WEBINAR RECORDING | Enhancing the design process in biomedical industry with engineering optimization

ESTECO North America and Detroit Engineered Products (DEP), specialized in model parameterization, hosted a 1-hour webinar on the value of optimization and response surface modeling in simulation-based medical device development.

The global emergency due to COVID-19 pandemic brought into light the need for the medical devices community to adopt faster go-to-market strategies to go from conceptual design to market deployment. Virtual engineering and virtual testing become one of the key factors that enable this speed of development. Engineering simulation enables design, development, and analysis of these complex medical devices with great accuracy. Mathematical techniques such as numerical optimization and machine learning further enhance the design process by allowing the identification of robust and optimal solutions in a short time.

Register and learn more about how simulation-based design exploration strategies were applied to the designs of two different medical devices.

The first project is about the optimization of a cardiovascular stent with a focus on minimization of dilation stress and crimping stress by looking at various geometry configurations.

The second project focuses on the multi-objective optimization of an orthopedic femoral implant. In this case we analyze the trade-off between the weight of the implant and stresses and displacements at key joint locations.

The webinar explores the possibilities of the use of modeFRONTIER, our solution for simulation process automation, design optimization and data analysis, and DEP MeshWorks, a CAE driven integrated platform for pre and post processing parameterization and optimization, advanced meshing, process automation, concept modeling and CAD morphing.


Overview of ESTECO and its technologies

Overview of DEP and MeshWorks

Case study | Optimization of a cardiovascular stent

How the use of response surface modeling techniques helps optimize the design by reducing the number of simulations required.

Case study | Optimization of an orthopedic femoral implant

How the multi-objective optimization approach enables evaluating a complex set of geometries and identifying a Pareto optimal set of designs.



Adarsh Elango

Application Engineer

ESTECO North America


Sanket Bhogle

Post Sales Engineer

Detroit Engineered Products