The injection molding process involves hundreds of variables. The conventional trial and error approach is a time and cost consuming approach to optimize the process. Design of experiment (DOE), on the other hand, is a cost-effective approach to help designers evaluate the most appropriate conditions and identify optimal conditions for molding parameters to achieve design optimization. In this webinar, we will present step-by-step about how to integrate Moldex3D with HyperStudy to perform the DOE analysis to optimize the injection molding process. Industrial cases will be presented to showcase the advantages of the integrate analysis.

Webinar outline

• Introduction to Moldex3D and HyperStudy
• Taguchi technique for design of experimental analysis
• Workflow of Moldex3D and HperStudy integration analysis
• Automotive industry case study

Who should attend?

Plastics part designers, tooling engineers, injection molding process engineers and FEA engineers.

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