A review of indirect tool condition monitoring systems and decision-making methods in turning: Critical analysis and trends
The complex structure of turning aggravates obtaining the desired results in terms of tool
wear and surface roughness. The existence of high temperature and pressure make difficult …
wear and surface roughness. The existence of high temperature and pressure make difficult …
A critical review on applications of artificial intelligence in manufacturing
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
Proper estimation of surface roughness using hybrid intelligence based on artificial neural network and genetic algorithm
The surface roughness is a crucial index that is commonly used in the machining process to
evaluate the final product quality. This paper investigates the effect of different machining …
evaluate the final product quality. This paper investigates the effect of different machining …
Advances of metaheuristic algorithms in training neural networks for industrial applications
In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
Application of neural network in metal adsorption using biomaterials (BMs): a review
With growing environmental consciousness, biomaterials (BMs) have garnered attention as
sustainable materials for the adsorption of hazardous water contaminants. These BMs are …
sustainable materials for the adsorption of hazardous water contaminants. These BMs are …
Analysis, modeling, and multi-objective optimization of machining Inconel 718 with nano-additives based minimum quantity coolant
In the current study, analysis, modeling, and optimization of machining with nano-additives
based minimum quantity lubrication (MQL) during turning Inconel 718 are presented and …
based minimum quantity lubrication (MQL) during turning Inconel 718 are presented and …
Artificial neural network and genetic algorithm hybrid intelligence for predicting Thai stock price index trend
M Inthachot, V Boonjing… - Computational …, 2016 - Wiley Online Library
This study investigated the use of Artificial Neural Network (ANN) and Genetic Algorithm
(GA) for prediction of Thailand's SET50 index trend. ANN is a widely accepted machine …
(GA) for prediction of Thailand's SET50 index trend. ANN is a widely accepted machine …
A review: use of evolutionary algorithm for optimisation of machining parameters
NA Zolpakar, MF Yasak, S Pathak - The International Journal of Advanced …, 2021 - Springer
Optimisation of machining parameters is crucial to ensure higher productivity and optimum
outcomes in machining processes. By optimising machining parameters, a particular …
outcomes in machining processes. By optimising machining parameters, a particular …
Monitoring and predicting the surface generation and surface roughness in ultraprecision machining: A critical review
The aim of manufacturing can be described as achieving the predefined high quality product
in a short delivery time and at a competitive cost. However, it is unfortunately quite …
in a short delivery time and at a competitive cost. However, it is unfortunately quite …
Application of multi-objective genetic algorithm (MOGA) optimization in machining processes
Abstract Multi-objectives Genetic Algorithm (MOGA) is one of many engineering optimization
techniques, a guided random search method. It is suitable for solving multi-objective …
techniques, a guided random search method. It is suitable for solving multi-objective …