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 for quality assurance of the products considering the probable imperfections. Please see recently published papers in the page “JSPS KAKENHI Project”.
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 such as in the following journal paper. You can also see many published papers from the link in the top homepage.
Tien-Dat Hoang, Yutaro Abe, Shinya Nakamura, Akio Miyoshi and Naoki Takano, Stochastic
nonlinear multiscale computational scheme for short fiber reinforced composites to study
the influence of microstructural variability on damage propagation, SN Applied Sciences,
Vol. 2 (2020), Paper No. 182, https://doi.org/10.1007/s42452-020-1961-7.
In the biomechanics simulation, we have enough experiences of the micro-CT image-based multiscale simulation of trabecular bone. But the latest research topic is the orthodontic treatment using polymeric clear aligner working with dentists. We focus on the influence of manufacturing process parameters on the mechanics of clear aligner using digital image correlation measurement and numerical simulation. Please see published papers listed below.
(i) Naoki Yamaguchi, Kohta Ito, Pietro Oldani, Motoya Shiogama, Moeka Sawamura, Haruhisa Nakano, Koutaro Maki and Naoki Takano, Experimental study on deformability of polymeric dental aligner by digital image correlation method, Journal of the Society of Materials Science, Japan, Vol. 70, No.1 (2021), pp.57-63, https://doi.org/10.2472/jsms.70.57.
(ii) Motoya Shiogama, Haruhisa Nakano, Moeka Sawamura, Naoki Yamaguchi, Naoki Takano and Koutaro Maki, Measurement of elastic strain recovery in an orthodontic aligner as a driving force for orthodontic treatment, Dental Materials Journal, Vol. 41, Issue. 5 (2022), pp.688-697, https://doi.org/10.4012/dmj.2021-339.
(iii) Moeka Sawamura, Haruhisa Nakano, Motoya Shiogama, Naoki Takano and Koutaro Maki, Using digital image correlation to measure displacement and strain during involving distal movement of anterior teeth with clear aligner, Dental Materials Journal, Vol. 42, Issue. 4 (2023), pp.493-500, https://doi.org/10.4012/dmj.2022-255.
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
Dr. Hoang Tien Dat, Mr. (2020), Vietnam
- Development of stochastic nonlinear multiscale computational method for short fiber reinforced composites to study the influence of microstructural variability on damage propagation
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,2020), Ecole Central de Nantes, France
- Influence of higher orders of Neumann expansion on accuracy of stochastic linear elastic finite element method with random physical parameters
Ms. Noemie Jeannin (DD student, 2021), Ecole Central de Nantes, France
- Second harmonic generation image-based strain analysis of an osteon in peri-implant jaw bone
Ms. Mizuki Maruno (DD student, 2021), Keio-Ecole Central de Lyon-Keio
- Predictive study on tensile property of additively manufactured nylon products with holes considering a probable occurrence of geometrical imperfection
Mr. Raphael Farcy (DD student, 2022), Ecole Central de Marseille, France
- Micro-CT image-based measurement and finite element analysis of microstructures in manufacturing and biomedical engineering
Mr. Esteban Antier (DD student, starting from September 2023), CentraleSupélec, Paris, France
- Stochastic/probabilistic heat conduction analysis to be used in the design of reliable heat sink for copper alloy additive manufacturing (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. Jon Kipp Lauesen (April 2018, 6 months) Technical University of Denmark, Denmark
Mr.Pietro Oldani (September 2019, 6 months) Polytechnic University of Milan, Italy
Mr. Davide Donadel (September 2022, 6 months) Polytechnic University of Milan, Italy
Ms. Yang Ya-Ching (April 2023, 6 months) National Cheng Kung University, Taiwan
Mr. Maximilian Friedrichs-Dachale (September 2023, 6 months) Leibniz University in Hannover, Germany