Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
State-of-the-art review on recent advances in polymer engineering: modeling and optimization through response surface methodology approach
Composites, blends, and polymer membranes are all examples of processes that may
benefit from response surface methodology (RSM) to optimize material characteristics. RSM …
benefit from response surface methodology (RSM) to optimize material characteristics. RSM …
[HTML][HTML] Modelling and optimisation of hardness behaviour of sintered Al/SiC composites using RSM and ANN: A comparative study
In present work, Aluminium matrix composites reinforced with x wt.% SiC (x= 5, 7.5 and 10)
microparticles were synthesised by powder metallurgy route. The microhardness (VHN) of …
microparticles were synthesised by powder metallurgy route. The microhardness (VHN) of …
[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 …
Properties prediction of composites based on machine learning models: A focus on statistical index approaches
Composites have a wide range of applications across various industries due to their high
strength-to-weight ratio, corrosion resistance, durability, versatility, and lightweight …
strength-to-weight ratio, corrosion resistance, durability, versatility, and lightweight …
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 …
An integration of RSM and ANN modelling approach for prediction of FSW joint properties in AA7178/AA5456 alloys
S Jeyakrishnan, S Vijayakumar… - Canadian …, 2025 - Taylor & Francis
The selection of optimal process parameters in Friction stir welding is vital for achieving high-
quality welds. This study utilises Response Surface Methodology (RSM) to statistically …
quality welds. This study utilises Response Surface Methodology (RSM) to statistically …
An experimental and metamodeling approach to tensile properties of natural fibers composites
The present work presents an analysis of the tensile properties of Palm as well as Luffa
natural fiber composites (NFC) in high density polyethylene (HDPE), polypropylene (PP) …
natural fiber composites (NFC) in high density polyethylene (HDPE), polypropylene (PP) …
A study of added sic powder in kerosene for the blind square hole machining of cfrp using electrical discharge machining
Abstract Carbon Fiber Reinforced Polymers (CFRPs) have been applied potentially for
various application components owing to their lightweight and better mechanical properties …
various application components owing to their lightweight and better mechanical properties …
[HTML][HTML] Application of artificial intelligence in composite materials
Z Junming, Y Weidong, L Yan - 力学进展, 2021 - lxjz.cstam.org.cn
Composite materials have become the major materials of light-weight structure due to their
light weight, high strength, high modulus, and strong designability. However, as the …
light weight, high strength, high modulus, and strong designability. However, as the …