Language
中文
English

Host

SJTU

Sponsors

Robotics & Automation Committee of CWS


Melted Welding & Equipments Committee of CWS


Editorial Board of Transactions on Intelligent Welding Manufacturing

Co-sponsors

Chinese Welding Society (CWS)


Chinese Mechanical Engineering Society (CMES)


Chinese Welding Association (CWA)


Shanghai Welding Society (SWS)


State Key Laboratory of AWJ,HIT


State Key Laboratory of APRNM,LUT


OMETBAM Laboratory,BIPT


Key Laboratory of LAWJT,DLUT


Shanghai Key Laboratory of MLPM (SJTU)


Dr. Stan A. David, Oak Ridge National Laboratory (ORNL), USA


    Dr. David received his Ph.D. degree in Metallurgical Engineering from the University of Pittsburgh. He was adjunct professor at the University of Pittsburgh and Colorado School of Mines, and a Visiting Professor at Coventry University, Coventry, United Kingdom.
    Currently he is a corporate fellow emeritus and a consultant at Oak Ridge National Laboratory ( ORNL ) In 1977 he joined ORNL and currently retired as a Corporate Fellow of UT-Battelle, and Group Leader of the Materials Joining Group in the Materials Science and Technology Division. He is a Fellow of The Minerals, Metals, and Materials Society (TMS), American Association for the Advancement of Science, ASM International and the American Welding Society. He is the Editor-in-Chief of a new journal, “Science and Technology of Welding and Joining,” published by Taylor and Francis London. UK
    In 2002 he was the recipient of five major awards: UT-Battelle Director’s and Distinguished Engineer Awards; The Arata Prize from the International Insitute of Welding; The Warren F. Savage Memorial Award; and the McKay-Helm Award from the American Welding Society. In 1998 he was the recipient of the Distinguished Alumnus Award from the University of Pittsburgh, and the Warren F. Savage Memorial Award from the American Welding Society. In 1997 he was awarded the Elegant Work Prize of the Institute of Materials, London, for his publication on single crystal welding. In 1996 Dr. David was the recipient of the William Irrgang Memorial Award from the American Welding Society. In 1994 he was the recipient of the Champion H. Mathewson award from The Minerals, Metals and Materials Society. He served as the General Chairman of the International Conference on Trends in Welding Research, sponsored by ASM International in 1986, 1989, 1992, 1995, and 1998. He is the recipient of the 1992 Honorary Membership Award from the American Welding Society. In 1990 he was the recipient of the American Welding Society's Charles H. Jennings Memorial Award for the most valuable contribution to welding metallurgy. He was awarded the 1981 Lincoln Gold Medal by the American Welding Society for best technical contribution of the year. He received the McKay-Helm award in 1980 from the American Welding Society for significant contributions in the field of welding.
    His is currently a consultant to a number of organizations and his current interests are in solidification behavior of welds, welding of intermetallic alloys, phase stability, process modeling and residual stresses in weldments.
    He has contributed to over 350 papers in the fields of solidification and welding metallurgy and is the editor of eight international conference proceedings. He serves on several national committees of professional societies and industrial advisory board.

Presentation:

Intelligent Weld Manufacturing: Role of Integrated Computational Welding Engineering

S. A. David, Jian Chen and Zhili Feng, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA

Abstract:A master welder uses sensory perceptions such as touch, sight and hearing to evaluate the process and take the necessary corrective measures. Success depends on intuition and skills and the procedure is labor intensive and frequently unreliable. The ultimate goal of intelligence weld manufacturing would involve sensing and control of heat source position, weld temperature, weld penetration, defect formation and the ultimately control of microstructure and properties. This involves a solution to a problem with many highly coupled and nonlinear variables. The trend is to use an imaging tool known as intelligent control. This approach enables the user to choose a desirable end factor such as properties, defect control or productivity instead of process parameters such as current voltage or speed to provide for appropriate control of the process. Important elements of integrated manufacturing are sensing and control theory and design, process modeling, and artificial intelligence. Significant progresses are been made in all these areas.
    Integrated computational welding is an emerging field that will aid in the realization of integrated weld manufacturing. Work is underway at Oak Ridge National Laboratory, University of Kentucky and other institutions in the world to develop such an integrated computational model. The presentation will discuss the progress in process modeling and the importance of integrated computational welding engineering.