Mikrostrukturierte Spezialgläser für mikromechanische und mikrooptische Anwendungen. - In: Mikrosystemtechnik, (2022), S. 35-38
Entwicklung und Validierung einer Methodik zur anwendungsnahen Beschreibung des Werkzeugverschleißes an Rührreibschweißwerkzeugen. - In: DVS Congress 2022 - Große Schweißtechnische Tagung - DVS Campus, (2022), S. 62-68
Optimization of the ultrasonic crimping process of high-frequency litz wires by using process data monitoring. - In: 2022 12th International Electric Drives Production Conference (EDPC), (2022), insges. 7 S.
From a technological point of view, the contacting process of insulated wires to contact elements is one of the most complex steps in electromechanical engineering. To establish an electrical and mechanical connection of winding ends and contact elements, commonly the wire is stripped before the actual contacting process. However, for high-frequency litz wires, consisting of up to several thousand insulated single wires, the stripping process cannot be carried out in advance. Therefore, processes such as hot crimping or ultrasonic crimping, in which the insulation is thermally removed during the crimping process, are used. The latter is characterized by a significantly lower process energy consumption compared to the hot crimping process. It is therefore most attractive for future applications, but process optimization strategies have hardly been addressed in the literature. Within the scope of this publication, several possibilities of optimizing the process of ultrasonic crimping are investigated by means of systematic process data analysis. For this analysis, directly available data from the control system like the required process energy as well as additionally acquired sensor data, such as the sonotrode oscillation, are taken into account and a variation of process control variables as well as the cable lug clamping is conducted.
https://doi.org/10.1109/EDPC56367.2022.10019751
Labeling custom indoor point clouds through 2D semantic image segmentation. - In: 2022 Sixth IEEE International Conference on Robotic Computing, (2022), S. 261-264
For effective Computer Vision (CV) applications, one of the difficult challenges service robots have to face concerns with complete scene understanding. Therefore, various strategies are employed for point-level segregation of the 3D scene, such as semantic segmentation. Currently Deep Learning (DL) based algorithms are popular in this domain. However, they require precisely labeled ground truth data. Generating this data is a lengthy and expensive procedure, resulting in a limited variety of available data. On the contrary, the 2D image domain offers labeled data in abundance. Therefore, this study explores how we can achieve accurate labels for the 3D domain by utilizing semantic segmentation on 2D images and projecting the estimated labels to the 3D space via the depth channel. The labeled data may then be used for vision related tasks such as robot navigation or localization.
https://doi.org/10.1109/IRC55401.2022.00050
Applying novel EMBRACE technological solutions to measure and optimize brain response to exercise.. - In: Alzheimer's and dementia, ISSN 1552-5279, Bd. 18 (2022), e069057, insges. 1 S.
Background: Extensive evidence supports the notion that physical activity (PA) promotes healthy aging and contributes to the prevention of brain damage and dementia. However, there are relevant differences in individual response to exercise that could mediate the extent of the PA-induced benefits. Here, we propose the application of the novel technology that is currently being developed by the EMBRACE project researchers to the characterization of the individual physiological response to exercise in older adults. Method: EMBRACE is an intersectoral and international consortium that brings together experts in biomedical engineering, material science, signal processing, neuroscience and social psychology from 3 academic and 3 industrial partners across 3 EU countries to develop: 1) a new mobile and wireless dry electrode EEG system suitable for monitoring brain activity during full body movements; 2) novel body network sensors and a multimodal alignment system for simultaneously recording of neural, physiological and kinematic signals from two interacting subjects; 3) novel analytical solutions for motion artefact removal and multi-level analysis of multimodal data; and 4) a new research dyadic paradigm to exploit the technological advances. Result: The novel technological solutions that are being currently developed by the EMBRACE consortium will enable the study of joint action at the neural, cognitive, behavioral and social levels while the participant engages in PA (individually or in social interaction), wearing a comfortable and long-lasting acquisition system. Conclusion: A detailed characterization of the individual response to exercise will help in the optimization of exercise routines with the aim to elicit the desired physiological response to enhance brain health and prevent dementia.
https://doi.org/10.1002/alz.069057
Study of the temperature behaviour in the polishing gap for different combinations of polishing pads and slurries. - In: Proceedings of the 22nd International Conference of the European Society for Precision Engineering and Nanotechnology, (2022), S. 509-512
Entwicklung einer lichtbogenbasierten, additiven Herstellung endkontur-naher Ti-6AI-4V-Bauteile mit Draht unter kontrollierter Wärmezu- und -abfuhr. - In: #additivefertigung: Metall in Bestform, (2022), S. 135-142
Intelligent sensors based on amorphous nanostructures according to achieve an optimal waste collection in Lima Peru. - In: ICIEA 2022, (2022), S. 1606-1611
An optimal waste collection is a very complicated task in different countries. However, this task is more intricate, when there is not an organized procedure between people, government and technology. In this research it was studied and proposed strategies, to optimize the waste collection by technical suggestions, that were based on mathematical analysis and new technologies applications of sensors based on nanostructures due to this kind of sensors have good performance to measure physical variables in not simple places and conditions, such as around waste. Hence the reason, this work is prepared to contribute in the development of sensors based on nanostructures according to detect the physical variables: temperature, humidity, infrared reflection, moreover carbon dioxide (CO2) and methane (CH4) gases, which help to monitor the consequences of a not correct waste collection.As dependence on central and local government rules of waste management, it could be possible to find solution about organized waste collection, in which every family and walkers in streets would have the task to select the organic and inorganic garbage before the government trucks take the contents of the garbage trash cans to the landfill garbage dumps. However, many times the trash cans are not taken on time by the government trucks and garbage from them are producing gases and decomposition that causes contamination that damages health. Therefore, in this work there are proposed designed intelligent sensors, which are fixed in the trash cans due to measure physical parameters to give alarm for administrators controllers of boxes and to enhance the garbage selections from homes and streets to the main garbage landfills of the city. In other side, there will not be right solution in the waste collection, no matter the high advantage technologies, while humans could not be sensitive under this problematic. There are cleaned areas in cities, as for example touristic places, nevertheless, there are plenty places, where are not cared and people in streets through residual solids around, hence the technical solution will be useful only whether humans can get the environment caring condition compromise.
https://doi.org/10.1109/ICIEA54703.2022.10006092
Emulation of electromagnetic plane waves for 3D antenna pattern estimation. - In: 2022 IEEE 96th Vehicular Technology Conference:(VTC 2022-Fall), (2022), insges. 6 S.
With the fast development of wireless devices, over-the-air (OTA) testing is becoming the preferred method among developers and manufacturers of wireless equipment. The ability to recreate a scenario under controllable and repeatable conditions keeps the method under constant development, providing new features that increase the realism during the tests. A recent proof of that is the integration of 3D wave field synthesis (3DWFS) to OTA testing, which becomes a significant step to accurately emulate wireless scenarios within a controlled environment.In this context, this contribution improves the OTA system calibration for 3DWFS; efficiently increasing the emulation quality of electromagnetic plane waves impinging from any angular position within an anechoic chamber. In fact, this enhancement implicitly delivers a new method for accurate estimation of the antenna radiation pattern in 3D. This is not only a highly demanded application among antenna manufacturers but in this case also proves the validity of the results and consolidates the integration of 3DWFS to OTA testing.
https://doi.org/10.1109/VTC2022-Fall57202.2022.10013008
Design of the mechanical system for the quantum electro-mechanical metrology suite. - In: 36th ASPE Annual Meeting 2021, (2022), S. 53-56