Enabling User Experiences in the Product Lifecycle With An Immersive Multibody-Based Multibody-Based-Digital-Twin Approach
Figure 12.1 presents a multibody-based digital-twin methodology that could be adopted to include user experiences throughout the entire product lifecycle. The steps of the methodology are explained in further detail in the paragraphs below.
Developing a User-Centered Virtual Space of a Physical Model
The multibody simulation model presents all the components and subcomponents of the physical model in a computer model. Like the physical system, the virtual duplicate may include rigid and flexible bodies, hydraulics, electric drives, tires, power transmission elements, forces, friction, particles, and the HMI and controls.The multibody equations of motion include contact and collision models to describe the dynamics of the simulation model. Following advances in multibody formulations, standard computer systems can solve the complex equations of motion in real time at a time step of 0.5—2 milliseconds (Jalon and Bayo, 2012;Jaiswal et ah, 2019).
In short, the multibody model simulates the realistic behavior, properties, and physics of the real world in real time. The real-world counterpart, i.e.,
Figure 12.1 Methodology to enable UX integration into the product life cycle using multibody virtual and physical spaces of a digital twin.
the virtual twin simulation model, can exist even before the manufacturing of the actual product in the product development and commercialization stages. Combined with sensor data from the physical space, the multibody simulation model guides users throughout the product lifecycle and enables them to evaluate, optimize, control, and predict real-world working cycles in real time.
User Selection of Component Design Data
Design data describing different components and sub-components of a multibody model are collected, combined, and analyzed. Such data comprises positions, masses, and inertias of bodies, hydraulics, electrics, power transmission element parameters, and friction coefficients representing the physical systems. Combining data from different sources enables designers to analyze product performance with respect to user needs in the multibody simulation model. At this stage, end users and customers participate in the design process and test the features of the product in the simulation model. User comments regarding the multibody model can help designers discover relationships between design data and user preferences.The companies may also be able to use these relationship patterns in future products.