3 Ways ANSYS AIM Impacts Design Engineer Productivity

Most modern companies know that simulation provides significant benefits in the design engineering phase of new products. Early in the design phase, 3D models that only exist virtually can be optimized with nearly no incremental cost incurred for each new design simulated. Many companies have analysts that use simulation and reap the productivity benefits. We see evidence of this in simulation news and publications, in the ANSYS blog and in ANSYS Advantage magazine. Many companies would like more of their design engineers to use simulation and to better integrate design engineering teams in their simulation strategies. The challenge has been finding simulation products suited to the available time and experience level of design engineers that provide quick reliable, accurate results in support of engineering goals.

Design engineers have increasingly complex problems to solve and deserve simulation software that can increase their productivity while yielding insight—simulation software like ANSYS AIM. Let me describe three ways in which ANSYS AIM enhances simulation productivity for design engineers without over simplifying the problems that they can address with simulation.

You can learn more by watching our on-demand AIM webinar.

ANSYS AIM User Environment

ANSYS AIM User Environment

  1. Ease of use. ANSYS AIM’s easy to use, single environment allows engineers to quickly produce real results. Engineers need to spend their time designing products, not coming up to speed on software. The ANSYS AIM interface is intuitive and provides guidance to users for all steps in the simulation. A single environment is used for geometry, meshing, all physics models, and post-processing. This standardizes simulation procedures across engineering disciplines and allows seamless access to modeling options for multiple physics. Predefined workflows for a range of problems guide engineers through the steps required for successful simulations, allowing engineers to be experts in engineering without having to be experts in simulation or multiple simulation environments. Richard Krellner, Director Design Division, Klubert + Schmidt told us, via CADFEM, that “For the simulation of different physical domains, for example structural mechanical simulation that are coupled with fluid mechanics, we have introduced the simulation software ANSYS AIM because of easy-to-use multiphysics coupling. Now our technicians and engineers with no special simulation knowledge are able to use multiphysics simulation in their daily work.” You can read more about Klubert and Schmidt’s use of ANSYS AIM in this publication from CADFEM .
  1. Accuracy and Speed: ANSYS AIM’s accurate results for single physics and multiphysics simulations provide a solid basis for design decisions. Easy to achieve simulation results are meaningless until they are accurate. ANSYS AIM is built on proven ANSYS solver technology and capitalizes on the accuracy and power of known solver, physical modeling and data handling methods. Analysts who already use ANSYS products, but work with design teams using other technologies, know the challenges that arise when separate, disconnected software products are employed. Method group managers can deploy ANSYS solutions across the team and rely on the ANSYS AIM results like they rely on results from their other ANSYS products, eliminating the need for analysts to verify design engineer results with another simulation and increasing team productivity. To further increase productivity, ANSYS AIM can leverage all of the cores on the local machine when combined with ANSYS HPC to calculate accurate results even faster.




Accurate models and verified implementation are essential to cases like this heat exchanger where the accuracy of physical models, solver numerics and data exchange across interfaces are all key. Region interfaces (red and purple images) and contours of temperature are shown.

  1. Customization: Customization can further enhance productivity by removing unnecessary options and building in best practices. Design engineers need to be making engineering design decisions and cannot afford to lose time evaluating all of the options available in complex engineering software tools. Additionally, many companies have internal best practices or adhere to industry standards for their products. Both situations can be addressed by creating custom templates in ANSYS AIM. This is straightforward to do using simulation journal files and IronPython scripting.

For example, we have created using ANSYS AIM for hip impact analysis. The custom template appears in the available Simulation Process Templates in ANSYS AIM:

ANSYS AIM Simulation Process Templates

Here are some of the custom panels created for this template.


Using these panels, the engineer enters the necessary information for performing the simulation. Then, ANSYS AIM sets up the simulation and runs it before returning the results the custom template requests.


Engineers using ANSYS AIM also benefit from the breadth of physics, the ability to smoothly add a second physics to a single physics simulation and perform multiphysics analysis, and the advanced rendering available in ANSYS AIM that brings your simulations to life.


ansys webinars this weekLearn more about ANSYS AIM on the web and watch our on-demand webinar —Democratize Simulation for Your Engineers — to hear more about using ANSYS AIM to increase productivity on your team.

This entry was posted in Multiphysics and tagged , by Chris Wolfe. Bookmark the permalink.

About Chris Wolfe

Chris has been with ANSYS for nearly 14 years and working with simulation for over 17. She is currently a lead product manager at ANSYS, Inc. focusing on multiphysics simulation and ANSYS AIM. Prior to this role, Chris was the product manager for ANSYS Fluent and a technical support engineer before that. Before joining ANSYS, Chris worked at DuPont where she applied Fluent to a variety of problems. In addition to simulation, Chris is interested in Women in Tech and STEM issues. Follow me on Twitter @ChrisWolfeNH