Simcenter Hypermesh

AI-powered software for finite element modeling, large-scale simulation, and advanced visualization

Simcenter Hypermesh

SimcenterTM HypermeshTM is a product of Siemens

Simcenter Hypermesh streamlines every phase of the simulation workflow — from model preparation and assembly to solver setup, visualization, and analysis. With guided, AI enhanced processes, engineering teams can build models, configure assemblies, generate reports, and perform both pre and post processing dramatically faster, reducing workflows that once took hours to just minutes.

The platform supports geometry creation and manipulation, meshing, large assemblies, subsystems, and imported CAD models. It also enables concept modeling and integrates seamlessly with internal or third party CAD and solver technologies. Built on an open, programmable architecture and connected to the digital thread, Simcenter Hypermesh makes it easy to automate processes, customize workflows, and accelerate innovation.

Simcenter Hypermesh

Main benefits

Request a free demo

  A Connected Approach to Model Build, Assembly, and Concept Modeling

Simcenter Hypermesh turns model building and assembly into a fully traceable, connected process. Beyond generating simulation-ready models, it manages metadata that links parts, subsystems, and design updates across teams. Through a robust digital thread, every modification — from new geometry to configuration changes — is tracked and synchronized with Hypermesh libraries and PLM/PDM systems. This ensures engineering data remains consistent, reduces costly rework, and shortens time to market.

  Unified CAD, FEA, Meshing, and Solver Environment

Engineers often waste time switching between tools to clean geometry, build meshes, set up solvers, and review results. Simcenter Hypermesh eliminates these bottlenecks by integrating pre- and post processing into a single solver connected environment. Teams can edit geometry, assemble models, define solver inputs, and analyze outputs without leaving the platform. Its broad compatibility with internal and commercial CAD/CAE tools ensures faster, more reliable simulation workflows.

  Open, Automated, and Customizable Workflows

With its open architecture and Python APIs, Simcenter Hypermesh adapts to any engineering environment. Teams can integrate the software with their existing systems, automate repetitive tasks, and convert expert workflows into reusable scripts. Built in automation tools turn manual operations — such as geometry cleanup, model setup, or report creation — into consistent, repeatable processes. This democratizes simulation capabilities, supports organizational standards, and allows simulation to scale efficiently.

Key features

Efficient Geometry Import and Model Assembly

Import, classify, and assemble large volumes of geometry using automated workflows. Create shared models, handle multiple configurations, and generate load cases with minimal manual input.

High Performance Meshing Tools

Generate high quality meshes for large models with just a few clicks, meeting industry standards while dramatically cutting setup time.

Automated Workflow Execution

Automate the import, preparation, and merging of CAD models, then use powerful meshing tools to clean, refine, and generate shell, solid, and other mesh types.

Concept Modeling, Ottimizzazione e Design Exploration

Leverage generative design, parameterization, and simulation driven design to explore concepts early in development. Evaluate feasibility, compare trade offs, and identify lightweight, high performance geometries.

Topology Optimization to 3D CAD

Transform optimized shapes into CAD-ready geometry for downstream engineering and manufacturing processes.

Automated Report Creation

Generate customized HTML, PDF, DOCX, or PPTX reports at the push of a button — including equations, images, 3D objects, and simulation/CAE results.

Python & API Integration

Capture expert workflows as Python scripts to build templates, automate processes, and create simulation apps tailored to your organization.

Simplified Solver Setup

Guided workflows make it easy to define load cases and prepare models for analyses including fatigue, durability, crash and safety, NVH, multiphysics, and more.

Reduced Order & Skeleton Modeling

Create 1D reduced order models (ROMs) that replicate the behavior of complex 3D simulations, enabling rapid optimization of entire assemblies.

Ask the Expert

Ask the expert

Send your technical questions to our experts!
Connect you with an EnginSoft expert who can provide a reliable answer to your technical question or recommend a proven solution.

Ask the expert Request a free demo

Insights

CASE STUDY

High Pressure Die Casting Optimization of a Connecting Rod

A multi-objective engineering simulation study of the connecting rods manufacturing process

Connecting rods connect the pistons to the crank shaft in automotive engines and are vital components of the engine. Connecting rods are traditionally produced in ferrous metals by forging or die casting.

metal-process-simulation automotive magma

NEWSROOM

Stay connected with us: news, analysis and trends from our experts.

Newsroom  

MEDIA CENTER

Scroll through our Media Center to view all the videos, video-tutorials and recorded webinars.

Media Center  

CASE STUDY

Simulation-Based Engineering Science: a heritage to cherish and invest in for a sustainable future

The adoption of SBES has significantly increased in the last two decades, driven by advancements in computing technology and the rise of Industry 4.0, which promotes nine key enabling technologies, including engineering simulation and big data analytics. SBES is crucial for the integration and automation of production systems, improving flexibility, speed, and quality.

automotive construction energy cfd metal-process-simulation

Find out more

CASE STUDY

Optimizing the Glass Clamping of a Pyrolytic Oven

An appreciable 30 to 40% decrease in stresses

The aim of this study was to find the best quality glass-clamping system, through parametric model optimization, for a new pyrolytic self-cleaning oven by Indesit.

modefrontier optimization consumer-goods appliances

CASE STUDY

Optimizing a cam mechanism using Adam and MATLAB

The design of a cam for high-speed production machines with various operating criteria imposes various conflicting objectives

This technical case study explains the application of a two-step methodology using the MATLAB and Adam algorithms in the modeFRONTIER software platform.

optimization modefrontier automotive

CASE STUDY

Ultra-Wide Band Radome CAE Optimization

Overcoming mechanical and electromagnetic challenges in refining a radome for electronic warfare

Elettronica SpA designs and produces systems for electronic warfare. Each system design is unique according to its platform and purpose. In this article, the company describes how it used CAE to approach the challenging design of a single sandwich radome.

ansys optimization electronics