Dr. XINCHANG ZHANG
Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, USA
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Academic Career Length
13Years (2014-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
WCWenyuan Cui
Wenyuan CuiYZYunlu Zhang
Yunlu ZhangXINCHANG ZHANGLLLan Li
Lan Li
Frank LiouMetal additive manufacturing (AM) is gaining increasing attention from academia and industry due to its unique advantages compared to the traditional manufacturing process. Parts quality inspection is playing a crucial role in the AM industry, which can be adopted for product improvement. However, the traditional inspection process has relied on manual recognition, which could suffer from low efficiency and potential bias. This study presented a convolutional neural network (CNN) approach toward robust AM quality inspection, such as good quality, crack, gas porosity, and lack of fusion. To obtain the appropriate model, experiments were performed on a series of architectures. Moreover, data augmentation was adopted to deal with data scarcity. L2 regularization (weight decay) and dropout were applied to avoid overfitting. The impact of each strategy was evaluated. The final CNN model achieved an accuracy of 92.1%, and it took 8.01 milliseconds to recognize one image. The CNN model presented here can help in automatic defect recognition in the AM industry.
1 July 2021 in Journal of Materials Science & Technology
Journal Article
XINCHANG ZHANGTPTan Pan
Tan Pan
YCYitao Chen
Yitao Chen
LLLan Li
Lan Li
YZYunlu Zhang
Yunlu Zhang
FLFrank Liou
Frank Liou
19 March 2019 in Science and Technology of Welding and Joining
Journal Article
In this work, functionally graded materials of Stainless Steel 316L and Inconel 625 were fabricated using Directed Energy Deposition. Intermediate layers were built in between of SS316L and IN625. Pure SS316L and IN625 samples were also prepared. The results show microstructure varied sharply at the interface on pure SS316L and IN625 while changed gradually on gradient samples. Quantitative analysis reveals the consistence of designed and tested material composition at the gradient layers. Tensile testing shows the yield strength of graded samples is similar to that of pure IN625 while the ultimate tensile strength is approaching to that of pure SS316L due to the fracture at SS316L side. Microhardness measurements reveal the gradual change of hardness values over the gradient zone.
3 July 2020 in The International Journal of Advanced Manufacturing Technology
Journal Article
LLLan Li
Lan Li
XINCHANG ZHANGWCWenyuan Cui
Wenyuan Cui
FLFrank Liou
Frank Liou
WDWen Deng
Wen Deng
Wei Li7 November 2017 in The International Journal of Advanced Manufacturing Technology
Journal Article
Wei LiXCXueyang Chen
Xueyang Chen
LYLei Yan
Lei Yan
JZJingwei Zhang
Jingwei Zhang
XINCHANG ZHANGFrank Liou23 November 2017 in The International Journal of Advanced Manufacturing Technology
Journal Article
About Me
Dr. Xinchang Zhang is a Post-Doctoral Research Associate in the Materials Science and Engineering Department at Idaho National Laboratory. His primary research areas focus on the processing of advanced nuclear materials using advanced manufacturing techniques, and the characterization of
high-temperature structural materials using electron microscopy and mechanical testing. The materials of interest include nickel-based superalloys, cobalt-based superalloys, stainless steel, functionally graded materials, high-entropy alloys, etc. He holds a Ph.D. in mechanical engineering from Missouri University of Science and Technology (2019). His honors include the Dean’s Ph.D. Scholar Award, Best Paper Award in the 2018 International Solid Freeform Fabrication Symposium, the NSF Travel Award, Outstanding Reviewer for the Journal 'Additive Manufacturing', etc. He also serves as a reviewer for the leading journals in the area of advanced manufacturing and material science, including 'Additive Manufacturing', 'Materials Science and Engineering: A', 'Science and Technology of Welding and Joining', the 'ASME-Journal of Manufacturing Science and Engineering', etc. At INL, he is currently investigating the advanced
manufacturing of nuclear materials and the characterization of microstructure and elevated-temperature mechanical properties.