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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 …
Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions
A thorough understanding of complex process-structure-property (PSP) relationships in
additive manufacturing (AM) has long been pursued due to its paramount importance in …
additive manufacturing (AM) has long been pursued due to its paramount importance in …
[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 systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management
Additive manufacturing (AM) techniques are maturing and penetrating every aspect of the
industry. With more and more design, process, structure, and property data collected …
industry. With more and more design, process, structure, and property data collected …
Effect of infill density, build direction and heat treatment on the tensile mechanical properties of 3D-printed carbon-fiber nylon composites
This work investigates the effect of infill density with various fill patterns and build direction
with composite type on the tensile mechanical properties of carbon fiber reinforced 3D …
with composite type on the tensile mechanical properties of carbon fiber reinforced 3D …
[HTML][HTML] Predicting stress–strain curves using transfer learning: Knowledge transfer across polymer composites
The engineering stress–strain curve of a material allows one to determine mechanical
properties such as elastic modulus, strength, and toughness. While machine learning has …
properties such as elastic modulus, strength, and toughness. While machine learning has …
Development of ensemble machine learning approaches for designing fiber-reinforced polymer composite strain prediction model
Over the past few decades, it has been observed a remarkable progression in the
development of computer aid models in the field of civil engineering. Machine learning …
development of computer aid models in the field of civil engineering. Machine learning …
The use of machine learning in process–structure–property modeling for material extrusion additive manufacturing: a state-of-the-art review
Since its first appearance in the 1980s, additive manufacturing has become increasingly
popular. Complex parts can be produced with high quality, minimal waste, and a variety of …
popular. Complex parts can be produced with high quality, minimal waste, and a variety of …
Effect of build orientation and raster pattern on the fracture behavior of carbon fiber reinforced polymer composites fabricated by additive manufacturing
Additive manufacturing (AM) process parameters highly affect the mechanical and fracture
properties of additively manufactured carbon fiber reinforced polymer (CFRP) composites. In …
properties of additively manufactured carbon fiber reinforced polymer (CFRP) composites. In …
[HTML][HTML] Investigation of 3D printed lightweight hybrid composites via theoretical modeling and machine learning
Hybrid composites combine two or more different fillers to achieve multifunctional or
advanced material properties, such as lightweight and enhanced mechanical properties …
advanced material properties, such as lightweight and enhanced mechanical properties …