Optimization Support Tools - List of Manufacturers, Suppliers, Companies and Products

[Case Study] Optimization of Engine RPM Feedback Control Gain

Demonstrating its power in embedded control environment development! Introducing use cases of optimization support tools.

We would like to introduce a case study where we optimized the engine RPM feedback control gain using our "modeFRONTIER." By optimizing the control parameters within Simulink using "modeFRONTIER," we propose a method to design control characteristics at the algorithm design stage. The control target is a car engine modeled in GT-POWER. The throttle opening was controlled via PID feedback to maintain the engine speed at a specified value. 【Case Study】 ■ Software Used: modeFRONTIER, GT-POWER, MATLAB/Simulink ■ Objective: Optimize control parameters within Simulink using modeFRONTIER ■ Control Target: Car engine modeled in GT-POWER ■ Results ・Controlled the engine speed to the specified value ・Simultaneously optimized parameters in GT-POWER *For more details, please refer to the external link or feel free to contact us.

Company：IDAJ
Price：Other

Scientific Calculation and Simulation Software
Analysis and prediction system

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

[Case Study] Optimization of Common Rail Injection System

Introducing examples of optimization for fuel injection systems!

We would like to introduce a case study on the optimization of injection systems using the coupling of our "modeFRONTIER" and "AVL-Hydsim." We are optimizing parameters such as Nozzle Opening Pressure (NOP), average pressure at SAC, pressure oscillation amplitude, and spray quantity. "modeFRONTIER" is a highly effective tool not only for engine-related applications but also for fuel injection systems like this. [Case Study] ■ Software Used: modeFRONTIER, AVL-Hydsim *For more details, please refer to the external link or feel free to contact us.

Company：IDAJ
Price：Other

Scientific Calculation and Simulation Software
Analysis and prediction system

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

[Case Study] Robust Optimization of ABS Control Parameters

We will introduce examples that have achieved the minimization of braking distance and lateral sway!

We will introduce a case study where the automotive vehicle motion simulation tool "CarSim" was used to optimize ABS control parameters. The ground contact conditions are a very important factor, and the friction coefficient (μ) between the tire and the road surface has many uncertainties due to road conditions. Therefore, it is desirable to select parameters that are as robust as possible against the μ value in response to the requirement of reducing braking distance. Additionally, it is important to ensure straight-line stability during sudden braking on uneven μ roads, which necessitates optimization that considers the need to minimize both braking distance and lateral deviation. By using the multi-objective robust optimization function of "modeFRONTIER," we were able to explore ABS control parameters that excel in straight-line stability and braking performance. [Case Study] - Software Used: modeFRONTIER, CarSim, MATLAB/Simulink - Challenge: Minimize both braking distance and lateral deviation - Result: Successfully explored ABS control parameters that excel in straight-line stability and braking performance *For more details, please refer to the external link or feel free to contact us.

Company：IDAJ
Price：Other

Scientific Calculation and Simulation Software
Analysis and prediction system

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

[Case Study] Front Beam Shape Optimization by FIAT

Introduction of a case where automatic exploration of the optimal shape for the chassis part of a vehicle was achieved!

We would like to introduce a case study from FIAT, where our "modeFRONTIER" is applied to optimize the shape of the chassis of vehicles. By using material properties and dimensions as design variables, we are exploring designs that maintain energy absorption rates during collisions while being lightweight. However, applying collision phenomenon simulations to automated exploration calculations was burdensome, so we first simulated 90 designs using a Latin hypercube method with simulation tools. Based on the results obtained, we generated a response surface and applied the approximation function as a virtual solver to automatically search for the optimal solution. [Case Study] ■ Software Used: modeFRONTIER, MSC.Nastran, Raddioss ■ Objective: To explore lightweight designs that maintain energy absorption rates during collisions ■ Challenge: High computational load for applying collision phenomenon simulations to automated exploration calculations ■ Methodology - Simulated 90 designs using a simulation tool with the Latin hypercube method - Generated a response surface - Applied the approximation function as a virtual solver ■ Result: Achieved automatic exploration of the optimal solution *For more details, please refer to the external link or feel free to contact us.

Company：IDAJ
Price：Other

Scientific Calculation and Simulation Software
Analysis and prediction system

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

[Case Study] Optimization of IPM Motor Shape

You can choose a design that satisfies the designer's preferences from among the Pareto optimal solutions!

Our "modeFRONTIER" demonstrates great power in the development of high-performance motors with new shapes. Not only does it treat material properties as variables, but it also treats shape dimensions as variables, allowing for the selection of designs that satisfy the designer's preferences from the Pareto optimal solutions through multi-objective optimization. Our strength lies in our ability to provide optimization tools while possessing expertise in mesh control. 【Case Study】 ■ Software Used: modeFRONTIER, J-MAG Studio ■ Objective: Development of high-performance motors with new shapes ■ Effects - Treats material properties and shape dimensions as variables - Executes multi-objective optimization - Allows selection of designs that satisfy the designer's preferences from the Pareto optimal solutions *For more details, please refer to the external link or feel free to contact us.

Company：IDAJ
Price：Other

Scientific Calculation and Simulation Software
Analysis and prediction system

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

[Case Study] Optimization of Refrigerator Shape by Electrolux

Introducing a case study that utilizes multidimensional display chart features for optimizing refrigerator shapes!

We would like to introduce a case study from Electrolux that applies our "modeFRONTIER" to the optimization of refrigerator shapes. When designing the performance of a refrigerator, factors such as the thickness of the insulation, the shape, position, and size of the evaporator are considered. Additionally, it is necessary to optimize the temperature distribution and flow velocity distribution inside the refrigerator while minimizing power consumption as much as possible. By using our "STAR-CD" and "modeFRONTIER," it is possible to narrow down suitable shape candidates in light of these trade-off relationships. When there are three or more objective functions, the multidimensional display chart of "modeFRONTIER" proves effective. [Case Study] ■ Software Used: modeFRONTIER ■ Objective: Narrow down candidates for optimal shapes ■ Effect: Compare preferred solutions using the multidimensional display chart *For more details, please refer to the external link or feel free to contact us.

Company：IDAJ
Price：Other

Scientific Calculation and Simulation Software
Analysis and prediction system

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

[Case Study] System Identification of Catalyst and Air-Fuel Ratio Sensor Model

We will introduce a case where the fitting parameters for all 6 cases were identified!

This is an example of fitting the actual measured values of the O2 sensor signal and the output values of the air-fuel ratio sensor model using "MATLAB/Simulink" and "modeFRONTIER." In this case, we explore common fitting parameters (eight parameters for the three-way catalyst model and the O2 sensor model) across six cases. The fitting degree is expressed by the correlation coefficient (R), and the objective function is set to maximize the six correlation coefficients. Additionally, since the matching of the rising edge waveform is important, we impose a constraint on the difference in rising times between the measured values and the model output values. By using the multi-objective optimization algorithm of "modeFRONTIER," the identification of fitting parameters for all six cases was completed in a short time. 【Example】 ■ Software used: modeFRONTIER, MATLAB/Simulink ■ Objective: Fitting the actual measured values of the O2 sensor signal and the output values of the air-fuel ratio sensor model ■ Result: The identification of fitting parameters for all six cases was completed in a short time. *For more details, please refer to the external link or feel free to contact us.

Company：IDAJ
Price：Other

Scientific Calculation and Simulation Software
Analysis and prediction system

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

[Case Study] Optimization of Defroster Shape

Introducing a case of optimizing the shape of the defroster nozzle!

We would like to introduce a case where we applied our "modeFRONTIER" to optimize the shape of the defroster nozzle. The air conditioning in a vehicle's cabin plays a role in ensuring passenger comfort and visibility, and fluid analysis allows for the prediction of flow and temperature distribution due to warm and cool air. Regarding visibility, the goal is to eliminate fogging on the front and side windshields, for which the design of the defroster nozzle is crucial. By investigating and predicting how the flow ejected from the defroster nozzle will create a temperature distribution along the windshield surface, we can optimize the shape of the defroster while considering the fog removal pattern. [Case Study] ■ Software Used: modeFRONTIER, ANSYS CFX ■ Objective: Ensuring passenger comfort and visibility through vehicle cabin air conditioning ■ Challenge: Optimization of the defroster nozzle shape ■ Result: Achieved shape optimization considering the fog removal pattern *For more details, please refer to the external link or feel free to contact us.

Company：IDAJ
Price：Other

Scientific Calculation and Simulation Software
Analysis and prediction system

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

Optimization Support Tools - List of Manufacturers, Suppliers, Companies and Products

Optimization Support Tools Product List