HEEDS Empowers Design Space Exploration​
HEEDS expedites the product development process through automation of analysis workflows, optimal utilization of computational hardware and software resources, and effective exploration of the design space for inventive solutions while evaluating novel concepts to confirm adherence to performance requirements.
Efficiently create superior designs with speed!
Heeds FAQ
Process automation
HEEDS facilitates automated workflows to streamline product development processes. Through its extensive range of interfaces with commercial CAD and CAE tools, HEEDS seamlessly integrates multiple technologies without the need for custom scripting or manual manipulation. The data is automatically shared across various modeling and simulation products to evaluate performance trade-offs and design robustness.
By using HEEDS, you can automate and simplify virtual prototyping initiatives. This includes creating process flows by combining internal and commercial 1D, 2D, and 3D simulation and cost-estimating tools. Furthermore, you can modify any native geometry, robustly re-mesh or update simulation physics models, and support co-simulation or sequential workflows. HEEDS automates model rebuilding, allowing you to explore a wider design space and create a defined design workflow, while automatically sharing data between various modeling and simulation products. Such automation allows users to evaluate any design variant with just a single button, and the efficient workflow allows for downstream design space exploration more easily and efficiently.
Overall, the process automation capabilities of HEEDS help users gain a deeper understanding of their designs to make informed choices for production.
Distributed execution is when processing is done across a network.
HEEDS leverages existing hardware investments which allows for the efficient use of all available hardware resources. These include Windows and Linux based workstations or clusters either on-site or abroad, as well as cloud computing resources to accelerate innovative product development.
HEEDS Distributed Execution includes the ability to:
Leverage all available computing resources
Reduce simulation turnaround with multiple levels of parallelization, such as workflow, tasks and cores
Support unlimited load cases
Orchestrate simulation tasks across platforms and operating systems
Leverage efficient licensing schemes, high-performance computers (HPCs) and cloud resources
Maximize your investment in virtual simulation with 24/7/365 run availability
HEEDS allows you to effectively leverage your existing hardware investment as the solution allows efficient use of all your hardware resources, including local, remote, cluster and cloud computing. For example, you can automate geometry modifications on your laptop’s Windows distributed execution operating system, perform a structural deformation simulation on a Linux server and a computational fluid dynamics (CFD) simulation on multiple cores of a Linux cluster. HEEDS can be used to orchestrate the entire distributed process and consolidate design space exploration results.
Efficient search
HEEDS is an exceptional optimization tool that is accessible to all designers and engineers. Unlike traditional tools, it requires no specialized technical expertise or simplified models, making for efficient search processes. With HEEDS' proprietary design space exploration functionality, you can leverage multiple global and local search strategies - fully adaptable with users' intuition and collaborative search capabilities. This process helps you identify high-performing designs with minimal simulation time and cost. This approach, SHERPA, is conditional on no model simplification, fitting, or surrogates, using hybrid, adaptive intelligent search for improved designs in fewer evaluations, which can save on both search time and product development costs whilst reducing product design risks.
AI enhanced search
HEEDS AI Simulation Predictor is a performance booster for SHERPA that enhances its state-of-the-art search technology, such as to operate at even greater speeds. This accelerator is intended for HEEDS users seeking to expedite their search processes for time-consuming CAE analyses or when lengthy optimizations are needed.
HEEDS AI Simulation Predictor empowers users by enabling accuracy-aware AI, as part of the hybrid-adaptive search framework, to actively learn and enhance the current search as well as learning for future design processes. It offers a significant reduction in design optimization time while maintaining the same design budget when applicable. Comparable results to SHERPA are achievable, with the added potential for even faster performance. Save up to 40% on computational time for lengthy optimizations! Additionally, this new technology allows the re-utilization of prior data, providing valuable insights for designing new products and systems and ultimately saving time and costs.
You don’t need AI expertise – this cutting-edge technology seamlessly integrates into your existing workflows, accelerating computationally intensive CAE simulations around the SHERPA search framework. HEEDS AI Simulation Predictor allows you to either finish tasks faster or tackle more simulations within the same timeframe. In either case, by leveraging HEEDS, you are now able to discover better designs even faster!
Insight and discovery
HEEDS software allows you to easily explore performance tradeoffs during the virtual prototype design process and effectively facilitate design reviews. By using the software, you can:
Gain insight into product design alternatives
Identify families of top-performing designs
Indicate areas of cost-effective design changes
Support design reviews by providing sensitivity to design variables
Allow assessment of robustness to manufacturing tolerances
HEEDS allows users to compare performance over a broad spectrum of designs and find feasible design families that exhibit desirable characteristics and robustness. The software can help you understand design performance over
 competing objectives and constraints. You can easily identify the sensitivity of selected designs to input variables to confidently make immediate design decisions during reviews and identify predicted results.