The objective of the AMPLI project is to provide machine operators with real-time knowledge and information to improve decision-making and working procedures thanks to the development of an AR tool dedicated to the manufacturing value chain of polymer forming process. The AR tool will be based on the combination of plastic domain-based knowledge (from tuning, production and maintenance) and the integration of numerical simulation.
AMPLI project target 3 main benefits:
Improve manufacturing efficiency
time reduction for tuning a work cell: -10%
increase machinery availability by preventive maintenance: +8%
reduction of training period of work force: -25%
reduction of scraps: -10%
Eliminate skill shortages by capturing and return process knowledge
Increase attractivity of shop floor work by fostering the use of digital tools, which is appealing for young people. Work becomes more visual, accessibility increases and facilitates the training
AMPLI project approach is to embed and enable physically realistic virtual objects in a real environment to be interactive. It is based on the improvement of AR mechanisms and usability through:
embedded process simulation results thanks to reduced order model
customized plastic and composite processing interface by mixing measured information coming from the manufacturing work cell and information coming from models
The project is sponsored by the EIT Manufacturing (European Institute of Innovation & Technology) and is supported by a consortium of 5 European partners led by ESI Group. Together, and for a period of one year, the consortium partners will be working on developing, testing and validating AR and simulation technology dedicated to a thermoforming process.
ESI will be the integrator of the final output based on existing AR tool. This step will be particularly challenging and key as AR need real-time information to be efficient which will not be possible without ESI’s expertise and innovation technologies like its model-order reduction platform. IPC will provide knowledge rules regarding setting and supervision. They will use their skills in machine interoperability and process control as guidance for the project. Moreover, IPC simulates currently thermoforming process using ESI software PAM-FORM.
LMS has extensive experience in developing AR application for the manufacturing domain to support different steps of the lifecycle. Among other AR apps, LMS has developed an AR solution to support the maintenance phase of injection molds.
ENSAM will develop AR features to mix manufacturing process simulation with reality.
Whirlpool as plastic converter will provide requirements and a pilot case dedicated to thermoforming to test and validate the product at an industrial scale.
AMPLI will bring to the market a new product with AR integrating both plastic domain knowledge and simulation as differentiator.
In mid-term, such benefits will be transferred to other manufacturing processes.
