Managing knowledge and parameter dependencies with MBSE in textile product development processes

Procedia CIRP, vol. 91, pp. 170–175

Abstract

Today’s mechanical engineering companies are confronted with challenges like new material technologies, shorter product life cycles, increasing interdisciplinarity of the various departments as well as product development across distributed company locations. In the context of lightweight design, Tailored Textiles offer promising potentials to reduce product weight and manufacturing costs. Tailored Textiles are textiles with integrated local reinforcements whose textile properties can be adapted locally during the production due to the textile structures, so that process steps and therefore time and costs can be reduced. However, the production-oriented design of Tailored Textiles is currently very complex. One reason for this is the large number of stakeholders that are involved in the process. In order to make this complexity manageable, it is necessary to develop a common understanding of the textile process chain and to improve communication between different stakeholders. Another major challenge is the identification and management of technical parameter dependencies over the entire product development process (PDP). The aim pursued by this work is to link the technical parameter level of different expert models with the process level of Tailored Textiles PDP, so that expert knowledge is externalized to other stakeholders In this context, Model-Based Systems Engineering (MBSE) is a promising approach. Through the formalized application of modeling, MBSE allows the process accompanying development of a system model, which enables the visualization of the parameter dependencies within the product development process. In this paper, a methodological approach is presented which initially involves modeling the PDP for Tailored Textiles in a product data management system (PDMS). The process is then linked to a MBSE modeling tool. In the modeling tool, the analyzed parameters and their dependencies are set up and visualized. Following this procedure, the feasibility of the design will be evaluated based on a use case.

Authors 5

1. Ricarda Riedel corresponding Aachen Institute for Machine Elements and Systems Engineering

   RWTH Aachen University

   Affiliation as printed

   Institute for Machine Elements and Systems Engineering, RWTH Aachen University, Steinbachstraße 54B, 52074 Aachen, Germany

2. Georg Jacobs Aachen Institute for Machine Elements and Systems Engineering

   RWTH Aachen University

   Affiliation as printed

   Institute for Machine Elements and Systems Engineering, RWTH Aachen University, Steinbachstraße 54B, 52074 Aachen, Germany

3. Christian Konrad Aachen Institute for Machine Elements and Systems Engineering

   RWTH Aachen University

   Affiliation as printed

   Institute for Machine Elements and Systems Engineering, RWTH Aachen University, Steinbachstraße 54B, 52074 Aachen, Germany

4. Rahul Kumar Singh Aachen Institute for Machine Elements and Systems Engineering

   RWTH Aachen University

   Affiliation as printed

   Institute for Machine Elements and Systems Engineering, RWTH Aachen University, Steinbachstraße 54B, 52074 Aachen, Germany

5. Jonathan Sprehe Aachen Institute for Machine Elements and Systems Engineering

   RWTH Aachen University

   Affiliation as printed

   Institute for Machine Elements and Systems Engineering, RWTH Aachen University, Steinbachstraße 54B, 52074 Aachen, Germany