The mechanical properties of welding material is correlative with the chemical composition Artificial neural network (ANN) program to predict mechanical properties — yield strength, tensile strength, elongation and average Charpy impact toughness — of welding material is established by Visual C + + 6.0 based on improved BP arithmetic with momentum factor, in which one input layer with 13 nodes, one hidden layer with 23 nodes, one output layer with 4 nodes, and Sigmoid activation function are included. The 20 samples are from the experimental data of semi-automatic welding material of X70. The average maximum relative error of the 4 mechanical properties is less than 0.5%. Based on the program, the influence of the chemical composition, such as C, S, P, Si, Mn, Cr, Ni and Al on the mechanical properties is analyzed. The results show that the different element has different influence on the mechanical properties. For non-metallic elements, the mechanical properties are becoming worse with the increase of composition, in which the influence of C is primary, then P and then S. For metallic elements, the influence is greater and more complex than that of non-metallic ones.
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ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing
October 7–10, 2008
Evanston, Illinois, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-4851-7
PROCEEDINGS PAPER
The Influence of the Chemical Composition of Welding Material Used in Semi-Automatic Welding for Pipeline Steel on Mechanical Properties
Lu Bai,
Lu Bai
University of Science and Technology - Beijing, Beijing, China
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Lige Tong,
Lige Tong
University of Science and Technology - Beijing, Beijing, China
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Hongsheng Ding,
Hongsheng Ding
University of Science and Technology - Beijing, Beijing, China
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Li Wang,
Li Wang
University of Science and Technology - Beijing, Beijing, China
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Qilan Kang,
Qilan Kang
University of Science and Technology - Beijing, Beijing, China
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Shiwu Bai
Shiwu Bai
Pipeline Research Institute of China National Petroleum Corporation, Langfang, China
Search for other works by this author on:
Lu Bai
University of Science and Technology - Beijing, Beijing, China
Lige Tong
University of Science and Technology - Beijing, Beijing, China
Hongsheng Ding
University of Science and Technology - Beijing, Beijing, China
Li Wang
University of Science and Technology - Beijing, Beijing, China
Qilan Kang
University of Science and Technology - Beijing, Beijing, China
Shiwu Bai
Pipeline Research Institute of China National Petroleum Corporation, Langfang, China
Paper No:
MSEC_ICM&P2008-72110, pp. 129-132; 4 pages
Published Online:
July 24, 2009
Citation
Bai, L, Tong, L, Ding, H, Wang, L, Kang, Q, & Bai, S. "The Influence of the Chemical Composition of Welding Material Used in Semi-Automatic Welding for Pipeline Steel on Mechanical Properties." Proceedings of the ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing. ASME 2008 International Manufacturing Science and Engineering Conference, Volume 1. Evanston, Illinois, USA. October 7–10, 2008. pp. 129-132. ASME. https://doi.org/10.1115/MSEC_ICMP2008-72110
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