparison of thrust force and torque in drilling of natural fibre hybrid composite using regression and artificial neural network modelling
    Athijayamani A.
    Natarajan U.
    Thiruchitrambalam M.
    International Journal of Machining and Machinability of Materials, 2010, 8 (1-2) : 131 - 145
  • [19] Regression & neuro fuzzy models for prediction of thrust force and torque in drilling of glass fiber reinforced composites
    Jayabal, S.
    Natarajan, U.
    JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2010, 69 (10): : 741 - 745
  • [20] Modeling and optimization of thrust force, torque, and surface roughness in ultrasonic-assisted drilling using surface response methodology
    M. A. Moghaddas
    The International Journal of Advanced Manufacturing Technology, 2021, 112 : 2909 - 2923