Results 41 to 50 of about 11,008 (254)

A Review on Metal Binder Jetting 3D Printing [PDF]

open access: yesE3S Web of Conferences, 2023
Binder jetting (BJ) is one of the major metal additive manufacturing (AM) technology used for the production of intricate metal components using a layer-by-layer approach.
Venukumar Sarila   +4 more
doaj   +1 more source

MECHANICAL PROPERTIES OF HONEYCOMB STRUCTURED ZR-BASED BULK METALLIC GLASS SPECIMENS FABRICATED BY LASER POWDER BED FUSION

open access: yesSouth African Journal of Industrial Engineering, 2019
Laser powder bed fusion of bulk metallic glasses offers great potential to overcome the existing restrictions of the geometrical size and complexity of bulk metallic glasses in conventional manufacturing routes due to high cooling rates during laser ...
Wegner, J.   +5 more
doaj   +1 more source

Dimensionless process development for lattice structure design in laser powder bed fusion

open access: yesMaterials & Design, 2020
Laser powder bed fusion enables the fabrication of complex components such as thin-walled cellular structures including lattice or honeycomb structures.
Alexander Großmann   +7 more
doaj   +1 more source

A numerical study on the packing quality of fibre/polymer composite powder for powder bed fusion additive manufacturing

open access: yesVirtual and Physical Prototyping, 2021
A discrete element model has been developed to simulate the packing process of fibre/polymer composite powder for powder bed fusion additive manufacturing.
Pengfei Tan   +3 more
doaj   +1 more source

Multimetal Research in Powder Bed Fusion: A Review

open access: yesMaterials, 2023
This article discusses the different forms of powder bed fusion (PBF) techniques, namely laser powder bed fusion (LPBF), electron beam powder bed fusion (EB-PBF) and large-area pulsed laser powder bed fusion (L-APBF). The challenges faced in multimetal additive manufacturing, including material compatibility, porosity, cracks, loss of alloying elements
Yao, Liming   +4 more
openaire   +2 more sources

Material-agnostic machine learning approach enables high relative density in powder bed fusion products

open access: yesNature Communications, 2023
This study introduces a method that is applicable across various powder materials to predict process conditions that yield a product with a relative density greater than 98% by laser powder bed fusion.
Jaemin Wang   +4 more
doaj   +1 more source

In Situ Monitoring Systems of The SLM Process: On the Need to Develop Machine Learning Models for Data Processing

open access: yesCrystals, 2020
In recent years, technological advancements have led to the industrialization of the laser powder bed fusion process. Despite all of the advancements, quality assurance, reliability, and lack of repeatability of the laser powder bed fusion process still ...
Pinku Yadav   +4 more
doaj   +1 more source

A layer-wise multi-defect detection system for powder bed monitoring: Lighting strategy for imaging, adaptive segmentation and classification

open access: yesMaterials & Design, 2021
Powder bed defects usually inevitably appear in the process of powder spreading during laser powder bed fusion owing to the characteristics of the powder material and the performance of the spreading equipment. This may lead to instability with regard to
Binbin Shi, Zhehan Chen
doaj   +1 more source

Multimaterial powder bed fusion techniques

open access: yesRapid prototyping journal, 2022
Purpose: This study aims to provide a comprehensive overview of the current state of the art in powder bed fusion (PBF) techniques for additive manufacturing of multiple materials. It reviews the emerging technologies in PBF multimaterial printing and summarizes the latest simulation approaches for modeling them.
Mehrpouya, Mehrshad   +5 more
openaire   +4 more sources

Actual state-of-the-art of electron beam powder bed fusion

open access: yesEuropean Journal of Materials, 2022
As a relatively young additive manufacturing technology, Electron Beam Powder Bed Fusion (EB-PBF) attracts increasing attention in academics and industry.
Zongwen Fu, Carolin Körner
doaj   +1 more source

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