Open Access

ARTICLE

Physics Based Digital Twin Modelling from Theory to Concept Implementation Using Coiled Springs Used in Suspension Systems

by Mohamed Ammar^1,*, Alireza Mousavi¹, Hamed Al-Raweshidy^2,*

1 Department of Mechanical and Aerospace, Brunel University London, Uxbridge, UB83PH, UK
2 Department of Electrical and Electronic, Brunel University London, Uxbridge, UB83PH, UK

* Corresponding Authors: Mohamed Ammar. Email: ; Hamed Al-Raweshidy. Email:

Digital Engineering and Digital Twin 2024, 2, 1-31. https://doi.org/10.32604/dedt.2023.044930

Received 11 August 2023; Accepted 20 September 2023; Issue published 31 January 2024

Abstract

The advent of technology around the globe based on the Internet of Things, Cloud Computing, Big Data, Cyber-Physical Systems, and digitalisation. This advancement introduced industry 4.0. It is challenging to measure how enterprises adopt the new technologies. Industry 4.0 introduced Digital Twins, given that no specific terms or definitions are given to Digital Twins still challenging to define or conceptualise the Digital Twins. Many academics and industries still use old technologies, naming it Digital Twins. This young technology is in danger of reaching the plateau despite the immense benefit to sectors. This paper proposes a novel and unique definition for the Digital Twin based on mathematical modelling. The uniqueness of the meaning is that it is suitable and adaptable wherever it applies in industries or academics. This paper defines the Digital Twin as a “4-D Virtual replica that continuously simulates the entire mechanical behaviour of anything”. The novel concept of the DT for this study is based on the numerical analysis using Euler’s theory. A successful numerical Digital Twin model developed and validated the proposed idea of the Digital Twin based on Euler’s method. The numerical testing verified the accuracy and efficiency of the Digital Twin model throughout the exact representation of a vibrating system’s internal and external mechanical behaviours in all scenarios. The model still has some limitations and is open for further research; further research depends on the type of application. The contribution of this paper is summarised as follows: Proposing a novel concept for DT; Proposed DT applies to theory and practice; The concept is computationally fast, easy to implement and cost-effective; The proposed DT enhances condition monitoring in current real-time; The DT model continuously visualises and evaluates parts conditions; The proposed technique improves predictive and proactive maintenance.

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