Altair, a global leader in computational intelligence, has officially announced the launch of Altair® HyperWorks® 2024, which is an industry-leading platform designed to facilitate design and simulation-themed operations. According to certain reports, the stated platform brings forth significant advancements in artificial intelligence (AI)-powered engineering and business, mechanical and electronics systems design, as well as simulation-driven design and optimization. Talk about the whole value proposition on a slightly deeper level, Altair® HyperWorks® 2024 conceives the AI upside across every step of a product life cycle to accelerate design exploration and iteration with generative design capabilities in Altair® HyperMesh®. Next up, we have a sub-solution in Altair® SimLab®, which banks upon ‘what-if’ studies using real-world data from Altair® physicsAI™ models to make design of experiments (DOE) more efficient. Then, there is Altair® Inspire™. This one can come in handy when the agenda is especially to rapidly predict behavior with generative design so to maximize efficiency in both design and manufacturing. Moving on, HyperWorks further makes a point to help users achieve dramatically faster training times and enhanced AI-powered capabilities, thus empowering them to dedicate more of their effort towards innovation. Not just that, engineers can also train physicsAI models with a single click on Altair Drive, utilizing here the scalable HPC and cloud resources of Altair One®. Such a setup effectively eliminates all infrastructure barriers.
“Altair HyperWorks 2024 is the only platform offering a unified, modern user experience across any geometry, physics, and complexity and at every stage of the product development life cycle from design to in-service,” said James R. Scapa, founder and chief executive officer at Altair. “With AI-embedded workflows, game-changing photorealistic graphics, and a unified back-end data system, Altair HyperWorks is the foundation upon which many of the world’s most innovative digital engineering practices are being built.”
The brand-new HyperWorks also lets engineers clock enhanced productivity with Python API in HyperMesh, allowing them to automate routine tasks, tailor their CAE environment with custom plugins, integrate with other tools, and access a vast support network through the Python community. Hold on, there is more, considering the solution in focus even makes it possible for you to achieve accelerated electronics system design perfection from the start, all made possible by its SimLab functionality. Alongside SimLab, users can access the Ultra Librarian integration to get faster, more accurate 3D printed circuit board (PCB) modeling. These users can also predict and enhance PCB lifespan with fatigue life simulations, analyze electric motors using advanced multiphysics analysis, and simulate diverse materials to understand fluid flow dynamics.
Expanding upon the simulation aspect is meshless ECAD simulation with Altair SimSolid®, something which is purposed around transforming mechanical and electronics systems into smart, connected realities, from requirements to embedded systems, with new solver capabilities for multi-disciplinary electronics. In case that wasn’t enough, the solution also empowers users to seamlessly transition from ECAD to simulation, doing so for optimizing the analysis of complex PCB and integrated circuit (IC) models. It markedly does that without mandating the need for traditional meshing or design simplifications.
Among other things, we have Altair integrating digital twins and digital threads to create a digital engineering ecosystem and provide one source of truth which ensures engineers have access to the most accurate real-time data and models. Beyond that, Altair® Material Data Center™ comes in to effectively augment the design process by offering more than 72,000 high-fidelity CAE-ready material datasets.
In total, Altair HyperWorks ensures seamless integration with more than 250 CAD systems, solvers, and file formats, to remove interoperability bottlenecks, and at the same time, support engineers with extensive scripting capabilities to customize the platform and automate repetitive tasks.
