Research Profiles

JP

"F" Keywords - 51 Result(s)

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 F

[floods]

Prediction and evaluation of future thermal and wind environments based on CFD, and planning of urban environments adaptable to future climate

 
 
 
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特徴・独自性
  • Numerical simulations of the physical environment of urban outdoor spaces are conducted to predict the physical environment, such as temperature, humidity, wind, and pollutant concentration, and field measurements are conducted to understand the actual physical environment. In addition, the future outdoor environments and heat stroke risks due to global warming are predicted and evaluated.
    Furthermore, the impacts of urban morphology (building shape and layout, street trees, etc.) on the adaptation to severe heat in summer and rare typhoons and floods are evaluated quantitatively.
実用化イメージ

Numerical analysis is used to quantitatively evaluate the "merits and demerits" of designing buildings, planning city blocks and urban areas, and introducing various heat control technologies on the wider thermal environment and the formation of wind ventilation paths, as well as the adverse effects of typhoons and other disasters. The materials for making decisions on whether or not to introduce these technologies are provided.

Researchers

Graduate School of Engineering

Yasuyuki Ishida

[Flow path change]

Development of a Numerical Prediction System for Sliding Part Wear and Seizure Occurrence Portions

 
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概要

Focusing on the lubricant film flow with phase change between the engine piston pin and connecting rod small end, we developed a new multiphase fluid-structure coupled analysis method that takes into account elastic deformation of the structure and flow path changes and developed a simulation prediction method for tribological properties under high load conditions. The simulation prediction method for tribological properties under high load conditions has been created. As a result, we succeeded in simulation prediction of the wear/seizure generating areas in sliding parts. We discovered that the peculiar deformation behavior of the components is the cause of wear/seizure.

従来技術との比較

It has been thought that computational prediction is impossible to verify the wear and seizure locations in fluid lubrication. Still, this study succeeded in the simulation prediction of wear and seizure locations in sliding parts.

特徴・独自性
  • Numerical prediction of the wear and seizure locations in the sliding parts of engine piston pins was successfully performed.
  • The bow-like deformation of the piston pin was identified as the cause of mechanical contact and seizure at the connecting rod edge.
  • A three-dimensional multiphase fluid-structure coupled analysis method has been successfully developed, considering the piston pin's elastic deformation and connecting rod and thin-film cavitation1 lubrication with unsteady flow path changes.
実用化イメージ

This research method applies to automotive engines and all sliding component elements using fluid lubrication. It contributes to damage prediction and the development of safety guidelines for transportation and industrial machinery components, enabling the optimal design of components.

Researchers

Institute of Fluid Science

Jun Ishimoto

[Fluid Dynamics]

Data science-based analysis for unsteady aerodynamic flows

 
 
 
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概要

Our group studies a range of unsteady flow phenomena leveraging data science, nonlinear machine learning, complex network theory, information theory, and computational fluid dynamics. Our ultimate goal is to build a data-oriented foundation for real-time analysis, modeling, and control of unsteady flows ubiquitously appearing in various situations around small air vehicles, airplanes, motor vehicles, and fluid-based industrial machines.

従来技術との比較

Equipped with nonlinear machine learning-based sparse sensor reconstruction and data compression supported through traditional numerical and experimental analysis, our approach enables high-resolution reconstruction, real-time prediction, and control of flow fields with limited availability of data.
These techniques are aimed at analyzing and controlling large-scale, complex nonlinear flow phenomena that have been challenging to tackle with conventional linear methods.

特徴・独自性
  • ・Real-time spatiotemporal flow field reconstruction from sparse sensors is enabled by turbulence super-resolution analysis with machine learning.
  • ・Understanding and modeling of unsteady fluid flows at low cost is made possible through low-dimensional manifold identification and compression.
  • ・Development of explainable machine-learning approaches for analyzing causal vortex interactions based on complex network theory and information theory.
  • ・Multi-modal data analysis through the fusion of numerical, experimental, and theoretical data.
実用化イメージ

Our group aims to develop technologies that accurately sense, predict, model, and control fluid flows —such as air and water— around objects including airplanes, automobiles, and wind turbines, even with sparse sensor information.

These technologies can contribute to society in various ways, including:
・Improving fuel efficiency and safety of aircraft
・Enhancing the aerodynamic performance of vehicles for energy savings
・Supporting disaster prevention through wind flow prediction during emergencies

We actively seek to co-create innovations through joint research with industrial companies interested in the following areas:

・Predicting and controlling fluid flows using AI and machine learning
・Understanding flow structures through information theory and network science
・Building highly accurate and reproducible models by integrating traditional fluid dynamics with modern data-driven methods

Equipped with physics-based nonlinear machine learning, we are working to develop groundbreaking fluid analysis technologies that benefit a wide range of industrial, environmental, and societal applications.

Researchers

Graduate School of Engineering

Kai Fukami

[Fluid Engineering]

Data science-based analysis for unsteady aerodynamic flows

 
 
 
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概要

Our group studies a range of unsteady flow phenomena leveraging data science, nonlinear machine learning, complex network theory, information theory, and computational fluid dynamics. Our ultimate goal is to build a data-oriented foundation for real-time analysis, modeling, and control of unsteady flows ubiquitously appearing in various situations around small air vehicles, airplanes, motor vehicles, and fluid-based industrial machines.

従来技術との比較

Equipped with nonlinear machine learning-based sparse sensor reconstruction and data compression supported through traditional numerical and experimental analysis, our approach enables high-resolution reconstruction, real-time prediction, and control of flow fields with limited availability of data.
These techniques are aimed at analyzing and controlling large-scale, complex nonlinear flow phenomena that have been challenging to tackle with conventional linear methods.

特徴・独自性
  • ・Real-time spatiotemporal flow field reconstruction from sparse sensors is enabled by turbulence super-resolution analysis with machine learning.
  • ・Understanding and modeling of unsteady fluid flows at low cost is made possible through low-dimensional manifold identification and compression.
  • ・Development of explainable machine-learning approaches for analyzing causal vortex interactions based on complex network theory and information theory.
  • ・Multi-modal data analysis through the fusion of numerical, experimental, and theoretical data.
実用化イメージ

Our group aims to develop technologies that accurately sense, predict, model, and control fluid flows —such as air and water— around objects including airplanes, automobiles, and wind turbines, even with sparse sensor information.

These technologies can contribute to society in various ways, including:
・Improving fuel efficiency and safety of aircraft
・Enhancing the aerodynamic performance of vehicles for energy savings
・Supporting disaster prevention through wind flow prediction during emergencies

We actively seek to co-create innovations through joint research with industrial companies interested in the following areas:

・Predicting and controlling fluid flows using AI and machine learning
・Understanding flow structures through information theory and network science
・Building highly accurate and reproducible models by integrating traditional fluid dynamics with modern data-driven methods

Equipped with physics-based nonlinear machine learning, we are working to develop groundbreaking fluid analysis technologies that benefit a wide range of industrial, environmental, and societal applications.

Researchers

Graduate School of Engineering

Kai Fukami

[Fluid-structure interaction]

Development of a Numerical Prediction System for Sliding Part Wear and Seizure Occurrence Portions

 
NEXT
PREV
概要

Focusing on the lubricant film flow with phase change between the engine piston pin and connecting rod small end, we developed a new multiphase fluid-structure coupled analysis method that takes into account elastic deformation of the structure and flow path changes and developed a simulation prediction method for tribological properties under high load conditions. The simulation prediction method for tribological properties under high load conditions has been created. As a result, we succeeded in simulation prediction of the wear/seizure generating areas in sliding parts. We discovered that the peculiar deformation behavior of the components is the cause of wear/seizure.

従来技術との比較

It has been thought that computational prediction is impossible to verify the wear and seizure locations in fluid lubrication. Still, this study succeeded in the simulation prediction of wear and seizure locations in sliding parts.

特徴・独自性
  • Numerical prediction of the wear and seizure locations in the sliding parts of engine piston pins was successfully performed.
  • The bow-like deformation of the piston pin was identified as the cause of mechanical contact and seizure at the connecting rod edge.
  • A three-dimensional multiphase fluid-structure coupled analysis method has been successfully developed, considering the piston pin's elastic deformation and connecting rod and thin-film cavitation1 lubrication with unsteady flow path changes.
実用化イメージ

This research method applies to automotive engines and all sliding component elements using fluid lubrication. It contributes to damage prediction and the development of safety guidelines for transportation and industrial machinery components, enabling the optimal design of components.

Researchers

Institute of Fluid Science

Jun Ishimoto

[fluorescence microscopy]

Imaging and photoregulation of biological functions

特徴・独自性
  • To properly understand the functions of biomolecules, it is essential to observe them under physiological conditions where the interactions with other biomolecules are preserved. Therefore, we are developing new functional molecules using both organic chemistry and protein science approaches, and working on the visualization and optical control of biomolecules and their functions. Especially, we have developed fluorescent probes that quantitate the concentration of biomolecules or ions in subcellular regions such as organelles and caged compounds and photoswitches that optically manipulate the biomolecular functions.
実用化イメージ

Researchers

Institute of Multidisciplinary Research for Advanced Materials

Shin Mizukami

[fluorescence moire alignment]

Photo-Functional Advanced Materials for Nanofabrication by Nanoimprint Lithography

 
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特徴・独自性
  • Nakagawa group has dedicated to pursue scientific principles for molecular control of interface function occurring at polymer/other material interfaces and to put them into practice in nanoimprint lithography promising as a next generation nanofabrication tool. We are developing advanced photo-functional materials such as sticking molecular layers for "fix by light", UV-curable resins and antisticking molecular layers for "preparation by light", fluorescent resist materials for "inspection by light", and hybrid optical materials "available to light" and new research tools such as mechanical measurement systems to evaluate release property of UV-curable resins.
実用化イメージ

Our research aims at creating new devices to control photon, electron, and magnetism.

Researchers

Institute of Multidisciplinary Research for Advanced Materials

Masaru Nakagawa

[fluorescent probes]

Imaging and photoregulation of biological functions

特徴・独自性
  • To properly understand the functions of biomolecules, it is essential to observe them under physiological conditions where the interactions with other biomolecules are preserved. Therefore, we are developing new functional molecules using both organic chemistry and protein science approaches, and working on the visualization and optical control of biomolecules and their functions. Especially, we have developed fluorescent probes that quantitate the concentration of biomolecules or ions in subcellular regions such as organelles and caged compounds and photoswitches that optically manipulate the biomolecular functions.
実用化イメージ

Researchers

Institute of Multidisciplinary Research for Advanced Materials

Shin Mizukami

[fMRI]

Food Palatability, Product Usability, and Preference; An Approach from Psychology and Neuroscience.

 
 
 
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特徴・独自性
  • My research interest is peoples' perception of external stimulus. Based on these researches and our knowledge, I can offer you an idea of the products that give consumers satisfaction. Also on the basis of psychological and neuro-scientifc experiences and knowledges, I can offer you a transdisciplinary approaches on human perception, cognition, emotion and decision making.
実用化イメージ

Marketing and developing of the products such as foods, beverages, fabric softeners, perfumes, body deodorants etc. The knowledges and research tools are also useful in regulating the malodor in the air pollution, in developing the public services and in elevating public quality of life.

Researchers

Graduate School of Arts and Letters

Nobuyuki Sakai

Brain Mechanism Realizing Human Mind

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特徴・独自性
  • I am investigating the brain mechanism of human mind. Specifically, my target is the internal schema that dissociate the self and other in the following three layers: physical, interpersonal, and social domains.
実用化イメージ

  • Improvement of the interface of the system
  • Clarifying the neuro-cognitive mechanism of the effect on the customer
  • New concept of the customer satisfaction

Researchers

Institute of Development, Aging and Cancer

Motoaki Sugiura

[Focused metabolomics]

Discovery of diagnostic markers by metabolomics

 
 
 
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特徴・独自性
  • Losing cholesterol homeostasis with inborn errors of metabolisms or hepatobiliary diseases makes a change to in vivo cholesterol metabolism profile and causes the emergence of increased metabolites as conjugates in blood and urine. We have developed an LC/ESI-MS/MS method using fragment patterns characteristic of conjugation types for group-specific and comprehensive analysis of conjugated cholesterol metabolites. This method can contribute for an efficient discovery of diagnostic marker candidates toward various diseases.
実用化イメージ

After availability verification of candidates as diagnostic markers, it will be required screening tests. We have potential to collaborate with company for development of bioassay systems using antibodies or enzymes.

Researchers

Tohoku University Hospital

Nariyasu Mano

[food palatability]

Food Palatability, Product Usability, and Preference; An Approach from Psychology and Neuroscience.

 
 
 
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特徴・独自性
  • My research interest is peoples' perception of external stimulus. Based on these researches and our knowledge, I can offer you an idea of the products that give consumers satisfaction. Also on the basis of psychological and neuro-scientifc experiences and knowledges, I can offer you a transdisciplinary approaches on human perception, cognition, emotion and decision making.
実用化イメージ

Marketing and developing of the products such as foods, beverages, fabric softeners, perfumes, body deodorants etc. The knowledges and research tools are also useful in regulating the malodor in the air pollution, in developing the public services and in elevating public quality of life.

Researchers

Graduate School of Arts and Letters

Nobuyuki Sakai

[Food Poisoning]

Development of a Novel Quantification Method for Diarrhetic Schell Fish Poisoning

特徴・独自性
  • We have investigated isolation and structure determination of natural products and evaluated mode of their actions. We have especially focused on marine natural products causative for a food poisoning, diarrheic shellfish poisoning (DSP), which has spread worldwide and threatened regional fishery industry. Dinophysistoxin produced by the dinoflagellate Dinophysis spp. and okadaic acid, are thought to be responsible for DSP. Acute toxicity test using mice has been the primary method for detection of DSP in the fish market, though an alternative method to quantify DSP without sacrificing mice has been requested. We isolated OABP2, a novel okadaic acid binding protein, from the marine sponge Halichondria okadai and succeeded in expression of the recombinant OABP2 in E. coli, which eventually showed high affinity to the DSP toxins.
実用化イメージ

We are now working on visualization of OA by utilizing OABP2 in order to provide an easy and quick quantification method for DSP.

Researchers

Graduate School of Agricultural Science

Keiichi Konoki

[Formative Feedback]

Development of an AI Diagnostic Model for Summarization Skill and Metacognitive Ability in English Listening and Reading Comprehension-Based Summarization

 
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概要

Having devoted many years to English language education, my primary research interest lies in its pedagogical applications. Writing summaries in English is widely recognized as a crucial academic literacy skill for English language learners. However, English summarization is an exceptionally demanding cognitive skill that proves challenging to acquire, as it requires multiple competencies: summarizing skills, English writing skills, and metacognitive abilities. Consequently, English learners, despite being able to comprehend information in English and mentally organize it, frequently fail to produce high-quality summaries due to constraints in their English writing skills.
Our current research focuses on developing an AI-based diagnostic model designed to assess not only overall English summarization performance but also learners’ underlying summarizing skills and metacognitive abilities based on English summaries produced by Japanese English learners.

従来技術との比較

The development of an AI model that estimates and diagnoses summarizing skills and metacognitive abilities addresses criteria missing in conventional assessment frameworks, and our research, as an interdisciplinary study integrating English education, cognitive psychology, and natural language processing, is expected to make valuable contributions to both educational practice and academic research.

特徴・独自性
  • A distinctive feature of our research is its attempt to define the fundamental nature of summarizing skills more precisely by comparing summaries produced by Japanese English learners in both English and their first language, Japanese, with a particular focus on the presence or absence of barriers related to writing skills.
  • Furthermore, our research prioritizes high authenticity by targeting English source materials that integrate both listening and reading comprehension for summarization tasks. This integrated approach realizes assessment conditions that more closely approximate actual classroom environments and study-abroad learning contexts.
実用化イメージ

The AI-based diagnostic model developed in our study is expected to contribute to the improvement of summary writing instruction in English language education and to reduce teachers’ assessment burden. Teachers will be able to understand the extent to which learners have acquired summarizing skills and how effectively they can utilize metacognitive strategies when they write English summaries, thereby facilitating the provision of more effective instructional strategies and formative feedbacks. Furthermore, in the longer term, the diagnostic data of our study may support the development of online instructional materials incorporating VR (Virtual Reality) avatars, as well as the design of engaging learning environments in which avatars provide both verbal and non-verbal feedbacks at appropriate moments, thereby enhancing learner motivation.

Researchers

Graduate School of Arts and Letters

Makiko Kato

[FPD]

Development of Interconnect Materials and Processes for High Performance and High Reliability Electric Devices

 
 
 
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特徴・独自性
  • Electronic products can be operated not only by semiconductors but also by metal interconnections attached to the semiconductors. Required properties for the metal interconnections are ohmic contact, diffusion barrier property, adhesion with semiconductors, and low resistivity, corrosion resistance, process reliability. Our group has committed ourselves to develop new metals and processes to meet the needs of wide-ranged device producers with consideration of cost performance. Topics of our research include (1) Cu alloys to self-form a diffusion barrier layer in multilayer interconnection of Si devices, (2) Cu alloys to form a reaction-doping layer in IGZO oxide semiconductors, (3) Nb alloys to achieve mechanical and thermal reliability with good ohmic property for SiC power devices, (4) Cu alloys for transparent conductive oxide such as ITO, (5) screen-printable Cu paste lines for solar cells, etc..
実用化イメージ

Our research efforts are targeted at metallization and interconnections for advanced LSI, flat panel displays, touch panels, power modules, solar cells, and other electronic devices. Collaborators include material producers, equipment vendors, and device producers in the entire value chain of electronic products.

Researchers

New Industry Creation Hatchery Center

Junichi Koike

[Fracture mechanics]

Development of integrated safety management technology for hydrogen energy systems

 
 
 
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特徴・独自性
  • To investigate the diffusion and combustion phenomena of reactive hydrogen gas leakage when a high-pressure hydrogen tank fails due to crack propagation caused by an initial defect, we have developed a coupled analysis method that simultaneously analyzes the material structure and reactive turbulent multiphase flow through an interdisciplinary research approach. Furthermore, we have developed a new numerical prediction method related to the diffusion flow characteristics and combustion limits of hydrogen leaking due to crack propagation failure of high-pressure tank bulkheads.
実用化イメージ

We contribute to the design of hydrogen storage containers for various types of transportation equipment and the development of safety guidelines and risk management for hydrogen station configurations.

Researchers

Institute of Fluid Science

Jun Ishimoto

[Fraudulent transaction conditions]

Consumer evaluation of the binding nature of terms and conditions in online transactions.

概要

In light of the increase in online transactions since the onset of the pandemic, this study examines how consumers' tendency to agree to terms and conditions without reading them in detail affects
consumers' perception of binding force of fine print contracts. Building on previous research in the United States, we conducted an online experiment targeting Japanese consumers and analysed their responses to different virtual scenarios involving financial products and sports clubs, including fraudulent conditions.

従来技術との比較

Unlike previous studies, which focused on face-to-face transactions, this study examines online transactions in Japan. It takes a unique approach by investigating the impact of website explanations, the stepwise effect of consumers' purchase behavior, and the effect of different transaction targets, such as financial products and sports clubs.

特徴・独自性
  • The following findings were obtained from the online experiment.
  • (1) In online transactions, the presence of terms and conditions makes consumers strongly aware of their binding nature. Even if the terms and conditions contain unfair contents, consumers believe that they have 'agreed' to them and are bound by them simply by virtue of their existence and the act of clicking or tapping on them.
  • (2) The effect of explanations on websites in strengthening the binding force of terms and conditions is limited.
  • (3) The evaluation of the binding nature of terms and conditions by consumers varies depending on the type of transaction, e.g. financial products versus sports club memberships. In everyday sports club transactions, consumers tend to evaluate unfair conditions more strictly.
実用化イメージ

The results of this study suggest two practical measures for creating a fair trading environment: policy formulation and legal reform.
(1) Consumer protection laws and cancellation rules must be strengthened to prevent unfair trading practices.
(2) Since the impact of binding rules varies depending on the type of goods and services, it is necessary to formulate sector-specific policies.

Researchers

Graduate School of Law

Hatsuru Morita

[FRCC]

[Fuel]

Quantitative analysis of microstructure in nuclear materials by week-beam scanning transmission electron microscopy

 
 
 
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概要

We have developed a technique for quantitative analysis of microstructures (e.g., dislocations and irradiation defect aggregates) of activated and nuclear-burned specimens in the context of the Week Beam Scanning Transmission Electron Microscope (WB-STEM) method, which boasts extremely high measurement accuracy as a quantitative analysis method for lattice defects.
In combination with a dedicated heated sample holder with fully automated temperature measurement and current control in a cartridge-type heating furnace, changes in dislocation microstructure can be dynamically measured in-situ along with a highly reliable temperature history.

従来技術との比較

Conventional TEM methods require expertise in reciprocal space and dislocation theory, but our WB-STEM method is equipped with automatic analysis software for film thickness measurement and dislocation loop feature extraction, making it possible to analyze irradiation defects easily and precisely.

特徴・独自性
  • Since its design, the WB-STEM method has been developed for implementation and on-site repair in radiation controlled areas where nuclear materials are handled, with special aperture and diffraction disc selection equipment, control and analysis software.
  • WB-STEM accepts irradiation defect analysis of activated specimens from all over the world, including RPV monitoring specimens from European reactors and neutron-irradiated materials from US research reactors.
  • It is also used to analyze the properties of iron-containing nuclear fuel simulated debris in decommissioning projects.
実用化イメージ

We support research organizations that currently use transmission electron microscopy to observe microstructures to introduce the WB-STEM method by special modification. We will instruct researchers who have no experience using transmission electron microscopy in the procedure for dislocation analysis.

Researchers

Institute for Materials Research

Kenta Yoshida

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