Visualize Iteration Plots
Plot the iteration history of an Optimization exploration's objectives, constraints, input variables and unused output responses in a 2D chart.
View new features for Altair HyperWorks 2023.1.
Learn the basics and discover the workspace.
Learn more about the Altair HyperWorks suite of products with interactive tutorials.
Start and configure the applications.
View a list of deprecated panels and their newer, equivalent workflows.
Create, open, import, and save models.
Set up sessions and create report templates.
Solver interfaces supported in HyperMesh.
A solver interface is made up of a template and a FE-input reader.
Browsers provide a structured view of model data, which you can use to review, modify, create, and manage the contents of a model. In addition to visualization, browsers offer features like search, filtering, and sorting, which enhance your ability to navigate and interact with the model data.
Create and edit 2D parametric sketch geometry.
Create, edit, and cleanup geometry.
FE geometry is topology on top of mesh, meaning CAD and mesh exist as a single entity. The purpose of FE geometry is to add vertices, edges, surfaces, and solids on FE models which have no CAD geometry.
Explore the different types of mesh you can create in HyperMesh and create and edit 0D, 1D, 2D, and 3D elements.
Create, organize and manage parts and subsystems.
HyperMesh composites modeling.
Create connections between parts of your model.
Rapidly change the shape of the FE mesh without severely sacrificing the mesh quality.
Create a reduced ordered model to facilitate optimization at the concept phase.
Workflow to support topology optimization model build and setup.
Setup an Optimization in HyperMesh.
Multi-disciplinary design exploration and optimization tools.
The Design Explorer Browser displays a hierarchical view of your design setup and can be used to enable and disable exploration parameters.
An exploration is a multi-run simulation. Each exploration includes input design variables, and output responses. Explorations may also include goals, consisting of an objective and constraints.
An input design variable is a system parameter that influences the system performance in the chosen output response. Typical design variables may be a part's thickness, shape, or material property. Ranges, with lower and upper bounds, are specified and the variable's value will vary within the exploration. The terms input, input design variable, and design variable are used interchangeably.
An output response is a measurement of system performances, such as mass, volume, displacement, stress, strain, or reaction forces.
Objectives are metrics to be minimized or maximized in an optimization exploration. Minimizing mass to find a lightweight design is a common example.
Constraints need to be satisfied for an optimization to be acceptable. Constraints may also be associated with a DOE. While not used in the evaluation of the DOE, constraints can be useful while visualizing DOE results. Limits on displacement or stress are common examples.
Review the explorations, inputs, responses, and goals in your design setup.
Use the Evaluate tools to run the exploration and review reports.
Export files to the output directory then run the exploration simulations.
Stop a simulation and cancel any runs that are pending or in progress.
Use the Results Explorer tool to review results.
Once an exploration is complete, review a summary of design variable and output response values in tabular format.
Visualize differences in design variable values between any two exploration runs.
Visualize the relative effects that design variables and output responses have on DOE explorations.
Predict response values or entire results from different design variable choices.
Plot exploration inputs and outputs.
Optimization using unsupervised machine learning, group exploration results according to user-specified criteria.
Plot a 2D chart of the input variable and output response values for each run in an Optimization exploration.
Plot the iteration history of an Optimization exploration's objectives, constraints, input variables and unused output responses in a 2D chart.
Validate the model built before running solver analysis.
Models require loads and boundary conditions in order to represent the various physics and/or physical equivalents to bench and in-use testing.
Reduce a full 3D model with axisymmetric surfaces while accounting for imperfections.
Tools and workflows that are dedicated to rapidly creating new parts for specific use cases, or amending existing parts. The current capabilities are focused on stiffening parts.
Tools used for crash and safety analysis.
Use airbag folder utilities and export a resulting airbag in a Radioss deck.
Essential utility tools developed using HyperMesh-Tcl.
Import an aeroelastic finite element model with Nastran Bulk Data format.
Framework to plug certification methods to assess margin of safety from the model and result information.
Create and evaluate evaluation lines and optimize interfaces to eliminate squeak and rattle issues.
Use PhysicsAI to build fast predictive models from CAE data. PhysicsAI can be trained on data with any physics or remeshing and without design variables.
Results data can be post-processed using both HyperMesh and HyperView.
HyperGraph is a data analysis and plotting tool with interfaces to many file formats.
MotionView is a general pre-processor for Multibody Dynamics.
MediaView plays video files, displays static images, tracks objects, and measures distances.
Use TableView to create an Excel-like spreadsheet.
TextView math scripts reference vector data from HyperGraph windows to automate data processing and data summary.
Create, define, and export reports.
Explore, organize and manage your personal data, collaborate in teams, and connect to other data sources, such as corporate PLM systems to access CAD data or publish simulation data.
Multi-disciplinary design exploration and optimization tools.
Use the Evaluate tools to run the exploration and review reports.
Use the Results Explorer tool to review results.
Plot the iteration history of an Optimization exploration's objectives, constraints, input variables and unused output responses in a 2D chart.
Plot the iteration history of an Optimization exploration's objectives, constraints, input variables and unused output responses in a 2D chart.
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