See Analysis Software's detailed category ranking
Heart rate variability analysis from a wearable electrocardiogram.
Vector is a multivariate statistical analysis software that supports various types of data! It enhances usability and enables data visualization.
[Web Demo in Progress] The mist spray volume can be adjusted in multiple stages. Ideal for wide-area and multi-point airflow visualization!
To all businesses that offer services expected to bring about changes in the face and body.
The definitive version of MSPC!
Heart rate variability analysis from a wearable electrocardiogram.
HAROLD Fabry-Pérot (FP) quantum well laser design software
Automation of structural verification realized with Gears Verify! Recommended for those who want to streamline structural verification using analysis data.
A clear introduction to PAT tools used in the actual pharmaceutical industry and what can be done with multivariate statistical analysis.
It can be widely used for data analysis, from data import and visualization to analysis and prediction.
Intuitively interactive! An easy-to-learn hyper-imaging data analysis platform tailored to various types of image files.
Intuitive, visual, and interactive! A simple hyper-imaging data analysis platform tailored to various types of image files.
[Web demo in progress] The mist spray volume can be adjusted in multiple stages. Ideal for wide-area and multi-point airflow visualization!
Streamline data acquisition and analysis! Supported by top-level researchers with extensive experience.
Explanation of valve pressure loss analysis and examples of automotive aerodynamic analysis!
Application of performance analysis of centrifugal pumps that leads to the reduction of social pressure on energy demand!
Application in conjugate heat conduction analysis for electronic component heat dissipation and battery pack cooling analysis for new energy vehicles!
A case where the internal flow field and temperature distribution of the battery pack were predicted with one click!
Examples of the first five non-rigid motion modes, excluding the sixth rigid motion mode!
Examples of products that create a wealth of solutions for diverse applications!
Examples of products that use a friendly and user-friendly wizard-style interactive interface!
Quickly model electronic circuit structures using AIFEM! Evaluate the rationality of temperature and stress distribution.
We will introduce a case where two heat sources were installed on a cooling plate and the cooling performance was evaluated.
Quickly check the response peaks and stress distribution of electronic devices with the frequency response analysis feature!
You can understand the pressure loss of the heat sink water jacket!
Input the necessary design parameters! It is possible to quickly obtain 3D design results.
A case study utilizing the unique feature of AI acceleration! Reducing iterations and achieving efficient analysis.
Learn mapping relationships and build data models! Quickly obtain molds that meet the requirements.
A case study analyzing the temperature distribution of IGBTs and the stress distribution resulting from that temperature.
Only the modified parts of the existing shape are defined by parameters! Various shapes can be created.
One of the investigations into the impact of peak water pressure on structures! A case study analyzing the strength of the pump body.
Improving the performance of centrifugal pumps! A case study applying general-purpose thermal fluid analysis software.
Early warning methods based on machine learning can respond more sensitively to abnormal conditions!
Providing training on gearbox failure characteristics through big data analysis!
A control method that combines "predictive control," "adaptive control," and "feedback correction" is effective!
Efficiently solving complex flow and heat transfer problems! Case study of combustion analysis of a conical burner.
Create parametric and robust CAD models! Various types of complex freeform shapes can be realized.
The goal of the optimization calculation is to maximize fan efficiency at specific flow rates and increase airflow!
Introducing the parametric model of the pump model and the evaluation of H-Q (Head-Flow) and T-Q (Torque-Flow)!
For shape creation, we use CAESES, and for mesh model creation and CFD analysis, we use products from NUMECA!
【Annual rental of 1.5 million yen including maintenance】Contributes to the efficiency of analysis work with high-speed processing by AI and easy GUI operation. *Presenting the "Thermal Fluid Analysis Case Collection"!
The optimization calculation based on AIPOD resulted in a 4.69% reduction in mass!
Evaluated the temperature distribution of the water-cooled plate and model surface!
Explanation of the temperature distribution on the model surface and the temperature distribution in the central cross-section using diagrams!
Improved the first natural frequency from 701.5Hz to 1224.6Hz without breaking the outline boundary of the base model!
Compare the maximum displacements of the analysis results and reference values, and also conduct a verification of the analysis accuracy!
AIPOD is equipped with a direct interface, allowing for flexible process construction!
Optimization of the duct of the catalytic converter using CAESES!
Under the restriction of a pressure loss dp of less than 25 kPa for the water-cooled plate, the temperature difference across the section is reduced by 13.403%!
Predict the flow field and maximum velocity when the airflow velocity at the air conditioning outlet (inlet) is 2 m/s!
By checking the state of the velocity field, we can evaluate what kind of flow is occurring internally!
Optimization calculations are conducted in the design space using the optimization algorithm SilverBullet installed in AIPOD!
The analysis results visualize the static pressure distribution on the model surface, allowing for an understanding of pressure fluctuations!
By comparing the results of strength analysis and eigenvalue analysis with reference results, the verification of AIFEM's analysis accuracy is also conducted simultaneously!
The error in pressure loss is about 2%, demonstrating that the computational capability of AICFD is effective!
Introducing fast prediction of temperature fields using data analysis based on the issues in the development and design of fuel cells!
Conducted heat dissipation simulation of air-cooled motors using AICFD and performed validation of the analysis results!
Using a porous media model! Create and evaluate the temperature distribution map on the model surface and the temperature distribution map of the central cross-section.
Simulating the flow around the vehicle body using the AI acceleration feature equipped in AICFD!
It is possible to efficiently obtain optimal candidate geometry that can be directly supplied to the downstream CAD design process!
The advantages of simulation include reproducibility, short cycles, low cost, and comprehensive and rich flow field analysis capabilities!
Introducing the parametric model of the rear wing created using CAESES' special CAD features!
Implement shape deformation on the injector nozzle using the morphing function!
Introducing the design of intake ports using CAESES and automatic optimization in collaboration with CFD analysis tools!
Utilizing CAESES for the optimization of the rear wing shape attached to racing cars!
A system for automatic optimization has been built using CAESES and commercial CFD analysis tools, resulting in significant improvements to the tire tread pattern!
Supporting development design operations! Introducing features that can be effectively utilized.
The parametric model is created in CAESES, and the adjoint solutions obtained from the commercial CFD tool are mapped to the design variables!
CAESES provides beneficial results across various fields, regardless of the products in question!
In the development of engine combustion processes, 3D CFD analysis is an important tool!
Parametrize the fin shape and arrangement of the heat sink to build a model that can flexibly evaluate various design patterns!
Optimization aimed at minimizing the maximum temperature based on a flexible parametric model has been implemented!
The parametric model created with CAESES can robustly output various complex shapes for use in optimization calculations!
Quickly obtain optimal designs by effectively utilizing simulation-driven optimization calculations!
It is very important to approach optimization from the perspective of fluid dynamics! Introduction to EEXI and CII.
Evaluate the entire process from curing and cooling to transportation and storage, as well as discharge heating and cooling, using AIFEM.
By considering manufacturing constraints, it leads to obtaining an even more ideal shape.
The analysis conditions adopt Mach number, angle of attack, and Reynolds number. A comparison of the wing surface pressure coefficient distribution is also conducted.
A comparison was made between the temperature and pressure results obtained from AICFD and the reference results.
An intuitively easy-to-understand layout! A design that allows for a smooth and easy progression from the interview to measurements.
A unique technology that allows simultaneous measurement of not only the surface of the skin but also its deeper layers.
Reduction of total production costs! It is a collaborative mixed analysis and scale-up tool.
The definitive multivariate analysis software. No command operation required, analysis can be done with just a click!!
Easily perform metabolite identification and quantification using 1H-NMR!
AI that enables disease prevention, precise diagnosis, and effective treatment.
Management of spaces that enable remote droplet and airflow simulations around the world!
We support various businesses through the analysis and utilization of biological signals!
[Biological Signal Processing Program] We will customize general-purpose software to fit your research.
Support for the differentiation between memory decline due to aging and memory impairment caused by Alzheimer's-type dementia.
Support for the differentiation between memory decline due to aging and memory impairment caused by Alzheimer's-type dementia.
Support for the differentiation between memory decline due to aging and memory impairment caused by Alzheimer's-type dementia.
Heart rate variability analysis from a wearable electrocardiogram.