Element Simulation and Parameter Optimization Design Technology Overview
■ Introduction
Product performance is influenced by three major factors—geometry, material properties, and process parameters—and is often determined by the coupling of multiple physical and chemical phenomena.
This simulation technology integrates Finite Element Method(FEM)and Finite Volume Method(FVM)to establish predictive models validated through experimental data.The approach enables in-depth analysis and design of product characteristics. Furthermore, based on target performance requirements, the method performs inverse optimization to derive the optimal geometry, materials, and process parameters.
■ Features
▶ Customized Modeling: Develops models and defines input/output parameters tailored to
customer-specific requirements.
▶ Broad Application Scope: FEM/FVM can be applied across diverse industries—including
semiconductors, steelmaking, and passive components—for the analysis of fluid
dynamics, particle transport, heat transfer, electrical behavior, and chemical reactions.
▶ Integration of Virtual and Physical Systems: Simulation models are calibrated using
experimental data to ensure realistic accuracy, while simulations also provide predictive
insights for parameters that are difficult to measure in real environments.
▶ Cost and Time Efficiency: Numerical simulations allow rapid evaluation of geometric and
process variations, minimizing trial-and-error efforts, material waste, and experimental
expenses.
▶ Automated Modeling: Automated model generation significantly reduces repetitive preprocessing
tasks. Parameterized model features can be added to create customized
simulation components efficiently.
■ Services Capabilities
▶ Flow Field/Stress/Thermal Analysis.
▶ Chemical and Combustion Reaction Modeling.
▶ Particle Motion and Multiphysics Coupled Simulation.
▶ Equipment Structure, Material, and Process Parameter Optimization.
▶ Automated Modeling and Design Tools.
Material Digital Design and Application Service Platform
■ Introduction
▶ The Multiscale Simulation Laboratory was founded in 2001 and has 20 years of R&D energy
related to material simulation. By integrating numerical calculations, interdisciplinary models and
AI technologies, we assist the industry in rapid transformation and develop low-carbon circular
economy materials, next-generation ICT/5, 6G materials and high-value petrochemical innovative
materials.
▶ We use multi-scale simulation and design technology, machine learning and carbon reduction
diagnosis technology, interdisciplinary material design technology, and combined with simulation
and AI platform to help domestic industry personnel to shorten the development cycle of new
materials, and accelerate material R&D design, modification, screening and differentiated product
development.
■ Features
▶ Quick prediction and design of physical properties of various polymers, additives, dispersants and
other formulations.
▶ Prediction and dispersion simulation of physical properties,compatibility, arious polymers,
copolymerized polymers, mixed polymers, polymer composites, polymer solutions and colloids,
etc.
▶ Multi-scale integration of material simulation/experiment/test/process information for digital
material design and formula optimization.
■ Services Capabilities
▶ Customized entrusted technical service projects.
▶ Integrated solution for customized material design and development.
▶ Assist the material industry to integrate and introduce AI technology.
▶ Customized technology integration and application.
■ Contact Us
Material and Chemical Research Laboratories
Dept. of Multiscale Material Simulation(M200)
Tien-Jung Huang
Tel:+886-3-5915330
Email:TJHuang@itri.org.tw