Grey relational analysis-based optimization of machining processes: a comprehensive review
S Chakraborty, HN Datta, S Chakraborty - Process Integration and …, 2023 - Springer
Process optimization deals with identifying the optimal settings of input parameters of
different machining processes resulting in most efficient utilization of energy and other …
different machining processes resulting in most efficient utilization of energy and other …
Application of signal to noise ratio and grey relational analysis to minimize forces and vibrations during precise ball end milling
In this paper, a method for the minimization of cutting forces and vibrations during precise
ball end milling of hardened 55NiCrMoV6 steel is developed. The aim of this work …
ball end milling of hardened 55NiCrMoV6 steel is developed. The aim of this work …
[HTML][HTML] Multi objective prediction and optimization of control parameters in the milling of aluminium hybrid metal matrix composites using ANN and Taguchi-grey …
This study aims to optimize the input parameters such as mass fraction and particle size of
SiC along with depth of cut, feed and cutting speed in the milling of Al5059/SiC/MoS 2. The …
SiC along with depth of cut, feed and cutting speed in the milling of Al5059/SiC/MoS 2. The …
EDM process parameter optimization for efficient machining of Inconel-718
In the present work, multi-response optimization of electro-discharge machining (EDM)
process is carried out based on an experimental analysis of machining superalloy Inconel …
process is carried out based on an experimental analysis of machining superalloy Inconel …
Machining performance optimization in drilling of multiwall carbon nano tube/epoxy nanocomposites using GRA-PCA hybrid approach
PK Kharwar, RK Verma - Measurement, 2020 - Elsevier
Epoxy nanocomposites play a leading role in manufacturing sectors due to excellent
engineering properties. This paper highlights the influence of process constraints and the …
engineering properties. This paper highlights the influence of process constraints and the …
Optimizing the powder mixed EDM process of nickel based super alloy
S Ramesh, MP Jenarthanan - Proceedings of the Institution …, 2021 - journals.sagepub.com
Powder Mixed Electric Discharge Machining has been the main focus of many researchers
for quite a long time. The performance of EDM process has been improved significantly by …
for quite a long time. The performance of EDM process has been improved significantly by …
Modeling of surface roughness using RSM, FL and SA in dry hard turning
This paper presents the development of mathematical, predictive and optimization models of
average surface roughness parameter (R_ a R a) in turning hardened AISI 1060 steel using …
average surface roughness parameter (R_ a R a) in turning hardened AISI 1060 steel using …
[PDF][PDF] Prediction of surface roughness in the ball-end milling process using response surface methodology, genetic algorithms, and grey wolf optimizer algorithm
The primary objective of machining operations modeling is developing a predictive
capability for machining performance in order to facilitate effective planning of machining …
capability for machining performance in order to facilitate effective planning of machining …
A grey approach to predicting healthcare performance
The success of an organization or a particular activity is evaluated through the measurement
of key performance indicators (KPIs). The aim of this paper is to analyze and predict the …
of key performance indicators (KPIs). The aim of this paper is to analyze and predict the …
A new multi-attribute decision-making method with three-parameter interval grey linguistic variable
C Li, J Yuan - International Journal of Fuzzy Systems, 2017 - Springer
In consideration of the fuzziness and the uncertainty in decision information, this paper
proposes a three-parameter interval grey linguistic variable decision-making method based …
proposes a three-parameter interval grey linguistic variable decision-making method based …