Establishment of a geometric model for weld beads based on welding parameters

Xiangyu Lv; Xuan Sun; Kaixuan Qi; Chenglin Shi

doi:10.1117/12.3026869

1 April 2024 Establishment of a geometric model for weld beads based on welding parameters

Xiangyu Lv, Xuan Sun, Kaixuan Qi, Chenglin Shi

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 1308224 (2024) https://doi.org/10.1117/12.3026869
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

The forming process of welds involves various factors such as environment, equipment, process, and materials. Among them, the influence of process parameters is the most obvious. Welding process parameters are the basis for affecting the size of the formed part, and each parameter will interact with each other to affect the geometric size of the weld seam. The welding process parameters play a crucial role in the shape of the molten pool, the formation of the weld seam, and the microstructure and properties, as they determine the strength and quality of the welded parts. The welding process parameters of arc welding robots are welding current or wire feeding speed, welding voltage, welding speed, wire diameter, wire extension length, gas flow rate, etc. This article adopts the experimental testing method of secondary universal rotation assembly to establish a secondary regression model between weld bead size and welding voltage, welding current, and welding speed. This model can effectively predict weld bead size, using a reasonable width to improve the quality, fatigue strength, shear strength, etc. of the weld seam.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiangyu Lv, Xuan Sun, Kaixuan Qi, and Chenglin Shi "Establishment of a geometric model for weld beads based on welding parameters", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 1308224 (1 April 2024); https://doi.org/10.1117/12.3026869

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available