Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
[HTML][HTML] Recent advancements in fabrication of metal matrix composites: A systematic review
Metal matrix composites (MMCs) are essential materials in various industries due to superior
properties, such as high strength-to-weight ratios, better corrosion resistance, improved …
properties, such as high strength-to-weight ratios, better corrosion resistance, improved …
[HTML][HTML] Optimization of flow behavior models by genetic algorithm: A case study of aluminum alloy
Prediction of the flow stress of materials using a flow constitutive model provides strong
support for engineering practice and promotes the continuous development of aluminum …
support for engineering practice and promotes the continuous development of aluminum …
Microstructure and mechanical characterization of Al6061 based composite and nanocomposites prepared via conventional and ultrasonic-assisted melt-stirring …
In the current work, Al6061-based composites (2 wt% SiC) and nanocomposites (2 wt% BN,
TiO 2, Al 2 O 3, MWCNT and Graphene) were prepared via a conventional melt stirring and …
TiO 2, Al 2 O 3, MWCNT and Graphene) were prepared via a conventional melt stirring and …
Wear behavior of AZ61 Matrix Hybrid Composite fabricated via Friction stir consolidation: A combined RSM box–Behnken and genetic algorithm optimization
SK Abebe, H Beri, DK Sinha, AA Rajhi… - Journal of Composites …, 2023 - mdpi.com
Friction stir consolidation (FSC) is a promising manufacturing process for metal matrix hybrid
composites (MMHC) with excellent mechanical properties. The originality of this study …
composites (MMHC) with excellent mechanical properties. The originality of this study …
A comparative analysis on prediction performance of regression models during machining of composite materials
Modeling the interrelationships between the input parameters and outputs (responses) in
any machining processes is essential to understand the process behavior and material …
any machining processes is essential to understand the process behavior and material …
Experimental investigation of plain and nano-graphene oxide mixed dielectric for sustainable EDM of Nimonic alloy using Cu and Brass electrode: A comparative …
The current research investigates the machinability of a novel Nimonic alloy through electro-
discharge machining by assessing Material Removal Rate, Tool Wear Rate and Surface …
discharge machining by assessing Material Removal Rate, Tool Wear Rate and Surface …
Investigation on the thermodynamic stability of phases evolved in Al-based hybrid metal matrix composite fabricated using in-situ stir casting route
The objective of this study is to investigate the thermodynamic stability of different phases
evolved during fabrication of Al-12wt% Si-(TiB 2+ Al 2 O 3) hybrid composite using in-situ stir …
evolved during fabrication of Al-12wt% Si-(TiB 2+ Al 2 O 3) hybrid composite using in-situ stir …
Parametric analysis and optimization of aluminium and SS 204 material using micro-EDM system
A Micro EDM machining process is proposed here to machine Aluminium (Grade 201) and
SS204 work materials where the material removal rate and the overcut phenomenon are …
SS204 work materials where the material removal rate and the overcut phenomenon are …
Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging
Direct recycling of aluminum waste is crucial in sustainable manufacturing to mitigate
environmental impact and conserve resources. This work was carried out to study the …
environmental impact and conserve resources. This work was carried out to study the …