Foreign students are welcome to our group, Mechanical Simulation Laboratory, as Ph.D. course students in the framework of English-based IGP students (International Graduate Program) or as double degree master course students from the partnership universities.
The core technology in our laboratory is the finite element method (FEM) to solve partial differential equations and related numerical techniques. There are three main directions in its applications to practical problems. They are the additive manufacturing, composite materials and biomechanics.
The additive manufacturing is also called as 3D printing. The selective laser melting (SLM) or powder bed fusion (PBF) is the current target. The material is not limited to the metals such as Ti-6Al-4V, Al-Si10-Mg and maraging steel, but nylon (PA2200) is also studied. The experimental works are followed by numerical modeling and simulation.
There are many molding methods for fiber reinforced plastic (FRP) composite materials. We are interested in the uncertainty modeling due to the molding process and in the analysis of uncertainty propagation when solving the multiscale, multiphysics and nonlinear problems.
In the biomechanics simulation, the main target is the human bone and the implant. We have some research partners in the hospital and dental colleges.
The followings are the examples of possible Ph.D. research topics at this moment (as of July 2019).
- Stochastic multiphysics and multiscale simulation of molding process of fiber reinforced composite material for the prediction of microscopic imperfections and degraded macroscopic properties [Composite material]
- Tailoring and quality assurance of Ti-6Al-4V dental prosthesis fabricated by additive manufacturing process: Stochastic prediction of fatigue life and experimental validation [Additive manufacturing]
- Numerical and experimental study on the influence of micro-architecture in support structure on metal additive manufacturing process and on the properties of products [Additive manufacturing]
- Nanoscale strain analysis of peri-implant bone considering osteon and collagen fiber alignment using SHG (second harmonic generation) and micro-CT image-based FEM [Biomechanics]
Please visit the following university webpage for further information.
Those who wish to enter Ph.D. course are strongly required to have enough knowledge of mechanics (strength of materials and continuum solid mechanics) and linear algebra (vector and matrix) as well as computer programming skill for numerical analysis. It is highly recommended to learn the theory of Finite Element Method (FEM) before you enter Ph.D. course. Those who wish to get both Master’s degree and Ph.D. will be able to learn above fundamental items during the master course and then finish Ph.D. course, if graduated from Mechanical Engineering Department.
Dr. Chen Jian Ken Lee, Mr. (2009), Hong Kong
- Structural topology optimization based on level set method for multidisciplinary design
Dr. Khairul Salleh Bin Basaruddin, Mr. (2013), Malaysia
- Three-dimensional morphology analysis of vertebral trabecular network architecture using multiscale method
Dr. Samuel Susanto Slamet, Mr. (2014), Indonesia
- Study on uncertainty modeling and sampling scheme with focus on tail distribution applied to biomechanics simulation of pressure ulcer
Dr. Pin Wen, Ms. (2016), China
- Probabilistic multiscale analysis of three-phase composite material considering physical and geometrical uncertainties at microscale
Dr. Aimaddudin Atiq Bin Kamisan, Mr. (2017), Malaysia
- Biomechanical study on drilling mandibular trabecular bone and lifting maxillary sinus membrane in oral implant surgery
Hoang Tien Dat, Mr. (started September 2017), Vietnam
- Stochastic nonlinear multiscale computational method for composite materials (tentative title)
Mr. Paolo Realini (DD student, 2016), Polytechnic University of Milan, Italy
- Parameterization and measurement of imperfections in metal 3D-printed cellular structures by micro-CT for stochastic homogenization analysis
Mr. Fu Yu (DD student, 2019), Polytechnic University of Milan, Italy
- Development of downscaling multiscale analysis system by finite element method in peri-implant bone considering collagen fibers using micro-CT and SHG images
Mr. Lucas Degeneve (DD student, started September 2018), Ecole Central de Nantes, France
- Stochastic finite element method using higher-order polynomial approximation (tentative title)
Mr. Miguel Clanche (April 2010, 6 months) Ecole Central de Nantes, France
Dr. Loic Gilardi (November 2011, 6 months) Ecole Central de Nantes, France
Assoc. Prof. Gregory Legrain (February 2012, 1 month) Ecole Central de Nantes, France
Dr. Adrien Michelle (April 2013, 3 months) Universite Paris-Est, France
Prof. Heoung Jae Chun (March 2018, 1 year) Yonsei University, Korea
Mr. Jan Kipp Lauesen (April 2018, 6 months) Technical University of Denmark, Denmark