Flux2022破解版|Altair Flux & FluxMotor 2022.3.0 x64
FluxMotor 2022破解版是功能强大的旋转电机设计解决方案，知识兔使用旨在为用户分享简单直观的使用界面，通过简单的操作迅速建立基础、分析报告和优化其电机。熟悉的设计环境，全新的多物理场功能不仅能够帮助设计人员有效预测电磁性能，知识兔还能够优化策略提高性能，软件面向旋转电机设计者和制造商等各类用户，知识兔让电机专业人员能够在数分钟内快速定义电机并评估其技术经济潜力。FluxMotor 高效的工作环境可确保更好的电机性能可视化效果，并使得计算快速准确，知识兔还能够将计算结果连接到 HyperWorks 套件中的 Flux 有限元软件和其他工具，知识兔以进行更多高级研究，知识兔包括多物理场优化功能等。最新破解版下载，含安装激活教程，欢迎有需要的朋友来知识兔下载体验！
FluxMotor 2022新功能
Altair, a global leader in computational science and artificial intelligence (AI), announced the launch of Altair Flux and Altair FluxMotor 2022.0.0. Both tools are now installed together and just a few clicks are needed to switch from one to the other.
What's new in Altair Flux 2022
Let??s have a look at the key features and improvements of Altair Flux 2022.
ALTAIR SIMLAB, A NEW POWERFUL INTERFACE TO RUN FLUX COMPUTATIONS
Altair SimLab is a very powerful environment with an easy-to-use interface. From CAD to post-processing, it is now offering a very fast way to run Flux 3D magnetostatic analysis, with unique CAD handling and meshing capabilities, within a very intuitive workflow.
Within SimLab, 2D static and transient analysis can also be run.
A TIGHTER INTEGRATION OF FLUXMOTOR & FLUX
Those of you designing electric motors probably know about FluxMotor. This is a very intuitive and fast tool for the pre-design of electric machines. It is often used in association with Flux to provide a more in-depth analysis. Both tools are now installed together and just a few clicks are needed to switch from one to the other.
ADVANCED MODELING OF LOSSES
When designing high-speed machines, extra losses in windings due to proximity and skin effects need to be assessed. These copper losses can now be calculated in a very efficient way in 2D transient, without describing each wire. It is based on a homogenization method and offers a great gain of time when solving and for pre-processing, also keeping a very good accuracy
Aluminum or copper foil coils are sometimes used in power transformer applications. To model this kind of windings, homogenization methods can also be used. It is a very efficient way to compute losses in such coils in 2D steady-state AC simulations.
Taking into account magnetic hysteresis during transient solving is possible in Flux, relying on the Preisach??s model. With this version, both solving speed and post-processing capabilities have been improved when using such models.
MATERIAL MODEL IDENTIFICATION
Flux has many advanced models to represent accurately the magnetic behavior of materials. These models need to be fed with data coming from experiments or from manufacturers?? datasheets. To ease the fitting process, a new set of tools is proposed and available in Flux installation, and will help you get the best of Flux models to represent B(H) characteristics, consider hysteresis or compute iron losses.
FREE SHAPE OPTIMIZATION
This new way of doing optimization has been introduced in Flux 2021.1. In 2022, new responses and constraints can now be considered, giving you more possibilities in the definition of your optimization problems.
DESIGNING AXIAL FLUX MACHINES
A set of macros is available to automate the modeling of axial flux machines in Flux. Thermal computations are now considered, both for steady-state and transient analysis.
AND ALSO:
– FEMT: various improvements of the Flux e-Machine Toolbox to compute efficiency maps
– Curves viewed during solving are automatically created for post-processing
– Improvement of layer mesh for efficient meshing of eddy current effects in 3D.
– Volume meshing speed-up
– New API to drive Flux from Python.
Altair Flux and Altair FluxMotor 2022 release notes
Note: For all new features and enhancements, refer to the manual .pdf files available from the Help menu in each module or from the Manuals folder on your hard drive and also this.
1、电机厂的瞬态热计算”特性-热-电机和发电机-瞬态”测试旨在评估电磁性能对带有永磁体的同步电机-内转子(SMPM-IR)和带有松鼠的感应电机在瞬态模式下的电机热行为的影响保持架-内转子(IMSQ-IR)。知识兔可以考虑由速度和一组损耗定义的热工作点来计算温度图表和主要热参数。描述热工作点的输入可以手动设置或从先前解决的电磁测试中导入。2、带热解的驱动循环对于带有永磁体的同步电机-内转子(SMPM-IR)，知识兔可以通过在”性能映射-正弦波-电机-效率映射”测试框架中考虑热求解来完成驱动循环的计算。带有工作点列表的特点是速度和扭矩。随着驱动周期的变化，通过考虑机器每个区域内温度的变化来更新物理特性和控制命令。3、用热求解定义的模型图在”表征-模型-电机-地图”测试中，该测试分享Jd-Jq平面中的2D地图，知识兔用于表征具有永磁体的三相同步电机，现在可以执行热计算。这可以通过考虑预定温度范围内的磁体温度来实现。因此，此测试中显示的地图会根据选择的定义的磁体温度范围进行更新。4、一种新的可用机器：磁阻同步机FluxMotor分享了一种新型机器，在Motor Factory中具有自己的设计、测试和导出环境。知识兔可以运行10个测试来评估性能。零件库中的新库包括200个凸极拓扑结构，4个标准电机存储在电机目录的新目录中。5、绕线面积改善在绕组区域，定义了部分以帮助用户逐步构建绕组：绕组结构、线圈设计、绝缘、端部绕组和灌封。在线圈部分，除了通常的线圈组成（匝数、导线和尺寸）之外，还可以选择一种用基本导线填充槽的方法，并将它们分组以形成导体。这可以很好地评估绕组的可行性（填充因子的计算非常接近真实的）。另一方面，在”导出”区域，机器模型可以从FluxMotor导出到Flux 2D，并带有表示槽内的实心导体。例如，这将为想要在Flux 2D中进行高级研究以计算绕组中的交流损耗的用户节省大量建模时间。6、感应电机的NVH预测-内转子（在beta模式下）这些测试允许在具有内转子的感应电机的早期电磁设计阶段执行NVH预测。它们仅在beta用户级别可用。?⒓扑愣杂τ谝韵叩缪埂⒌缭雌德屎退俣?U,f,N)为特征的工作点的声功率级?⒓扑愣杂τ诠ぷ鞯纳?β始队上叩缌鳌⒌缭雌德屎退俣龋?、f、N）表征的点注意：对于这两种测试，知识兔可以计算和显示齿上的力。?⒒?谙叩缪埂⒌缭雌德时碚鞯募父龉ぷ鞯愕钠灯淄己退俣?U,f,N)(NVH评估-频谱图-U,f,N)?⒒?谝韵呗返缌鳌⒌缭雌德屎退俣任?卣鞯募父龉ぷ鞯愕钠灯淄?I,f,N)NVH评估-频谱图-I,f,N)7、其他新功能和改进a)新的连接器可用于将FluxMotor与HyperStudy耦合，知识兔以及此版本中的许多新开发的测试。b)在专用于带鼠笼式感应电机的”表征-模型-SSFR”测试中，新的高级用户输入可用于设置线性磁导率，知识兔以考虑表征等效方案参数。c)用户偏好中分配内存的新值：-修改了电机厂的最大内存。默认值已增加到4096 MB，可能值的范围增加到8192 MB-Flux2D和Flux Skew的默认分配内存已分别修改为4196 MB和8192 MB。此外，还可以选择Flux2D和Flux Skew的动态内存。d)从FluxMotor导出的FMU格式文件现在兼容各种环境：Activate和其他
安装激活教程
1、在知识兔下载并解压，如图所示
2、安装程序，将许可协议界面上的滑块滑到最下，然后知识兔勾选接受条款选项
3、知识兔选择软件安装路径
4、安装完成，将_SolidSQUAD_下的AltairFluxMotor2022文件夹复制到安装目录中，知识兔点击替换目标中的文件
知识兔小编说明：
专用于旋转电机设计，设计速度快，面向用户的绕线工具，允许快速评估的自动化测试和报告，不仅是说速度快，而且知识兔准确度高，具有开放材料数据库，有效的机器零件管理（可能的定制），知识兔以及使用目录管理项目的创新方法等，功能齐全，具有强大的优势！
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