CADFEM AI SOLUTIONS

SHORTEN DEVELOPMENT CYCLES WITH CADFEM AI SOLUTIONS

REVOLUTIONIZE PRODUCT DEVELOPMENT WITH AI

Artificial Intelligence (AI) is revolutionizing product development, significantly enhancing the quality and efficiency of products and processes. The possibilities with AI are vast, offering immense potential for innovation and improvement.

Advantages

CADFEM AI represents the ideal and customized integration of advanced AI solutions and services provided by CADFEM and its partners. Here is an overview of our AI solutions portfolio.

Enhanced Performance

AI improves product fault tolerance and performance by identifying and correcting errors while uncovering additional potential.

Unmatched Precision

By analysing large datasets and recognizing patterns, AI ensures that future products meet specified requirements with pinpoint accuracy.

Optimal Designs

AI-driven optimization techniques demonstrate systematic improvements in product designs, leveraging parameter-based methodologies for optimal results.

Increased Innovation

AI algorithms facilitate the rapid identification and verification of new ideas, enabling continuous reuse of valuable information and fostering a culture of innovation.

AI Products

AI Solutions

Ansys SimAI

With Ansys SimAI, product engineers and designers may use prior simulation and measurement data to evaluate the performance of new concepts in minutes rather than hours.

AI Solutions

Ansys AI+

Ansys AI+ adds AI technologies into its industry-leading desktop solutions, enhancing fundamental functionality. For example, enhanced field and scalar ML-based meta-models will allow users to undertake efficient optimization.

AI Solutions

Ansys GPT

AnsysGPT is a virtual assistant that gathers engineering experience across physics fields, offers 24-hour comprehensive technical help, and shortens response times.

AI Solutions

STOCHOS

STOCHOS is an innovative PI method that combines expert independence, efficient processing, and high-quality outcomes. It integrates neural networks and Gaussian processes to provide excellent prediction accuracy with tiny databases. STOCHOS accurately assesses true and noisy data from many sources and effectively combines them. Its central component is the DIM-GP method (Deep Infinite Mixture of Gaussian Processes), a one-of-a-kind technique that combines neural networks and Gaussian processes. This endlessly scalable, non-stationary, probabilistic model processes data of any size with minimum technology, removing the need for hyperparameter tweaking and cloud computing.

Examples

SIMULATION OF VARIOUS CRASH SCENARIOS

ONLY 20 TRAINING DATA AND 4 FOR TESTING

Prediction time

Accuracy

17,5 s with CPU

R2 0,956

SIMULATION OF A DROHNE ANTENNA POSITION

ONLY 37 TRAINING DATA AND 4 FOR TESTING

Prediction time

Accuracy

10s with CPU

R2 0.969

COOLING SIMULATION OF AN ELECTRIC MOTOR

ONLY 21 TRAINING DATA AND 2 FOR TESTING

Prediction time

Accuracy

12s with CPU

R2 0.964