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Today, we’re taking everyone to explore the new updates in Altair Inspire Extrude 2023! Whether you’re an engineer, a designer, or a technology enthusiast, don’t miss this article. We’ll dive deep into these new features to help you better understand and apply this powerful tool. Come take a look with us—you’re guaranteed to gain something from it!
1. Create dies for specific profiles
2. Support bearing profiles with variable start points
3. Improved calculation accuracy of post-deformation die impact on flow
4. Reference temperature and thermal stress
5. Improved calculation of die opening gap
6. Advanced mesh control options: for bearing, profile, and die
7. Improved strain calculation accuracy
8. More information: extrusion ratio and profile speed
1. Quench result output control
Quenching model setup requires meshing the entire profile length, but at a certain moment, the results are only relevant to the extruded portion of the profile. Now, the solver can write results only for this portion, improving computation speed and reducing the size of the result files.
2. Definition and visualization of the Boiling Heat Flux Curve
3. User-defined grain prediction and quenching heat transfer coefficient models
1. Support importing material data from AMDC
2. Add temperature-dependent Masuko-Magill model
Compared with the WLF and Arrhenius models, the Masuko-Magill model can fit material data better and extrapolate more accurately over a broader range. This model relates the viscosity at any given temperature to the viscosity at the glass transition temperature via two parameters, A and B.
3. Add generalized polynomial viscosity model
Altair Inspire Extrude is easy to learn, enabling all engineers and designers to better understand—through simulation—how the profile characteristics and process variables of any specific metal alloy interact. With Inspire Extrude, even extremely complex profiles can be validated for manufacturability. Using geometry creation and simplification tools, CAD can be quickly simplified and modified within the tool, ensuring that potential profile distortion, deformation-induced damage, backend defects, transverse weld defects, seam weld issues, coarse grain size, overheating, profile quality, and poor surface quality can be corrected early in the development stage.
Richin is “an expert in CAE and AI big data,” and we have completed many successful case studies。
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