Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches
The management and digitalization of experimental-numerical validation and verification processes within product development (PD) for innovative, lightweight, high-performance composite materials is a major challenge due to increasing process chain complexity, highly heterogeneous data and the need to consider product-related data and processes over their entire life cycle. Methods for modeling the experimental and numerical validation process using Product Lifecycle Management (PLM) concepts to manage and integrate data and Model-Based Systems Engineering (MBSE) approaches to track data links and process steps are elaborated. A process roadmap is created including key processes, subprocesses and metadata for procedures in PD which are subsequently illustrated by an event-driven process chain showing linked processes, inputs/outputs, software needs and iteration points. This is used as a base to model key processes and their properties by creating customizable, connectable blocks in MBSE, where digital data is accessible through an interface linked by respective metadata in a PLMtool. Excerpts of linked processes and respective metadata are exemplarily shown for a hybrid composite structure to illustrate the potential of the elaborated approaches for improved PD efficiency through data reuse, workflow execution, consistent data management and traceability.
%0 Conference Paper
%1 cf558b7ca2d74d879d756b8c3f8a17ea
%A Richter, Jonas
%A Dammann, Maximilian Peter
%A Kluge, Maximilian
%A Saske, Bernhard
%A Arndt, S.
%A Hornig, Andreas
%A Paetzold-Byhain, Kristin
%A Modler, Niels
%B ECCM21 - Proceedings of the 21st European Conference on Composite Materials
%D 2024
%I European Society for Composite Materials (ESCM)
%K topic_engineering FIS_scads chains, composite composites, computed data, engineering, event-driven experimental-numerical fiber-reinforced hybrid lifecycle/data management, model-based process product segmentation, structures, synthetic systems tomography training validation, woven x-ray
%P 1576--1583
%R 10.60691/yj56-np80
%T Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches
%U https://eccm21.org/
%V 3
%X The management and digitalization of experimental-numerical validation and verification processes within product development (PD) for innovative, lightweight, high-performance composite materials is a major challenge due to increasing process chain complexity, highly heterogeneous data and the need to consider product-related data and processes over their entire life cycle. Methods for modeling the experimental and numerical validation process using Product Lifecycle Management (PLM) concepts to manage and integrate data and Model-Based Systems Engineering (MBSE) approaches to track data links and process steps are elaborated. A process roadmap is created including key processes, subprocesses and metadata for procedures in PD which are subsequently illustrated by an event-driven process chain showing linked processes, inputs/outputs, software needs and iteration points. This is used as a base to model key processes and their properties by creating customizable, connectable blocks in MBSE, where digital data is accessible through an interface linked by respective metadata in a PLMtool. Excerpts of linked processes and respective metadata are exemplarily shown for a hybrid composite structure to illustrate the potential of the elaborated approaches for improved PD efficiency through data reuse, workflow execution, consistent data management and traceability.
%@ 978-2-912985-01-9
@inproceedings{cf558b7ca2d74d879d756b8c3f8a17ea,
abstract = {The management and digitalization of experimental-numerical validation and verification processes within product development (PD) for innovative, lightweight, high-performance composite materials is a major challenge due to increasing process chain complexity, highly heterogeneous data and the need to consider product-related data and processes over their entire life cycle. Methods for modeling the experimental and numerical validation process using Product Lifecycle Management (PLM) concepts to manage and integrate data and Model-Based Systems Engineering (MBSE) approaches to track data links and process steps are elaborated. A process roadmap is created including key processes, subprocesses and metadata for procedures in PD which are subsequently illustrated by an event-driven process chain showing linked processes, inputs/outputs, software needs and iteration points. This is used as a base to model key processes and their properties by creating customizable, connectable blocks in MBSE, where digital data is accessible through an interface linked by respective metadata in a PLMtool. Excerpts of linked processes and respective metadata are exemplarily shown for a hybrid composite structure to illustrate the potential of the elaborated approaches for improved PD efficiency through data reuse, workflow execution, consistent data management and traceability. },
added-at = {2024-11-28T16:27:18.000+0100},
author = {Richter, Jonas and Dammann, {Maximilian Peter} and Kluge, Maximilian and Saske, Bernhard and Arndt, S. and Hornig, Andreas and Paetzold-Byhain, Kristin and Modler, Niels},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2413652363d64659530b1e16b5b07a40f/scadsfct},
booktitle = {ECCM21 - Proceedings of the 21st European Conference on Composite Materials},
day = 2,
doi = {10.60691/yj56-np80},
interhash = {221c050304e10a0cf124715267edbd0d},
intrahash = {413652363d64659530b1e16b5b07a40f},
isbn = {978-2-912985-01-9},
keywords = {topic_engineering FIS_scads chains, composite composites, computed data, engineering, event-driven experimental-numerical fiber-reinforced hybrid lifecycle/data management, model-based process product segmentation, structures, synthetic systems tomography training validation, woven x-ray},
language = {English},
month = jul,
note = {21st European Conference on Composite Materials, ECCM 21 ; Conference date: 02-07-2024 Through 05-07-2024},
pages = {1576--1583},
publisher = {European Society for Composite Materials (ESCM)},
timestamp = {2024-11-28T17:40:59.000+0100},
title = {Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches},
url = {https://eccm21.org/},
volume = 3,
year = 2024
}