Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavio
- PDF / 3,054,734 Bytes
- 16 Pages / 595.276 x 790.866 pts Page_size
- 7 Downloads / 195 Views
TECHNICAL ARTICLE
Model‑Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location‑Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis Saikiran Gopalakrishnan1 · Nathan W. Hartman2,3 · Michael D. Sangid1 Received: 16 September 2020 / Accepted: 26 October 2020 © The Author(s) 2020
Abstract The digital transformation of manufacturing requires digitalization, including automatic and efficient data exchange. Modelbased definitions (MBDs) capture digital product definitions, in order to eliminate error-prone information exchange associated with traditional paper-based drawings and to provide contextual information through additional metadata. The flow of MBDs extends throughout the product lifecycle (including the design, analysis, manufacturing, in service life, and retirement stages) and can be extended beyond the typical geometry and tolerance information within a computer-aided design. In this paper, the MBDs are extended to include materials information, via dynamic linkages. To this end, a model-based feature information network (MFIN) is created to provide a comprehensive framework that facilitates storing, updating, searching, and retrieving of relevant information across a product’s lifecycle. The use case of a damage tolerant analysis for a compressor bladed-disk (blisk) is demonstrated, in Ti-6Al-4V blade(s) linear friction welded to the Ti-6Al-4V disk, creating welldefined regions exhibiting grain refinement and high residuals stresses. By capturing the location-specific microstructure and residual stress values at the weld regions, this information is accessed within the MFIN and used for downstream damage tolerant analysis. The introduction of the MFIN framework facilitates access to dynamically evolving data for use within physics-based models (resulting in the opportunity to reduce uncertainty in subsequent prognosis analyses), thereby enabling a digital twin description of the component or system. Keywords Digital twin · Location-specific · Prognosis · Process-structure–property-performance · Model-based definition · Digital thread · Product lifecycle
Introduction The concept of the digital twin aims to create a digital representation of a serializable component or system, which can be used to predict its future performance based on the current available knowledge [1, 2]. To realize a digital twin representation of a component requires: (1) state information, * Michael D. Sangid [email protected] 1
School of Aeronautics and Astronautics, Purdue University, 701 W. Stadium Ave, West Lafayette, IN 47907, USA
2
Department of Computer Graphics Technology, Purdue University, 401 Grant St, West Lafayette, IN 47907, USA
3
Indiana Manufacturing Competitiveness Center (IN-MaC), 1105 Challenger Ave, Suite 400, West Lafayette, IN 47906, USA
which is dynamically or periodically updated, (2) prognosis, which can come from a range of sources, including data driven models, analytical models, or physics-based simulations [1–3], an
Data Loading...
