Flavia Dalia Frumosu: The primary scope of the PhD project is to develop proper data analysis methods for process understanding and improvement in injection moulding production at the industry partner’s plants.
The project is part of MADE (Manufacturing Academy of Denmark) and involves close collaboration with the LEGO Group and the Department of Mechanical Engineering of DTU. The project belongs to MADE’s 9.2 package which deals with sensor and quality control.
The PhD project is supposed to investigate technologies that unearth the correlations between the process variables and product characteristics through for example image sensors. For this objective, the conventional statistical tools will fall short in delivering the appropriate analysis due to the complex nature of the data. The data rich environments in which this project will be conducted necessitate genuine scientific contributions rather than mere applications of already existing methods. In that regard, new Big Data technologies are supposed to be developed.
The ultimate goal of the PhD project is to develop an early warning system for injection moulding machines based on data collected from existing or new sensors.
PhD project title: Data analysis methods for process understanding and improvement in injection moulding production
Effective start/end date 01/10/2016 → 30/09/2019
Main supervisor: Mirat Kulahci, co-supervisor: Tosello, Guido