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Average Ratings 0 Ratings

Total
ease
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design
support

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Description

Ansys Mechanical stands out as an exceptional finite element solver, featuring capabilities in structural, thermal, acoustics, transient, and nonlinear analyses to enhance your modeling processes. This powerful tool allows you to tackle intricate structural engineering challenges, facilitating quicker and more informed design choices. The suite's finite element analysis (FEA) solvers permit the customization and automation of solutions for structural mechanics issues, enabling the examination of various design scenarios through parameterization. With its extensive array of analysis tools, Ansys Mechanical provides a versatile environment, guiding users from geometry preparation to integrating additional physics for enhanced accuracy. Its user-friendly and adaptable interface ensures that engineers at any experience level can swiftly obtain reliable results. Overall, Ansys Mechanical fosters an integrated platform that leverages finite element analysis (FEA) for comprehensive structural evaluations, proving invaluable for modern engineering projects.

Description

STOCHOS is an advanced probabilistic AI solution designed specifically for engineering and research and development applications. It harnesses existing simulation, testing, and measurement data to swiftly predict new variants while providing uncertainty assessments for each prediction, allowing engineers to discern when to trust the results or opt for traditional solvers. Utilizing the DIM-GP framework, STOCHOS is effective even with limited datasets, ranging from just a few dozen to a few hundred samples, and can handle various data types such as scalars, signals, 2D and 3D fields, meshes, geometries, and images. Its capabilities include surrogate modeling, uncertainty quantification, Bayesian and multi-objective optimization, as well as multi-fidelity modeling and sensitivity analysis, along with generative geometry techniques. STOCHOS Flow, a user-friendly visual workbench, enables the creation of workflows without the need for coding, allowing teams to deploy them as web applications. The software operates on local hardware and can be installed offline, ensuring accessibility and privacy. Founded in 2018 in Grafing bei München, PI Probaligence is part of the CADFEM Group and has established itself as a technology partner with Ansys, promoting innovative solutions in engineering. Furthermore, its ability to integrate seamlessly into existing processes enhances productivity and drives efficiency in engineering teams.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Ansys Rocky Yes 

Integrations

Ansys Rocky No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Quote on request
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Ansys

Founded

1970

Country

United States

Website

www.ansys.com/products/structures/ansys-mechanical

Vendor Details

Company Name

PI Probaligence GmbH

Founded

2018

Country

Germany

Website

probaligence.com

Product Features

Computer-Aided Engineering (CAE)

CAD/CAM Compatibility No 
Finite Element Analysis No 
Fluid Dynamics No 
Import / Export Files No 
Integrated 3D Modeling No 
Manufacturing Process Simulation No 
Mechanical Event Simulation No 
Multibody Dynamics No 
Thermal Analysis No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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