Lang Yuan
Lang Yuan PhD
Associate Professor
Department of Mechanical Engineering, University of South Carolina
Tel: +1 (803) 576-8226;
Email: langyuan@cec.sc.edu
EDUCATION
October 2006– April 2010
Imperial College London, UK, Ph.D. in Materials Science and Engineering
Thesis: “Multiscale Modelling of the Influence of Convection on Dendrite Formation
and Freckle Initiation during Vacuum Arc Remelting”
Key author of Open-source code μMatIC (http://www.imperial.ac.uk/engineeringalloys/
research/software/)
Supervisors: Prof. P. D. Lee and Prof. K. A. Pericleous (University of Greenwich) Imperial College London Awards: McLean Medal
September 2003– May 2006
Tsinghua University, China, M. Eng. in Materials Processing and Engineering
Thesis: “Numerical Simulation of Shot Process in Shot Sleeve of Die Casting Process”
Supervisor: Prof. Baicheng Liu and Prof. Shoumei Xiong
September 1999– June 2003
Tsinghua University, China, B. Eng. in Mechanical Engineering
Excellent Graduate of Tsinghua University
WORK EXPERIENCE
August 2018 –Present
Associate Professor, Mechanical Engineering, University of South Carolina, UAS
November 2012– August 2018
Lead Research Engineer, Additive Core Discipline, GE Global Research (GEGR), USA
October 2011 –November 2012
Research Fellow, Microstructural Modelling and In Situ Imaging of Solidification Defects
in Steels, The Manchester X-Ray Imaging Facility, The University of Manchester, UK
October 2011 –November 2012
Visiting Academics, Microscale numerical modeling of mechanical response of equiaxed
crystals during solidification Department of Materials, Imperial College London, UK
September 2010– March 2012
Consultant, Developing models of microstructures during casting of materials for
energy applications, GE Global Research, USA
April 2010 –September 2011
Research Associate, Mechanical Fragmentation of Dendrites in Equiaxed Partially Solid
Alloys, Imperial College London, UK
October 2006– April 2010
PhD Candidate, Measurement and Control of Electrical Phenomena during Vacuum Arc
Remelting (VAR) for Optimal Material Quality, Imperial College London, UK
Abstract:
From Art-to-Part: Multidisciplinary Toolset for Laser Powder-bed Fusion Additive Manufacturing
Structured methods to mature and certify Powder-bed Fusion Additive Manufactur-ing processes (PBFAM) are in their infancy meaning that numerous process iterations are required to achieve the requisite tolerances and properties. This talk takes a holistic look at optimizing the manufacturing process chain for process certification. A de-signed part will be demonstrated and evaluated through the optimization of part ge-ometry and material state through PBFAM, heat treatments and bulk machining. Ana-lytical and process optimization tools will be presented including: 1) model-based producibility tool for PBFAM and machining; 2) PBFAM scan path optimization for high material integrity; 3) prediction of thermal distortion; 4) part compensation for distortion and machining; 5) machining consideration and evaluation. The integrated work flow can accelerate the process certification by shifting more than 60% of the process iterations to the digital world, thus, reducing the certification time by a factor of three.
Associate Professor
Department of Mechanical Engineering, University of South Carolina
Tel: +1 (803) 576-8226;
Email: langyuan@cec.sc.edu
EDUCATION
October 2006– April 2010
Imperial College London, UK, Ph.D. in Materials Science and Engineering
Thesis: “Multiscale Modelling of the Influence of Convection on Dendrite Formation
and Freckle Initiation during Vacuum Arc Remelting”
Key author of Open-source code μMatIC (http://www.imperial.ac.uk/engineeringalloys/
research/software/)
Supervisors: Prof. P. D. Lee and Prof. K. A. Pericleous (University of Greenwich) Imperial College London Awards: McLean Medal
September 2003– May 2006
Tsinghua University, China, M. Eng. in Materials Processing and Engineering
Thesis: “Numerical Simulation of Shot Process in Shot Sleeve of Die Casting Process”
Supervisor: Prof. Baicheng Liu and Prof. Shoumei Xiong
September 1999– June 2003
Tsinghua University, China, B. Eng. in Mechanical Engineering
Excellent Graduate of Tsinghua University
WORK EXPERIENCE
August 2018 –Present
Associate Professor, Mechanical Engineering, University of South Carolina, UAS
November 2012– August 2018
Lead Research Engineer, Additive Core Discipline, GE Global Research (GEGR), USA
October 2011 –November 2012
Research Fellow, Microstructural Modelling and In Situ Imaging of Solidification Defects
in Steels, The Manchester X-Ray Imaging Facility, The University of Manchester, UK
October 2011 –November 2012
Visiting Academics, Microscale numerical modeling of mechanical response of equiaxed
crystals during solidification Department of Materials, Imperial College London, UK
September 2010– March 2012
Consultant, Developing models of microstructures during casting of materials for
energy applications, GE Global Research, USA
April 2010 –September 2011
Research Associate, Mechanical Fragmentation of Dendrites in Equiaxed Partially Solid
Alloys, Imperial College London, UK
October 2006– April 2010
PhD Candidate, Measurement and Control of Electrical Phenomena during Vacuum Arc
Remelting (VAR) for Optimal Material Quality, Imperial College London, UK
Abstract:
From Art-to-Part: Multidisciplinary Toolset for Laser Powder-bed Fusion Additive Manufacturing
Structured methods to mature and certify Powder-bed Fusion Additive Manufactur-ing processes (PBFAM) are in their infancy meaning that numerous process iterations are required to achieve the requisite tolerances and properties. This talk takes a holistic look at optimizing the manufacturing process chain for process certification. A de-signed part will be demonstrated and evaluated through the optimization of part ge-ometry and material state through PBFAM, heat treatments and bulk machining. Ana-lytical and process optimization tools will be presented including: 1) model-based producibility tool for PBFAM and machining; 2) PBFAM scan path optimization for high material integrity; 3) prediction of thermal distortion; 4) part compensation for distortion and machining; 5) machining consideration and evaluation. The integrated work flow can accelerate the process certification by shifting more than 60% of the process iterations to the digital world, thus, reducing the certification time by a factor of three.