Examinando por Materia "machine"

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    Ítem
    Design to Achieve Accuracy in Ink-Jet Cylindrical Printing Machines
    (MDPI AG, 2019-01-11) Arango, Ivan; Cifuentes, Catherine; Arango, Ivan; Cifuentes, Catherine; Universidad EAFIT. Departamento de Ingeniería Mecánica; Mecatrónica y Diseño de Máquinas
    Machines for direct digital inkjet printing on cylindrical containers are a new technology out on the market. The commercialization in the industrial sector has been affected by their high precision. This led to the use of mechanisms with narrow manufacturing tolerances and to the searches for topologies that have the least accumulated error without affecting quality. Machines with topologies that work on flat substrates have printing and productivity problems working on cylindrical substrates. This research paper presents the qualitative design of direct digital inkjet printers working over cylindrical substrates comparing five mechanical topologies; three topologies with radial distribution and two topologies with parallel distribution. The aim of these topologies is to find the precision, quality and efficiency of the printer taking into account the restrictions present in its construction. Each topology has separate constitutive mechanisms, the tolerance ranges between the movements of the print head and the substrate in order to determine precision are analyzed. Out of the five topologies described and analyzed in the phase diagram in section 3, three of them meet the requirements. One of the three topologies that meet the requirements is not being developed due to current technological limitations.
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    Ítem
    Evaluation of various strategies to improve the training of a brain computer interface system
    (2013-01-01) Jiménez, L.D.; Trefftz, H.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    Brain-computer interfaces (BCI) allow for communication between the human brain and computers. They have been used to create systems able to generate control over a software or mechatronic device, becoming an important tool for the rehabilitation of handicapped people, especially for patients with quadriplegia. Due to the importance of BCIs, any attempt to improve their response has a great value. The work described in this paper consists of the evaluation of various stimuli applied to improve the training of a BCI based system. The device is the Emotiv® EPOC which includes a Software Development Kit (SDK) to train the system. During the usual training of the SDK; images, videos, thoughts, movements and gestures were used as stimuli to improve the users' skills for accomplishing specific actions. After the evaluation of these stimuli, they were ranked according to their effectiveness. Finally, a powered wheelchair was controlled using the Emotiv® EPOC by applying the best-ranked stimulus and an assessment protocol was used in order to evaluate the performance of users driving the wheelchair with the BCI, with satisfactory results.