- HS-1506: Material Calibration with a Curve Difference Integral
Tutorial Level: Intermediate In this tutorial, you will learn how to register a Compose, Python, or git function in HyperStudy.
- HS-1507: Material Calibration with Area Tool in Data Source
Tutorial Level: Intermediate In this tutorial, you will learn how to complete an Area function and create an input template from a Radioss file using the HyperStudy - Editor in HyperStudy.
- HS-1515: Use HyperView Results Math Integration for Output Response Extraction
Tutorial Level: Beginner Learn how to set up a study and add a model using HyperView Results Math to extract output responses.
- HS-1540: Set Up a Shape Optimization Study Using HyperMesh and ANSYS
Tutorial Level: Intermediate Learn how to perform a shape Optimization started from inside HyperMesh using the direct link to HyperStudy.
- HS-1550: Set Up a Shape Optimization Study Using HyperMesh and Abaqus
Tutorial Level: Advanced Learn how to perform a shape optimization using HyperMesh and HyperStudy. You will be using the finite element solver Abaqus, and HyperMorph to do the shape parameterization. This tutorial also demonstrates how to solve a problem when HyperMesh and HyperStudy are running in Windows and the solver is on a UNIX platform.
- HS-1560: Set Up Study using LS-DYNA Model Parameters in HyperMesh
Tutorial Level: Intermediate Learn how to set up a study for a LS-DYNA model in HyperMesh.
- HS-1605: Set Up ANSYS Workbench Model
Tutorial Level: Beginner Learn how to set up an ANSYS workbench model in HyperStudy.
- HS-1610: Set Up a SimLab Model using Python
Tutorial Level: Beginner Learn how to set up a mesh refinement study using a SimLab model to investigate the relationship between the SimLab mesh parameters and max Stress and max displacement.
- HS-1615: Set Up a FEKO Model
Tutorial Level: Beginner Learn how to set up a FEKO model in HyperStudy.
- HS-1620: Set Up a Flux Model
Tutorial Level: Beginner Learn how to set up a Flux model in HyperStudy that will investigate the relationship between actuator dimensions and the mechanical force output.
- HS-1630: Set Up an Optimization Based on a Flux Application Example
Tutorial Level: Beginner In this tutorial, you will complete an Optimization of a die press model to get a magnet with radial orientation.
- HS-1640: Set Up a Study Using Knowledge Studio Predictive Model
Tutorial Level: Intermediate In this tutorial, you will perform a material calibration using Knowledge Studio Predictive model.
- HS-1650: Beam Cross-Section Study with Inspire Studio
Tutorial Level: Advanced In this tutorial, you will perform geometric changes in Inspire Studio via HyperStudy and study the effect of each dimension on responses.
- HS-1651: Set Up an Inspire Model
Tutorial Level: Intermediate In this tutorial, you will perform geometric changes in Inspire via HyperStudy and study the effect of each dimension on responses.
- HS-1652: Submit HyperStudy Jobs to Altair One
Tutorial Level: Intermediate In this tutorial, you will learn how to submit HyperStudy jobs to Altair One HPC.
- HS-1660: Extract Hotspots with HyperView Model
Tutorial Level: Intermediate In this tutorial, you will learn to read hotspots from a numerical analysis output into HyperStudy via a HyperView model.
- HS-1670: Set Up a Radioss Model
Tutorial Level: Beginner This tutorial demonstrates how to parametrize an input deck via HyperMesh and subsequently set up a Radioss model in HyperStudy.
- HS-1680: Set Up an OptiStruct Model
Tutorial Level: Beginner OptiStruct simulations can be directly integrated into HyperStudy without any pre-processor such as HyperMesh.
- HS-1690: Set Up a PhysicsAI Model
Tutorial Level: Advanced Learn how to use PhysicsAI models to optimize displacement and stress in an optimization study.
- HS-1691: Data Curation and Pre-Processing in PhysicsAI
Tutorial Level: Beginner In this tutorial, you will use HyperStudy for data visualization, outlier detection, and .json file generation.
- HS-1695: Using Hooks in a PhysicsAI Model
Tutorial Level: Advanced Learn how to use hooks in PhysicsAI models.
