Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 6th CIRP Global Web Conference, CIRPe 2018 |
| Untertitel | Envisaging the Future Manufacturing, Design, Technologies and Systems in Innovation Era |
| Herausgeber/-innen | Alessandro Simeone, Paolo C. Priarone |
| Herausgeber (Verlag) | Elsevier Science B.V. |
| Seiten | 49-54 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9781510875692 |
| Publikationsstatus | Veröffentlicht - 24 Nov. 2018 |
| Veranstaltung | 6th CIRP Global Web Conference, CIRPe 2018 - Dauer: 23 Okt. 2018 → 25 Okt. 2018 |
Publikationsreihe
| Name | Procedia CIRP |
|---|---|
| Band | 78 |
| ISSN (Print) | 2212-8271 |
Abstract
Fibre-reinforced plastics (FRPs) are becoming increasingly important in aerospace and automotive applications. However, dry machining of FRPs generates abrasive and electrically conductive dust particles that can furthermore cause explosive dust-air mixtures in the enclosed workspace of the machine tool. In order to protect the machine operator and the machine tool, powerful extraction systems (engine power > 5 kW) are usually installed and operated with a constant flow rate, resulting in a significant increase of the machine tool's overall energy requirement. This paper introduces a novel approach for a demand-oriented control of the flow rate to increase the energy efficiency of dust extraction systems. The objective of the developed control mechanisms is to maintain the maximum permissible dust limit with minimum energy demand. A low-cost dust sensor serves as a feedback system for the applied control mechanism. In a further stage, a force measuring platform was added to provide additional signals for an increased performance of the controlled system. To evaluate the presented approach, milling tests were carried out with carbon-fibre-reinforced plastic (CFRP). The experimental results show that the energy requirement can be reduced by up to 70%.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
Ziele für nachhaltige Entwicklung
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- BibTex
- RIS
6th CIRP Global Web Conference, CIRPe 2018: Envisaging the Future Manufacturing, Design, Technologies and Systems in Innovation Era. Hrsg. / Alessandro Simeone; Paolo C. Priarone. Elsevier Science B.V., 2018. S. 49-54 (Procedia CIRP; Band 78).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Energy-efficient control of dust extraction for the machining of fibre-reinforced plastics
AU - Denkena, Berend
AU - Bergmann, Benjamin
AU - Rahner, Björn Holger
N1 - Funding information: This research and development project is funded by the German Federal Ministry of Education and Research (BMBF) within the programme “Innovations for omT orrow’s Production, Services, and Work” (02P14A161). he T authors are responsible for the contents of this publication.
PY - 2018/11/24
Y1 - 2018/11/24
N2 - Fibre-reinforced plastics (FRPs) are becoming increasingly important in aerospace and automotive applications. However, dry machining of FRPs generates abrasive and electrically conductive dust particles that can furthermore cause explosive dust-air mixtures in the enclosed workspace of the machine tool. In order to protect the machine operator and the machine tool, powerful extraction systems (engine power > 5 kW) are usually installed and operated with a constant flow rate, resulting in a significant increase of the machine tool's overall energy requirement. This paper introduces a novel approach for a demand-oriented control of the flow rate to increase the energy efficiency of dust extraction systems. The objective of the developed control mechanisms is to maintain the maximum permissible dust limit with minimum energy demand. A low-cost dust sensor serves as a feedback system for the applied control mechanism. In a further stage, a force measuring platform was added to provide additional signals for an increased performance of the controlled system. To evaluate the presented approach, milling tests were carried out with carbon-fibre-reinforced plastic (CFRP). The experimental results show that the energy requirement can be reduced by up to 70%.
AB - Fibre-reinforced plastics (FRPs) are becoming increasingly important in aerospace and automotive applications. However, dry machining of FRPs generates abrasive and electrically conductive dust particles that can furthermore cause explosive dust-air mixtures in the enclosed workspace of the machine tool. In order to protect the machine operator and the machine tool, powerful extraction systems (engine power > 5 kW) are usually installed and operated with a constant flow rate, resulting in a significant increase of the machine tool's overall energy requirement. This paper introduces a novel approach for a demand-oriented control of the flow rate to increase the energy efficiency of dust extraction systems. The objective of the developed control mechanisms is to maintain the maximum permissible dust limit with minimum energy demand. A low-cost dust sensor serves as a feedback system for the applied control mechanism. In a further stage, a force measuring platform was added to provide additional signals for an increased performance of the controlled system. To evaluate the presented approach, milling tests were carried out with carbon-fibre-reinforced plastic (CFRP). The experimental results show that the energy requirement can be reduced by up to 70%.
KW - dry machining
KW - dust sensor
KW - energy-efficient control
KW - extraction system
KW - Fibre-reinforced plastics
UR - http://www.scopus.com/inward/record.url?scp=85059879843&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2018.08.178
DO - 10.1016/j.procir.2018.08.178
M3 - Conference contribution
AN - SCOPUS:85059879843
T3 - Procedia CIRP
SP - 49
EP - 54
BT - 6th CIRP Global Web Conference, CIRPe 2018
A2 - Simeone, Alessandro
A2 - Priarone, Paolo C.
PB - Elsevier Science B.V.
T2 - 6th CIRP Global Web Conference, CIRPe 2018
Y2 - 23 October 2018 through 25 October 2018
ER -