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The Lehrstuhl für Wärmeübertragung und Klimatechnik at the Aachen University of Technology operates several test facilities to investigate fundamentals of heat and mass transfer supported by the Deutsche Forschungsgemeinschaft, the Minister für Forschung und Technologie and the industry. In order to get high-resolution and reproselection of hardware components is as critical as the design of software routines to perform successful and accurate measurements. In the following the development of the measurement and control system for three different test facilities is presented and discussed. Special attention is given to the education of students within the framework of laboratories and scientific experiments.
Elektromagnetischer Aktuator zur Betätigung eines Stellgliedes (2), mit wenigstens einem Elektromagneten (4) und einem mit dem Stellglied (2) verbundenen Anker (3), der gegen die Kraft einer Rückstellfeder (6) aus seiner Ruhelage in Richtung auf den Elektromagneten (4) bewegbar ist, mit einer Rückstellfeder (6), die eine nicht lineare, bezogen auf die Ruhelage des Ankers (3) progressiv ansteigende Kennlinie aufweist.
This paper addresses the pixel based recognition of 3D objects with bidirectional associative memories. Computational power and memory requirements for this approach are identified and compared to the performance of current computer architectures by benchmarking different processors. It is shown, that the performance of special purpose hardware, like neurocomputers, is between one and two orders of magnitude higher than the performance of mainstream hardware. On the other hand, the calculation of small neural networks is performed more efficiently on mainstream processors. Based on these results a novel concept is developed, which is tailored for the efficient calculation of bidirectional associative memories. The computational efficiency is further enhanced by the application of algorithms and storage techniques which are matched to characteristics of the application at hand.