Altair’s one total twin solution empowers organizations to transform their products, systems, and processes. With features that combine leading simulation, high-performance computing (HPC), artificial intelligence (AI), data analytics, and Internet
of Things (IoT) capabilities, teams can design, build, test, optimize, evaluate what-if scenarios, perform predictive maintenance, and
extend the remaining useful life (RUL) of their products—without the need of physical prototypes.
Altair’s flexible, connected capabilities and smart product development solutions also enable comprehensive cross-functional system evaluation, which eliminates information
silos and communication bottlenecks during product development. With these capabilities, organizations become more efficient and can deploy digital twin technology when and where they need it — through any or all lifecycle stages — from pre-production conceptual design through in-service performance.
2022 Altair Digital Twin Global Survey Report
A comprehensive, detailed, international report on the present and future of digital twin technology that examines how digital twin is understood, how it’s used, why it’s used, who’s using it, and more.
In the pre-production stage, organizations can deploy the as-specified twin, which covers specifications and requirements, development, and simulation. These twins help teams design, analyze, and optimize performance in the earliest stages of the system lifecycle without requiring expensive prototypes.
As system concepts mature into detailed designs, organizations can deploy the as-designed twin for validation studies, real-world performance prediction, and streamlined mechatronic product development. Teams can also converge multiphysics simulation with advanced HPC, AI, and data analytics capabilities in a unified, cohesive environment.
For systems that have reached the production stage, the as-built twin helps teams evaluate advanced virtual system dynamics under what-if scenarios, deploy reduced order modeling (ROM), detect design sensitivities, and resolve test failures.
Organizations benefit from capabilities that enable mixed-reality simulations that lead to optimal designs — especially concerning very large structures or situations that are otherwise impossible to evaluate in the real world. Teams can also
resolve test failures with multibody and controls simulation, and real-time visualization.
Integrated Devices of Built Systems
Organizations can use the as-manufactured twin to evaluate integrated software, processors, and hardware involved with system controls, such as human-driver, ergonomics, immersion, and virtual reality. Teams can simulate realistic and unexpected
events, improve workability and operation windows, and produce high-fidelity displays of innovations in interactive, realistic environments.
The as-sustained twin handles predictive analytics and maintenance of systems that are in service. Teams can leverage real-time data stream analytics and machine learning to optimize system performance, deliver ideal maintenance routines,
trigger insights based on anomaly detection, determine a system’s RUL, and more. This capability delivers fast, real-time insights about system status, which helps organizations make optimal operational adjustments to maximize system life and
At the core of our digital twin integration platform are our flexible, agile, and vendor-agnostic software capabilities for executing twins in production
and connecting them to real-world data in real-time. This platform provides the essential building blocks for digital
twin developers from various specialties to get started fast, scale efficiently, and streamline changes as systems evolve over time.
Learn how our platform and One Total Twin™ solution are helping numerous industries like yours:
Deploying a digital twin means you can make stronger, data-driven decisions about your product’s future. The detailed and in-depth information a digital twin provides empowers you to convert empirical insights to action, improving customer satisfaction through increased product reliability and improved performance. Altair provides you with the digital twin building blocks that allow you to connect disparate development disciplines and enable simulation-driven teamwork.
Electrical engineers, controls specialists, system engineers, structural designers, dynamics specialists, manufacturing experts, software developers and data scientists are provided with a new way to collaborate and gain holistic system understanding. Altair helps you understand how your product truly behaves in the real-world so you can make better decisions for your product's future.
Validate Your Product Quickly and Reliably
Digital twins are especially powerful for product validation when physical prototype validation is unrealistic. Sometimes prototypes are too expensive, or operate in difficult to replicate environments, or require human intervention. In these scenarios, using a digital twin instead of a physical twin can help you understand your product's behavior for substantially less investment.
Additionally, digital twins can be subjected to many more experiments at much higher frequencies. They are the cost-effective, safe, and accurate way of testing your hypotheses before committing to print for manufacturing, patent for prosthetics, grid for racing, or go for launch.
Improve Asset Performance and Efficiency
In production, digital twins improve your asset’s performance, efficiency and remaining useful life. They are a digital window into your asset’s operation, applying physics and machine learning in real time so you can gain otherwise inscrutable information into behavior then translate it directly to action. This reduces the cost of operation, avoids production stoppages from catastrophic failures, and extends the working life of individual assets.
The Altair digital twin integration platform is the only solution that gives you a window to address the full complexity of your asset's operation — machine learning insights blended with physics simulation — to help you find hidden inefficiencies and correct them.
Get the Whole Picture
While digital twins' usefulness is unquestioned, their effective implementation can be difficult – every problem to be addressed with a digital twin needs a different approach to find the optimal solution. Altair addresses this complexity through a unique blend of physical simulation methods, data analytics, and machine learning techniques to provide a complete picture of the status of a product in the real world. Our approach can help you add virtual sensors where physical sensors are impossible, intuit maintenance needs ahead of catastrophic breakdowns, and optimize test rig performance — all within one ecosystem.
At any stage in your system lifecycle and through all levels of complexity, Altair can solve your most difficult problems with our one total digital twin solution.