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Matsuzaki Lab
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A lab that predicts and optimizes the forming of lightweight, strong composite materials.
AboutAbout the lab
Understanding composite forming through computation and experiment
Matsuzaki Lab studies how to form composite materials such as carbon fiber reinforced plastics.
By combining simulations that reproduce the forming process on a computer with data obtained from experiments, the lab works on predicting and optimizing forming processes.
The lab is also developing new forming methods, such as 3D printing of continuous carbon fiber composites.
Key terms
- Composite materials
- Materials made by combining different materials. This lab works on the forming of CFRP, GFRP, and nanocarbon.
- Data assimilation
- A method that merges numerical simulation with observation data obtained from experiments. It is used to predict model parameters of forming.
- Molecular dynamics simulation
- Computation that investigates properties at the molecular scale. It is used to understand resin curing and entanglement, and the behavior of the fiber-resin interface.
ResearchResearch themes
Composite materials such as carbon fiber reinforced plastics are considered important in the aerospace and automotive industries because their light weight saves energy. Focusing on the forming processes of composite materials, the lab develops technologies to understand and predict the process at each scale, and searches for optimal forming processes.
*Illustrative imageSimulation of forming processes
The lab verifies through experiments the forming sequence of fiber preform shaping, resin impregnation, and curing, models it, and builds simulations that reproduce it on a computer. It also uses molecular dynamics simulations to investigate resin curing and the behavior of the fiber-resin interface.
*Illustrative imageData-driven prediction and optimization of forming
The lab is pioneering techniques that use data assimilation, which merges numerical simulation with experimental observation data, to predict forming processes and simulation model parameters with high accuracy. These prediction techniques are also applied to search for optimal design guidelines for resins, fiber materials, and forming processes.
*Illustrative image3D printing of composite materials
Focusing on 3D printing technology for continuous carbon fiber composites, the lab studies equipment development, the mechanisms of printing, and the optimization of fiber placement. It also incorporates technologies from other fields, such as photolithography and electrical and electronic applications.
MembersFaculty
Matsuzaki Lab consists of a professor, an assistant professor, a secretary, postdoctoral researchers, and master's and undergraduate students.As of 2026
- ProfessorRyosuke Matsuzaki
- Assistant ProfessorQuan Jiang
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “HD2-400 x 3 Molding Press” Sam D. Wilbur / CC BY-SA 4.0 (cropped)
- Simulation of forming processes: “488 ton UWA servo hybrid injection molding machine” Mybcs1 / CC BY-SA 4.0 (cropped)
- Data-driven prediction and optimization of forming: “RTM process” No machine-readable author provided. LaurensvanLieshout assumed (based on copyright claims). / Public domain (cropped)
- 3D printing of composite materials: “SLS 3D Systems Printed Duraform HST Pulley Shaft ( )” / CC BY 2.0 (cropped)
- Related lab (岡田研究室): “Harmonic Analysis of Impeller” Ajay B. Harish / CC BY-SA 4.0 (cropped)
- Related lab (高橋研究室): “Electrolytic copper metal crystals” Frey Saori / CC BY-SA 3.0 (cropped)
- Related lab (荻原研究室): “Embroidered composite reinforcement” Elkágyé / CC BY-SA 4.0 (cropped)
- Related lab (荒井研究室): “NIST Dexterous Manipulation Testbed ( )” National Institute of Standards and Technology / Public domain (cropped)
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