Optimization on the Turning Process Parameters of SS 304 Using Taguchi and TOPSIS

2022 ◽  
Author(s):  
Nikhil J. Rathod ◽  
Manoj K. Chopra ◽  
Prem Kumar Chaurasiya ◽  
Umesh S. Vidhate ◽  
Abhishek Dasore
Keyword(s):  
Process Parameters ◽  
Turning Process ◽  
Ss 304

Role of end- milling process parameters on surface integrity of SS-304: Integrated taguchi-grey approach

2021 ◽  
Author(s):  
Gaurav Kumar ◽  
Pankul Goel ◽  
Mukesh Kumar ◽  
Ankit Tomer ◽  
Mohd Atif Wahid
Keyword(s):  
Process Parameters ◽  
Surface Integrity ◽  
End Milling ◽  
Milling Process ◽  
Ss 304 ◽  
End Milling Process

Micro Textured Cutting Inserts with Solid Lubrication as Alternative Coolant to Mineral Oil-Based Cutting Fluid in Turning Operation

2021 ◽  
Vol 13 (4) ◽  
Author(s):  
C. Divya ◽  
L. Suvarna Raju ◽  
B. Singaravel
Keyword(s):  
Process Parameters ◽  
Orthogonal Array ◽  
Inconel 718 ◽  
Cutting Speed ◽  
Solid Lubricants ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Turning Process ◽  
Optimization Of Process Parameters ◽  
Cutting Inserts

Turning process is a primary process in engineering industries and optimization of process parameters enhance the machining performance. Inconel 718 is a nickel-based superalloy, widely found applications in the manufacturing of blades, sheets and discs in aircraft engines and rocket engines. It provides toughness at low temperature, with stand high mechanical stresses at elevated temperature and creep resistance. In this work, turning process is carried out on Inconel 718 with micro whole textured cutting inserts filled with solid lubricants. Three different solid lubricants are used namely molybdenum-di-sulfide (MoS2), tungsten-di-sulfide (WS2) and calcium-di-fluoride (CaF2). Experiments are performed as per L9 orthogonal array. Statistical approaches such as orthogonal array, Signal-to-Noise (S/N) ratio and Analysis of Variance (ANOVA) are used to find the importance and effects of machining parameters. In this study, input parameters included are feed, cutting speed and depth of cut and output parameter includes surface roughness. Optimization of process parameters is carried out and the significance is estimated. The result suggested that WS2 followed by MoS2 and CaF2 given good surface finish value. Also, solid lubricant in machining enhances the sustainability in manufacturing.

Application of MCDM Method for the Selection of Optimum Process Parameters in Turning Process

2018 ◽  
Vol 5 (5) ◽  
pp. 13464-13471
Author(s):  
B. Singaravel ◽  
D.Prabhu Shankar ◽  
Lakshmi Prasanna
Keyword(s):  
Process Parameters ◽  
Optimum Process ◽  
Turning Process ◽  
Mcdm Method ◽  
Selection Of

Development of a Passive Damping Tool Holder for the Improvement of Surace Roughness in Turning Operation of Stainless Steel

2016 ◽  
Vol 860 ◽  
pp. 70-73 ◽  
Author(s):  
Md Anayet Ullah Patwari ◽  
Md K. Bashar ◽  
Mohammad Ahsan Habib ◽  
Abdul Aziz ◽  
Mahfuz Alam
Keyword(s):  
Stainless Steel ◽  
Process Parameters ◽  
Surface Profile ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Turning Process ◽  
Passive Damping ◽  
Tool Holder ◽  
Damping Materials ◽  
High Viscous Fluid

One special type of passive damping setup has been used to investigate the surface responses with the variation of different process parameters. In this study, a special design capsule type tool holder has been used to investigate the process parameters effect in machining of stainless steel during turning operations under different cutting condition such as-RPM, feed, depth of cut. Inside the capsule high viscous fluid is used as damping materials and its effects has been investigated accordingly. The effect of damping during turning process is investigated by studying generated surface profile for both with and without damping system. It has been observed that surface roughness is better in the newly designed passive damping tool holder compared to normal cutting conditions.

Effect of process parameters on machinability characteristics of CO2 laser process used for cutting SS-304 Stainless steels

2019 ◽  
Vol 18 ◽  
pp. 2065-2072
Author(s):  
K. Rajesh ◽  
V.V. Murali Krishnam Raju ◽  
S. Rajesh ◽  
N. Sudheer Kumar Varma
Keyword(s):  
Co2 Laser ◽  
Process Parameters ◽  
Stainless Steels ◽  
Laser Process ◽  
Ss 304

CNC turning process parameters optimization on Aluminium 6082 alloy by using Taguchi and ANOVA

2020 ◽  
Vol 21 ◽  
pp. 1013-1021 ◽  
Author(s):  
S.P. Palaniappan ◽  
K. Muthukumar ◽  
R.V. Sabariraj ◽  
S. Dinesh Kumar ◽  
T. Sathish
Keyword(s):  
Process Parameters ◽  
Parameters Optimization ◽  
Turning Process ◽  
Process Parameters Optimization ◽  
Cnc Turning ◽  
Cnc Turning Process
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