Results 21 to 30 of about 18,411 (193)

Effects of the Deposited Area on the Thermo-Mechanical Characteristics for the Case of Deposition of Inconel 718 Powder on AISI 1045 Substrate Using the DED Process [PDF]

한국정밀공학회지, 2022
Metal additive manufacturing processes such as directed energy deposition process (DED), can be used to manufacture high value metal parts, with improved mechanical properties and efficiency.
Alissultan Aliyev, Kwang-Kyu Lee, Dong-Gyu Ahn   +2 more
doaj   +1 more source

Effect of laser incident energy on the densification and structure–property relationships of additively manufactured CrCoNi medium-entropy alloy

Virtual and Physical Prototyping, 2021
Directed energy deposition (DED) shows outstanding advantages in manufacturing complex and functionally graded parts. This study systematically investigated the effect of laser incident energy on the densification, microstructure, texture evolution and ...
Pengsheng Xue, Lida Zhu, Jinsheng Ning, Yuan Ren, Zhichao Yang, Shuhao Wang, Peihua Xu, Guiru Meng, Zhe Liu, Bo Xin   +9 more
doaj   +1 more source

Directed Energy Deposition via Artificial Intelligence-Enabled Approaches

Complexity, 2022
Additive manufacturing (AM) has been gaining pace, replacing traditional manufacturing methods. Moreover, artificial intelligence and machine learning implementation has increased for further applications and advancements. This review extensively follows
Utkarsh Chadha, Senthil Kumaran Selvaraj, Aakrit Sharma Lamsal, Yashwanth Maddini, Abhishek Krishna Ravinuthala, Bhawana Choudhary, Anirudh Mishra, Deepesh Padala, Shashank M, Vedang Lahoti, Addisalem Adefris, Dhanalakshmi S   +11 more
doaj   +1 more source

Monitoring and Control of the Direct Energy Deposition (DED) Additive Manufacturing Process Using Deep Learning Techniques: A Review. [PDF]

Materials (Basel)
Directed Energy Deposition (DED), as a core branch of additive manufacturing, encompasses two typical processes: laser directed energy deposition (LDED) and wire and arc additive manufacturing (WAAM), which are widely used in manufacturing aerospace ...
Liu Y, Ren H, Zhang Q, Yuan P, Ma H, Li Y, Zhang Y, Ning J.   +7 more
europepmc   +2 more sources

An Overview of the Process Mechanisms in the Laser Powder Directed Energy Deposition

Applied Sciences, 2022
Laser Powder Directed Energy Deposition (LP-DED) is a very powerful Additive Manufacturing process for different applications, such as repair operations and the production of functionally graded material.
Gabriele Piscopo, Eleonora Atzeni, Abdollah Saboori, Alessandro Salmi   +3 more
doaj   +1 more source

Resource efficiency in high-value material manufacturing with directed energy deposition [PDF]

MATEC Web of Conferences
Manufacturing high-value materials often yields excessive waste, high costs, and lengthy lead times using traditional methods. Directed Energy Deposition (DED) offers a sustainable alternative by reducing material waste, machining time, and tool ...
Strauss Jacques, Hagedorn-Hansen Devon, Becker Thorsten H.   +2 more
doaj   +1 more source

A Review of the Anomalies in Directed Energy Deposition (DED) Processes and Potential Solutions

, 2020
50 pages, 52 ...
Liu, Michael, Kumar, Abhishek, Bukkapatnam, Satish, Kuttolamadom, Mathew   +3 more
openaire   +2 more sources

The Reusability of AlSi10Mg Powder in Directed Energy Deposition

Powders
The low deposition efficiency in directed energy deposition (DED) has prompted the reuse of powders that do not fuse to the builds to make additive manufacturing more sustainable.
Parnian Kiani, Alexander D. Dupuy, Kaka Ma, Julie M. Schoenung   +3 more
doaj   +1 more source

Blue laser directed energy deposition of aluminum with synchronously enhanced efficiency and quality

Additive Manufacturing Letters, 2023
Directed energy deposition (DED) of aluminum with infrared lasers faces many processing issues, e.g., poor formability, pore formation, high reflectivity, all lowering the productivity.
An Wang, Qianglong Wei, Sheng Luo, Zijue Tang, Huihui Yang, Yi Wu, Chu Lun Alex Leung, Peter D. Lee, Haowei Wang, Hongze Wang   +9 more
doaj   +1 more source

Multimodal deep learning for enhanced temperature prediction with uncertainty quantification in directed energy deposition (DED) process

Virtual and Physical Prototyping
The accurate and reliable prediction of temperature history is crucial in meeting the ever-increasing demands for part quality and process reliability in metal additive manufacturing (AM).
Adrian Matias Chung Baek, Taehwan Kim, Min-Kyoung Seong, Seungjae Lee, Hogyeong Kang, Eunju Park, Im Doo Jung, Namhun Kim   +7 more
semanticscholar   +1 more source