Optimization of process parameters for direct energy deposited Ti-6Al-4V alloy using neural networks-Reference-Cited by-同舟云学术

Optimization of process parameters for direct energy deposited Ti-6Al-4V alloy using neural networks

Published:2021-04-23 Issue:11-12 Volume:114 Page:3269-3283
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Narayana Pasupuleti Lakshmi,Kim Jae Hyeok,Lee Jaehyun,Choi Seong-Woo,Lee Sangwon,Park Chan Hee,Yeom Jong-Taek,Reddy Nagireddy Gari Subba,Hong Jae-Keun

Funder

Ministry of Trade, Industry and Energy

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00170-021-07115-1.pdf

Reference45 articles.

1. Zenou M, Grainger L (2018) Additive manufacturing of metallic materials. Additive Manufacturing, Elsevier, pp 53–103

2. Kobryn P, Moore E, Semiatin S (2000) The effect of laser power and traverse speed on microstructure, porosity, and build height in laser-deposited Ti-6Al-4V. Scr Mater 43(4):299–305

3. Narayana P, Lee S, Choi S-W, Li C-L, Park CH, Yeom J-T, Reddy N, Hong J-K (2019) Microstructural response of β-stabilized Ti–6Al–4V manufactured by direct energy deposition. J Alloys Compd 811:152021

4. Liu S, Shin YC (2019) Additive manufacturing of Ti6Al4V alloy: A review. Mater Des 164:107552

5. Khorasani A, Gibson I, Awan US, Ghaderi A (2019) The effect of SLM process parameters on density, hardness, tensile strength and surface quality of Ti-6Al-4V. Additive Manufacturing 25:176–186

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Processing windows for Al-357 by LPBF process: a novel framework integrating FEM simulation and machine learning with empirical testing;Rapid Prototyping Journal;2024-08-09

2. Machine Learning for Additive Manufacturing of Functionally Graded Materials;Materials;2024-07-25

3. Microstructural evolution and tensile properties of direct energy deposited Ti-4Al-5Co-0.25Si alloy during heat treatment;Journal of Alloys and Compounds;2024-07

4. Wire arc additive manufacturing method for Ti–6Al–4V alloy to improve the grain refinement efficiency and mechanical properties;Journal of Materials Research and Technology;2024-07

5. Influence of thermal conductivity on evolution of grain morphology during laser-based directed energy deposition of CoCrxFeNi high entropy alloys;Additive Manufacturing;2024-07