A review of optimization techniques in metal cutting processes

I Mukherjee, PK Ray - Computers & Industrial Engineering, 2006 - Elsevier
In today's rapidly changing scenario in manufacturing industries, applications of optimization
techniques in metal cutting processes is essential for a manufacturing unit to respond …

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 …

Modelling of solar energy potential in Nigeria using an artificial neural network model

DA Fadare - Applied energy, 2009 - Elsevier
In this study, an artificial neural network (ANN) based model for prediction of solar energy
potential in Nigeria (lat. 4–14° N, log. 2–15° E) was developed. Standard multilayered, feed …

Optimization of machining parameters of Al/SiC-MMC with ANOVA and ANN analysis

N Muthukrishnan, JP Davim - Journal of materials processing technology, 2009 - Elsevier
In recent years, the utilization of metal matrix composites (MMC) materials in many
engineering fields has increased tremendously. Accordingly the need for accurate …

The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria

DA Fadare - Applied Energy, 2010 - Elsevier
Modelling and prediction of wind speed are essential prerequisites in the sitting and sizing
of wind power applications. The profile of wind speed in Nigeria is modelled using artificial …

Prediction of cutting forces in helical end milling fiber reinforced polymers

D Kalla, J Sheikh-Ahmad, J Twomey - International Journal of Machine …, 2010 - Elsevier
Machining of fiber reinforced composites is an important activity in the integration of these
advanced materials into engineering applications. Machining damage due to excessive …

Application of machine vision for tool condition monitoring and tool performance optimization–a review

T Banda, AA Farid, C Li, VL Jauw, CS Lim - The International Journal of …, 2022 - Springer
Rapid tool wear is a major concern of the machining operation, affecting the tooling cost and
dimensional tolerance of the components. In line with Industry 4.0, rapid tool failure can be …

Experimental study on the 3D‐printed plastic parts and predicting the mechanical properties using artificial neural networks

Ö Bayraktar, G Uzun, R Çakiroğlu… - Polymers for Advanced …, 2017 - Wiley Online Library
This study investigates the mechanical properties of 3D‐printed plastic parts fabricated
using Fused Deposition Modeling (FDM). For this purpose, a 3D printer named KASAME …

[HTML][HTML] Machine learning prediction of mechanical properties of braided-textile reinforced tubular structures

W Wang, H Wang, J Zhou, H Fan, X Liu - Materials & Design, 2021 - Elsevier
Braided-textile composites have been applied in various engineering fields and used for
high-efficiency energy absorbers to meet different loading requirements. However, it's …

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 …