Nowadays, virtual prototyping is often incorporated in the design process to accelerate the development process of complex mechatronic systems [1]. This implies that the use of experimental campaigns has to be reduced and the manufacturer has to rely more on simulation tools [2]. In this paper, the ongoing activities on the simulation and validation of combined 1D and 3D models, for the design and analysis of complex mechatronic system, have been presented. This includes the development of a flexible multibody model, a lumped parameter driveline model and a control system. In order to exhibit the potential of the virtual design and analysis process for modern mechatronic systems, an industrial machine tool is used as a case study. For predicting the dynamic behavior of the machine, forecasting the influence of specific design changes, and assessing the impact of different control architectures with full confidence, the model needs to be validated. To this end, the simulation results of the virtual model is compared with the results obtained on the physical prototype.
The increasing demand for light weight, fast and precise mechatronic systems while reducing the time to market dictates to use advanced simulation and analysis tools in the design process (Jönsson et al. [2005]). This paper presents the ongoing activities on the simulation and validation of combined 1D and 3D models for the design and analysis of complex mechatronic system. This includes the development of a flexible multi-body model, a lumped parameter driveline model and a control system. In order to demonstrate the potential of the virtual design and analysis process for modern mechatronic systems, an industrial machine tool is used as a case study. In order to predict the dynamic behavior of the machine, forecast the influence of specific design changes, and assess the impact of different control architectures with full confidence, the model needs to be validated. To this end, the simulations of the model are compared with the results obtained on a physical prototype.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.