Results 111 to 120 of about 16,879 (308)

Mesoscale Simulation of Laser Powder Bed Fusion with an Increased Layer Thickness for AlSi10Mg Alloy

Journal of Manufacturing and Materials Processing
Low performance is considered one of the main drawbacks of laser powder bed fusion (LPBF) technology. In the present work, the effect of the AlSi10Mg powder layer thickness on the laser melting process was investigated to improve the LPBF building rate ...
Maria Bogdanova, Stanislav Chernyshikhin, Andrey Zakirov, Boris Zotov, Leonid Fedorenko, Sergei Belousov, Anastasia Perepelkina, Boris Korneev, Maria Lyange, Ivan Pelevin, Inna Iskandarova, Ella Dzidziguri, Boris Potapkin, Alexander Gromov   +13 more
doaj   +1 more source

Real‐time fault detection in multicomponent nuclear‐waste slurries through data fusion of spectroscopic sensors

AIChE Journal, EarlyView.
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse, Ronald W. Rousseau, Martha A. Grover   +2 more
wiley   +1 more source

A Data‐Centric Approach to Quantifying the Forward and Inverse Relationship Between Laser Powder Bed Fusion Process Parameters and as‐Built Surface Roughness of IN718 Parts

Advanced Intelligent Systems, EarlyView.
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley   +1 more source

The optimization of martensitic stainless steel composition to reduce hot tearing after laser powder bed fusion

, 2022
Lingzhi Wu, Cong Zhang, Bin Xu, Liu Zhang, Haiqing Yin, Zengqiang Zhang, Xue Jiang, Yongwei Wang, Jie Su, Geng Liu, Dil Faraz Khan, Xuanhui Qu   +11 more
openalex   +1 more source

Surface Morphology, Compressive Behavior, and Energy Absorption of Graded Triply Periodic Minimal Surface 316L Steel Cellular Structures Fabricated by Laser Powder Bed Fusion [PDF]

, 2022
Bharath Bhushan Ravichander, Shweta Hanmant Jagdale, Golden Kumar   +2 more
openalex   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Optimization in 3D Printable Silicone DIW Ink Formulations: Gelling Behavior Control and the Use of Carbon Nanotubes

Journal of Applied Polymer Science, EarlyView.
DIW 3D printing of silicone materials can be optimized by controlling their gelling behavior or curing mechanism with carbon nanotubes. This precision control results in high‐performance elastomer materials and is a model study for characterization methods.
G. M. Fazley Elahee, Xiang Cheng, Lucio R. De Souza, Eugene B. Caldona, Joao Maia, Rigoberto C. Advincula   +5 more
wiley   +1 more source

Fatigue crack growth characterization of Inconel 718 after additive manufacturing by laser powder bed fusion and heat treatment

, 2022
Konrad Gruber, Patrycja Szymczyk‐Ziółkowska, Szymon Dziuba, Szymon Duda, Paweł Zielonka, Stanislav Seitl, Grzegorz Lesiuk   +6 more
openalex   +1 more source

Marine silicon for biomedical sustainability

BMEMat, EarlyView.
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han, Zhibo Yang, Wei Xia, Chengtie Wu   +3 more
wiley   +1 more source

Integrating Phase Field Modeling and Machine Learning to Develop Process-Microstructure Relationships in Laser Powder Bed Fusion of IN718 [PDF]

Li Ma, Hudson Liu, Maureen Williams, Lyle E. Levine, Ali Ramazani   +4 more
openalex   +1 more source