2007
DOI: 10.4028/www.scientific.net/amm.9.115
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On Pain Detection in Multibody Systems

Abstract: Up to now a coherence between pain and technical systems has almost not been researched. Whereas some aspects of the nociceptive pain which serves human beings as a warning system and is also described as useful, can be transferred necessarily to technical systems. The idea of pain detection is an additional product of the Mesoscopic Particle Method [2-4]. Thereby the transformation of kinetic energy into heat energy caused by impact- and friction processes in the boundary layer of contact areas is described c… Show more

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Cited by 5 publications
(2 citation statements)
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“…Jerk in autonomous driving is used to evaluate the comfortable ride and safety of the passengers [12,114,123,187,188] (Table 24). [177] Applied Mechanics and Materials N/A The concept of technical pain, which is based on the analysis of mesoscopic systems, was introduced in this work. The system was modeled as damped oscillators and the heat transferred by an impact.…”
Section: Jerk In Vehicles: Autonomous Vehiclesmentioning
confidence: 99%
“…Jerk in autonomous driving is used to evaluate the comfortable ride and safety of the passengers [12,114,123,187,188] (Table 24). [177] Applied Mechanics and Materials N/A The concept of technical pain, which is based on the analysis of mesoscopic systems, was introduced in this work. The system was modeled as damped oscillators and the heat transferred by an impact.…”
Section: Jerk In Vehicles: Autonomous Vehiclesmentioning
confidence: 99%
“…For several system conditions it is possible that the rotor is driven at an overcritical speed, but the free imbalance synchronizes to the critical speed of the rotor and leads to vibrations with high amplitudes. A model based on the laval rotor was developed as a real-time damage observer [4], the numerical analysis of this model is shown in [5] for a rotor with time-dependent rotational speed. The influence of the synchronization state on the rotor propulsion is discussed in this paper.…”
Section: Introductionmentioning
confidence: 99%