Ai-driven optimization and automation for PET container design
An AI-driven solution that automates and optimizes PET container design using machine learning. It leverages historical preform design data and outcomes to improve design precision, reduce manual effort, and shorten time-to-market. The approach uses neural networks, gradient boosting, and generative models to propose designs, with a CI/CD pipeline for ongoing model updates and continuous performance improvement.
Overview
The AI-driven optimization and automation solution for PET container design leverages advanced machine learning algorithms to streamline the design process. By using historical preform design data and their outcomes, this solution aims to improve design efficiency and accuracy. The AI model is dynamic and adaptable, continuously learning from new data to enhance design precision and reduce time-to-market.
Technical specifications
Key features:
- Utilizes neural networks, gradient boosting machines, and generative models to automate design proposals.
- Incorporates a continuous integration and continuous delivery (CI/CD) pipeline for ongoing model updates and improvements.
- Employs feature engineering to identify key design parameters and optimize the design process.
- Capable of proposing novel designs that meet industry standards, reducing manual effort and enhancing accuracy.
Technology readiness level
This technology is currently at TRL 2, indicating it is in the early stages of development. The model is being trained and validated using historical design data, with plans for further integration into the design workflow and continuous performance enhancement through machine learning and CI/CD pipelines.
About Lambton College
Lambton College is a career‑focused public college in Sarnia, Ontario, recognized for hands‑on, industry‑aligned applied research. Companies engage through three NSERC‑funded Technology Access Centres—the Lambton Manufacturing Innovation Centre, the Bio‑Industrial Process Research Centre, and the Digital Technology Lab—which provide contract R&D, prototyping, testing, and process optimization. Facilities include a BSL‑2 lab, a Natural Health Products lab, and the Canadian Extrusion Research Laboratory, with teams based on campus and at the adjacent Western Sarnia‑Lambton Research Park, enabling rapid validation and scale‑up alongside a major regional energy and chemical manufacturing cluster. Applied research is supported by funding from NSERC, Mitacs, the Ontario Centre of Innovation, the Canada Foundation for Innovation, the Ontario Research Fund, and FedDev Ontario programs. A dedicated commercialization function offers IP strategy and licensing support, augmented by resources from Intellectual Property Ontario.
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