Effect of type and percentage of reinforcement for optimization of the cutting force in turning of Aluminium matrix nanocomposites using response surface methodologies

被引:10
|
作者
Priyadarshi, Devinder [1 ]
Sharma, Rajesh Kumar [2 ]
机构
[1] DAV Inst Engn & Technol, Dept Mech Engn, Jalandhar, Punjab, India
[2] Natl Inst Technol, Dept Mech Engn, Hamirpur, Himachal Prades, India
关键词
Aluminium matrix nanocomposites; Cutting force; Optimization; RSM; Turning; MACHINING PARAMETERS; COMPOSITE; ROUGHNESS; GRAPHITE; DESIGN; ALLOY; FINISH;
D O I
10.1007/s12206-016-0255-x
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Aluminium matrix composites (AMCs) now hold a significant share of raw materials in many applications. It is of prime importance to study the machinability of such composites so as to enhance their applicability. Sufficient work has been done for studying the machining of AMCs with particle reinforcements of micron range. This paper presents the study of AMCs with particle reinforcement of under micron range i.e. nanoparticles. This paper brings out the results of an experimental investigation of type and weight percent of nanoparticles on the tangential cutting force during turning operation. SiC, Gr and SiC-Gr (in equal proportions) were used with Al-6061 alloy as the matrix phase. The results indicate that composites with SiC require greater cutting force followed by hybrid and then Gr. Increase in the weight percent also significantly affected the magnitude of cutting force. RSM was used first to design and analyze the experiments and then to optimize the turning process and obtain optimal conditions of weight and type of reinforcements for turning operation.
引用
收藏
页码:1095 / 1101
页数:7
相关论文
共 38 条
  • [1] Effect of type and percentage of reinforcement for optimization of the cutting force in turning of Aluminium matrix nanocomposites using response surface methodologies
    Devinder Priyadarshi
    Rajesh Kumar Sharma
    Journal of Mechanical Science and Technology, 2016, 30 : 1095 - 1101
  • [2] Optimization for Turning of Al-6061-SiC-Gr Hybrid Nanocomposites Using Response Surface Methodologies
    Priyadarshi, Devinder
    Sharma, Rajesh Kumar
    MATERIALS AND MANUFACTURING PROCESSES, 2016, 31 (10) : 1342 - 1350
  • [3] Experimental Investigations to Study the Cutting Force and Surface Roughness during Turning of Aluminium Metal Matrix Hybrid Composites
    Kumar, Siddesh N. G.
    Shankar, G. S. Shiva
    Ganesh, M. N.
    Vibudha, L. K.
    MATERIALS TODAY-PROCEEDINGS, 2017, 4 (09) : 9371 - 9374
  • [4] PREDICTION AND OPTIMIZATION OF SURFACE ROUGHNESS AND CUTTING FORCE IN TURNING OF UHMWPE BY USING TAGUCHI METHOD, RESPONSE SURFACE METHODOLOGY AND NEURAL NETWORKS
    Susac, Florin
    Stan, Felicia
    Fetecau, Catalin
    Besliu, Irina
    PROCEEDINGS OF THE ASME 2020 15TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE (MSEC2020), VOL 2A, 2020,
  • [5] Optimization of Cutting Parameters on Turning Process Based on Surface Roughness using Response Surface Methodology
    Yusuf, Muhammad
    Ariffin, M. K. A.
    Ismail, N.
    Sulaiman, S.
    MATERIALS AND COMPUTATIONAL MECHANICS, PTS 1-3, 2012, 117-119 : 1561 - 1565
  • [6] Optimal machining conditions for turning of particulate metal matrix composites using Taguchi and response surface methodologies
    Palanikumar, K.
    Karthikeyan, R.
    MACHINING SCIENCE AND TECHNOLOGY, 2006, 10 (04) : 417 - 433
  • [7] Optimization for Turning of Aluminium and Titanium Di Boride Cast Composites Using Response Surface Methodology
    Joardar, H.
    MATERIALS TODAY-PROCEEDINGS, 2018, 5 (11) : 23576 - 23585
  • [8] Modeling and optimization of cutting conditions in hard turning by the Taguchi technique using response surface methodology (RSM)
    Elbah, Mohamed
    Fnides, Brahim
    Laouici, Hamdi
    Yallese, Mohamed Athmane
    UPB Scientific Bulletin, Series D: Mechanical Engineering, 2021, 83 (04): : 195 - 210
  • [9] Application of response surface methodology for determining cutting force model in turning of LM6/SiCP metal matrix composite
    Joardar, H.
    Das, N. S.
    Sutradhar, G.
    Singh, S.
    MEASUREMENT, 2014, 47 : 452 - 464
  • [10] Prediction of surface roughness and cutting force under MQL turning of AISI 4340 with nano fluid by using response surface methodology
    Patole, Pralhad B.
    Kulkarni, Vivek V.
    MANUFACTURING REVIEW, 2018, 5