Application and performance of machine learning techniques in manufacturing sector from the past two decades: A review
UMR Paturi, S Cheruku - Materials Today: Proceedings, 2021 - Elsevier
Advancement in technology has created wide opportunities for the researchers to utilize
artificial intelligence in various fields. Numerous attempts have been made in the use of …
artificial intelligence in various fields. Numerous attempts have been made in the use of …
Advanced polishing, grinding and finishing processes for various manufacturing applications: a review
ZW Zhong - Materials and Manufacturing Processes, 2020 - Taylor & Francis
This article reviews advanced polishing, grinding and finishing processes for challenging
manufacturing applications. The topics covered are machining of advanced alloys; …
manufacturing applications. The topics covered are machining of advanced alloys; …
Processes for environmentally friendly and/or cost-effective manufacturing
ZW Zhong - Materials and Manufacturing Processes, 2021 - Taylor & Francis
This article reviews environmentally friendly and/or cost-effective processes. Topics covered
are minimum-quantity-lubrication (MQL), cryogenic-cooling and near-dry-machining; …
are minimum-quantity-lubrication (MQL), cryogenic-cooling and near-dry-machining; …
A PSO-ANN intelligent hybrid model to predict the compressive strength of limestone fillers roller compacted concrete (RCC) to build dams
The compressive strength of the roller-compacted concrete (RCC) is an essential indicator of
quality when designing dams. RCC is optimized in most cases through experimental studies …
quality when designing dams. RCC is optimized in most cases through experimental studies …
Surface roughness of machined wood and advanced engineering materials and its prediction: a review
ZW Zhong - Advances in Mechanical Engineering, 2021 - journals.sagepub.com
This article discusses the surface roughness of wood and advanced engineering materials
after machining and its prediction. The topics are surface roughness of precision-machined …
after machining and its prediction. The topics are surface roughness of precision-machined …
MQL strategies applied in Ti-6Al-4V alloy milling—comparative analysis between experimental design and artificial neural networks
NW Paschoalinoto, GF Batalha, EC Bordinassi… - Materials, 2020 - mdpi.com
This paper presents a study of the Ti-6Al-4V alloy milling under different lubrication
conditions, using the minimum quantity lubrication approach. The chosen material is widely …
conditions, using the minimum quantity lubrication approach. The chosen material is widely …
ANN prediction model of concrete fatigue life based on GRW-DBA data augmentation
J Shi, W Zhang, Y Zhao - Applied Sciences, 2023 - mdpi.com
In order to improve the prediction accuracy of the machine learning model for concrete
fatigue life using small datasets, a group calculation and random weight dynamic time …
fatigue life using small datasets, a group calculation and random weight dynamic time …
Prediction of Cutting Forces for Machine Tools by Neural Networks
The research objective is focused on developing artificial neural network (ANN) based
approach to estimate optimal cutting forces based on various input parameters during …
approach to estimate optimal cutting forces based on various input parameters during …
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The research objective is focused on developing artificial neural network (ANN) based
approach to estimate optimal cutting forces based on various input parameters during …
approach to estimate optimal cutting forces based on various input parameters during …
Optimizing Ti-6Al-4V Milling under MQL Conditions Using SVR, NSGA-II, and TOPSIS
This chapter presents an experimental investigation and optimization of milling parameters
for the Ti-6Al-4V alloy, including cutting speed, feed rate, depth of cut, and minimum quantity …
for the Ti-6Al-4V alloy, including cutting speed, feed rate, depth of cut, and minimum quantity …