Author:
Eddy Conner,Castanier Matthew,Wagner John,Morris John,Moss Benjamin
Abstract
<div class="section abstract"><div class="htmlview paragraph">The application of virtual engineering methods can streamline the product design process through improved collaboration opportunities among the technical staff and facilitate additive manufacturing processes. A product digital twin can be created using the available computer-aided design and analytical mathematical models to numerically explore the current and future system performance based on operating cycles. The strategic decision to implement a digital twin is of interest to companies, whether the required financial and workforce resources will be worthwhile. In this paper, two metrics are introduced to assist management teams in evaluating the technology potential. The usefulness and time savings metrics will be presented with accompanying definitions. A case study highlights the usefulness metric for the “Deep Orange” prototype vehicle, an innovative off-road hybrid vehicle designed and fabricated at Clemson University. Survey responses identified factors including verification/validation and model organization as critical focus areas for future digital twin technology implementation. The results demonstrate how model repertoires can be leveraged to new product cycles and fill the knowledge gaps of new engineers joining the development team. Overall, the metrics establish a basis to generate discussions regarding embracing emerging workplace technology.</div></div>
Reference19 articles.
1. Shafto , M. ,
Conroy , M. ,
Doyle , R. ,
Glaessgen , E.
et al.
DRAFT Modeling, Simulation, Information Technology & Processing Roadmap Technology Area 11 November 2010 1 27
2. AIAA
1 16 December 2020
3. Schleich , B. ,
Anwer , N. ,
Mathieu , L. , and
Wartzack , S.
Shaping the Digital Twin for Design and Production Engineering CIRP Annals - Manufacturing Technology 66 1 2017 141 144
4. Madni , A. ,
Madni , C. , and
Lucero , S.
Leveraging Digital Twin Technology in Model-Based Systems Engineering Systems 7 1 January 2019 7
5. Magargle , R. ,
Johnson , L. ,
Mandloi , P. ,
Davoudabadi , P. ,
Kesarkar , O. ,
Krishnaswamy , S. ,
Batteh , J. , and
Pitchaikani , A.
A Simulation-Based Digital Twin for Model-Driven Health Monitoring and Predictive Maintenance of an Automotive Braking System Proceedings of the 12th International Modelica Conference 132 35 46 Prague, Czech Republic May 2017