There is a huge demand for flexible strain sensors due to the rapid development of wearable devices. Nevertheless, conventional metals and rigid semiconductor-based strain sensors have been limited in their applicatio...
There is a huge demand for flexible strain sensors due to the rapid development of wearable devices. Nevertheless, conventional metals and rigid semiconductor-based strain sensors have been limited in their application due to their poor stretchability and sensitivity, and a great deal of effort has been put into finding suitable sensors to overcome these limitations. Filament-based strain sensors are a new technology that can be used to make wearable electronic devices. Due to their intrinsic properties, filament-based sensors are superior to conventional rigid sensors for detecting human body motions due to their weight, flexibility, stitchability, and especially their high stretchability. In this paper, multiwalled carbon nanotubes and thermoplastic polyurethane (TPU/MWCNT) were combined using mechanical force methods to produce dispersions of MWCNT with different types of TPU. Different types of filaments were fabricated using an easy and cost-effective method, which is extrusion. Moreover, the effect of the nature of the TPU on the stability of the sensors’ conductivities is investigated. The performances of these filaments were analyzed in terms of mechanical, electrical, and electromechanical properties. The results show that the sensor with the combination of TPU 3 /MWCNT exhibits a strong capacity to transform mechanical deformation into an electrical response. The elastic zone was estimated at 24.49% (linearity = 0.98 within the elastic zone) and 10.1 MPa of young modulus.
Agile production lines call for an effective and intuitive way of programming robots. However, traditional approaches rely on providing low-level instructions using either a script-based language or a graphical user i...
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ISBN:
(数字)9781665434454
ISBN:
(纸本)9781665434461
Agile production lines call for an effective and intuitive way of programming robots. However, traditional approaches rely on providing low-level instructions using either a script-based language or a graphical user interface to export low-level instructions. This, however, can be tedious for assembly tasks. In this work, we present an approach that generates low-level robot control commands from highly abstract communicative hand gestures. In contrast to other works, we use several abstraction layers to generate such commands with as little user input as possible. For this, we use a body-attached multi-sensor setup consisting of a pressure band, a smart glove, EMG and IMU units. Their combined signals define a multi-dimensional vector per time step. We use a Recurrent Neural Network to infer the gesture class from the pre-processed data stream. From these user inputs we generate a set of symbolic spatial relations describing the assembly process. This formal description is then used to select and execute robot skills such as grasping. Hence, we reduce the ambiguity of abstract instructions in several steps and allow for effective gesture-based robot programming. In our work we give insights in defining and detecting such gestures. In addition, we illustrate the functionality of the whole system at real-world examples.
The monitoring of industrial environments ensures that highly automated processes run without interruption. However, even if the industrial machines themselves are monitored, the communication lines are currently not ...
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ISBN:
(纸本)9781728140704
The monitoring of industrial environments ensures that highly automated processes run without interruption. However, even if the industrial machines themselves are monitored, the communication lines are currently not continuously monitored in todays installations. They are checked usually only during maintenance intervals or in case of error. In addition, the cables or connected machines usually have to be removed from the system for the duration of the test. To overcome these drawbacks, we have developed and implemented a cost-efficient and continuous signal monitoring of Ethernet-based industrial bus systems. Several methods have been developed to assess the quality of the cable. These methods can be classified to either passive or active. Active methods are not suitable if interruption of the communication is undesired. Passive methods, on the other hand, require oversampling, which calls for expensive hardware. In this paper, a novel passive method combined with undersampling targeting cost-efficient hardware is proposed.
In this paper, infrared sensitive thin films based on chemically reduced graphene oxide were studied as function of reductions time and reduction temperature. The graphene oxide dispersion was deposited on the flexibl...
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ISBN:
(纸本)9781509044078
In this paper, infrared sensitive thin films based on chemically reduced graphene oxide were studied as function of reductions time and reduction temperature. The graphene oxide dispersion was deposited on the flexible substrate by drop casting. The reduction of graphene oxide was achieved by hydroiodic acid at different reduction times and temperatures. These reduced graphene oxide films were characterized by UV-Vis spectroscopy, scanning electron microscopy to study the optical and morphology properties. The UV-Vis spectroscopy spectra shows that by increasing the reduction time more C=O bonds are broken and the band gap can be tuned by changing reduction time. SEM images confirm the reduction process. IR sensitivity of these films were carried out with 980 nm laser illumination at room temperature. The highest sensitivity of 7% at laser illumination of 3.1mW/mm 2 was found for the reduction time of 2 minutes.
Power transmission is becoming increasingly challenging because of the growth of electricity demands and distribution of renewable energies. Therefore, an effective monitoring of power lines is of decisive importance ...
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ISBN:
(纸本)9781467315906
Power transmission is becoming increasingly challenging because of the growth of electricity demands and distribution of renewable energies. Therefore, an effective monitoring of power lines is of decisive importance for network management. In this paper, we propose a solution for energy harvesting from the electrostatic stray field of the power line to power the wireless sensor nodes. Theoretical considerations for the power module and the design of the energy management unit are presented. A realized prototype of the power module was tested under laboratory conditions. A field test shows that energy harvester can collect enough energy to power the sensor device by 16 mW.
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