Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011)

N Yusup, AM Zain, SZM Hashim - Expert Systems with Applications, 2012 - Elsevier
In highly competitive manufacturing industries nowadays, the manufactures ultimate goals
are to produce high quality product with less cost and time constraints. To achieve these …

Optimization of modern machining processes using advanced optimization techniques: a review

RV Rao, VD Kalyankar - The International Journal of Advanced …, 2014 - Springer
Thorough literature review of various modern machining processes is presented in this
paper. The main focus is kept on the optimization aspects of various parameters of the …

Prediction of rock mass parameters in the TBM tunnel based on BP neural network integrated simulated annealing algorithm

B Liu, R Wang, G Zhao, X Guo, Y Wang, J Li… - … and Underground Space …, 2020 - Elsevier
The prediction of rock mass parameters is of great significance in ensuring the safety and
efficiency of tunnel boring machine (TBM) tunnel construction. Previous studies have …

Fuzzy logic for modeling machining process: a review

MRH Mohd Adnan, A Sarkheyli, A Mohd Zain… - Artificial Intelligence …, 2015 - Springer
The application of artificial intelligence (AI) techniques in modeling of machining process
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …

Waterjet machining and research developments: A review

X Liu, Z Liang, G Wen, X Yuan - The International Journal of Advanced …, 2019 - Springer
Waterjet machining has attracted great attention in the conditions of hard-to-machine
materials, microstructures, or complicated industrial components, and it has become well …

Parameter optimization of advanced machining processes using cuckoo optimization algorithm and hoopoe heuristic

MA Mellal, EJ Williams - Journal of Intelligent Manufacturing, 2016 - Springer
Unconventional machining processes (communally named advanced or modern machining
processes) are widely used by manufacturing industries. These advanced machining …

Prediction and optimization of process parameters of green composites in AWJM process using response surface methodology

Jagadish, S Bhowmik, A Ray - The International Journal of Advanced …, 2016 - Springer
The objective of this paper is to develop a response surface methodology (RSM)-based
optimization design for process parameter optimization of abrasive water jet machining …

An effective teaching-learning-based cuckoo search algorithm for parameter optimization problems in structure designing and machining processes

J Huang, L Gao, X Li - Applied Soft Computing, 2015 - Elsevier
The optimum selection of parameters is great important for the final quality of product in
modern industrial manufacturing process. In order to achieve highly product quality, an …

Overview of support vector machine in modeling machining performances

AM Deris, AM Zain, R Sallehuddin - Procedia Engineering, 2011 - Elsevier
In machining, the process of modeling and optimization are challenging tasks and need
proper approaches to qualify the requirements in order to produce high quality of products …

Application of multi-objective genetic algorithm (MOGA) optimization in machining processes

NA Zolpakar, SS Lodhi, S Pathak… - … of manufacturing processes, 2020 - Springer
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 …