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Optimization Software Product List

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[Data] Bayesian Optimization

[Data] Bayesian Optimization

This is an introduction to a method for exploratory determination of the maximum and minimum values of functions with unknown shapes or functions that cannot be differentiated.

Bayesian optimization is a method for exploratory search to find the maximum or minimum of a function with an unknown overall shape or a function that cannot be differentiated, while estimating the shape of the function. The key point is how to find an optimal value with as few evaluations as possible in situations where unknown evaluations are very time-consuming and costly. In this document, we also include "examples of applications in the FA field," "system integration and wide-ranging proposals," and "an overview of the Pipeline Pilot product." [Examples of Bayesian Optimization Applications] - Optimization of operating conditions for various devices - Exploration of optimal compositions for various materials - Utilization in hyperparameter search for machine learning - Efficient discovery of high-accuracy learning models *For more details, please refer to the PDF document or feel free to contact us.

  • Contract Analysis
  • simulator
  • Other analyses

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Turbo Machinery Optimization Software 'TurboOPT II'

Turbo Machinery Optimization Software 'TurboOPT II'

It is possible to set design variables and objective functions! Introducing the software we handle.

"TurboOPT II" is software that features an interface with Concepts NREC software and commercial optimization software, as well as optimization calculation capabilities within the product. It is characterized by its interface functionality with commercial optimization software (Isight, modeFRONTIER, VisualDOC, IOSO) and optimization calculations using the optimization solver (Adaptive Simulated Annealing). It allows for the setting of design variables and objective functions based on the input and output parameters of Concepts NREC software. [Features] - Interface functionality with commercial optimization software (Isight, modeFRONTIER, VisualDOC, IOSO) - Optimization calculations using the optimization solver (Adaptive Simulated Annealing) - Ability to set design variables and objective functions based on the input and output parameters of Concepts NREC software *For more details, please refer to the related links or feel free to contact us.

  • Other embedded systems (software and hardware)

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[Case Study] Optimization of Ship Shape (1) 'AIPOD'

[Case Study] Optimization of Ship Shape (1) 'AIPOD'

Achieved a 5.01% performance improvement through optimization calculations! This result surpasses the 3.36% of competing software.

We would like to introduce a case study on the optimization of ship shapes using our intelligent optimization software "AIPOD." This software is designed to achieve maximum optimization efficiency. An optimization calculation was performed targeting six design variables, with the objective function being the minimum resistance coefficient and two constraint conditions, using 64 CFD cases. The optimization calculation with 64 cases achieved a performance improvement of 5.01%, surpassing the 3.36% of competing software. 【Case Overview】 ■ By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. ■ AIPOD quickly breaks through artificially created optimization barriers to reach the ideal optimal candidate solution. *For more details, please download the PDF or feel free to contact us.

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  • Other Software

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[Case Study] Optimization of Chip Cooler Structure 'AIPOD'

[Case Study] Optimization of Chip Cooler Structure 'AIPOD'

Rapidly optimize the chip's heat dissipation structure! Provide new ideas and solutions for the design of cooling structures!

We will introduce a case study on the construction of an automatic optimization process for chip cooler structures based on the temperature field analysis function of the general-purpose intelligent optimization software AIPOD and thermal fluid analysis software. To achieve an efficient cooling function, which is a crucial factor in ensuring the stability of the chip, the development of a refined cooler structure is essential. By establishing an automatic optimization process that does not require manual work through the collaboration of simulations using AIPOD and analysis software, we can achieve cost reductions in terms of time and effort required for design development. *For more details, please download the PDF or feel free to contact us.*

  • simulator
  • Other analyses
  • Thermo-fluid analysis

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Optimization of the battery pack beam structure for AIPOD.

Optimization of the battery pack beam structure for AIPOD.

AIPOD is equipped with a direct interface, allowing for flexible process construction!

Using the general-purpose optimization platform AIPOD, we will optimize the battery pack beam structure. By linking software that plays the roles of modeling, meshing, and simulation within AIPOD, we will optimize the battery pack structure used in automobiles and achieve weight reduction of the beam structure. External software is used for modeling, meshing, and simulation, and the optimization process will be built within AIPOD. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.

  • Other analysis software

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[AIPOD] Optimization of Motor Performance for New Energy Vehicles

[AIPOD] Optimization of Motor Performance for New Energy Vehicles

It is possible to thoroughly explore the optimal solution in the specified space based on the input requirements of the motor!

Using the general-purpose optimization platform AIPOD, we will optimize the performance of motors used in new energy vehicles. The performance of the motor is a crucial consideration that directly relates to the driving performance of electric vehicles and similar technologies, and improving output and efficiency is essential for the development of better automobiles. AIPOD is equipped with an interface that allows for easy connection to Motor-CAD, enabling users to easily construct processes within the software. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

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  • Other analysis software

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Introduction to Ship Shape Optimization Method Using CAESES

Introduction to Ship Shape Optimization Method Using CAESES

Obtaining optimal candidate solutions through optimization calculations is an important step that marks the beginning of the concept in design development and the first step towards product improvement.

With the functional enhancements from the CAESES version upgrade and the development of external analysis software, optimization methods are not limited to a certain number and new methods are constantly being explored. There may be some who cannot envision the collaboration between optimization software like CAESES and the analysis software being used. Therefore, in this article, we will introduce two actual cases of ship shape optimization methods using CAESES. *For detailed content of the article, you can view it through the related links. For more information, please download the PDF or feel free to contact us.*

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  • Other analyses

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[Case Study] Optimization of Ship Shape (2) 'AIPOD'

[Case Study] Optimization of Ship Shape (2) 'AIPOD'

A case that demonstrates the ability to appropriately support the discovery of efficient design areas that had been excluded from consideration!

We would like to introduce a case study on the optimization of ship shapes (2) using our intelligent optimization software "AIPOD." This software is designed to be very user-friendly, even for those who are just starting with optimization. We conducted optimization calculations targeting eight design variables, with the objective function being the minimum resistance coefficient, two constraint conditions, and a CFD calculation of 100 cases. The optimization calculation with 83 cases achieved a performance improvement of 4.68%, surpassing the 4.13% of competing software. [Case Overview] - By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. - It can appropriately support the discovery of efficient design areas that were previously considered outside the scope of consideration. *For more details, please download the PDF or feel free to contact us.

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  • Other Software

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[Case Study] Optimization of Hub Shape for Axial Flow Fans 'AIPOD'

[Case Study] Optimization of Hub Shape for Axial Flow Fans 'AIPOD'

Achieved a performance improvement of 52.31%, surpassing the 49.36% of competing software!

We would like to introduce a case study on the optimization of the hub shape of a diagonal flow fan using our intelligent optimization software "AIPOD." This software efficiently finds superior design solutions for structural, thermal fluid, acoustic, and multiphysics coupling problems. We conducted optimization calculations targeting 14 design variables, with the objective function being the maximum pressure difference at the inlet and outlet, and one constraint condition, using 150 CFD calculation cases. The optimization calculations resulted in a performance improvement of 52.31%, surpassing the 49.36% achieved by competing software. [Case Overview] - By enabling the Bound-break function during the AIPOD optimization process, we obtained optimization results that exceeded expectations. - Although competing software was able to capture efficient design areas for several design variables, it was limited to exploring only within that range due to constraints, preventing the discovery of further optimal candidate solutions. *For more details, please download the PDF or feel free to contact us.

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  • 斜流ファンのハブ形状の最適化3.PNG
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Optimization of the performance of the AIPOD battery pack water cooling plate.

Optimization of the performance of the AIPOD battery pack water cooling plate.

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%!

Using the general-purpose optimization software AIPOD, we will optimize the performance of the water cooling plate for battery packs used in new energy vehicles. Under unsteady low-temperature heating conditions and steady flow resistance conditions, when the minimum temperature of the cross-section rises by 5°C, the temperature difference in the Z-direction of the battery cell's 1/2 cross-section decreases, but the pressure loss in the flow path must be less than 25 kPa. The water cooling plate model used here is created with the parametric modeling software CAESES, and only the flow path area inside the water cooling plate will be the target for optimization, while other components and conditions will remain unchanged. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.

  • Other analysis software

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[AIPOD] Shape Optimization of Heat Sinks for IGBTs

[AIPOD] Shape Optimization of Heat Sinks for IGBTs

Optimization calculations are conducted in the design space using the optimization algorithm SilverBullet installed in AIPOD!

Using the general-purpose optimization platform AIPOD, we will implement the pin layout optimization for heat sinks used for IGBTs in electric systems of new energy vehicles. Heat sinks are components that receive heat from a heat source and release it to the outside air. For this purpose, it is ideal for them to have a shape that maximizes surface area in accordance with constraints. Therefore, optimizing heat sinks is an important factor for the stable performance of electronic components and their long-term operation. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

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  • Other analysis software

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