Application of soft computing techniques in machining performance prediction and optimization: a literature review

M Chandrasekaran, M Muralidhar, CM Krishna… - … International Journal of …, 2010 - Springer
Machining is one of the most important and widely used manufacturing processes. Due to
complexity and uncertainty of the machining processes, of late, soft computing techniques …

A review on application of soft computing techniques in machining of particle reinforcement metal matrix composites

RA Laghari, J Li, AA Laghari, S Wang - Archives of Computational …, 2020 - Springer
In this paper, a wide literature review of soft computing methods in conventional machining
processes of metal matrix composites is carried out. The tool wear, cutting force along with …

[КНИГА][B] Metal cutting theory and practice

DA Stephenson, JS Agapiou - 2018 - taylorfrancis.com
A Complete Reference Covering the Latest Technology in Metal Cutting Tools, Processes,
and Equipment Metal Cutting Theory and Practice, Third Edition shapes the future of …

Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites

AI Azmi - Advances in Engineering Software, 2015 - Elsevier
The challenges of machining, particularly milling, glass fibre-reinforced polymer (GFRP)
composites are their abrasiveness (which lead to excessive tool wear) and susceptible to …

Force and temperature modelling of bone milling using artificial neural networks

KIA Al-Abdullah, H Abdi, CP Lim, WA Yassin - Measurement, 2018 - Elsevier
The force and temperature of bone milling depends on a large number of parameters
pertaining to the bone tissue and cutting tools. In the current literature, there is a lack of …

Optimization of condition-based maintenance using soft computing

D Goyal, BS Pabla, SS Dhami, K Lachhwani - Neural Computing and …, 2017 - Springer
Due to high costs associated with conventional maintenance strategies, application of soft
computing in monitoring the condition of equipment to predict the health of various …

Intelligent machining methods for Ti6Al4V: A review

S Ribeiro-Carvalho, RBD Pereira… - Proceedings of the …, 2021 - journals.sagepub.com
Digital manufacturing is a necessity to establishing a roadmap for the future manufacturing
systems projected for the fourth industrial revolution. Intelligent features such as behavior …

[КНИГА][B] Machining of nanocomposites

RK Nayak, MK Pradhan, AK Sahoo - 2022 - taylorfrancis.com
Nanocomposites (both heterogeneous and anisotropic) are hard to machine due to their
enhanced properties and there is a need to know about the problems associated with the …

Process monitoring in milling unidirectional composite laminates through wavelet analysis of force signals

R Pahuja, R Mamidala - Procedia Manufacturing, 2018 - Elsevier
The extensive application of composite materials in the aerospace and automobile industry
and significant machining challenges warrant the need of process monitoring techniques …

[PDF][PDF] Artificial neural network modelling of surface quality characteristics in abrasive water jet machining of trip steel sheet

NM Vaxevanidis, A Markopoulos… - Artificial intelligence in …, 2010 - researchgate.net
In this chapter the application of Artificial Neural Networks (ANNs) for the modeling of
surface quality characteristics (kerf geometry and surface roughness) in Abrasive Water Jet …