Prediction of gas metal arc welding parameters based on artificial neural networks-Reference-Cited by-同舟云学术

Prediction of gas metal arc welding parameters based on artificial neural networks

Published:2007-01 Issue:7 Volume:28 Page:2015-2023
ISSN:0261-3069
Container-title:Materials & Design
language:en
Short-container-title:Materials & Design

Author:

Ates Hakan

Publisher

Elsevier BV

Subject

Applied Mathematics,General Mathematics

Reference15 articles.

1. A study on the quality improvement of robotic GMA welding process;Kim;Robot Cim-Int Manuf,2003

2. Welding handbook fundamentals of welding, vol. 1, 7th ed. Miami, FL: American Welding Society; 1981. p. 7–9.

3. Welding handbook welding processes-arc and gas welding and cutting, brazing and soldering, vol. 2, 7th ed. Miami, FL: American Welding Society; 1978. p. 114–6.

4. Experimental research of the effect of hydrogen in argon as a shielding gas in arc welding of high alloy stainless steel;Tusek;Int J Hyd Ener,2000

5. Welding and environmental test condition effect in weldability and strength of Al alloy;Jang;J Mater Process Technol,2005

Cited by 62 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. Using Fundamental Parameters and Artificial Neural Network for Controlling the Laser Welding of Metals;Materials Science Forum;2023-08-18

2. Analysis on Bonding Interface during Solid State Additive Manufacturing between 18Cr-8Ni and 42CrMo4 High Performance Alloys;Metals;2023-02-27

3. Prediction of heat generation effect on force torque and mechanical properties at varying tool rotational speed in friction stir welding using Artificial Neural Network;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2023-02-11

4. Predicting the coating geometries of friction surfaced aluminium cladding over carbon steel by artificial neural network modeling;Materials Today: Proceedings;2023-01

5. Application of Artificial Neural Networks for Corrosion Behavior of Ni–Zn Electrophosphate Coating on Galvanized Steel and Gene Expression Programming Models;Frontiers in Materials;2022-03-21