Artificial intelligence and mechanical engineering are two mature fields of science that
intersect more and more often. Computer-aided mechanical analysis tools, including …

The effect of friction is widespread around us, and most important projects must consider the
friction effect. To better depict the dynamic characteristics of multibody systems with friction …

The exploding usage of physical object properties has greatly facilitated real-time
applications such as robotics to perceive exactly as it appears in existence. Changes in the …

In multibody dynamics simulation (MBS) analysis, researchers usually face three
challenges: high modeling difficulty, large calculation amount, and restricted solver …

To achieve real-time simulations for flexible multibody dynamics (FMBD) systems, we
suggest data-driven modeling based on deep neural networks (DNNs). While a DNN can …

In this paper, a new strategy for developing effective control policies suitable for guiding the
motion of articulated mechanical systems that are described within the framework of …

Hydraulic actuators convert fluid pressure into mechanical motion. They are widely used in
many industrial and aerospace applications due to their reliability, high speed, high force …

In this study, we propose an efficient fixed-time increment-based numerical scheme for data-
driven analysis of general multibody dynamics (MBD) problems combining deep neural …

We describe a framework that can integrate prior physical information, eg, the presence of
kinematic constraints, to support data-driven simulation in multibody dynamics. Unlike other …

Multiple-stage steam turbine generators, like those found in nuclear power plants, pose
special challenges with regards to mechanical unbalance diagnosis. Several factors …