Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption
Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …
applications in design and manufacturing of more environment-friendly and more …
Deep learning in mechanical metamaterials: from prediction and generation to inverse design
Mechanical metamaterials are meticulously designed structures with exceptional
mechanical properties determined by their microstructures and constituent materials …
mechanical properties determined by their microstructures and constituent materials …
[HTML][HTML] Additive manufacturing of polymeric composites from material processing to structural design
Polymeric composites with multi-functionality offer significant advantages over metals,
including lightweight, high strength and stiffness, corrosion and fatigue resistance, etc …
including lightweight, high strength and stiffness, corrosion and fatigue resistance, etc …
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
Laser beam powder bed fusion (LB-PBF) is a widely-used metal additive manufacturing
process due to its high potential for fabrication flexibility and quality. Its process and …
process due to its high potential for fabrication flexibility and quality. Its process and …
Laser-based additively manufactured polymers: a review on processes and mechanical models
Additive manufacturing (AM) is a broad definition of various techniques to produce layer-by-
layer objects made of different materials. In this paper, a comprehensive review of laser …
layer objects made of different materials. In this paper, a comprehensive review of laser …
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 …
Wastes from the petroleum industries as sustainable resource materials in construction sectors: Opportunities, limitations, and directions
N Asim, M Badiei, M Torkashvand… - Journal of cleaner …, 2021 - Elsevier
Increasing growth of the petroleum industry has resulted in huge amounts of various waste
materials, which need proper disposal and valorization. The complexity, slow rate, and high …
materials, which need proper disposal and valorization. The complexity, slow rate, and high …
[HTML][HTML] Machine learning for predicting fatigue properties of additively manufactured materials
Fatigue properties of materials by Additive Manufacturing (AM) depend on many factors
such as AM processing parameter, microstructure, residual stress, surface roughness …
such as AM processing parameter, microstructure, residual stress, surface roughness …
Digital transformation of thermal and cold spray processes with emphasis on machine learning
K Malamousi, K Delibasis, B Allcock… - Surface and Coatings …, 2022 - Elsevier
Thermal spray technologies continuously evolve to meet new challenges arising from
current and future market needs and requirements. This evolution has been well …
current and future market needs and requirements. This evolution has been well …
Fast and accurate prediction of temperature evolutions in additive manufacturing process using deep learning
Typical computer-based parameter optimization and uncertainty quantification of the
additive manufacturing process usually requires significant computational cost for …
additive manufacturing process usually requires significant computational cost for …