Physics-informed neural networks (PINN) can be used to predict flow fields with a minimum of simulated or measured training data. As most technical flows are turbulent, PINNs based on the Reynolds-averaged Navier–Stokes (RANS) equations incorporating turbulence model needed. Several studies demonstrated capability solve Naver–Stokes for laminar flows. However, little work has been published concerning application RANS turbulent This study applied RANS-based PINN approach backward-facing step...

Tendon-based parallel manipulators with n d.o.f. use at least m = + 1 tendons to guide the end effector along a given trajectory. Since can only transmit limited and tractive forces, it is essential apply valid tendon force distribution. Due safety precision requirements, combined position control needed where calculation delivers desired distributions. The high dynamic potential of robot demands for realtime capable algorithms. To avoid steps in motor torques calculated tension...

This paper presents a supervised machine learning state estimation scheme that is able to estimate the current sideslip angle of vehicle. It consists recurrent neural network with gated units, an additional input projection and regression head. structure has been chosen limit computational complexity model while preserving expressiveness overall system. will also be shown how equations simplified vehicle can incorporated make use existing domain knowledge. The results show reach excellent...

Autonomous driving has many positive impacts, such as improving driver and passenger safety, comfort, traffic efficiency, but all these advantages are based on people’s trust acceptance of this mode driving. Anthropomorphic can enhance the comfort drivers passengers is seen a feasible measure to increase autonomous This paper reports microscopic simulation three scenarios around frequently congested intersection, using non-automated vehicles, anthropomorphic vehicles explore their impact...

The high number of devices with limited computational resources as well communication are two characteristics the Industrial Internet Things (IIoT). With Industry 4.0 emerges a strong demand for data processing in edge, constrained primarily by available resources. In industry, deep reinforcement learning (DRL) is increasingly used robotics, job shop scheduling and supply chain. this work, DRL applied intelligent resource allocation industrial edge devices. An optimal usage IIoT should be...

This paper presents the evaluation of frequency-based approach predicted spring using acceleration signals that were collected from various road conditions. Random loadings in forms are nominal and more flexible for vehicle components fatigue assessment. In this analysis, strain time history suspension strut was measured three different The then transformed into power spectra density (PSD). PSD cycle counter, like Lalanne, Dirlik, narrow band approach, applied to obtain equivalent load...

Today the automotive industry faces a robust trend toward assisted and automated driving. The technology to accomplish this ambition has evolved rapidly over last few years, yet there are still alot of algorithmical challenges left make an automation driving task safe comfortable experience. One main remaining is comprehension current traffic situation anticipation all participants' future behavior, which needed for technical system obtain awareness: indispensable foundation successful...

When changing from active driving to conditional automated (CAD), the question arises whether users still prefer their own behavior while being a passenger. The aim of this paper is analyze preferences in CAD based on perception comfort and safety, taking personal into account. Furthermore, it investigated if are able manually demonstrate desired for CAD. Data personal, experienced 42 participants real-world study was used investigate both research questions car-following (CF) decelerating...

A growing interest in Electromechanical Brakes (EMBs) is discernible the automotive industry. Nevertheless, no EMBs have ever been deployed for series production, although countless publications made, and patents filed. One reason this need optimization of functional safety. Due to missing mechanical/hydraulic link between driver actuator, sophisticated concepts be elaborated upon. This paper presents current state art safety EMB systems (only publicly available are reviewed). An analysis...

This paper presents the use of a generated artificial road profile in simulation quarter car model for spring durability based-force extraction.In situ measurement loading automotive analysis, requires considerable cost and effort due to complex experimental setup.Hence, an was obtain force signals.Initially, according ISO 8608 standard, class "A" using designated waviness value, unevenness index random phase angle.The used as input constructed signals.Subsequently, nominal signal predict...

Software sensors are playing an increasingly important role in current vehicle development. Such soft can be based on both physical modeling and data-based modeling. Data-driven is building a model purely captured data which means that no system knowledge required for the application. At same time, hyperparameters have particularly large influence quality of model. These parameters architecture training process machine learning algorithm. This paper deals with comparison different...