Hybrid Laminate for Haptic Input Device with Integrated Signal Processing
Achieving lightweight construction through only material substitution does not realize the full potential of producing a lightweight material, hence, it is no longer sufficient. Weight-saving goals are best achieved through additional function integration. In order to implement this premise for mass...
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doaj-d919e1c761e2437bb058e00fcdb6cd032020-11-24T21:25:19ZengMDPI AGApplied Sciences2076-34172018-07-0188126110.3390/app8081261app8081261Hybrid Laminate for Haptic Input Device with Integrated Signal ProcessingRené Schmidt0Alexander Graf1Ricardo Decker2Verena Kräusel3Wolfram Hardt4Dirk Landgrebe5Lothar Kroll6Computer Engineering, Chemnitz University of Technology, Straße der Nationen 62, 09111 Chemnitz, GermanyForming and Joining, Chemnitz University of Technology, Reichenhainer Straße 70, 09107 Chemnitz, GermanyDepartment of Lightweight Structures and Polymer Technology, Chemnitz University of Technology, Reichenhainer Straße 31/33, 09126 Chemnitz, GermanyForming and Joining, Chemnitz University of Technology, Reichenhainer Straße 70, 09107 Chemnitz, GermanyComputer Engineering, Chemnitz University of Technology, Straße der Nationen 62, 09111 Chemnitz, GermanyForming and Joining, Chemnitz University of Technology, Reichenhainer Straße 70, 09107 Chemnitz, GermanyDepartment of Lightweight Structures and Polymer Technology, Chemnitz University of Technology, Reichenhainer Straße 31/33, 09126 Chemnitz, GermanyAchieving lightweight construction through only material substitution does not realize the full potential of producing a lightweight material, hence, it is no longer sufficient. Weight-saving goals are best achieved through additional function integration. In order to implement this premise for mass production, a manufacturing process for joining and forming hybrid laminates using a new tool concept is presented. All materials used are widely producible and processable. The manufactured cover of an automotive center console serves to demonstrate a human interface device with impact detection and action execution. This is only possible through a machine learning system, which is implemented on a small—and thus space- and energy-saving—embedded system. The measurement results confirm the objective and show that localization was sufficiently accurate.http://www.mdpi.com/2076-3417/8/8/1261hybrid laminatepiezoceramic compoundsensor functionsheet metal formingimpact detection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
René Schmidt Alexander Graf Ricardo Decker Verena Kräusel Wolfram Hardt Dirk Landgrebe Lothar Kroll |
spellingShingle |
René Schmidt Alexander Graf Ricardo Decker Verena Kräusel Wolfram Hardt Dirk Landgrebe Lothar Kroll Hybrid Laminate for Haptic Input Device with Integrated Signal Processing Applied Sciences hybrid laminate piezoceramic compound sensor function sheet metal forming impact detection |
author_facet |
René Schmidt Alexander Graf Ricardo Decker Verena Kräusel Wolfram Hardt Dirk Landgrebe Lothar Kroll |
author_sort |
René Schmidt |
title |
Hybrid Laminate for Haptic Input Device with Integrated Signal Processing |
title_short |
Hybrid Laminate for Haptic Input Device with Integrated Signal Processing |
title_full |
Hybrid Laminate for Haptic Input Device with Integrated Signal Processing |
title_fullStr |
Hybrid Laminate for Haptic Input Device with Integrated Signal Processing |
title_full_unstemmed |
Hybrid Laminate for Haptic Input Device with Integrated Signal Processing |
title_sort |
hybrid laminate for haptic input device with integrated signal processing |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2018-07-01 |
description |
Achieving lightweight construction through only material substitution does not realize the full potential of producing a lightweight material, hence, it is no longer sufficient. Weight-saving goals are best achieved through additional function integration. In order to implement this premise for mass production, a manufacturing process for joining and forming hybrid laminates using a new tool concept is presented. All materials used are widely producible and processable. The manufactured cover of an automotive center console serves to demonstrate a human interface device with impact detection and action execution. This is only possible through a machine learning system, which is implemented on a small—and thus space- and energy-saving—embedded system. The measurement results confirm the objective and show that localization was sufficiently accurate. |
topic |
hybrid laminate piezoceramic compound sensor function sheet metal forming impact detection |
url |
http://www.mdpi.com/2076-3417/8/8/1261 |
work_keys_str_mv |
AT reneschmidt hybridlaminateforhapticinputdevicewithintegratedsignalprocessing AT alexandergraf hybridlaminateforhapticinputdevicewithintegratedsignalprocessing AT ricardodecker hybridlaminateforhapticinputdevicewithintegratedsignalprocessing AT verenakrausel hybridlaminateforhapticinputdevicewithintegratedsignalprocessing AT wolframhardt hybridlaminateforhapticinputdevicewithintegratedsignalprocessing AT dirklandgrebe hybridlaminateforhapticinputdevicewithintegratedsignalprocessing AT lotharkroll hybridlaminateforhapticinputdevicewithintegratedsignalprocessing |
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1725983438932017152 |