We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Optimization Support Tools.
ipros is IPROS GMS ・ IPROS One of the largest technical database sites in Japan that collects information on.

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

Optimization Support Tools Product List

16～21 item / All 21 items

Displayed results
[Case Study] Optimization of Common Rail Injection System

[Case Study] Optimization of Common Rail Injection System

Introducing examples of optimization for fuel injection systems!

We would like to introduce a case study of optimizing an injection system through the coupling of our "modeFRONTIER" and "AVL-Hydsim." We are optimizing parameters such as Nozzle Opening Pressure (NOP), average pressure at SAC, pressure fluctuation 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
  • Other analyses
  • simulator

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

[Case Study] Robust Optimization of ABS Control Parameters

We will introduce a case that achieved the minimization of braking distance and lateral sway!

We will introduce a case study of optimizing ABS control parameters using the automotive vehicle motion simulation tool "CarSim." The ground contact conditions are a very important factor, and the friction coefficient (μ) between the tires 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 for shortening the braking distance. Additionally, ensuring straight-line stability during sudden braking on uneven μ roads is also important, 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 with excellent 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
  • Other analyses
  • simulator

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

[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 can material properties be treated as variables, but shape dimensions can also be treated 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 - Treating material properties and shape dimensions as variables - Executing multi-objective optimization - Selecting 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
  • Other analyses
  • simulator

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

[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 a multidimensional display chart *For more details, please refer to the external link or feel free to contact us.

  • Company：IDAJ
  • Price：Other
  • Other analyses
  • simulator

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

[Analysis Case] 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 case study presents 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 study, 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 utilizing the multi-objective optimization algorithm of "modeFRONTIER," the identification of fitting parameters for all six cases was completed in a short time. 【Case Study】 ■ 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: 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
  • Other analyses
  • simulator

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

[Case Study] Optimization of Defroster Shape

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

We will introduce a case study where our "modeFRONTIER" was applied 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 can predict the temperature distribution caused by airflow and hot/cold 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 the temperature distribution of the airflow ejected from the defroster nozzle 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
  • Other analyses
  • simulator

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

Related Categories of Optimization Support Tools

COPYRIGHT © 2001-2025 IPROS CORPORATION ALL RIGHTS RESERVED.