Predictive model for optimizing recycled resin injection molding
A predictive model designed to optimize injection molding using recycled resins, enhancing production efficiency and product quality by forecasting cycle time impacts based on variable resin ratios and conditions.
Overview
The predictive model for optimizing recycled resin injection molding offers a cutting-edge solution to enhance production efficiency and quality in manufacturing. By incorporating varying ratios of post-consumer recycled resins, the model forecasts the impact on cycle times, thereby optimizing the molding process. This innovation is crucial for industries aiming to integrate sustainable materials without compromising on efficiency or product quality.
Technical specifications
- Predictive analytics: Utilizes historical and experimental data to forecast cycle times in relation to recycled resin ratios.
- Machine learning integration: Employs AI/ML techniques to identify patterns and optimize resin ratios and processing conditions.
- Comprehensive data analysis: Considers resin properties, machine specifications, and design variables to create a robust model.
- Validation process: Involves collaboration with industry partners to refine and test the model for accuracy, targeting a 95% prediction accuracy.
Technology readiness level
Currently at TRL 3, the model is in the experimental proof-of-concept stage, with ongoing validation and refinement using real-world data from industry partners.
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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