Eduard Almar

Eduard has a degree in industrial engineering with a specialization in automation from the Universitat Politècnica de Catalunya (UPC). He has experience in R&D projects, including the development and innovation of new sensor technologies for large-format printers, the application of computer vision for metrology, and the creation of advanced algorithms for predicting consumption data of industrial systems. He is currently working as a researcher in the Polymer and Composite Processes Unit at Eurecat, focusing on developing in-mold sensor systems for data acquisition and processing, centralizing injection molding machine data in a shared IoT/cloud database, and applying computer vision and photogrammetry for stretch distribution measurement in thermoformed parts.

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Presentation

Evaluating thermoforming stretch of functional inserts for injection molding electronics

This presentation explores the innovative application of photogrammetry in assessing the stretch behavior of functional inserts during the thermoforming process, a critical aspect in the production of injection molded electronics (IME). IME technology, which integrates electronic functionalities into 3D molded structures, has seen rapid advances, but challenges persist in ensuring the precise deformation of functional inserts during thermoforming. We introduce a novel methodology employing photogrammetry, a technique that uses photographs to measure distances and establish maps and models. Our approach allows for accurate, non-contact measurement of the stretch distribution of functional inserts, providing valuable insights for optimizing thermoforming parameters.