skip to main content

DOE PAGESDOE PAGES

Title: Intelligent Weld Manufacturing: Role of Integrated Computational Welding Engineering

A master welder uses his sensory perceptions to evaluate the process and connect them with his/her knowledge base to take the necessary corrective measures with his/her acquired skills to make a good weld. All these actions must take place in real time. Success depends on intuition and skills, and the procedure is labor-intensive and frequently unreliable. The solution is intelligent weld manufacturing. The ultimate goal of intelligent weld manufacturing would involve sensing and control of heat source position, weld temperature, weld penetration, defect formation and ultimately control of microstructure and properties. This involves a solution to a problem (welding) with many highly coupled and nonlinear variables. The trend is to use an emerging tool known as intelligent control. This approach enables the user to choose a desirable end factor such as properties, defect control, or productivity to derive the selection of process parameters such as current, voltage, or speed to provide for appropriate control of the process. Important elements of intelligent manufacturing are sensing and control theory and design, process modeling, and artificial intelligence. Significant progress has been made in all these areas. Integrated computational welding engineering (ICWE) is an emerging field that will aid in the realization of intelligentmore » weld manufacturing. The paper will discuss the progress in process modeling, microstructure, properties, and process control and automation and the importance of ICWE. Also, control and automation strategies for friction stir welding will be discussed.« less
Authors:
 [1] ; ORCiD logo [1] ; ORCiD logo [1] ; ORCiD logo [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
Transactions on Intelligent Welding Manufacturing
Additional Journal Information:
Journal Volume: 1; Journal Issue: 2; Journal ID: ISSN 2520-8519
Publisher:
Springer
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING
OSTI Identifier:
1429199

David, Stan A., Chen, Jian, Feng, Zhili, and Gibson, Brian T.. Intelligent Weld Manufacturing: Role of Integrated Computational Welding Engineering. United States: N. p., Web. doi:10.1007/978-981-10-7043-3_1.
David, Stan A., Chen, Jian, Feng, Zhili, & Gibson, Brian T.. Intelligent Weld Manufacturing: Role of Integrated Computational Welding Engineering. United States. doi:10.1007/978-981-10-7043-3_1.
David, Stan A., Chen, Jian, Feng, Zhili, and Gibson, Brian T.. 2017. "Intelligent Weld Manufacturing: Role of Integrated Computational Welding Engineering". United States. doi:10.1007/978-981-10-7043-3_1. https://www.osti.gov/servlets/purl/1429199.
@article{osti_1429199,
title = {Intelligent Weld Manufacturing: Role of Integrated Computational Welding Engineering},
author = {David, Stan A. and Chen, Jian and Feng, Zhili and Gibson, Brian T.},
abstractNote = {A master welder uses his sensory perceptions to evaluate the process and connect them with his/her knowledge base to take the necessary corrective measures with his/her acquired skills to make a good weld. All these actions must take place in real time. Success depends on intuition and skills, and the procedure is labor-intensive and frequently unreliable. The solution is intelligent weld manufacturing. The ultimate goal of intelligent weld manufacturing would involve sensing and control of heat source position, weld temperature, weld penetration, defect formation and ultimately control of microstructure and properties. This involves a solution to a problem (welding) with many highly coupled and nonlinear variables. The trend is to use an emerging tool known as intelligent control. This approach enables the user to choose a desirable end factor such as properties, defect control, or productivity to derive the selection of process parameters such as current, voltage, or speed to provide for appropriate control of the process. Important elements of intelligent manufacturing are sensing and control theory and design, process modeling, and artificial intelligence. Significant progress has been made in all these areas. Integrated computational welding engineering (ICWE) is an emerging field that will aid in the realization of intelligent weld manufacturing. The paper will discuss the progress in process modeling, microstructure, properties, and process control and automation and the importance of ICWE. Also, control and automation strategies for friction stir welding will be discussed.},
doi = {10.1007/978-981-10-7043-3_1},
journal = {Transactions on Intelligent Welding Manufacturing},
number = 2,
volume = 1,
place = {United States},
year = {2017},
month = {12}
}