Application of machine learning, deep learning and optimization algorithms in geoengineering and geoscience: Comprehensive review and future challenge
W Zhang, X Gu, L Tang, Y Yin, D Liu, Y Zhang - Gondwana Research, 2022 - Elsevier
Abstract The so-called Fourth Paradigm has witnessed a boom during the past two decades,
with large volumes of observational data becoming available to scientists and engineers …
with large volumes of observational data becoming available to scientists and engineers …
A review of the recent development in machining parameter optimization
The optimization process is applied to the machining operations in order to provide
continual improvement in accuracy and quality of produced parts. The effects of machining …
continual improvement in accuracy and quality of produced parts. The effects of machining …
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 …
materials, microstructures, or complicated industrial components, and it has become well …
Dynamic parameters identification for sliding joints of surface grinder based on deep neural network modeling
W Zhang, X Liu, Z Huang, J Zhu - Advances in Mechanical …, 2021 - journals.sagepub.com
Dynamic parameters of joints are indispensable factors affecting performance of machine
tools. In order to obtain the stiffness and damping of sliding joints between the working …
tools. In order to obtain the stiffness and damping of sliding joints between the working …
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 …
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
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 …
optimization design for process parameter optimization of abrasive water jet machining …
Multi-objective optimization of machining and micro-machining processes using non-dominated sorting teaching–learning-based optimization algorithm
Selection of optimum machining parameters is vital to the machining processes in order to
ensure the quality of the product, reduce the machining cost, increasing the productivity and …
ensure the quality of the product, reduce the machining cost, increasing the productivity and …
Prediction of surface roughness and depth of cut in abrasive waterjet milling of alumina ceramic using Machine learning algorithms
R Prabhu, M Kanthababu - Expert Systems with Applications, 2024 - Elsevier
In abrasive waterjet (AWJ) milling process, the ability to accurately predict outcomes such as
surface roughness (R a) and depth of cut (DoC) holds immense significance for cost …
surface roughness (R a) and depth of cut (DoC) holds immense significance for cost …
Multi-objective optimization of abrasive waterjet machining process using Jaya algorithm and PROMETHEE Method
In this work, the process parameters optimization problems of abrasive waterjet machining
process are solved using a recently proposed metaheuristic optimization algorithm named …
process are solved using a recently proposed metaheuristic optimization algorithm named …
A hybrid GA-ANFIS and F-Race tuned harmony search algorithm for Multi-Response optimization of Non-Traditional Machining process
R Devaraj, SK Mahalingam, B Esakki, A Astarita… - Expert Systems with …, 2022 - Elsevier
The present study focuses on development of prediction models with respect to various cut
quality characteristics such as material removal rate, kerf taper and surface roughness for a …
quality characteristics such as material removal rate, kerf taper and surface roughness for a …