Partners sought for a Eureka 2023 Call Zero-D Project

Short summary Two Turkish partners are looking for three different partners regarding their innovative project which is named Process Parameters Optimization for Zero-Defect Manufacturing using Digital Twin based Predictive Quality

Full description Vision of the project is to achieve zero-defect production with high performance by using real and synthetic data, generic hardware interface for seamless integration to different injection moulding machines and problem-specific AI approach for high accuracy models, explainable and interpretable models to support operator training Motivation: Need of a robust and efficient system to optimize injection moulding manufacturing plants. ● Energy prices surging world-wide, Carbon footprint needs to be diminished. ● With the advance of Industry 4.0 practices in the manufacturing plants, reliable and high volume/high frequency data is available from the operation. ● This data can be used to optimize manufacturing processes, with a focus on zero-defect manufacturing. Especially for the plastic injection sector, high scrap rate can be avoided and the operators can benefit from the use of AI based software solutions. Project Content: ● Development of hardware and software components and their integration to operation environment ● Develop generic hardware and software technologies to acquire data from the manufacturing systems ● Develop a physically-coherent Digital Twin to model the operation ● Analyse the data and support decision-making ● Inform the system and the operators for zero-defect production. Use Case: Plastic Injection Process Current State: ● Products with a diverse range in size, weight and value are produced 24/7 ● Raw material and process costs are surging world-wide ● Poor quality and inefficient processes need to be addressed Approach: ● Communication protocols and hardware infrastructure will be used to collect process data ● Digital twins which feed on real and synthetic data will be build for predictive quality purposes ● Support human operators will reliable and explainable AI-based technology ● Develop a framework that increase efficiency and ensure zero-defect production in a modular and extensible manner. KPI: ● Scrap rate ● Overall Equipment Efficiency ● Material and Energy Cost

Advantages and innovations Expected outcome: Increased productivity of the injection moulding manufacturing plants ● Development of a hardware and software integrated technology that uses real and synthetic data ● Cloud-based data storage that is accessible and reusable ● An intelligent and configurable framework that increases sustainability and profitability of the end-users Impacts: ● Higher production rate for injection moulding manufacturers ● A supporting system that increases the knowledge and creativity of the operators ● Integration of reliable and continuous data into factory-wide decision making ● Decreasing the environmental impact by high efficiency operation ● Increasing awareness among manufactures in the light of Industry 4.0 practices

Technical Specification or Expertise Sought Partner search: ● Partner 1: Hardware solution provider with expertise in sensor deployment (temperature, pressure signals, etc.) ● Partner 2: Hardware developer/integrator for data acquisition from manufacturing machines ● Partner 3: Additional manufacturing plants that can benefit from AI based support systems for zero-defect manufacturing (outside of plastic injection moulding sector)
Contact / source: NEXT EEN Widgets (europa.eu)