[HTML][HTML] Advances in machine learning-aided design of reinforced polymer composite and hybrid material systems
Reinforced composite is a preferred choice of material for the design of industrial lightweight
structures. As of late, composite materials analysis and development utilizing machine …
structures. As of late, composite materials analysis and development utilizing machine …
A review of electroless coatings on non-metals: Bath conditions, properties and applications
The electroless coatings on the non-metal surface possess the desired properties for various
applications in the aerospace, marine, medical, automotive, textile, electronics, household …
applications in the aerospace, marine, medical, automotive, textile, electronics, household …
A Cluster-Profile Comparative Study on Machining AlSi7/63% of SiC Hybrid Composite Using Agglomerative Hierarchical Clustering and K-Means
P Garikapati, K Balamurugan, TP Latchoumi… - Silicon, 2021 - Springer
Clustering techniques are used to group the data based on the structure or through
classification to reduce the mathematical complexity of large datasets. The hierarchical and …
classification to reduce the mathematical complexity of large datasets. The hierarchical and …
A Quantitative Study of Small Dataset Machining by Agglomerative Hierarchical Cluster and K-Medoid
PR Garikapati, K Balamurugan, TP Latchoumi… - … and Biomedical Systems …, 2022 - Springer
An attempt has been made to investigate the possibility of applying the advantages of
hierarchical and partitioning mechanism methods in a small dataset like machining method …
hierarchical and partitioning mechanism methods in a small dataset like machining method …
Role of machine learning in the field of Fiber reinforced polymer composites: A preliminary discussion
Artificial Intelligence has become the backbone of almost every domain of science and
engineering. Machine learning, the branch of AI adopts probabilistic and statistical methods …
engineering. Machine learning, the branch of AI adopts probabilistic and statistical methods …
Fabrication of aluminium carbon nano tube silicon carbide particles based hybrid nano-composite by spark plasma sintering
The present research paper focuses on fabrication of, aluminum (Al)–carbon nano tubes
(CNTs)-silicon carbide particles (SiC P) hybrid nano-composites using element-alloying of …
(CNTs)-silicon carbide particles (SiC P) hybrid nano-composites using element-alloying of …
Aluminum or its alloy matrix hybrid nanocomposites
S Mondal - Metals and Materials International, 2021 - Springer
Aluminum or its alloys are widely used in automobile, aerospace, and marine due to their
low density, good ductility, low cost, corrosion resistance etc. However, aluminum has …
low density, good ductility, low cost, corrosion resistance etc. However, aluminum has …
Metaheuristic approach in machinability evaluation of silicon carbide particle/glass fiber–reinforced polymer matrix composites during electrochemical discharge …
The advanced manufacturing and machining techniques are adopting a population-based
metaheuristic algorithm for production, predicting and decision-making. Using the same …
metaheuristic algorithm for production, predicting and decision-making. Using the same …
Experimental investigation during electrochemical discharge machining (ECDM) of hybrid polymer matrix composites
Silicon carbide particulates-reinforced polymer matrix composites have gained a reputation
among composite materials due to their excellent mechanical properties. But these materials …
among composite materials due to their excellent mechanical properties. But these materials …
Multi-objective Optimization of MWCNT Mixed Electric Discharge Machining of Al–30SiCp MMC Using Particle Swarm Optimization
In the present research work, the multi-walled carbon nanotube (MWCNT) mixed electric
discharge machining of Al–SiC p-based MMC has been proposed. The effect on MWCNT …
discharge machining of Al–SiC p-based MMC has been proposed. The effect on MWCNT …