/filters:quality(90)/prod01/production-cdn-pxl/media/umassdartmouth/profiles/engineering/jli3_200X300.jpg?text=945+WebP)
faculty
Jun Li, PhD
Assistant Professor
Mechanical Engineering
Contact
508-999-8692
508-999-8881
lwp0nkBwocuuf0gfw
Violette Research 219
Education
| 2012 | University of Illinois at Urbana-Champaign | PhD in Mechanical Engineering |
| 2009 | University of Illinois at Urbana-Champaign | MS, Mathematics & Theoretical & Applied Mechanics |
| 2005 | Shanghai Jiao Tong University | BS in Mechanical Engineering |
Teaching
- Mechanics of Materials
- Continuum Mechanics
- Computational Mechanics
Teaching
Programs
Programs
- Engineering and Applied Science PhD
- Manufacturing
- Mechanical Engineering BS, BS/MS
- Mechanical Engineering MS
Teaching
Courses
General topics of interest and relevance to civil & environmental engineering applications. Topics may include subject matter related to transportation engineering, geotechnical engineering, structures design, water resources, fluid mechanics, and/or environmental science and engineering. Laboratory and field exercises may supplement lecture material. Course can be repeated with change of content.
Finite element method and its application to structural geotechnical, and water resource engineering. Students will apply analytical and computer techniques, including the use and modification of existing computer programs.
Finite element method (FEM) and its application to additive manufacturing problems. The objective of this course is to enable students to apply FEM to a wide range of engineering problems.Topics include: Introduction to the fundamentals of FEM; Applied finite element modeling and practical aspects of solid, heat transfer, time-dependent, and multiphysics coupled problems; Review of additive manufacturing processes and quality/reliability issues; FEM to predict part distortions, residual stresses, and in-service performance; Simulation-based design optimization for quality improvement.
Principles of the finite element method for solid mechanics. In addition, some fluid and heat flow problems will be covered. Topics include the direct method; energy methods; variational principles; interpolation functions; and the modeling of truss, beam, plate, and shell structures. This course is half theory and half computer modeling.
Finite element method (FEM) and its application to additive manufacturing problems. The objective of this course is to enable students to apply FEM to a wide range of engineering problems.Topics include: Introduction to the fundamentals of FEM; Applied finite element modeling and practical aspects of solid, heat transfer, time-dependent, and multiphysics coupled problems; Review of additive manufacturing processes and quality/reliability issues; FEM to predict part distortions, residual stresses, and in-service performance; Simulation-based design optimization for quality improvement.
Independent study under faculty supervision. Intensive literature search culminating in a technical report. Oral presentation at the option of the faculty.
Thesis research on an experimental or theoretical project in mechanical engineering under a faculty advisor. A formal thesis must be submitted to fulfill the course requirements.
Thesis research on an experimental or theoretical project in mechanical engineering under a faculty advisor. A formal thesis must be submitted to fulfill the course requirements.
Project research in conjunction with industry under a faculty advisor. A formal report must be submitted to fulfill the course requirements.
Project research in conjunction with industry under a faculty advisor. A formal report must be submitted to fulfill the course requirements.
Research
Research awards
- $ 405,320 awarded by National Science Foundation for Integrated Multiscale Computational and Experimental Investigations on Fracture of Additively Manufactured Polymer Composites
- $ 4,770 awarded by Composite Energy Technologies Inc. for 3D Print Composite Pressure Vessel with Embedded Sensors
Research
Research interests
- Composite materials
- Hierarchical materials and lightweight structures
- Random heterogeneous materials
- Inverse problems and optimization methods
- Image-based multiscale modeling
Select publications
- J. Li, K. Kwok and S. Pellegrino (2016).
Thermoviscoelastic models for polyethylene thin films
Mechanics of Time-Dependent Materials, 20, 13-43. - J. Li, A. Saharan, S. Koric and M. Ostoja-Starzewski (2012).
Elastic-plastic transition in 3D random materials: Massively parallel simulations, fractal morphogenesis and scaling functions
Philosophical Magazine, 92, 2733-2758. - J. Li and M. Ostoja-Starzewski (2009).
Fractal solids, product measures and fractional wave equations
Proceedings of Royal Society A, 465, 2521-2536.
Dr. Jun Li joined the Department of Mechanical Engineering at the University of Massachusetts Dartmouth as an assistant professor in September 2016. Before that, he worked as a R&D quality assurance manager at Dassault Systemes Simulia Corp. Prior to that, he was a postdoctoral scholar at the Graduate Aerospace Laboratories in the California Institute of Technology, working on NASA Super Pressure Balloon project. He obtained his Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign, where he also earned M.S. degrees in Mathematics and in Theoretical and Applied Mechanics. He completed his B.S. in Mechanical Engineering with a Minor in Mathematics from Shanghai Jiao Tong University. His research interest is to develop theoretical and computational methods combined with experiments for the assessment, design, optimization and manufacturing of novel materials and structures in various applications.