Abstract

The demand for high-precision complex-shaped optical components in various applications such as medical technology, automotive, and laser technologies has driven advancements in glass molding technology. Glass molding is a manufacturing process where glass is heated up to a viscous state and then pressed into a mold to form complex shapes. Later, it is cooled down to room temperature to have the final product with high shape accuracy and surface finish. This process involves complex thermo-mechanical interactions that can significantly affect the final lens quality. In our research we use Finite Element Method (FEM) simulations in Abaqus to model viscoelastic behavior, structural relaxation, and interactions between glass and molds. While FEM enables comprehensive analysis of glass behavior under varying conditions, it is time-consuming for process development. Therefore, we integrate machine learning and optimization techniques to efficiently optimize the process parameters, such as temperature and pressure profiles, ultimately achieving high-precision lens quality.

We use simulation data from the calibrated and validated FEM model as a reliable source to build data-driven surrogate models. These models enable us to perform multi-objective optimization, allowing for a systematic exploration of process parameters that balance not only the quality and efficiency of the process but also the final product features. This research provides valuable insights also for other manufacture technology scenes seeking to improve the quality and precision of parts.

Slide deck

Presenter Bio - Hamidreza Paria

I hold a Bachelor's degree in Mechanical Engineering and a Master's degree in Simulation Sciences from RWTH Aachen University. My academic background has equipped me with a solid foundation in the principles of engineering and advanced simulation techniques.
Currently, I am working at Fraunhofer IPT, where I specialize in the field of digitalization, machine learning, optimization, and Finite Element Method (FEM) applications, specifically in the glass molding technology sector. My role involves leveraging cutting-edge technologies to enhance manufacturing processes and improve product quality, thereby contributing to innovation in this dynamic industry.

In addition to my technical expertise, I am multilingual, fluent in Persian, Azerbaijani, and English. This linguistic proficiency allows me to communicate effectively in diverse environments and collaborate with international teams, broadening the scope of my professional interactions.

I am passionate about utilizing my skills in engineering and technology to drive advancements in manufacturing and contribute to the ongoing digital transformation within the industry. I look forward to leveraging my expertise and multilingual capabilities to make a significant impact in my field.