2013
DOI: 10.4028/www.scientific.net/amm.380-384.4311
|View full text |Cite
|
Sign up to set email alerts
|

Research on Cladding Process of Metal Powder during Laser Additive Manufacturing

Abstract: The process of laser additive manufacturing consists of depositing successive layers of molten metal powder to create a near-net shape. A high-power laser is used to melt incoming metal powder, which forms a molten pool on the surface. As the latter moves beneath the laser, this newly created molten pool solidifies. By properly controlling the trajectory of deposition tracks, one can create a diverse range of shapes with varying complexities. In nature, the laser additive manufacturing technology is a continuo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
3
1
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 4 publications
0
6
0
Order By: Relevance
“…In addition, there has been significant efforts targeting quality control for low-cost FFF 3D printers both informally [77][78][79] and formally [80][81][82] to enable real-time control, which when widespread will only enhance the conclusions in this study.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, there has been significant efforts targeting quality control for low-cost FFF 3D printers both informally [77][78][79] and formally [80][81][82] to enable real-time control, which when widespread will only enhance the conclusions in this study.…”
Section: Discussionmentioning
confidence: 99%
“…While this is the most common technique, besides post-processing, to optimize parts, it depends mostly on the experience and intuition of the user and is usually not applicable to general problems using SLM/DMLS. While many case studies and part-and machine-specific solutions have been published, the best documented and most widely-cited solutions that analyze residual stresses were those by Kruth et al [32], Carter et al [78], Zhang et al [79], Abe et al [55], Bo et al [80], Shiomi et al [81], Yasa and Kruth [82] and Mumtaz and Hopkinson [83]. Kruth et al and Carter et al explored the effects on the thermal stresses of modifying the length and orientation of the laser scan vectors, performing pre-and post-scanning and island scanning, varying the layer thickness, heating the base plate and heat treating the final parts.…”
Section: Process Input Controlmentioning
confidence: 99%
“…In 2021, Feng.Y.R, elaborated the basic additive manufacturing process in the literature [10], and made a comprehensive summary of the application of domestic 3D metal printing technology in the development of petroleum logging instruments, and studied the application in threading curved holes, turbines and structural improvement. Based on the research status of metal additive manufacturing technology, material and structure, Zhang C R analyzed the current research hotspots and development trends in literature [11]. In literature [12], Liu B Y.etc reviewed the research progress of structural topology optimization design for metal-additive manufacturing technology, from the perspective of metal-additive manufacturing constraints, the topology optimization methods considering geometric constraints, forming constraints and material performance constraints are summarized.…”
Section: Introductionmentioning
confidence: 99%
“…While this is the most common technique, besides post-processing, to optimize parts, it depends mostly on the experience and intuition of the user and is usually not applicable to general problems using SLM/DMLS. While many case studies and part-and machine-specific solutions have been published, the best documented and most widely-cited solutions that analyze residual stresses were those by Kruth et al [32], Carter et al [78], Zhang et al [79], Abe et al [55], Bo et al [80], Shiomi et al [81], Yasa and Kruth [82] and Mumtaz and Hopkinson [83].…”
Section: Process Input Controlmentioning
confidence: 99%