Comparative Studies on Machinability of MCLA Steels EN19 and EN24 Using Taguchi Optimization Techniques

被引:4
|
作者
Geethanjali, K. S. [1 ]
Ramesha, C. M. [1 ]
Chandan, B. R. [1 ]
机构
[1] RAMAIAH INST TECHNOL, Dept Mech Engn, Bengaluru 560054, Karnataka, India
关键词
MCLA Steels; Machinability; Surface Roughness;
D O I
10.1016/j.matpr.2018.11.012
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Medium carbon low Alloy steels are commonly used for manufacturing of automotive components such as gears, spindle, shafts and aerospace components etc. In order to improve the mechanical properties of steel, forging and annealing operations are carried out. Machinability and surface roughness test was carried in order to find the optimum parameters of the EN Steels. Machinability is the ability of material, with ease of removal. Machining of material effects on the Tool Forces, power consumption and Surface Roughness. The present work focuses on Comparative Studies on Machinability of Forged and annealed EN19 and EN24 MCLA Steels, using Taguchi Optimization Technique. For machinability test, the Design the experiments is carried according to Taguchi L9 orthogonal array. Machinability Test is performed on the centre lathe, and the parameters studied are the cutting Speed, Feed and Depth of Cut. Also, the surface roughness is carried for the machinability samples to optimize the parameters for surface roughness using Taguchi's experiment.
引用
收藏
页码:25705 / 25712
页数:8
相关论文
共 17 条
  • [1] Proposal of En19 & En24 steels to face major challenges in indigenized track maintenance machines for Indian railway
    Pandey, Manas
    Mohanta, Prasanta Kumar
    Kumari, Soni
    Kumar, Nikhil
    [J]. INDIAN JOURNAL OF ENGINEERING AND MATERIALS SCIENCES, 2024, 31 (01) : 25 - 37
  • [2] Optimization of EN24 Steel on EDM Machine using Taguchi & ANOVA Technique
    Singh, Gurdev
    Singh, Sandeep
    Dhiman, Dhiraj Parkash
    Gulati, Vikas
    Kaur, Tasveer
    [J]. MATERIALS TODAY-PROCEEDINGS, 2018, 5 (14) : 27974 - 27981
  • [3] Modelling and Optimization of Tool Wear in Machining of EN24 Steel Using Taguchi Approach
    Gupta M.K.
    Singh G.
    Sood P.K.
    [J]. Journal of The Institution of Engineers (India): Series C, 2015, 96 (3) : 269 - 277
  • [4] Effect and Optimization of Machine Process Parameters on MRR for EN19 & EN41 materials using Taguchi
    Vikas
    Shashikant
    Roy, A. K.
    Kumar, Kaushik
    [J]. 2ND INTERNATIONAL CONFERENCE ON INNOVATIONS IN AUTOMATION AND MECHATRONICS ENGINEERING, ICIAME 2014, 2014, 14 : 204 - 210
  • [5] Surface Roughness Optimization of EN24 Steel in CNC Turning using Taguchi Method
    Vignesh S.H.
    [J]. International Journal of Vehicle Structures and Systems, 2023, 15 (05) : 631 - 635
  • [6] Multi-objective optimization of EN19 steel milling parameters using Taguchi, ANOVA, and TOPSIS approaches
    Jadhav, Pankaj Krishnath
    Sahai, R.S.N.
    Solanke, Sachin
    Gawande, S.H.
    [J]. Journal of Alloys and Metallurgical Systems, 2024, 7
  • [7] Comparative study of metallurgical and machinability characteristics of boronised and coated tungsten carbide inserts using EN19 steel as workpiece
    Shankar, E.
    Kumar, T. Sampath
    Devanathan, C.
    Sankar, S. Giri
    Dhandapani, S.
    Natarajan, M. S.
    [J]. MATERIALS TODAY-PROCEEDINGS, 2021, 46 : 3398 - 3403
  • [8] Optimization of process parameters on EN24 Tool steel using Taguchi technique in Electro-Discharge Machining (EDM)
    Jeykrishnan, J.
    Ramnath, Vijaya B.
    Akilesh, S.
    Kumar, Pradeep R. P.
    [J]. INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS AND MANUFACTURING APPLICATIONS (ICONAMMA-2016), 2016, 149
  • [9] Optimization of Machining Parameters in CNC Turning of Stainless Steel (EN19) By TAGUCHI'S Orthogonal Array Experiments
    Kumar, Vijay M.
    Kumar, Kiran B. J.
    Rudresha, N.
    [J]. MATERIALS TODAY-PROCEEDINGS, 2018, 5 (05) : 11395 - 11407
  • [10] Investigation of the effects of the Machining Parameters on Material Removal Rate using Taguchi method in End Milling of Steel Grade EN19
    Parashar, Vishal
    Purohit, Rajesh
    [J]. MATERIALS TODAY-PROCEEDINGS, 2017, 4 (02) : 336 - 341