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FsTech

addressKanagawa/Kohoku-ku, Yokohama-shi/802, Shin-Yokohama I.O. Building, 1-3-10 Shin-Yokohama
phone045-620-6839
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last updated:Mar 06, 2025
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Turbo machinery Turbo machinery
Automobile Automobile
Vessel Vessel
Aerospace Aerospace
Electronics Electronics
Energy Energy
Others Others
AICFD AICFD
AIFEM AIFEM
AIPOD AIPOD
DTEmpower DTEmpower
CAESES CAESES
AIPump AIPump
AIFan AIFan
TCAE TCAE
Energy

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[Example] Time Series Forecasting of Electricity Usage 'DTEmpower'

Build a data-driven power usage prediction model using time series forecasting features!

We will introduce a case study that applies the data modeling platform "DTEmpower" to accurately predict electricity usage and support smart power supply. This product features a time series forecasting function, which allows for the construction of data-driven electricity usage prediction models. Using the necessary data for forecasting, we assist in making predictions about future electricity usage. The benefits of the forecasting model include the ability to predict changes in electricity usage in advance, as well as improvements in the economic efficiency of the power system and social benefits. 【Flow for Building the Forecasting Model】 ■ Setting Timing Variables ■ Preprocessing Time Series Data *For more details, please download the PDF or feel free to contact us.

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[AIFEM] Static Analysis of Hydraulic Turbine Guide Vanes

Contributing to the evolution of the energy industry and consideration for the environment! Introducing the design and analysis of guide vanes.

In the 21st century, sustainable energy supply is becoming increasingly important, and among renewable energy sources, hydropower is widely adopted around the world as a clean and efficient means of energy production. The hydraulic turbine, which is a central element of hydropower plants, plays a role in converting the power of water into electricity, and the guide vanes are essential for maximizing performance. Guide vanes play a crucial role in hydraulic turbines, and their design and analysis are indispensable for the development of hydropower technology. This article focuses on the guide vanes of hydraulic turbines and conducts a static analysis using the general-purpose structural analysis software AIFEM. *For more details, you can view the related links. For more information, please download the PDF or feel free to contact us.*

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[DTEmpower] Evaluation of Wind Turbine Hub Strength

Introducing two cases of modeling and data analysis using the data modeling platform DT Empower!

Wind turbines are mainly composed of parts such as blades, pitch control systems, gearboxes, generators, yaw control systems, and hubs. The hub connects the base of the blades to the main shaft of the wind turbine, and the blades experience complex alternating loads such as thrust, torque, and bending moments. Speed is transmitted from the hub to the main drive system through pitch bearings. Therefore, it is necessary to strictly manage the strength and lifespan requirements of the hub throughout the wind turbine. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

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Modal analysis and static analysis of turbine rotors【AIFEM】

Created a mesh model using the mesh creation tool within AIFEM! Results demonstrating the effectiveness of the software.

In this case, we will introduce the modal analysis and static analysis of the turbine rotor using the structural analysis software AIFEM. The analysis results obtained with AIFEM demonstrated the effectiveness of the software through comparison with reference data (a certain commercial software). The model subject to analysis consists of a hub, shroud, and seven blades, forming the turbine rotor. The shape data used is in .stp format, and a mesh model was created using the mesh creation tool within AIFEM. *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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Parametric modeling of turbine blade cooling structures

Introduction to CAESES parametric modeling of blades with cooling structures for optimization!

In gas turbines and steam turbines, the design and optimization of blade cooling structures is a very important issue for designers. The first stage of the turbine can achieve high thermal efficiency as it withstands high temperatures, which opens up infinite possibilities for structural design and fine-tuning to prevent turbine damage under high temperatures and high centrifugal forces. One efficient method to solve this design problem is shape optimization, which involves automatically varying the design parameters of the cooling structure. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

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CFD optimization through integration with AnsysCFD.

An appropriate CAD tool is needed to ensure the generation of various model variations to be analyzed in the automation process!

Ansys CFD tools such as Fluent and CFX receive strong support from engineers for evaluating fluid dynamic behavior in design, along with various options and tools used for mesh creation. These tools provide valuable information and insights regarding the performance to be evaluated. Moreover, they enable automated optimization and design exploration workflows that include CFD. In addition to improving design and shortening development time and design cycles, these tools significantly enhance the development process by increasing information about the impact of various design variables on performance (product behavior) during the initial design phase, where there is a high degree of freedom in decision-making. *For more details, you can view the related links. For more information, please download the PDF or feel free to contact us.*

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Aerodynamic optimization of wind turbine blades

Focus on the slat section of the turbine blade and perform optimization calculations!

The project being introduced this time is "Aerodynamic Optimization of Wind Turbine Blades." The turbine blades of SUZLON, a wind power company in India, underwent aerodynamic optimization using the optimization software CAESES. The goal of this project is to improve the annual energy production (AEP) of wind power through the optimization of turbine blades. *For more details, you can view the related links. For further information, please feel free to download the PDF or contact us.

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Optimization of turbine blade shape

Enabling optimization calculations of parametric models through automated processes!

In this case, we will introduce the shape optimization of gas turbine fixed blades, including end wall contouring, which is a joint project with SIEMENS. An efficient workflow using CAESES can provide significant support for design development. The gas turbine, which is the application in this instance, is a type of internal combustion engine used for driving generators, among other purposes. *For more detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.

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Aerodynamic optimization of vertical axis wind turbines

CAESES can perform optimization calculations and support users in their design tasks!

In this case, we will introduce the optimization calculations for vertical axis wind turbines. FRIENDSHIP SYSTEMS, the developer of the optimization design system CAESES, investigated the aerodynamic behavior of vertical axis wind turbines using the mesh generation software Pointwise. As a first initiative, FRIENDSHIP SYSTEMS connected the automatic mesh generation by Pointwise with CAESES and executed a method to optimize vertical axis wind turbines in 2D using various tools, including analysis software. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

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A New Approach to the Design of sCO2 Axial Flow Turbines

Introducing a design case of a supercritical carbon dioxide axial flow turbine for waste heat recovery (WHR) in a 10MW class power plant!

In conventional thermal and nuclear power plants, steam and combustion gases are used as working fluids to drive turbines and generate electricity. In this case, we will introduce a design method for axial flow turbines using supercritical carbon dioxide (sCO2) as the working fluid, which reaches a supercritical state under relatively mild conditions using CAESES. The supercritical state exhibits properties that are intermediate between gas and liquid, and due to its high density and heat capacity, it has the potential to improve cycle efficiency compared to using gases below the critical point. *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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Verification of CFD Simulation of Francis Turbine Using TCFD

The actual data of the Francis turbine was measured at the FORTUNAII hydroelectric power station in Minas Gerais, Brazil!

This project report is a collaboration with Hidroenergia, a water turbine manufacturer, and involved the verification of CFD simulations for Francis turbines using TCFD software. In this project, tests were conducted on existing turbines, and as a result of comparing the test data with the simulation data, the turbine efficiency and power values obtained from the TCFD software matched very well. *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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Parametric modeling of turbine cooling blades

It is now possible to automatically optimize the cooling structure and cooling performance in conjunction with changes to the blade shape!

The blades used in aircraft engines and gas turbines become very hot, so cooling air is supplied to the countless holes on the blade surface through cooling passages provided inside the blades. In conventional design methods, automatic optimization was considered difficult due to the complexity of shapes, robustness of mesh generation, and computation time. However, this case presents an example of fully automated optimization using CAESES. *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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Prediction of Oil Drilling Drill Speed

Introducing methods to quickly and accurately predict the rotation speed of drills using machine learning.

In March 2024, China drilled a 10,000-meter oil well in the center of the Taklamakan Desert, making it the first of its kind in the country and the second in the world. It is difficult to ascend into the sky, and even more challenging to descend to the ground. For aerospace, an altitude of 10,000 meters is significant, but when it comes to going underground, 10,000 meters can be said to represent the limits of human technology. For every 100 meters dug into the ground, the temperature increases by about 2°C, and pressure also rises. At a depth of 10,000 meters, one would be exposed to temperatures exceeding 200°C and pressures exceeding 130 MPa. *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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