[HTML][HTML] AI-based optimisation of total machining performance: A review

K Ullrich, M von Elling, K Gutzeit, M Dix… - CIRP Journal of …, 2024 - Elsevier
Advanced modelling and optimisation techniques have been widely used in recent years to
enable intelligent manufacturing and digitalisation of manufacturing processes. In this …

Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review

V Pandiyan, S Shevchik, K Wasmer, S Castagne… - Journal of Manufacturing …, 2020 - Elsevier
Abrasive finishing processes such as grinding, lap** or disc polishing are one of the most
practical means for processing materials to manufacture products with fine surface finish …

Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018)

AK Shukla, M Janmaijaya, A Abraham… - … applications of artificial …, 2019 - Elsevier
Abstract The Engineering Applications of Artificial Intelligence (EAAI) is a journal of very high
repute in the domain of Engineering and Computer Science. This paper gives a broad view …

Multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316

SA Bagaber, AR Yusoff - Journal of cleaner production, 2017 - Elsevier
The machinability of stainless steel has attracted considerable interest because of its high
strength and corrosion resistance. Cutting fluids-based oil are the most unsustainable …

Genetic algorithm-based optimization of cutting parameters in turning processes

DM D'addona, R Teti - Procedia Cirp, 2013 - Elsevier
An optimization paradigm based on genetic algorithms (GA) for the determination of the
cutting parameters in machining operations is proposed. In metal cutting processes, cutting …

Reliability and cost optimization for remanufacturing process planning

Z Jiang, T Zhou, H Zhang, Y Wang, H Cao… - Journal of cleaner …, 2016 - Elsevier
Remanufacturing is a practice of growing importance as it returns the end of life products
back to conditions that is as good as or better than new ones. The increasingly stringent …

A surrogate-assisted evolution strategy for constrained multi-objective optimization

R Datta, RG Regis - Expert Systems with Applications, 2016 - Elsevier
In many real-world optimization problems, several conflicting objectives must be achieved
and optimized simultaneously and the solutions are often required to satisfy certain …

A mixed biomass-based energy supply chain for enhancing economic and environmental sustainability benefits: A multi-criteria decision making framework

A Mirkouei, KR Haapala, J Sessions, GS Murthy - Applied Energy, 2017 - Elsevier
Bioenergy sources have been introduced as a means to address challenges of conventional
energy sources. The uncertainties of supply-side (upstream) externalities (eg, collection and …

Prediction of surface roughness and cutting forces using RSM, ANN, and NSGA-II in finish turning of AISI 4140 hardened steel with mixed ceramic tool

I Meddour, MA Yallese, H Bensouilah, A Khellaf… - … International Journal of …, 2018 - Springer
This paper aims at modeling surface roughness and cutting force in finish turning of AISI
4140 hardened steel with mixed ceramic tool. For this purpose, an attempt is made to …

Multi-objective optimization of machining parameters during dry turning of AISI 304 austenitic stainless steel using grey relational analysis

SK Nayak, JK Patro, S Dewangan… - Procedia Materials …, 2014 - Elsevier
The current study aims at investigating the influence of different machining parameters such
as cutting speed (V c), feed (f) and depth of cut (t) on different performance measures during …