Multi-objective optimization of machining parameters during dry turning of AISI 304 austenitic stainless steel using grey relational analysis

SK Nayak, JK Patro, S Dewangan… - Procedia Materials …, 2014 - Elsevier
The current study aims at investigating the influence of different machining parameters such
as cutting speed (V c), feed (f) and depth of cut (t) on different performance measures during …

Achieving machining effectiveness for AISI 1015 structural steel through coated inserts and grey-fuzzy coupled Taguchi optimization approach

C Moganapriya, R Rajasekar, P Sathish Kumar… - Structural and …, 2021 - Springer
Multi-objective optimization technique has become an essential step in the selection of
cutting parameters. The intension of this research study is to analyze the performance …

Influence of coated and uncoated carbide tools on tool wear and surface quality during dry machining of stainless steel 304

N Sharma, K Gupta - Materials Research Express, 2019 - iopscience.iop.org
Machining of difficult-to-machine materials has always been a prime area of investigation for
researchers. With regard to that tool wear and surface roughness are some of the most …

Modeling and analysis of machining parameters of ecap processed commercial pure aluminum using RSM and ANN

S Surendarnath, T Ramachandran… - Surface Review and …, 2022 - World Scientific
Equal channel angular pressing (ECAP) processed materials have higher grain refinement
and strength, and they exhibit more surface roughness when they are machined. This …

Experimental investigation of flank wear and surface roughness during hard turning of AISI H11 steel with CBN tools

KB Rathod, DI Lalwani - 2017 - nopr.niscpr.res.in
Hard turning of AISI H11 steel using TiN coated cubic boron nitride (CBN) tools is carried out
to investigate the effect of cutting conditions on flank wear and surface roughness. The face …

Modeling and optimization of cutting parameters during machining of austenitic stainless steel AISI304 using RSM and desirability approach

S Boucherit, S Berkani, MA Yallese, R Khettabi… - Periodica Polytechnica …, 2021 - pp.bme.hu
In the current paper, cutting parameters during turning of AISI 304 Austenitic Stainless Steel
are studied and optimized using Response Surface Methodology (RSM) and the desirability …

Optimization of Cutting Parameters for AISI H13 Tool Steel by Taguchi Method and Artificial Neural Network

H Pathak, S Das, R Doley, S Kashyap - International Journal of …, 2015 - igi-global.com
In the present study an attempt has been made to investigate the effect of cutting parameters
(cutting speed, feed rate, and depth of cut) on surface roughness and material removal rate …

Dimensional accuracy optimization of the micro-plastic injection molding process using the Taguchi design method

KUO Chil-Chyuan, L Hsin-You - Materials Science, 2015 - matsc.ktu.lt
Plastic injection molding is an important field in manufacturing industry because there are
many plastic products that produced by injection molding. However, the time and cost …

[PDF][PDF] A review on optimization of cutting parameters in machining using Taguchi method

UM Rawat, VV Potdar - Int J Innov Res Adv Eng (IJIRAE), 2014 - academia.edu
In this paper an attempt is made to review the literature on optimisation of cutting parameters
in machining using Taguchi method. The settings of machining parameters were determined …

Investigação sobre a qualidade dos furos gerados na furação dos aços inoxidáveis austenítico Core® 304L e super austenítico Ultra® 904L

AM Vilanova - 2023 - lume.ufrgs.br
A indústria está cada vez mais preocupada com redução de custos e com a necessidade de
flexibilizar os seus processos por usinagem, transformando os seus variados produtos em …