Altair® physicsAI™, Altair® expertAI™, Altair® shapeAI™, and Altair® romAI™ technologies unlock limitless potential for gaining insights, accelerating predictions, and improving engineering decisions. With seamless integration into Altair® HyperWorks® products, they deliver unparalleled AI-powered simulation and generative design capabilities.
Altair’s physicsAI delivers fast physics predictions by learning from your historical data. Accessible through HyperWorks, the world’s leading CAE environment, this AI-powered simulation and design technology trains models using any existing simulations including those from older design concepts, similar parts, or different programs. Free from the limits of parametric studies, physicsAI operates directly on 3D meshes or CAD. By leveraging modern, geometric deep learning, physicsAI learns the relationship between geometry and performance for any physics. Once trained, physicsAI models deliver predictions that are up to 100x faster than traditional solvers, enabling teams to evaluate more concepts and make better design decisions.
Capturing the career design engineer’s accumulated application expertise is invaluable for automated design optimization. However, some expertise involves subjective design criteria such as product aesthetics that is not easily translated into quantitative assessment. These subjective design requirements are traditionally handled by a human-in-the-loop, which is incompatible with the automatic design optimization process. Altair’s expertAI technology solves this by training and deploying classification models to emulate experts and account for any subjective design criteria.
Altair’s expertAI technology applies to manufacturing simulation for any physics including stamping, casting, computational fluid dynamics (CFD), electromagnetics, topology optimization result selection, design look and feel, and more.
OEMs leverage expertAI for a variety of use cases. BMW is using it to find optimal designs that meet both KPI requirements and subjective criteria such as crash kinematics behavior.
Altair offers leading software products with AI-powered simulation and generative design workflows to solve your most complex design problems faster and unlock the full value of your simulation data.
HyperWorks Design Explorer offers premier AI-powered generative design and exploration. Thanks to its intuitive workflow, you can define, execute, post-process, and interpret multi-run simulations, including DOE, optimization, and more.
Advanced, yet intuitive graphics-based tools help you create design variables and responses and define exploration goals. Integrated job submission and job monitoring capabilities let you run explorations and track them in progress.
The built-in Results Explorer generates robust reports for viewing, interpreting, and collaborating around your exploration results. Results Explorer also features seamless integration within the HyperWorks Post environment where you can build dashboards for contouring, animating, and plotting exploration results.
HyperStudy is a multidisciplinary design study software for exploring and optimizing product performance and robustness. The software seamlessly connects to Altair simulation products and easily interfaces with third-party tools. The software also lets you link various models and solvers into a flexible workflow for performing multiphysics design studies.
By combining advanced optimization methods, predictive modeling, and data mining, HyperStudy lets you efficiently explore the design space of any system model. Intuitive workflows also help you understand data trends, perform trade-off studies, and optimize design performance and reliability while considering multiphysics constraints.
DesignAI combines data science, engineering simulation, and high-performance scalable computing into one tool you can access from your browser – no software download needed. With DesignAI, you can unlock the full value of your simulation data and share insights across your organization. Simplified AI-product-design workflows make it easy to create synthetic data or collect historical data. With a seamless connection to HPC and automatic ML functionality, DesignAI accelerates the product development process.
The traditional engineering processes ensure that safe and robust products are being developed. However, the growing demand for innovative solutions in short time scales drives the need for a cultural change in the way we work in engineering. Looking at the traditional product life cycle we see that important design decisions tend to be made early during the concept design phase before detailed analysis or test data are available. Data analysis techniques in combination with classical engineering tools can practically help to resolve that conflict by making more useful information available earlier in the process. Consequently the entire process can become more effective.
Patrone and Mongiello wanted a solution to monitor and control its sheet metal forming process so that it could improve product quality and reduce production waste. The company selected Altair’s digital twin solution to achieve its goal and turned to Advanced Engineering (AE) Solutions, an Altair partner, to implement it. Altair’s digital twin solution gave Patrone and Mongiello the means to monitor quality and make corrections during all stages of its sheet metal forming process with respect to varying sheet metal material properties and equipment operating conditions. The digital twin solution, which leveraged Altair Inspire Form, Altair HyperStudy, Altair Activate, Altair romAI and Altair Panopticon, reduced production waste by more than 15%, reduced simulation time from hours to seconds, and enabled the company to monitor its forming process in a real-time environment.
Renishaw uses Altair signalAI to deliver advanced digital gauging with real-time melt-pool analytics. This AI-driven quality assurance process helps Renishaw identify manufacturing anomalies earlier, develop parts quicker, and realizes a stable production.
With the emergence of ChatGPT we have reached another pivotal moment with AI. At the very least, it has unlocked a next-level fever of interest in AI and potentially the ability to disrupt whole industries. This has arguably most organizational leaders wondering, how might this impact my business. In this panel discussion, we will explore the potential impact on manufacturers.
Moderated by Anthony McLoughlin I VP, Sales Data Analytics and AI, Aerospace I Altair
Naresh R. Jasotani I AI/ML Innovations Lead-Automotives, US I Google Cloud
Dr. Ingo Mierswa I Senior Vice President, Product Development I Altair
Mark Do Couto I Senior Vice President, Data Analytics I Altair
Mahshid Shirani I Data Science Manager I Altair
Presented at the ATCx AI for Engineers in July 2023, 38 mins
The presentation is in English by default. The following languages are available by clicking on Audio Description ('AD') on the video screen: CN, KR, JP, ES, and PT.