Kobelco Research Institute, Inc.

Affiliated to KOBE STEEL, LTD and headquartered in Kobe, Japan, Kobelco Research Institute, Inc., employs more than 1300 employees, including many with PhDs.

From analysis, testing, and measurement to manufacturing and related testing, Kobelco Research supports customer business through a variety of approaches.

Analysis

Support for Solving R&D and Manufacturing Problems in All Types of Industries

The analytical and technical strength of Kobelco Research provides support for research, development, and manufacturing problems in all types of industries addressing materials, organic, environmental, and physical analysis.

Prototype/Experiments

Support for New Product and Process R&D, Including Ferrous and Nonferrous Materials

Services performed include clean room, soil, and other environmental testing; materials-related stress measurement; and nondestructive testing (detection and evaluation of surface and internal defects in materials and structures, integrity and quality evaluation, and detection and evaluation of materials damage and degradation).

Testing

Support for R&D Work as Industry Structures Change

As industry structures change, demand for new corrosion-resistant materials and surface treatment technologies is increasing. When new technology development in these areas is needed, the research and development work itself can be performed on a contract basis.

Multiphysics Expertise and Scope of Business

• Battery and electrochemistry
• Chemical engineering
• Vibration and acoustics
• CFD
• Structural mechanics, thermal stress, and fracture
• Electromagnetics (motor, invertor, EMC, etc.)
• Heat transfer and thermal management
• Coating and printing
• Corrosion and erosion
• Modeling and optimization using machine learning
• Analysis service, model construction, and modeling consultation
• Testing, measurement, prototype experiments, and proof of concept (POC) modeling

Simulation Technologies for Li-Ion Batteries

Topics (View details):

• Equivalent circuit model for battery management system
• Physicochemical simulation using FIB-SEM image
• Battery safety simulations, nail penetration tests, and burning tests
• Battery degradation simulation
• Machine learning and deep learning with modeling in COMSOL Multiphysics^®