Subproject E2: Database-driven modelling and simulation of process chains for a targeted adjustment of pre-defined characteristics as well as assuring a reproducible manufacture of thermoplastic textile composite components

Supervision
Prof. Dr.-Ing. habil. Knut Großmann
TU Dresden
Institute for Machine Tools and Control Technology 
01062 Dresden
Germany
Phone: +49 351 463-34358
Fax: +49 351 463-37073


Dr.-Ing. Dipl.-Math. Bernd Grüber
TU Dresden
Institute of Lightweight Engineering and Polymer Technology
01062 Dresden
Germany
Phone: +49 351 463-38146
Fax: +49 351 463-38143

Prof. Dr.-Ing. habil. Prof. E. h. Dr. h. c. Werner A. Hufenbach
TU Dresden
Institute of Lightweight Engineering and Polymer Technology
01062 Dresden
Germany
Phone: +49 351 463-38140
Fax: +49 351 463-38143


Abstract
In the subproject E2 a central database-driven tool for modelling and simulation of process chains will be developed and exemplarily used. The tool supports the notation and analysis of change of component properties resulting from the technological interactions to the workshop facilities in the process steps. The targeted adjustment of pre-defined characteristics of thermoplastic textile composite components and assuring a reproducible manufacture are possible by using the tool.

The development of the database-driven modelling and simulation tool is based on the results of the subprojects C1 and D4, which are generated in the first project phase. In D4 the process chain of the SFB was analysed in terms of technological structure, parameters and dependencies. The basic principles for an overall model of the total process chain are developed on it. The development, implementation and application of the overall project database is one of the results of subproject C1. The database is adapted for collecting, allocating and processing data of materials, properties, geometries and processes derived from the other subprojects.

In this project phase the database will be connected with the model of the process chain. In this way, the functionality of the database can be used to investigate the important process parameters. Thereby the following approach is planned:

• further development of the method for description of process chains in consideration of technological interactions,
• deduction a data model by dint of generic modelling and formulation of implementation model using methods of software engineering,
• implementation to commercial software,
• further development of the database and application of statistical methods for investigation of technological interactions and parameters,
• connection of the process chain model with the database by dint of implementation model,
• test, launch and exemplary use of the database-driven modelling and simulation tool.