Results 41 to 50 of about 80,138 (346)

In-Situ Defect Detection in Laser Powder Bed Fusion by Using Thermography and Optical Tomography—Comparison to Computed Tomography [PDF]

open access: yes, 2020
Among additive manufacturing (AM) technologies, the laser powder bed fusion (L-PBF) is one of the most important technologies to produce metallic components.
Altenburg, Simon J.   +6 more
core   +1 more source

Latest Developments in Industrial Hybrid Machine Tools that Combine Additive and Subtractive Operations [PDF]

open access: yes, 2018
Hybrid machine tools combining additive and subtractive processes have arisen as a solution to increasing manufacture requirements, boosting the potentials of both technologies, while compensating and minimizing their limitations.
Arrizubieta Arrate, Jon Iñaki   +4 more
core   +2 more sources

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

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

A Design Method to Exploit Synergies Between Fiber-Reinforce Composites and Additive Manufactured Processes [PDF]

open access: yes, 2019
This paper proposes a design method for devices composed of long fiber-reinforced composites (FRC) and additive manufactured (AM) parts. Both FRC and AM processes have similar application characteristics: suitable for small production volumes, additive ...
Ethan Goh   +4 more
core   +1 more source

Design of a High Temperature Workstation for the Selective Laser Sintering Process [PDF]

open access: yes, 1991
Mechanical ...
Beaman, J.J.   +3 more
core   +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

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