[HTML][HTML] Review on residual stresses in metal additive manufacturing: formation mechanisms, parameter dependencies, prediction and control approaches

S Chen, H Gao, Q Wu, Z Gao, X Zhou - Journal of materials research and …, 2022 - Elsevier
Metal additive manufacturing (MAM) technology has great application potential in the
aerospace, medical and energy fields with its high material utilization efficiency to achieve …

An overview of residual stresses in metal powder bed fusion

JL Bartlett, X Li - Additive Manufacturing, 2019 - Elsevier
Metal additive manufacturing (AM) has garnered tremendous research and industrial
interest in recent years; in the field, powder bed fusion (PBF) processing is the most common …

Additive manufacturing of metallic components–process, structure and properties

T DebRoy, HL Wei, JS Zuback, T Mukherjee… - Progress in materials …, 2018 - Elsevier
Since its inception, significant progress has been made in understanding additive
manufacturing (AM) processes and the structure and properties of the fabricated metallic …

In-situ measurement and monitoring methods for metal powder bed fusion: an updated review

M Grasso, A Remani, A Dickins… - Measurement …, 2021 - iopscience.iop.org
The possibility of using a variety of sensor signals acquired during metal powder bed fusion
processes, to support part and process qualification and for the early detection of anomalies …

Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic …

L Scime, D Siddel, S Baird, V Paquit - Additive Manufacturing, 2020 - Elsevier
Increasing industry acceptance of powder bed metal Additive Manufacturing requires
improved real-time detection and classification of anomalies. Many of these anomalies, such …

[HTML][HTML] Effect of scanning strategies on residual stress and mechanical properties of Selective Laser Melted Ti6Al4V

H Ali, H Ghadbeigi, K Mumtaz - Materials Science and Engineering: A, 2018 - Elsevier
Abstract During the Selective Laser Melting (SLM) process large temperature gradients can
form, generating a mismatch in elastic deformation that can lead to high levels of residual …

A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process

L Scime, J Beuth - Additive Manufacturing, 2018 - Elsevier
In-situ detection of processing defects is a critical challenge for Laser Powder Bed Fusion
Additive Manufacturing. Many of these defects are related to interactions between the …

[HTML][HTML] A review on distortion and residual stress in additive manufacturing

D Xie, F Lv, Y Yang, L Shen, Z Tian, C Shuai… - Chinese Journal of …, 2022 - Elsevier
Additive manufacturing (AM) has gained extensive attention and tremendous research due
to its advantages of fabricating complex-shaped parts without the need of casting mold …

[HTML][HTML] Scanning strategies effect on temperature, residual stress and deformation by multi-laser beam powder bed fusion manufacturing

W Zhang, M Tong, NM Harrison - Additive Manufacturing, 2020 - Elsevier
Abstract Laser beam Powder Bed Fusion (PBF-LB) is an increasingly attractive technology
due to its capability of manufacturing complex and customised metal parts. However, the …

Invited review article: Metal-additive manufacturing—Modeling strategies for application-optimized designs

A Bandyopadhyay, KD Traxel - Additive manufacturing, 2018 - Elsevier
Next generation, additively-manufactured metallic parts will be designed with application-
optimized geometry, composition, and functionality. Manufacturers and researchers have …