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2022
Dai W, Li D, Tang D(通讯), Wang H, Peng Y, Online quality inspection of resistance spot welding for automotive production lines, Journal of Manufacturing Systems, 2022(63):354-369
Dai W, Li D, Zheng Y, Wang D, Tang D(通讯), Wang H, Peng Y, Deep learning approach for defective spot welds classification using small and class-imbalanced datasets, Neurocomputing, 2022,477(8)
Tang D, Zhou K, Tang W, Wu P, Wang H, On the inhomogeneous deformation behavior of magnesium alloy beam subjected to bending, International Journal of Plasticity, 2022, 150:103180
Wang D, Dai W, Tang D, Liang Y, Ouyang J, Wang H, Peng Y, Deep learning approach for bubble segmentation from hysteroscopic images, Medical & Biological Engineering & Computing, 2022, 60:1613–1626
Zhao L, Zhou K, Tang D(通讯), Wang H, Li D, Peng Y, Experimental and Numerical Study on Friction and Wear Performance of Hot Extrusion Die Materials, Materials, 2022,15(5):1798
2021
Tang D, Zhao L, Wang H, et al. The role of rough surface in the size-dependent behavior upon nano-indentation[J]. Mechanics of Materials, 2021:103836.
Dai W , Li D , Tang D(通讯), et al. Deep learning assisted vision inspection of resistance spot welds. Journal of Manufacturing Processes, 2021, 62(8):262-274.
Zhang D, Gao J, Tang D, et al. Switching on auxiliary devices in vehicular fuel efficiency tests can help cut CO 2 emissions by millions of tons[J]. One Earth, 2021, 4:1-11.
Zhang D, Zhang S, Tang D, et al. Regulating Automobile Air Conditioning Efficiency Can Save Megatons of CO 2 Emissions for Free[J]. One Earth (Cell Press Journals), 2020.
Tang D, Fan X, Fang W, et al. Microstructure and mechanical properties development of micro channel tubes in extrusion, rolling and brazing[J]. Materials Characterization, 2018, 142: 449-457.
Tang D, Fang W, Fan X, Zou T, Li Z, Wang H*, et al. Evolution of the Material Microstructures and Mechanical Properties of A1100 Aluminum Alloy within a Complex Porthole Die during Extrusion[J]. Materials, 2019.
Tang D, Zhang Q, Li D, Peng Y, A physical simulation of longitudinal seam welding in micro channel tube extrusion[J]. Journal of Materials Processing Technology, Vol. 214, 2014: 2777-2783.
Tang D, Li D, Peng Y, Du Z，A new approach in evaluation of thermal contact conductance of tube-fin heat exchanger[J], Applied Thermal Engineering, Vol.30, No.14, 2010: 1991-1996.
Tang D, Li D, Peng Y, Du Z，Optimisation to the tube-fin contact status of the tube expansion process[J], Journal of Materials Processing Technology, Vol.211, 2011: 573-577.
Tang D, Li D, Peng Y, Numerical and experimental study on expansion forming of inner grooved tube[J], Journal of Materials Processing Technology, Vol.209, 2009: 4668-4674.
Tang D, Li D, Peng Y, Mechanical expansion of thick-walled micro-groove tube for high pressure ACR system [J], Journal of Pressure Vessel Technology (Transactions of the ASME) , Vol.132, 2010: 432-440.
Zhang Q, Tang D (通讯), Li D, Peng Y. Numerical and experimental study on in-plane bending of microchannel aluminum flat tube[J], Journal of Materials Processing Technology, Vol.210, 2010: 1876-1884.
Tang D, Li D, Yin Z, Peng Y. Roles of surface booster system on bending of thin-walled copper tube[J], Journal of Materials Engineering and Performance, Vol.18, 2009: 369-377.
Tang D, Peng Y, Li D. An experimental and numerical study of the expansion forming of a thick-walled microgroove tube[J], Journal of Mechanical Engineering Science, Vol.223, 2009: 689-697.
Tang D, Li D, Peng Y, Du Z., Study on evaluation method of tube–fin thermal contact conductance[J], Journal of Mechanical Engineering Science, Vol.225, 2011:390-396.
Peng Y, Tang D, Li D. Study on the Influence of Mandrel Type on Copper Tube Rotary Draw Bending[J], International Journal of Materials & Product Technology, Vol.32, 2008: 406-422.
Tang D, Zhang Q, Li D, Peng Y, Numerical and Experimental Study on Seam Welding Behavior in Extrusion of Micro-Channel Tube[J], Key Engineering Materials, Vol.491, 2012:189-195
唐鼎, 邹天下, 李大永, 彭颖红, 亚毫米孔径微通道铝合金管挤压成形的数值模拟研究[J],塑性工程学报, Vol.04, 2011:25-29.
唐鼎, 张卿卿, 方文利,等. 基于空洞演化理论的挤压焊合描述模型[J], 机械工程学报, Vol.22, 2015: 34-41.
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