A review on simulation in digital twin for aerospace, manufacturing and robotics
Abstract The Digital Twin (DT) is known as a computer generated equivalent of a physical system. It is used to simulates for different objectives through the real time harmonization of data received from the field. The prime interpretation of DT is very close link to simulation technique and software used. This relation can be viewed in two approaches viz. (i) DT is model to present the system based upon the various kinds of simulations techniques and tools and, (ii) DT as simulation of the system itself. In the aerospace, simulations replicate the continuous time history of flights, producing vast amount of data of simulations in order to recognize what the aircraft has undergone and to project forthcoming maintenance requirements and intrusions using various applications based simulation techniques, Computational Fluid Dynamics (CFD) Computer Aided Engineering (CAE) Finite Element Methods (FEM) and Monte Carlo simulation. In case of manufacturing, the simulation helps to mimic the complex behavior of production procedures considering the effects of design constraints, human interventions, and any other external disturbances. In robotics, the simulation is mainly concern with the virtual commissioning of task in order to improve the control algorithms for robots in the course of development stage. In this paper, various recent contributions on simulation based DT and DT based simulation models proposed by researchers in the field of aerospace, manufacturing and robotics have been presented. The motivation behind this review is to pave the way and clarify the conceptual foundations on the adaptation of simulation techniques and software to develop DT for various applications.