Wire Robot Suspension Systems for Wind Tunnels
Notice bibliographique
Résumé
In the past decade, the main focus in ship hydrodynamic simulation was the computation of the viscous flow around a ship at constant speed and parallel inflow to the ship longitudinal axis. Meanwhile, the numerical methods developed by extensive research allow to simulate the viscous flow around a maneuvering vessel. Having these methods at hand, experimental data are required for the validation of the applied simulation models. These data can be obtained e.g. by wind tunnel experiments. Here, particularly the velocity distribution around the body and forces of the flow during a predefined motion are of interest. The motion of the ship model can be realized by a superposition of longitudinal motion simulated through the inflow in the wind tunnel and a transverse or rotational motion of the ship realized by a suspension mechanism. Mechanisms for guiding a ship model along a predefined trajectory are known e.g. from towing tank applications. However, the design criteria for these mechanisms are totally different from a wind tunnel suspension system. In the towing tank, the weight of the studied vessel is compensated by the buoyancy force. On the other hand, the required forces to move the model along a trajectory are much higher due to the higher density and mass of the water in comparison with air. In the wind tunnel application, the mass of the model leads to gravity and inertia forces which have to be compensated by the suspension system. This chapter describes the development of a suspension system based on wire robot technology. Wire robots use wires for the suspension of their end effectors. In this application, this is very advantageous since wires have a relatively small aerodynamical footprint and allow for high loads. The system described within this chapter is installed at the Technical University Hamburg-Harburg, where ship models must be moved on defined trajectories within the wind tunnel, as described above (Sturm & Schramm, 2010). The application requires the motion of heavyweight payloads up to 100kg with a frequency of up to 0.5Hz for the translational degrees-of-freedom and up to 2.5Hz for the rotational degrees-of-freedom. Within this chapter, at first a short historical review of the very active wire robot research within the last years is given in section 2. Afterwards, an appropriate design of the wire robot system is discussed in section 3. Due to the adaptability of the wire robot concept, different geometries are possible. Based upon the mechatronic development process according to VDI (2004), two designs are investigated in section 3. Therefore, virtual prototypes using mathematical models and numerical simulation are developed in sections 3.1 and 3.2. Based on the simulation results, the two designs are compared in section 3.3. Using numerical 2
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».