FsTech Product Lineup

We will introduce a case study of impeller design for a centrifugal pump with a specific speed of 320 using the pump-specific design software "AIPump." By simply inputting the necessary design parameters, you can quickly obtain the three-dimensional design results of the pump impeller. Additionally, through high-speed performance analysis of the design results, it is possible to instantly check key data such as efficiency. Furthermore, a high-speed performance analysis was conducted on the created impeller with a specific speed of 320, and the analysis results showed that the efficiency is 82.04. 【Design Parameters】 ■ Flow Rate (Q): 180m³/h ■ Head (H): 40m ■ Rotational Speed (n): 2950rpm ■ Impeller Outlet Diameter (D2): 194.678mm ■ Impeller Outlet Width (b2): 22.347mm ■ Impeller Inlet Diameter (Dj): 105.858mm *For more details, please download the PDF or feel free to contact us.

We would like to introduce the AI-accelerated analysis of a guide vane pump using the general-purpose thermal fluid analysis software "AICFD." In multi-domain and rotating machinery analysis cases, we utilize the unique AI acceleration feature of this product. By reducing the number of iterations required for calculations through AI acceleration, we achieve efficient analysis. In this case study, we were able to achieve a 27% reduction in computation time without compromising accuracy. 【Analysis Conditions】 ■ Mesh Model: Unstructured Grid 2.1 million ■ Inlet Velocity: 4.49 m/s ■ Turbulence Model: SST k-ω ■ Iterations: 5000 *For more details, please download the PDF or feel free to contact us.

We will introduce a case study on the strength analysis of a compressor using the general-purpose finite element analysis software AIFEM. A compressor is a device that converts mechanical energy into fluid energy, consisting of multiple moving blades (rotors) and stationary blades (stators). The moving blades rotate at high speeds, compressing the gas within the flow path and increasing its energy. During this process, the impact of centrifugal force is particularly significant, necessitating high strength in the moving blades; therefore, strength analysis that adequately considers centrifugal force loading is crucial. With AIFEM's efficient pre-post processing and high-precision solver, we achieve a faster analysis process in development design and shorten the design cycle. *For more details, please download the PDF or feel free to contact us.*

We would like to introduce a case study of static analysis of a pump structure using the general-purpose finite element analysis software "AIFEM." The pump model being analyzed consists of two components: the main body and the cover, which are connected by a flange. By investigating the pressure distribution of the pump, it is possible to confirm the mechanical properties of the structure and quickly evaluate the design in question. 【Analysis Conditions】 ■ Material - Young's Modulus: 205000 [MPa] ■ Material - Poisson's Ratio: 0.28 ■ Load Condition: C surface 4.5 [MPa] ■ Component Joint: D surface, E surface ■ Constraint Conditions: A surface, B surface *For more details, please download the PDF or feel free to contact us.

We would like to present a case study where the general-purpose thermal fluid analysis software "AICFD" was used to analyze the head and shaft power of a centrifugal pump, comparing the results with experimental values. The mesh model adopted an unstructured mesh with a total cell count of 1.2 million. When comparing the experimental values with the analysis results, a deviation of 1.70% was confirmed for both output (kW) and head (m). 【Analysis Conditions】 ■ Inlet Condition: 69.46 [L/s] ■ Outlet Condition: Static Pressure 0 [Pa] ■ Rotational Speed: 980 [RPM] ■ Turbulence Model: Standard k-epsilon *For more details, please download the PDF or feel free to contact us.

We will introduce the technical analysis work related to bearing parameter alarms and gearbox fault diagnosis based on the data modeling software "DTEmpower." This product can provide deep data analysis necessary for industrial data processing as a concise and rigorous one-stop solution. Additionally, it enables data analysis, modeling, and design based on machine learning, significantly improving product development efficiency. 【Condition Monitoring & Parameter Alarms】 ■ Extraction of Sensory Feature Characteristics ■ Quantitative Optimization of Sensitive Feature Alarms *For more details, please download the PDF or feel free to contact us.

Based on the issues in the de-NOx system of power plants, we will introduce solutions using the data analysis and modeling software "DTEmpower," as well as optimal control of the system. The de-NOx system has significant thermal hysteresis effects, making it difficult to construct physical and chemical models. Therefore, a control method that combines "predictive control," "optimal control," and "feedback correction" utilizing machine learning based on datasets is effective. As a result of applying data analysis, we can accurately and quickly predict changes in NOx concentration within the de-NOx system through machine learning, providing a reduction in the impact of the boiler's thermal hysteresis effect and optimizing rational system control. [Issues with the de-NOx System] - Unable to respond quickly to fluctuations in nitrogen oxide (NOx) concentration. - It is necessary to excessively spray ammonia at the flue gas outlet to reduce NOx concentration. - Excessive spraying of ammonia can lead to dust accumulation on the catalyst and clogging of the air preheater, resulting in decreased boiler operating efficiency and increased operational costs. *For more details, please download the PDF or feel free to contact us.

We would like to introduce a combustion analysis case of a conical burner using the general-purpose thermal fluid analysis software "AICFD." The analysis conditions include a turbulence model of the standard k-ε model, a fluid mixture, and a combustion model such as Species Transport. This product comprehensively covers the process from creating the analysis model, simulation, to result processing, supporting the improvement of research and development efficiency. 【Analysis Conditions (Partial)】 ■ Inlet Conditions: - 60 [m/s] - CH4 (mass percent: 3.4%) - O2 (mass percent: 22.5%) - N2 (mass percent: 74.1%) *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case of parametric modeling of a stator using CAD and the optimization software "CAESES." Basically, the shape of the stator can be designed with many degrees of freedom, and as long as the new design candidates meet a series of geometric constraints, various types of complex free shapes can be realized. The final CAD model is controlled by a series of parameters for the blades and EWC, most of which are linked to distribution functions of cross-sectional profiles such as camber and thickness, defining radial deformations. 【Manufacturing Constraints for the Stator】 ■ 15 blades ■ Constant maintenance of the blade's axial chord ■ Minimum thickness requirements for the leading edge and trailing edge ■ Thickness and distance of two inner holes for fixing the blades ■ Installation constraints regarding plate dimensions ■ Radius reduction limits for the EWC *For more details, please download the PDF or feel free to contact us.

We would like to introduce a case study of strength analysis of a turbine upper cover using the finite element method (FEM) analysis software "AIFEM." In the design of this cover, improvements in durability, safety, and efficiency are required, making the use of advanced analysis methods essential. In this case study, pressure loads were applied to the bottom surface of the turbine upper cover, and symmetrical boundary conditions were applied using a 1/4 model to analyze the deformation of the upper cover. [Analysis Results] ■ Rated operating condition: 4.515×10^-4 ■ Maximum head condition: 5.552×10^-4 ■ Boost condition: 8.609×10^-4 *For more details, please download the PDF or feel free to contact us.

The in-house developed data modeling software DTEmpower is a data modeling platform designed for industrial users, developed by delving into the data modeling needs of industrial companies. DTEmpower offers a wide range of algorithms for data modeling, including data cleaning, feature extraction, feature selection, and model training. It enables the improvement of model quality while reducing the need for user experience through algorithm development for specific cases, an intelligent scheduling engine, and super reference optimization. DTEmpower is equipped with a complete set of diagnostic solutions for failure diagnosis of turbomachinery. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.*

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.*

This introduction discusses the flow field analysis of axial fans using the general-purpose intelligent thermal fluid analysis software AICFD. Flow field analysis is an important means of visualizing and predicting the complex movement of fluids inside the fan. Through flow field analysis, detailed information such as turbulence, pressure loss, and temperature distribution can be obtained, allowing for early detection of issues during the design phase and the implementation of improvements. After the simulation is completed, post-processing can be performed on the same GUI, enabling efficient result verification. In addition to basic visualizations such as distribution maps, vector diagrams, and streamlines, the built-in post-processing function "TurboPost" for turbo machinery allows for even more advanced visualization of analysis results. *For more details, please download the PDF or feel free to contact us.*

The Italian company OMIQ SRL, which sells software, conducted research on an automatic design system using the poppet valve of high-pressure pumps developed by the Danish machinery manufacturer Danfoss. In this case, we will introduce the design system that integrates the CFD solver SimericsMP with CAESES based on the research that was actually conducted. The issue in this case is that the poppet valve exhibits unacceptable unstable behavior during operation. It was found that when the poppet valve attempts to open to its maximum displacement (27.5 mm), the instability of the flow increases, resulting in a decrease in pressure on the poppet valve, ultimately preventing the valve from fully opening (closing to about 6 mm remaining). This unstable phenomenon was verified through unsteady analysis using SimericsMP. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

The turbo pump is an important component in the design of launch rockets for space using liquid fuel. It is a component that supplies the necessary fuel flow to achieve a large thrust while maintaining a high combustion chamber pressure, and it is used in rocket engine supply systems. Due to the need for high-precision performance predictions of turbo pumps for launch rockets, as well as designs based on these predictions, resulting from the significant reduction in total rocket engine weight, the very high rotational speed of the turbo pump, and the specifications of the pump in relation to the degree of depressurization in the liquid fuel storage tank, the goal is to maximize total reliability throughout the operational lifecycle. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

The optimization of valve design is one of many optimization targets, and by appropriately automating the design change process using CAESES and analyzing the number of implementation cases generated by the CFD solver, it is possible to significantly shorten the time to commercialization while exploring truly suitable designs under constraints. A valve is a device that opens, closes, or partially obstructs various passages to control, direct, or adjust the flow of fluid. In an open valve, fluid flows from high pressure to low pressure. Typically, the main objective of valve optimization is to adjust the flow rate passing through the valve at a specified pressure loss. This is often expressed as a flow coefficient, which serves as a relative measure of flow efficiency. *For more detailed information, please refer to the related links. For more details, you can download the PDF or feel free to contact us.*

The design of axial flow fans generally needs to consider not only efficiency but also noise reduction. Reducing noise in axial flow fans is a rather complex and difficult issue when considering details, but there are some simple geometric methods that can lower fan noise in standard blade designs. The parametric modeling and optimization software CAESES provides a modeling toolbox for implementing various types of shapes and methods, automating the generation of blade geometry in simulation-driven optimization loops. This case study introduces improvements in noise levels and overall acoustic characteristics of axial flow fans utilizing 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.*

The mixer is a widely used device, and its size and shape vary depending on the working environment. The parametric modeling in CAESES makes it easy to adjust its performance and enables optimization. By modeling in CAESES, structural changes can be adjusted by parameters, allowing for the easy acquisition of mixers suitable for various working environments. *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.*

Centrifugal compressors are compact yet feature a high pressure ratio, and they are widely used in systems in the fields of aircraft and marine vessels. Impeller design is a crucial design aspect of centrifugal compressors and has a significant impact on compressor performance. In this case, we conducted automatic performance optimization using CAESES combined with CFD tools on an existing centrifugal compressor impeller model. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

At the Technical University of Darmstadt in Germany (Institute of Gas Turbines and Aerospace Propulsion), research was conducted on the automatic optimization of the volute of centrifugal compressors and vane diffusers. This project was carried out in collaboration with NUMECA, a German company, and Kompressorenbau Bannewitz GmbH (KBB), a turbo machinery manufacturer. CAESES was used for shape creation, while NUMECA's products were utilized for mesh model creation and CFD analysis. In CAESES, a parametric model was created that allowed for variations in the cross-sectional shape and area distribution of the volute. For the diffuser, a non-axisymmetric design was implemented, enabling quick shape transformations by varying the misalignment angle, blade twist, chord length, pitch, and rotation through a parametric model. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

In this case, we will introduce the automatic optimization workflow for axial fan rotor blades developed by CFDSupport, the creator of TCAE, and FRIENDSHIP SYSTEMS, the creator of CAESES. The project began in response to requests from designers and manufacturers who have basic designs for axial fans and wish to improve existing products into more optimal shapes. *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.*

CAESES has been conducting optimization calculations for various types of valves and has implemented projects in collaboration with various companies. In this context, we would like to introduce one of the newly conducted projects, "Shape Optimization of a Globe Valve." This project was carried out in cooperation with GEMÜ Gebr. Müller Apparatebau, a German valve manufacturer and a global company specializing in aseptic valves, and SimScale, a leading engineering simulation company. *For more detailed information, please refer to the related links. You can download the PDF for more details or feel free to contact us.*

In the shape optimization of water pumps with shrouded impellers, it is important to have an efficient parametric model with numerous design variables. This time, we will introduce the design/modeling of water pumps, which have many shape variations and a high degree of freedom for fine-tuning. With the optimization software CAESES, equipped with CAD functions, robust parametric models can be flexibly created while incorporating the designer's ideas, and it is utilized in various stages of the design process. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

This time, I will introduce parametric modeling, which is part of the gear pump optimization project. This project began with the customer's request to "optimize the design of the gear pump" and has progressed with a focus on gear modeling techniques, aiming to create a more functional and user-friendly model. *For detailed information, you can view it through the related links. For more details, please download the PDF or feel free to contact us.*

Centrifugal pumps are commonly used in industrial and household applications because their design, manufacturing, and maintenance are relatively simple. They also have the advantage of being efficient and easily adaptable to various sizes. Students from the Department of Transportation Systems at the Technical University of Berlin implemented the design process of a centrifugal water pump that maximizes the capabilities of CAESES as part of an internship project at FRIENDSHIP SYSTEMS, the developer of CAESES. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

We would like to introduce a case study on the optimization of fan blades using our intelligent optimization software "AIPOD." This software employs optimization algorithms specifically designed to address issues such as the high costs of numerical simulations in the field of industrial design. An optimization calculation was performed targeting nine design variables, with the objective function being the minimization of total pressure loss and a CFD calculation of 150 cases. The optimization calculation achieved a performance improvement of 19.21%, surpassing the 14.69% of competing software. [Case Overview] - By turning on the Bound-break function during the AIPOD optimization process, optimization results exceeding expectations were obtained. - In this case, since the range of the set design variables was relatively reasonable, the more optimal candidate solutions obtained by both methods are included within the design space. *For more details, please download the PDF or feel free to contact us.

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.

We would like to introduce an application case of modal analysis for the centrifugal impeller of a dust pump using our intelligent structural analysis software "AIFEM." This software is equipped with a finite element solver developed in-house. It analyzes the free modes of the centrifugal impeller of the dust pump. The software can accurately capture the first six rigid body free modes, which are close to zero frequency. 【Case Overview】 ■ Analyzes the free modes of the centrifugal impeller of the dust pump ■ Capable of accurately capturing the first six rigid body free modes close to zero frequency *For more details, please download the PDF or feel free to contact us.

In this case study, we will introduce our efforts to reduce torque using CFD analysis and automatic optimization focused on centrifugal fans. This will provide an effective solution to the following background and challenges: - We want to quickly find promising shape proposals that meet performance requirements during the initial design phase. - We want to understand designs that can reduce torque while maintaining pressure performance. - We want to quantitatively understand which design variables contribute to performance. For details on the optimization approach, optimization results, and insights useful for design decisions, please download the PDF.