A review on conventional and nonconventional machining of SiC particle-reinforced aluminium matrix composites

JP Chen, L Gu, GJ He - Advances in Manufacturing, 2020 - Springer
Among the various types of metal matrix composites, SiC particle-reinforced aluminum
matrix composites (SiC p/Al) are finding increasing applications in many industrial fields …

Resource savings by sustainability assessment and energy modelling methods in mechanical machining process: A critical review

M Sarıkaya, MK Gupta, I Tomaz, GM Krolczyk… - Journal of Cleaner …, 2022 - Elsevier
In machining processes, there are contradictions between high efficiency and
environmentally-friendly machining. This indicated that there is a major potential for …

Taguchi S/N based optimization of machining parameters for surface roughness, tool wear and material removal rate in hard turning under MQL cutting condition

M Mia, PR Dey, MS Hossain, MT Arafat… - Measurement, 2018 - Elsevier
Minimum quantity lubrication (MQL) is adorned with improved machining performance and
environmental sustainability. In this context, this paper presents the study of roughness …

[HTML][HTML] Experimental study and analysis of machinability characteristics of metal matrix composites during drilling

E Salur, A Aslan, M Kuntoglu, A Gunes… - Composites Part B …, 2019 - Elsevier
In this study, the metal matrix composite materials were produced by hot press with various
production parameters. The drilling experiments were performed on computer numerical …

Proper estimation of surface roughness using hybrid intelligence based on artificial neural network and genetic algorithm

C Boga, T Koroglu - Journal of manufacturing processes, 2021 - Elsevier
The surface roughness is a crucial index that is commonly used in the machining process to
evaluate the final product quality. This paper investigates the effect of different machining …

Minimization of surface roughness in 5-axis milling of turbine blades

M Soori, M Asmael, A Khan… - Mechanics Based Design …, 2023 - Taylor & Francis
The Reynolds number of turbine blades can be reduced by decreasing the surface
roughness of the blades, which decreases energy loss in energy production systems. Due to …

Effect of time-controlled MQL pulsing on surface roughness in hard turning by statistical analysis and artificial neural network

M Mia, MH Razi, I Ahmad, R Mostafa… - … International Journal of …, 2017 - Springer
The machined surface quality is adversely influenced by thermal effect which requires
pacification of temperature by coolant. Lately, excess use of coolant has been found as …

Tool Wear Prediction Based on Artificial Neural Network during Aluminum Matrix Composite Milling

M Wiciak-Pikuła, A Felusiak-Czyryca, P Twardowski - Sensors, 2020 - mdpi.com
This article deals with the phenomenon of tool wear prediction in face milling of aluminum
matrix composite materials (AMC), class as hard-to-cut materials. Artificial neural networks …

Minimization of surface roughness and machining deformation in milling of Al alloy thin-walled parts

DJ Cheng, F Xu, SH Xu, CY Zhang, SW Zhang… - International Journal of …, 2020 - Springer
This study focused on investigating the surface roughness in the feed direction (R a-Fd),
surface roughness in the transverse direction (R a-Td), and thin-walled parts deformation …

Material characteristics and machinability of metal matrix composite materials: A critical review on recent advances and future perspectives

RA Laghari, M Jamil, AA Laghari, AM Khan - Measurement, 2025 - Elsevier
Metal matrix composites (MMCs) are used in a variety of industries, their applications
including the major sectors such as automotive, medical, electrical, sports, electronics, and …