[HTML][HTML] Mechanical and tribological behavior of particulate reinforced aluminum metal matrix composites–a review

GBV Kumar, CSP Rao, N Selvaraj - Journal of minerals and materials …, 2011 - scirp.org
Aluminum Metal Matrix Composites (MMCs) sought over other conventional materials in the
field of aerospace, automotive and marine applications owing to their excellent improved …

A review of surface quality control technology for robotic abrasive belt grinding of aero-engine blades

B Zhang, S Wu, D Wang, S Yang, F Jiang, C Li - Measurement, 2023 - Elsevier
Higher requirements are being imposed on blade surface quality due to the continuous
improvement of thrust-to-weight ratio and endurance in advanced aero-engines. Robot …

Influence of AlN particles on microstructure, mechanical and tribological behaviour in AA6351 aluminum alloy

V Mohanavel, M Ravichandran - Materials Research Express, 2019 - iopscience.iop.org
In the current trend, the hard ceramic particles reinforced aluminum matrix composites
(AMCs) is extensively being exploited as a composite which shall be utilized for various …

A novel ensemble deep learning model for cutting tool wear monitoring using audio sensors

Z Li, X Liu, A Incecik, MK Gupta, GM Królczyk… - Journal of Manufacturing …, 2022 - Elsevier
Tool wear is an important parameter in the machining because the production, cost and
performance is highly depend upon its performance. Therefore, the monitoring of cutting tool …

Synthesis, characterization and properties of stir cast AA6351-aluminium nitride (AlN) composites

V Mohanavel, K Rajan… - Journal of Materials …, 2016 - cambridge.org
In the present investigation, AA6351 aluminum alloy matrix composites reinforced with
various percentages of AlN particles were fabricated by stir casting technique. The …

Study on prediction of surface quality in machining process

C Lu - Journal of materials processing technology, 2008 - Elsevier
The surface profile and roughness of a machined workpiece are two of the most important
product quality characteristics and in most cases a technical requirement for mechanical …

Prediction of density, porosity and hardness in aluminum–copper-based composite materials using artificial neural network

AM Hassan, A Alrashdan, MT Hayajneh… - Journal of materials …, 2009 - Elsevier
The potential of using feed forward backpropagation neural network in prediction of some
physical properties and hardness of aluminium–copper/silicon carbide composites …

[HTML][HTML] Artificial neural network modeling to effect of reinforcement properties on the physical and mechanical properties of Al2024–B4C composites produced by …

T Varol, A Canakci, S Ozsahin - Composites Part B: Engineering, 2013 - Elsevier
In the present study artificial neural network (ANN) approach was used for the prediction of
effect of physical and mechanical properties of Al2024–B 4 C composites produced by …

Modeling the influence of a process control agent on the properties of metal matrix composite powders using artificial neural networks

A Canakci, S Ozsahin, T Varol - Powder technology, 2012 - Elsevier
An artificial neural network (ANN) model was developed for modeling the effect of the
amount of a process control agent (PCA) on the apparent density, particle size and …

Analysis of machining parameters effects on surface roughness: a review

AM Khorasani, MRS Yazdi… - International Journal of …, 2012 - inderscienceonline.com
This paper aims at presenting the effective parameters on surface roughness in machining
process. Many investigations have been carried out on the offline or online machining …