Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges

P Wang, Y Yang, NS Moghaddam - Journal of Manufacturing Processes, 2022 - Elsevier
In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …

Mechanical properties of SLM-printed aluminium alloys: a review

P Ponnusamy, RA Rahman Rashid, SH Masood… - Materials, 2020 - mdpi.com
Selective laser melting (SLM) is a powder bed fusion type metal additive manufacturing
process which is being applied to manufacture highly customised and value-added parts in …

Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms

Q Liu, H Wu, MJ Paul, P He, Z Peng, B Gludovatz… - Acta Materialia, 2020 - Elsevier
In this study, a machine-learning approach based on Gaussian process regression was
developed to identify the optimized processing window for laser powder bed fusion (LPBF) …

Effect of selective laser melting process parameters on the quality of al alloy parts: Powder characterization, density, surface roughness, and dimensional accuracy

AH Maamoun, YF Xue, MA Elbestawi, SC Veldhuis - Materials, 2018 - mdpi.com
Additive manufacturing (AM) of high-strength Al alloys promises to enhance the performance
of critical components related to various aerospace and automotive applications. The key …

[HTML][HTML] Thermal post-processing of AlSi10Mg parts produced by Selective Laser Melting using recycled powder

AH Maamoun, M Elbestawi, GK Dosbaeva… - Additive …, 2018 - Elsevier
The performance enhancement of parts produced using Selective Laser Melting (SLM) is an
important goal for various industrial applications. In order to achieve this goal, obtaining a …

Heat and fluid flow in additive manufacturing–Part II: Powder bed fusion of stainless steel, and titanium, nickel and aluminum base alloys

T Mukherjee, HL Wei, A De, T DebRoy - Computational Materials Science, 2018 - Elsevier
The most important metallurgical variables that affect the structure and properties of
components produced by powder bed fusion (PBF) are examined using a model, proposed …

Processing of Aluminium‐Silicon Alloy with Metal Carbide as Reinforcement through Powder‐Based Additive Manufacturing: A Critical Study

R Raj Mohan, R Venkatraman, S Raghuraman… - …, 2022 - Wiley Online Library
Powder‐based additive manufacturing (PAM) is a potential fabrication approach in
advancing state‐of‐the‐art research to produce intricate components with high precision …

The effect of selective laser melting process parameters on the microstructure and mechanical properties of Al6061 and AlSi10Mg alloys

AH Maamoun, YF Xue, MA Elbestawi, SC Veldhuis - Materials, 2018 - mdpi.com
Additive manufacturing (AM) offers customization of the microstructures and mechanical
properties of fabricated components according to the material selected and process …

Investigation of T4 and T6 heat treatment influences on relative density and porosity of AlSi10Mg alloy components manufactured by SLM

A Majeed, Y Zhang, J Lv, T Peng, Z Atta… - Computers & Industrial …, 2020 - Elsevier
High-quality manufacturing has particular importance in the Industry 4.0 era. Additive
manufacturing (AM) is among the core technologies of industry 4.0, and selective laser …

Power density distribution for laser additive manufacturing (SLM): potential, fundamentals and advanced applications

AS Metel, MM Stebulyanin, SV Fedorov, AA Okunkova - Technologies, 2018 - mdpi.com
Problems with the laser additive manufacturing of metal parts related to its low efficiency are
known to hamper its development and application. The method of selective laser melting of …