Educational Background

1998－2001, ME School Shanghai Jiaotong University, Doctor
1995－1998, ME School Hunan University, Master
1991－1995, ME Department Hunan University, Bachelor

Professional Experience

2017 - now, Tenured Professor, ME School, Shanghai Jiaotong University
2015 - now, Dean Assistant, Office of Research Management, Shanghai Jiaotong University
2010－now, Professor,ME School, Shanghai Jiaotong University
2009－2010, Dean Assistant, ME School, Shanghai Jiaotong University
2006－2010，Deputy Director, Shanghai Key Lab for Auto Body Digital Engineering
2005－2005，Visiting Scholar, WuMRC, University of Michigan, USA
2004－2010，Associate Professor, BMTC, ME School, Shanghai Jiaotong University
2001－2003，Lecturer, BMTC, ME School, Shanghai Jiaotong University

Visit and Post Experience

2017, University of Southern California, Academic visit
2015, University of California, Davis, Lecture
2013, Guangxi University of Science and Technology, Assistant to the President
2011, Ohio State University, Lecture
2009, National Ilan University, Lecture

Research Interests

1) Intelligent Manufacturing, including development of intelligent manufacturing equipment, digital technology, machine tool.
2) Manufacturing Quality Control, including dimiension measurement, data analysis, diagnosis and control.
3) Assembly Technology development, including assembly stucture, variation modelling and tolerance design.
4) Industrial Application: Automobile body, Airplane body, High-speed train body, etc.

Research Projects

2017 - 2019, National Key Science and Technology Research Program of China, "Development of machining equipments and the process integration verification platform for key components of vehicle powertrains", (2014ZX04002011-3)
2020 - 2023, NSFC, "Predicting global surface variation and cutting trajectories configuration in multi-tooth face milling of thin-walled structure with non-homogeneous stiffness", (51975369)
2012 - 2015, NSFC, "Deviation detection and diagnosis methods for body assembly of high-speed train based on Bayesian network ", (51175340)
2008－2010, State Science and Technology Support Program, "300KM/H EMU Contemporary Integrated Manufacturing System"（2006BAF01A01）
2008－2010, NSFC, "Research on auto body tolerance allocation model and optimization strategy based on the quality-cost multi-stage game analysis"（50705056）
2006－2008, "863" program, "For the shape, material error coupling assembly of complex sheet product dimension control and Fixture optimization technology"（2006AA04Z148）
2004－2006, NSFC, "Directed graph based on multi-attribute mapping of thin plate with the matrix product configuration design of digital modeling"（50375092）
2003－2005, "863" program, "Complex product assembly variation stream simulation and digital assembly process"（2003AA411210）
2009－2010, Shanghai Aircraft Manufacturing Factory of COMAC, "Digital coordination and assembly of aircraft body and tolerance allocation technology"
2008-2010, Shanghai General Motors Co., Ltd. "Data processing, diagnosis and fault prediction for autobody optical online measurement system"
2008-2010, SAIC-GM-Wuling Automobile Co., Ltd. "micro-car body manufacturing quality control 2mm project"
2008-2009, SAIC Motor Corporation, "Roewe 550 autobody Manufacturing Quality Control 2mm Project"
2008-2009, Chongqing Changan Automobile Co., Ltd. "Prototype autobody manufacturing engineering and quality control"
2003-2006, General Motors Research and Development Center, "Body Build Advisor"

Selected Publications

1) Jin S, Liu S, Zhang X, Chen K, A unified prediction model of 3D surface topography in face milling considering multi-error sources, International Journal of Advanced Manufacturing Technology, 2019
2) Liu S, Jin S, Zhang X, Chen K, Tian A, Xi L, A coupled model for the prediction of surface variation in face milling large-scale workpiece with complex geometry, Journal of Manufacturing Science and Engineering, Transactions of the ASME,2019
3) Liu T, Li Z, Jin S, Chen W, Compliant assembly analysis including initial deviations and geometric nonlinearity—Part I: Beam structure, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019
4) Liu C, Chen K, Jin S, Qu Y, Variation Pattern Recognition of the BIW OCMM Online Measurement Data Based on LSTM NN, IEEE Access ,2019
5) Ding S, Jin S, Li Z, Chen H, Multistage rotational optimization using unified Jacobian–Torsor model in aero-engine assembly, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture,2019
6) Liu T, Li Z, Jin S, Chen W, Compliant assembly analysis including initial deviations and geometric nonlinearity, part II: Plate structure, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2019
7) Niu Z, Li Z, Jin S, Liu T, Assembly variation analysis of compliant mechanisms by combining direct linearization method and Lagrange’s equations, Assembly Automation, 2019
8) Liu Y, Sun R, Jin S, A survey on data-driven process monitoring and diagnostic methods for variation reduction in multi-station assembly systems, Assembly Automation, 2019
9) Liu S, Zhang X, Jin S, Tian A, Chen K, Xi L, Prediction of surface variation field in face milling via finite element model updating with considering force-deformation coupling, International Journal of Advanced Manufacturing Technology, 2019
10) Jin S, Ding S, Li Z, Yang F, Ma X, Point-based solution using Jacobian-Torsor theory into partial parallel chains for revolving components assembly, Journal of Manufacturing Systems, 2018
11) Liu T, Li Z, Jin S, Nonlinear bending analysis of anisotropic laminated tubular beams based on higher-order theory subjected to different kinds of distributed loads, International Journal of Pressure Vessels and Piping, 2018
12) Yang F, Jin S, Li Z, A comprehensive study of linear variation propagation modeling methods for multistage machining processes, International Journal of Advanced Manufacturing Technology,2017
13) Jin S, Liu C, Lai X, Li F, He B, Bayesian network approach for ceramic shell deformation fault diagnosis in the investment casting process, International Journal of Advanced Manufacturing Technology, 2017
14) Yang F, Jin S, Li Z, Ding S, Ma X, A new error compensation model for machining process based on differential motion vectors, International Journal of Advanced Manufacturing Technology, 2017
15) Yang F, Jin S, Li Z, A modification of DMVs based state space model of variation propagation for multistage machining processes, Assembly Automation, 2017
16) Jin S, Liu C, Lai X, • Li F, He B, Bayesian network approach for ceramic shell deformation fault diagnosis in the investment casting process, International Journal of Advanced Manufacturing Technology, 2016
17) Ding S, Jin S, Microbulging extrusion of aluminum alloy to fabricate micro/meso features for heat pipes, International Journal of Advanced Manufacturing Technology, 2016
18) Jin S, Chen H, Li Z, Lai X. , A small displacement torsor model for 3D tolerance analysis of conical structures. , Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015
19) Chen H; Jin S; Li Z; Lai X. , A modified method of the unified Jacobian-Torsor model for tolerance analysis and allocation, International Journal of Precision Engineering and Manufacturing, 2015
20) Chen H, Jin S, Li Z, Lai X. , A solution of partial parallel connections for the unified Jacobian-Torsor model. , International Journal of Advanced Manufacturing Technology, 2015
21) Liu C, Jin S, Lai X, He B, Li F. , Influence of complex structure on the shrinkage of part in investment casting process, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacturing, 2015
22) Liu C, Jin, S, Lai X, Wang Y. , Dimensional variation stream modeling of investment casting process based on state space method, Mechanism and Machine, 2015
23) Liu C; Jin S; Lai X; Li F, Molding and optimization of injection conditions on shrinkage for thin-walled wax part using RSM-GA method., Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2015
24) Liu C, Jin S, Lai X, He B, Li F., The assembly variation modeling for the rear casing wax part based on polar coordinate, ASME 2015 International Manufacturing Science and Engineering Conference, 2015
25) Chen H, Jin S, Li Z, Lai X., A comprehensive study of three dimensional tolerance analysis methods., Computer-Aided Design, 2014
26) Lin J, Jin S, Zheng C, Li Z, Liu Y., Compliant assembly variation analysis of aeronautical panels using unified substructures with consideration of identical parts, Computer-Aided Design, 2014
27) Jin S, Liu Y, Lin Z, A Bayesian network approach for fixture fault diagnosis in launch of the assembly process, International Journal of Production Research, 2014
28) Liu C, Jin S, Lai X, Experimental study of injection conditions for a thin-walled wax pattern using response surface methodology., 3rd International Conference on Machine Design and Manufacturing, Engineering (ICMDME), 2014
29) Liu Y, Jin S., Application of Bayesian networks for diagnostics in the assembly process by considering small measurement data sets., International Journal of Advanced Manufacturing Technology., 2013
30) Liu Y, Jin S, Lin Z, Zheng C, Yu K, Optimal sensor placement for fixture fault diagnosis using Bayesian network., Assembly Automation, 2011
31) Zheng C, Jin S, Lai X, Yu K., Assembly tolerance allocation using a coalitional game method., Engineering Optimization, 2011
32) Jin S, Cai W, Lai X, Lin Z., Design automation and optimization of assembly sequences for complex mechanical systems International, Journal of Advanced Manufacturing Technology, 2010
33) Jin S; Zheng C; Yu K; Lai X, Tolerance design optimization on cost-quality trade-off using the Shapley value method, Journal of manufacturing systems, 2010

Teaching

Course Name: Statistical Quality Control (SQC)
Teaching Target: Undergraduate / Graduate
Credit Hour: 54
Credit: 3
Course Description: to make students master statistical quality control of industrial products, such as automotive, aircraft, trains, machine tools, etc. Students can apply statistical quality control method to analyze and solve practical manufacturing quality problems and develop their skills, proficiency in using statistical software to calculate and analyze, to undertake the appropriate professional technical work, scientific research and management efforts, important knowledge and skills base.

Patents and Applications

Software Name: Sheet Product assembly variation analysis system (AVA V2.0), Copyright No.: 2009SR030667
Software Name: Sheet Product assembly variation analysis system (AVA V1.0), Copyright No.: 2005SR12911
Patent Name: Car door close force measuring device, Authorization number: ZL200410066589
Patent Name: Sheet metal parts quickly clamping device, Authorization Number: ZL200410093085.9
Patent Name: Flexible welding fixture for autobody back cover robot laser welding, Authorization Number: ZL200510023451.8
Patent Name: Flexible positioning by the servo-controlled fixture, Authorization Number: ZL200810034863.5

Other Professional Activities

Member, State Key Laboratory of Mechanical Systems and Vibration
Committee member, China Automobile Engineering Society Manufacturing Branch,
Visiting Researcher, Research Center of National Commercial Aircraft Manufacturing Engineering Technology

Honors and Awards

2019, First prize of the Guangxi Science and Technology Progress Award
2017, First prize of the Shanghai Science and Technology Progress Award
2015, First prize of the Science and Technology Progress Award of China Automotive Industry
2013, Second prize of the Guangxi Science and Technology Progress Award
2011, Second prize of the National Science and Technology Progress Award
2010, First prize of the National Science and Technology Progress Award of Education Ministry of China
2008, First prize of the Shanghai Technological Invention Award
2005, Nomination award of the National Science and Technology Progress of Education Ministry of China
2002, Second prize of the Shanghai Science and Technology Progress Award
2001, First prize of the Shanghai Science and Technology Progress Award