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Highly Efficient IPT Transmitter Circuit Based on a Novel Enhanced Class B Amplifier for Consumer Applications

IEEE Transactions on Consumer Electronics 2025年

作者： Adawy, Abdallah Bouattour, Ghada Ibbini, Mohammed Kanoun, Olfa Technische Universität Chemnitz Professorship Measurement and Sensor Technology Chemnitz Germany Leuphana University of Lüneburg Measurement and Sensor Technology in Production Engineering Lüneburg Germany Jordan University of Science and Technology Irbid Jordan

Designing an efficient Inductive Power Transfer (IPT) system involves significant challenges. On the transmitter side, it is essential to provide the transmitter coil with an alternating current (AC) operating within the kHz-MHz frequency range, which is generally generated by inverters linked to an intermediate direct current (DC) bus. While methods such as Zero Voltage Switching (ZVS) and Zero Current Switching (ZCS) can effectively minimize losses, they frequently lead to increased design complexity and voltage distortion. This paper introduces a compact and highly efficient transmitter circuit, with dimensions of 40 x 60 mm, utilizing an enhanced Class B AC-AC amplifier. This amplifier incorporates an operational amplifier with adjustable gain to deliver a trapezoidal waveform to the gates of the connected MOSFETs. The specific waveform effectively reduces crossover distortion and enhances the overall efficiency of the converter. Experimental results indicate that the efficiency of the proposed circuit surpasses 98%, which is suitable for powering small to medium load levels. © 1975-2011 IEEE.

关键词： Operational amplifiers

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Design of an Energy Efficient sensor Node for Wearable Applications

Design of an Energy Efficient Sensor Node for Wearable Appli...

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IEEE Instrumentation and measurement technology Conference

作者： Abdallah Adawy Achraf Djemal Lidu Wang Ghada Bouattour Ahmed Fakhfakh Olfa Kanoun Measurement and Sensor Technology Faculty of Electrical Engineering and Information Technology Chemnitz University of Technology Chemnitz Germany Laboratory of Signals Systems Artificial Intelligence and Networks Digital Research Centre of Sfax National School of Electronics and Telecommunications of Sfax Technopole of Sfax Tunisia Measurement and Sensor Technology in Production Engineering Leuphana University Lüneburg Germany

ISBN: (数字)9798350380903

ISBN: (纸本)9798350380910

The demand for compact and low-power sensor nodes (SNs) as wearable devices has increased significantly as they contribute significantly to the monitoring of people's health status, providing valuable information for the treatment of various diseases. To address this issue for epilepsy diagnosis, we propose an energy-efficient SN design. The SN incorporates both accelerometer and gyroscope sensors monitoring movements and can be easily attached to an electromyography (EMG) sensor monitoring muscle activities. An internal contact socket allows seamless integration of both devices. The designed system has been tested on a healthy subject and has demonstrated high-quality data measurement. The SN uses low-power Bluetooth 5.0 to communicate with the mobile application, which is designed to modify the built-in sensor parameters and monitor sensor output in real-time. It has an average current consumption of 14.3 mA. In addition, all data from the developed system can be stored on an attached SD card, providing a reliable storage solution.

关键词： Accelerometers Wireless sensor networks Three-dimensional displays Epilepsy Electromyography Real-time systems Energy efficiency

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Predictive modelling of cryogenic hard turning of AISI 52100 based on response surface methodology for the use in soft sensors 6th

Predictive modelling of cryogenic hard turning of AISI 52100...

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6th CIRP Conference on Surface Integrity, CSI 2022

作者： Grossmann, Felix Basten, Stephan Kirsch, Benjamin Ankener, Werner Smaga, Marek Beck, Tilmann Uebel, Julian Seewig, Jörg Aurich, Jan C. Institute For Manufacturing Technology And Production Systems Tu Kaiserslautern Gottlieb-Daimler-Str. Kaiserslautern67663 Germany Institute Of Materials Science And Engineering Tu Kaiserslautern Gottlieb-Daimler-Str. Kaiserslautern67663 Germany Institute For Measurement And Sensor Technology Tu Kaiserslautern Gottlieb-Daimler-Str. Kaiserslautern67663 Germany

This paper focuses on the development of an empirical model for the use in soft sensors to predict the surface layer properties of AISI 52100 machined via cryogenic hard turning. By using response surface methodology, a multiple regression is performed to achieve correlations between the process parameters, the process forces and the temperature, as well as the residual stresses and the austenite content. The results show a predictive R2 of over 0.75 and indicate that the empirical model can be used in soft sensors for a process control of cryogenic hard turning. © 2022 The Authors.

关键词： Cryogenics

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Depth-resolved characterization of cryogenic hard turned surface layer of AISI 52100 by X-ray diffraction and scanning electron microscopy investigations 6th

Depth-resolved characterization of cryogenic hard turned sur...

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6th CIRP Conference on Surface Integrity, CSI 2022

作者： Ankener, Werner Smaga, Marek Uebel, Julian Seewig, Jörg Grossmann, Felix Basten, Stephan Kirsch, Benjamin Aurich, Jan C. Beck, Tilmann Institute Of Materials Science And Engineering Tu Kaiserslautern Gottlieb-Daimler-Str. Kaiserslautern67663 Germany Institute For Measurement And Sensor Technology Tu Kaiserslautern Gottlieb-Daimler-Str. Kaiserslautern67663 Germany Institute For Manufacturing Technology And Production Systems Tu Kaiserslautern Gottlieb-Daimler-Str. Kaiserslautern67663 Germany

In this study, the cryogenic hard turned surface layer of AISI 52100 steel was characterized by depth-resolved investigations of the residual stresses and the austenitic phase content from the surface to a depth of 100 μm. The specimens were manufactured with machining parameters that were chosen based on an empiric model of cryogenic turning. Significant differences were quantified between the specimens regarding residual stresses and the austenitic phase content down to a depth of 20 μm. Here, Grazing Incidence XRD and FIB technique were applied to analyze the mechanically and thermally induced white layer regarding their austenitic phase content and microstructure. © 2022 The Authors.

关键词： Cryogenics

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Depth-resolved characterization of cryogenic hard turned surface layer of AISI 52100 by X-ray diffraction and scanning electron microscopy investigations

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Procedia CIRP 2022年 108卷 66-71页

作者： Werner Ankener Marek Smaga Julian Uebel Jörg Seewig Felix Grossmann Stephan Basten Benjamin Kirsch Jan C. Aurich Tilmann Beck Institute of Materials Science and Engineering TU Kaiserslautern Gottlieb-Daimler-Str. 67663 Kaiserslautern Germany Institute for Measurement and Sensor Technology TU Kaiserslautern Gottlieb-Daimler-Str. 67663 Kaiserslautern Germany Institute for Manufacturing Technology and Production Systems TU Kaiserslautern Gottlieb-Daimler-Str. 67663 Kaiserslautern Germany

In this study, the cryogenic hard turned surface layer of AISI 52100 steel was characterized by depth-resolved investigations of the residual stresses and the austenitic phase content from the surface to a depth of 100 µm. The specimens were manufactured with machining parameters that were chosen based on an empiric model of cryogenic turning. Significant differences were quantified between the specimens regarding residual stresses and the austenitic phase content down to a depth of 20 µm. Here, Grazing Incidence XRD and FIB technique were applied to analyze the mechanically and thermally induced white layer regarding their austenitic phase content and microstructure.

关键词： AISI 52100 Cryogenic hard turning Surface integrity GIXRD Residual stress Retained austenite

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Predictive modelling of cryogenic hard turning of AISI 52100 based on response surface methodology for the use in soft sensors

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Procedia CIRP 2022年 108卷 270-275页

作者： Felix Grossmann Stephan Basten Benjamin Kirsch Werner Ankener Marek Smaga Tilmann Beck Julian Uebel Jörg Seewig Jan C. Aurich Institute for Manufacturing Technology and Production Systems TU Kaiserslautern Gottlieb-Daimler-Str. 67663 Kaiserslautern Germany Institute of Materials Science and Engineering TU Kaiserslautern Gottlieb-Daimler-Str. 67663 Kaiserslautern Germany Institute for Measurement and Sensor Technology TU Kaiserslautern Gottlieb-Daimler-Str. 67663 Kaiserslautern Germany

This paper focuses on the development of an empirical model for the use in soft sensors to predict the surface layer properties of AISI 52100 machined via cryogenic hard turning. By using response surface methodology, a multiple regression is performed to achieve correlations between the process parameters, the process forces and the temperature, as well as the residual stresses and the austenite content. The results show a predictive R 2 of over 0.75 and indicate that the empirical model can be used in soft sensors for a process control of cryogenic hard turning.

关键词： Predictive Model Hard Machining Surface Integrity Process Control Cryogenic cooling

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Kinematic simulation to investigate the influence of the cutting edge topography when ball end micro milling 18

Kinematic simulation to investigate the influence of the cut...

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18th CIRP Conference on Modeling of Machining Operations, CMMO 2021

作者： Klauer, Katja Altherr, Nicolas Eifler, Matthias Kirsch, Benjamin Böß, Volker Seewig, Jörg Aurich, Jan C. Institute for Manufacturing Technology and Production Systems Technische Universität Kaiserslautern Gottlieb-Daimer Str. Kaiserslautern67663 Germany Institute for Measurement and Sensor-Technology Technische Universität Kaiserslautern Gottlieb-Daimer Str. Kaiserslautern67663 Germany IU University of Applied Sciences Juri-Gagrin-Ring 152 Erfurt99084 Germany Institute of Production Engineering and Machine Tools Leibniz Universität Hannover An der Universität 2 Gabsen30823 Germany

During the ball end micro milling of material measures, the cutting edge topography is imaged on the machined workpiece. The influence of the chipping on the resulting surface quality is much more dominant than other kinematic effects. In this simulative study, a model is built that is able to predict the correlation between the cutting edge topography and the resulting workpiece topography. Thus, the mentioned correlation can be investigated without overlaying effects of material separation or measurement uncertainties, which are unavoidable in an experimental study. The model has been validated based on four artificial chippings. © 2021 Elsevier B.V.. All rights reserved.

关键词： Topography

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Monitoring the Evolution of Dimensional Accuracy and Product Properties in Property-Controlled Forming Processes

SSRN

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SSRN 2023年

作者： Stebner, Sophie Charlotte Martschin, Juri Arian, Bahman Dietrich, Stefan Feistle, Martin Hütter, Sebastian Lafarge, Rémi Laue, Robert Li, Xinyiang Schulte, Christopher Spies, Daniel Thein, Ferdinand Wendler, Frank Wrobel, Malte Vasquez, Julian Rozo Dölz, Michael Münstermann, Sebastian Integrity of Materials and Structures RWTH Aachen University Aachen Germany Institute of Forming Technology and Lightweight Components Dortmund University Dortmund Germany Forming and Machining Technology Paderborn University Paderborn Germany Institute for Applied Materials - Material Science Karlsruhe Institute of Technology Karlsruhe Germany Fraunhofer Institute for Casting Composite and Processing Technology Garching Germany Institute of Materials and Joining Technology Otto-von-Guericke University Magdeburg Germany Forming and Machining Processes Technische Universität Dresden Dresden Germany Institute for Machine Tools and Productions Processes Virtual Production Engineering Chemnitz University of Technology Chemnitz Germany Institute of Metal Forming RWTH Aachen University Aachen Germany Institute of Automatic Control RWTH Aachen University Aachen Germany Institute for Production Engineering and Forming Machines Technical University of Darmstadt Darmstadt Germany Institut für Geometrie und Praktische Mathematik RWTH Aachen University Aachen Germany Measurement and Sensor Technology Chemnitz University of Technology Chemnitz Germany Digital Process Engineering Group Institute for Mechanical Process Engineering and Mechanics Karlsruhe Institute of Technology Karlsruhe Germany Materials Test Engineering Dortmund University Dortmund Germany

As recent trends in manufacturing engineering disciplines show a clear development in the sustainable as well as economically efficient design of forming processes, monitoring techniques have been gaining in relevance. In terms of monitoring of product properties, most processes are currently open-loop controlled, entailing that the microstructure evolution, which determines the final product properties, is not considered. However, a closed-loop control that can adjust and manipulate the process actuators according to the required product properties of the component will lead to a considerable increase in efficiency of the processes regarding resources and will decrease postproduction of the component. For most forming processes, one set of component dimensions will result in a certain set of product properties. However, to successfully establish closed-loop property controls for the processes, a systematic understanding of the reciprocity of the dimensions after forming and final product properties must be established. This work investigates the evolution of dimensional accuracy as well as product properties for a series of forming processes that utilize different degrees of freedom for process control. © 2023, The Authors. All rights reserved.

关键词： Process control

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Influence of different cooling strategies during hard turning of AISI 52100 - Part II: Characterization of the surface and near surface microstructure morphology 5

Influence of different cooling strategies during hard turnin...

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5th CIRP Conference on Surface Integrity, CSI 2020

作者： Ankener, Werner Uebel, Julian Basten, Stephan Smaga, Marek Kirsch, Benjamin Seewig, Jörg Aurich, Jan C. Beck, Tilmann Institute of Materials Science and Engineering TU Kaiserslautern Gottlieb-Daimler-Str. Kaiserslautern67663 Germany Institute for Measurement and Sensor Technology TU Kaiserslautern Gottlieb-Daimler-Str. Kaiserslautern67663 Germany Institute for Manufacturing Technology and Production Systems TU Kaiserslautern Gottlieb-Daimler-Str. Kaiserslautern67663 Germany

This two-part paper addresses the impact of seven different cooling conditions on the finishing process as well as the resulting surface and near-surface microstructure morphology of the rolling bearing steel AISI 52100 in martensitic heat treatment state. The applied cooling strategies are liquid nitrogen (LN2-) cooling, CO2-snow cooling at varied mass flows, sub-zero metalworking fluids (MWF) at varied supply temperatures, and dry machining. Part II of the paper concerns the changes in surface roughness, examined by an angle resolved scatter light sensor, micro hardness measurement, microstructure observations, residual stress and phase composition analyses in the near-surface area, caused by the turning process, that is characterized in Part I. The lowest cooling performance, i.e. dry machining, results in low compressive axial residual stresses and a high proportion of retained austenite at the near-surface area. High cooling performance strategies like CO2 cooling or sub-zero MWF show an opposite distribution of the mentioned parameters, wherein the coolants' lubrication effect is an important aspect. Microstructural differences resulting from the process parameters used in these investigations tend to be less significant. Thus, they do not allow reliable assignment of the microstructure to the cooling strategies used. However, different cooling conditions show an impact on residual stresses, phase distribution and surface topography of the workpieces to varying extents. © 2020 The Author(s).

关键词： Cooling

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Kinematic simulation to investigate the influence of the cutting edge topography when ball end micro milling

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Procedia CIRP 2021年 102卷 109-114页

作者： Katja Klauer Nicolas Altherr Matthias Eifler Benjamin Kirsch Volker Böß Jörg Seewig Jan C. Aurich Institute for Manufacturing Technology and Production Systems Technische Universität Kaiserslautern Gottlieb-Daimer Str. 67663 Kaiserslautern Germany Institute for Measurement and Sensor-Technology Technische Universität Kaiserslautern Gottlieb-Daimer Str. 67663 Kaiserslautern Germany IU University of Applied Sciences Juri-Gagrin-Ring 152 99084 Erfurt Germany Institute of Production Engineering and Machine Tools Leibniz Universität Hannover An der Universität 2 30823 Gabsen Germany

关键词： micro milling cutting edge topography kinematic simulation dexel model

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