Additive manufacturing of nickel-based superalloys: A state-of-the-art review on process-structure-defect-property relationship
Fusion-based additive manufacturing (AM) has significantly grown to fabricate Nickel-based
superalloys with design freedom across multiple length scales. Several phenomena such as …
superalloys with design freedom across multiple length scales. Several phenomena such as …
Review on field assisted metal additive manufacturing
Additive manufacturing (AM) offers unprecedented design freedom and manufacturing
flexibility for processing complex components. Despite the numerous advantages of AM over …
flexibility for processing complex components. Despite the numerous advantages of AM over …
Role of porosity defects in metal 3D printing: Formation mechanisms, impacts on properties and mitigation strategies
Abstract Metal 3D printing (3DP), a state-of-the-art manufacturing technology that brings the
potential to fabricate complex structures at low cost and reduced energy consumption, has …
potential to fabricate complex structures at low cost and reduced energy consumption, has …
Control of grain structure, phases, and defects in additive manufacturing of high-performance metallic components
T Mukherjee, JW Elmer, HL Wei, TJ Lienert… - Progress in Materials …, 2023 - Elsevier
The properties and serviceability of 3D-printed metal parts depend on a variety of attributes.
These include the chemical composition, phases, morphology, spatial distributions of grain …
These include the chemical composition, phases, morphology, spatial distributions of grain …
Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution
Additive manufacturing facilitates producing of complex parts due to its design freedom in a
wide range of applications. Despite considerable advancements in additive manufacturing …
wide range of applications. Despite considerable advancements in additive manufacturing …
Machine learning model towards evaluating data gathering methods in manufacturing and mechanical engineering
Abstract Supervised Machine Learning (ML) models require extensive training data to
properly approximate the behavior of complex mechanical processes and systems. Real …
properly approximate the behavior of complex mechanical processes and systems. Real …
A state-of-the-art review on machine learning-based multiscale modeling, simulation, homogenization and design of materials
Multiscale simulation and homogenization of materials have become the major
computational technology as well as engineering tools in material modeling and material …
computational technology as well as engineering tools in material modeling and material …
Machine learning process evaluating damage classification of composites
Composite materials have tremendous and ever-increasing applications in complex
engineering systems; thus, it is important to develop non-destructive and efficient condition …
engineering systems; thus, it is important to develop non-destructive and efficient condition …
[HTML][HTML] Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process …
Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …
Alloy design for laser powder bed fusion additive manufacturing: a critical review
Metal additive manufacturing (AM) has been extensively studied in recent decades. Despite
the significant progress achieved in manufacturing complex shapes and structures …
the significant progress achieved in manufacturing complex shapes and structures …