个人简介
教育背景
2012.09 - 2016.10， 清华大学机械工程系，工学博士
2014.01 - 2014.08， 美国凯斯西储大学材料科学与工程系，公派访学
2009.09 - 2012.06， 清华大学机械工程系，工学硕士
2002.09 - 2006.07， 山东大学材料科学与工程学院，工学学士
工作履历
2020.09 – 至今， 清华大学机械工程系，助理研究员
2018.02 - 2020.09， 美国卡内基梅隆大学机械工程系，博士后研究员，讲师
2016.10 - 2018.01， 美国佐治亚理工学院机械工程系，博士后
2006.08 - 2009.08， 安徽江淮汽车有限公司，设计工程师
奖励与荣誉
Journal of Manufacturing Processes, Computer Aided Design等期刊审稿人
Elsevier优秀审稿人贡献奖, 2017
清华大学摩擦学国家重点实验室博士生优秀报告奖, 2013
清华大学研究生会优秀学生干部, 2010
近期论文
查看导师新发文章
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期刊论文
Jiang H, Nie Z*, Yeo R, Farmani AB, and Kara LB, StressGAN: A Generative Deep Learning Method for 2D Stress Distribution Prediction. Journal of Applied Mechanics, ASME DC. 2020. under review (SCI Q1 IF2.671)
Nie Z, Tong L, Jiang H, and Kara LB*, TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain. Journal of Mechanical Design ASME DC. 2020. accepted (SCI Q1 IF2.828)
Nie Z, Jung S, Kara LB, and Whitefoot K*, Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing. Journal of Mechanical Design ASME DC. 2020, 142(7): 072001, (SCI Q1 IF2.828)
Nie Z, Jiang H, and Kara LB*, Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks, Journal of Computing and Information Science in Engineering ASME DC. 2019. doi:10.1115/1.4044097(SCI Q2 IF1.717)
Nie Z, Lynn R, Tucker T, and Kurfess T*, Voxel-based analysis and modeling of MRR computational accuracy in milling process. CIRP Journal of Manufacturing Science and Technology. 27, 78-92, 2019. (SCI Q1 IF2.333)
Nie Z, Wang G*, Wang L, and Rong Y. A Coupled Thermomechanical Modeling Method for Predicting Grinding Residual Stress Based on Randomly Distributed Abrasive Grains. Journal of Manufacturing Science and Engineering ASME DC. 2019, 141(8):081005-081005-12. doi:10.1115/1.4043799. (SCI Q1 IF2.875)
Nie Z, Wang G*, Jiang F, Lin Y, and Rong Y, Investigation of Modeling on Single Grit Grinding for Martensitic Stainless Steel. Journal of Central South University, 2018. 25: 1862. (SCI Q2 IF1.249)
Nie Z, Wang G*, Liu D, and Rong Y, A statistical model of equivalent grinding heat source based on randomly distributed grains. Journal of Manufacturing Science and Engineering ASME DC, 2018, 140 (5), 051016 (SCI Q1 IF2.875)
Nie Z, Wang G*, McGuffin-Cawley JD, Narayananc B, Zhang S, David Schwam, Kottman M, and Rong Y, Experimental Study and Modeling of H13 Steel Deposition Using Laser Hot-Wire Additive Manufacturing. Journal of Materials Processing Technology, 2016, 235. (SCI Q1 Top IF4.669)
Nie Z, Wang G*, Yu J, and Rong Y, A Phase-based Constitutive Model for Dynamic Mechanical Behavior of Martensitic Stainless Steel in a Complete Heating and Cooling Cycle. Mechanics of Materials, 2016, 101. (SCI Q1 Top IF2.993)
Nie Z, Wang G*, Lin Y, and Rong Y, Modeling and Simulation of Single Abrasive-Grain Cutting Process in Creep Feed Grinding. Key Engineering Materials, 2016, 6931241-1246. (EI)
Liu D, Wang G*, Nie Z, Rong Y, An in-situ Infrared Temperature-measurement Method with Back Focusing on Surface for Creep-feed Grinding. Measurement, 2016, 94645-652. (SCI Q1 IF3.364)
Nie Z, Wang G*, Lin Y, and Rong Y, Precision Measurement and Modeling of Quenching-Tempering Distortion in Low-Alloy Steel Components with Internal Threads. Journal of Materials Engineering and Performance. 2015:1-12. (SCI Q2 IF1.652)
Zhang Y, Wang G*, Nie Z, Shi W, and Rong Y, Experimental study of high temperature hydrozing annealing 1J50 alloy's magnetic properties. Journal of Manufacturing Science and Engineering ASME DC. 2013, 135:061024. (SCI Q1 IF2.875)
Zhang Y, Wang G*, Nie Z, Shi W, and Rong Y, Magnetic performance of vacuum annealed soft-magnetic alloy. Transactions of Materials and Heat Treatment, 2013, 34. (EI)
会议论文
Nie Z, Jung S, Kara LB, and Whitefoot K*, Product Evaluation and Optimization for Part Consolidation in Metal Additive Manufacturing. ASME International Design Engineering Technical Conferences/CIE, 2019, Anaheim, CA.
Nie Z, Jiang H, and Kara LB*, Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks. 2019. ASME International Design Engineering Technical Conferences/CIE, 2019, Anaheim, CA.
Nie Z, Jiang H, and Kara LB*, Deep Learning for Stress Field Prediction Using Convolutional Neural Networks, ASME IDTEC-CIE 2019.
Wei, S, Wang*, G, Nie, Z, Huang, Z, and Rong, Y, 2016. Microstructure Evolution of Martensitic Stainless Steel in Laser Hot Wire Cladding with Multiple Heating Passes, TMS 2016: 145 Annual Meeting & Exhibition: Supplemental Proceedings. John Wiley & Sons, Inc., pp. 191-198.
Nie Z, Wang G*, Zhang Y, and Rong Y, Experimental Study and Modeling on the Grain Growth of Annealing Process in Fe-50%Ni Alloy. TMS2015 Supplemental Proceedings: John Wiley & Sons, Inc.; 2015. p. 1449-55.
Nie Z, Wang G*, Yu J, and Rong Y. Dynamic Mechanical Behavior and Phase-based Constitutive Model of 2Cr12Ni4Mo3VNiN in Austenitizing Stage. TMS 2014 Supplemental Proceedings: John Wiley & Sons, Inc.; 2014. p. 1125-31.
Du P, Wang G*, Nie Z, and Rong Y. A FEM-Based Inverse Calculation Method for Determination of Heat Transfer Coefficient in Liquid Quenching Process. TMS 2014 143rd Annual Meeting & Exhibition, Annual Meeting
Liu D, Wang G*, Nie Z, and Rong Y. Numerical Simulation of the Austenitizing Process in Hypo eutectoid Fe-C Steels. ASME 2014 International Manufacturing Science and Engineering Conference Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference: American Society of Mechanical Engineers; 2014. p. V001T01A4-VT01A4.
Shi W, Nie Z*. Modeling of Stress-phase Transformation Interaction and Numerical Simulation of Quenching Process of Large Steel Forging. IDE 2011, Bremen, Germany. p. 379-386. Supplemental Proceedings: John Wiley & Sons; 2014. p. 309.
Nie Z, Shi W*, Experiment research of the influence of stress on martensitic transformation of 42CrMo steel. 10th Congress of China for Heat Treatment, 2011. p. 74-77.
Shi W, Nie Z*. Modeling of Stress – Phase Transformation Interaction and Numerical Simulation of Quenching Process of Large Steel Forgings. Proceedings of the 3rd International Conference on Distortion Engineering, Bremen, Germany, 14-16 September 2011: 379 – 386. ISBN: 9783887227241.
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