Multibody system dynamics driven product processes

Abstract

Sustainable business models emphasize the application of digital solutions to enhance customer value throughout the product lifecycle. This dissertation contributes to the development of methods that integrate multibody-dynamics-driven digital solutions with the product lifecycle and enable investigation of the technical aspects associated with the user experience in real-time simulation applications. To this end, real-time simulation methods are studied for hydraulically driven multibody applications. Academic examples are included that take a monolithic approach to investigate the optimal simulation methods. A parameter estimation algorithm is also proposed to estimate linear and non-linear product parameters to solve the field-related problems.

The scope of this work includes the real-time simulation application of the multibody formulation in a real-world example of an industrial mobile 3W counterbalance 2.0-t EVOLT48 electric forklift. The user experience is analyzed with respect to customer value. Regarding the technical aspects of the user experience, the multibody simulation model is coupled with human-in-loop simulators and virtual reality tools to study and analyze the user experience via test users. Further, through a multibody-based digital twin, tools and methods are studied to integrate the user experience into various phases of the product lifecycle to enhance customer value. The results of this dissertation may enable companies to enhance customer value through multibody-based digital twins and generate sustainable business models in an eco-friendly environment.