Influence of process parameters on microstructural evolution, solidification mode, and impact strength in joining of stainless steel thin sheets

2021 ◽  
pp. 1-16
Author(s):  
Swagat Dwibedi ◽  
Swarup Bag
Keyword(s):  
Stainless Steel ◽  
Impact Strength ◽  
Microstructural Evolution ◽  
Process Parameters ◽  
Thin Sheets ◽  
Solidification Mode ◽  
Influence Of Process Parameters

Influence of Process Parameters on the Machining Characteristics of Austensite Stainless Steel (AISI 304)

2018 ◽  
Vol 5 (5) ◽  
pp. 13321-13333 ◽  
Author(s):  
A.P. Junaidh ◽  
G. Yuvaraj ◽  
Josephine Peter ◽  
V Bhuvaneshwari ◽  
Kanagasabapathi ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Process Parameters ◽  
Influence Of Process Parameters ◽  
Aisi 304 ◽  
Steel Aisi ◽  
Machining Characteristics ◽  
Stainless Steel Aisi

Machining performance and influence of process parameters on stainless steel 316L using die-sinker EDM with Cu tool

2019 ◽  
Vol 18 ◽  
pp. 2468-2476 ◽  
Author(s):  
Gurpreet Singh ◽  
Amandeep S. Bhui ◽  
Yubraj Lamichhane ◽  
Prabin Mukhiya ◽  
Purushottam Kumar ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Process Parameters ◽  
Machining Performance ◽  
Stainless Steel 316L ◽  
Influence Of Process Parameters

scholarly journals Optimization on Turning Parameters of 15-5PH Stainless Steel Using Taguchi Based Grey Approach and Topsis

2016 ◽  
Vol 63 (3) ◽  
pp. 397-412 ◽  
Author(s):  
D. Palanisamy ◽  
P. Senthil
Keyword(s):  
Stainless Steel ◽  
Performance Measures ◽  
Process Parameters ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Performance ◽  
Influence Of Process Parameters ◽  
Order Preference ◽  
Grey Relational

Abstract The machinability and the process parameter optimization of turning operation for 15-5 Precipitation Hardening (PH) stainless steel have been investigated based on the Taguchi based grey approach and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). An L27 orthogonal array was selected for planning the experiment. Cutting speed, depth of cut and feed rate were considered as input process parameters. Cutting force (Fz) and surface roughness (Ra) were considered as the performance measures. These performance measures were optimized for the improvement of machinability quality of product. A comparison is made between the multi-criteria decision making tools. Grey Relational Analysis (GRA) and TOPSIS are used to confirm and prove the similarity. To determine the influence of process parameters, Analysis of Variance (ANOVA) is employed. The end results of experimental investigation proved that the machining performance can be enhanced effectively with the assistance of the proposed approaches.

scholarly journals Influence of process parameters on the deep drawing of stainless steel

2007 ◽  
Vol 43 (14) ◽  
pp. 1062-1067 ◽  
Author(s):  
R. Padmanabhan ◽  
M.C. Oliveira ◽  
J.L. Alves ◽  
L.F. Menezes
Keyword(s):  
Stainless Steel ◽  
Process Parameters ◽  
Deep Drawing ◽  
Influence Of Process Parameters
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