Analysis and optimisation of machining parameters in micro turning using RSM

被引:6
作者
Selvakumar, S. [1 ]
Kumar, R. Ravi [2 ]
Ganesan, K. [3 ]
机构
[1] Roever Engn Coll, Fac Mech Engn, Perambalur, Tamil Nadu, India
[2] CMS Coll Engn, Dept Mech Engn, Namakkal 637003, Tamil Nadu, India
[3] PSG Coll Technol, Dept Mech Engn, Coimbatore 641004, Tamil Nadu, India
关键词
micro turning; response surface methodology; RSM; titanium alloy; tool wear; surface roughness; SURFACE-ROUGHNESS; TOOL; IMPROVEMENT; PREDICTION; TI-6AL-4V; LATHE; ALLOY;
D O I
10.1504/IJMPT.2015.070098
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Miniaturisation of industrial products has been the trend of technological development for creating smaller and precision components which plays an important role in today's need. Titanium alloy Gr. 2 is one of the most extensively used Ti alloys for high temperature application components, because of its low weight and high strength even at elevated temperatures for applications like aerospace gas turbine compartments. In this paper, the performance of micro turning of titanium alloy with cermet insert is investigated using response surface methodology and Box-Behnken design (BBD). Two empirical models have been developed for predicting the tool wear and surface roughness. The analysis reveals that the cutting speed and feed rate are more influencing parameters on responses. The optimisation results showed that the combination of medium spindle speed, feed rate, and high depth of cut are necessary to minimise the tool wear and surface roughness. A verification experiment is conducted and compared.
引用
收藏
页码:75 / 97
页数:23
相关论文
共 50 条
  • [31] OPTIMIZATION OF THE MACHINING PARAMETERS FOR THE TURNING OF 15-5 PH STAINLESS STEELS USING THE TAGUCHI METHOD
    Cetin, Serif
    Kivak, Turgay
    [J]. MATERIALI IN TEHNOLOGIJE, 2017, 51 (01): : 133 - 140
  • [32] Taguchi design and response surface methodology based analysis of machining parameters in CNC turning under MQL
    Sarikaya, Murat
    Gullu, Abdulkadir
    [J]. JOURNAL OF CLEANER PRODUCTION, 2014, 65 : 604 - 616
  • [33] Multi-response optimization of machining parameters in hot turning using grey analysis
    S. Ranganathan
    T. Senthilvelan
    [J]. The International Journal of Advanced Manufacturing Technology, 2011, 56 : 455 - 462
  • [34] Multi-response optimization of machining parameters in hot turning using grey analysis
    Ranganathan, S.
    Senthilvelan, T.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 56 (5-8) : 455 - 462
  • [35] Optimization of Machining Parameters in the Turning Operation of Inconel 825 Using Grey Relation Analysis
    Vasudevan, Hari
    Rajguru, Ramesh
    Jain, Shreyans
    Kaklotar, Milan
    Desai, Jaineel
    Mathur, Sanidhya
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INTELLIGENT MANUFACTURING AND AUTOMATION (ICIMA 2018), 2019, : 413 - 424
  • [36] Effects of Turning Parameters and Parametric Optimization of the Cutting Forces in Machining SiCp/Al 45 wt% Composite
    Laghari, Rashid Ali
    Li, Jianguang
    Mia, Mozammel
    [J]. METALS, 2020, 10 (06) : 1 - 22
  • [37] Investigations of performance parameters in NFMQL assisted turning of titanium alloy using TOPSIS and particle swarm optimisation method
    Gupta, Munish Kumar
    Sood, P. K.
    Singh, Gurraj
    Sharma, Vishal S.
    [J]. INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY, 2018, 57 (04) : 299 - 321
  • [38] Optimisation of machining parameters for single point diamond turning of chromium zirconium copper alloy C18150 using Taguchi & grey relational analysis
    Goel B.
    Singh S.
    Sarepaka R.G.V.
    [J]. International Journal of Machining and Machinability of Materials, 2017, 19 (02) : 95 - 109
  • [39] Assessment of machining performance parameters of nanofluid-based MQL-turning: An experimental analysis and CFD modelling
    Shukla, Rahul
    Tiwari, Arun Kumar
    Agarawal, Sanjay
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2022,
  • [40] Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods
    Asilturk, Ilhan
    Neseli, Suleyman
    Ince, Mehmet Alper
    [J]. MEASUREMENT, 2016, 78 : 120 - 128