Coreform Case Study
Market: CAE, FEA
We were able to achieve better results with ACIS than we could have on our own, and their willingness to engage with us to meet our specific needs resulted in a product we are confident about delivering to customers.
The Company
Since 2014, Coreform has provided innovative isogeometric analysis software to the CAE industry. Coreform delivers reliable results to accelerate design processes, leveraging cutting-edge techniques in Finite Element Analysis (FEA) and computational geometry. With Coreform’s isogeometric analysis (IGA) technology, it will be possible to eliminate the meshing process while offering simulation results that are more accurate and robust than traditional low[1]order FEA across linear, nonlinear, static, and dynamic simulation regimes.
Coreform was founded around solving a common problem in the CAE space: how time is spent and lost in simulation. The vast majority of simulation time is spent on non-value-added activities. While these preparatory activities are necessary for the simulation, they are still peripheral to the primary goal of having the simulation provide you with insight into your engineering design. The tension between model-building speed and engineering simulation accuracy and robustness is a long-standing, seemingly intractable paradox in commercial FEA. Many products have been developed that optimize one at the expense of the other, often within a limited range of physics. Coreform is addressing this problem by developing advancements to the finite element method that allow users to reduce model-building time with greater accuracy and robustness, across a range of applicability.
They are seeking to build simulation technology capable of handling linear-type phenomena all the way up through sophisticated non-linear time-dependent phenomena. As a result, Coreform software allows its customers to produce accurate simulation results in far less time than with traditional methods. What used to take weeks or even months can now be built in days or a week, depending on the size of the assembly.
The Challenge
Precise Geometry Import and Boolean Preprocessing
Coreform wanted to dramatically reduce the cost of doing advanced engineering simulation without any additional burden on their customers regarding their CAD system.
Coreform’s solution would have to read native CAD data file as well as exchange formats like STEP, thus they needed high quality CAD geometry import capabilities. The reality was that traditional meshing capabilities needed massive engineering time and were simply a means to an end. By utilizing their innovative IGA solver technology, their simulation method sidesteps the need for traditional meshing and pre-processing. They knew they needed a robust and precise 3D geometry kernel capable of special Boolean preprocessing for this methodology.
This 3D modeler would need to perform millions of
face/face intersections and up to millions of edge/face
intersections. The ideal right 3D modeler would allow
Coreform to close the loop on time spent on non-valueadded activities during the simulation and deliver on its
promise to save its customers valuable time.
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Key Insights
After implementing Spatial SDKs, Coreform entered into a new paradigm for generating computation models and simulated models. They anticipate this outcome being adopted by customers in a wide range of industries.
As a result of the fully built-out software, Coreform found that their customers’ simulation engineers could save 80-90% of the time that they traditionality spent on meshing. This makes simulation a more reliable tool from a business perspective, and frees engineers to do more with their valuable time.
Spatial enabled Coreform to obtain the required information early enough in the process that they were able to launch the product earlier than expected. Spatial’s support team was engaged and willing to co-build with the Coreform developers and improve the software and evolutions.
By complementing their innovative technology with Spatial’s cutting-edge solutions, Coreform’s simulation technology dramatically reduces the investment in model building (i.e., mesh generation, CAD defeaturing, etc.), with no compromise on the results and precision. As a consequence, Spatial’s SDKs help improve simulation accuracy and robustness for linear, nonlinear, static, and dynamic problems.
