Load Cycle Investigation of Axial Piston Units Integrated into a Forwarder

Ivan Baus, Robert Rahmfeld, Andreas Schumacher, Henrik Clemmensen Pedersen

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

The consideration of the drivetrains behavior under real operating conditions is becoming increasingly important. While in the past decades it was good enough to have a rough knowledge about the operation conditions in field, a more accurate and detailed picture of the duty cycles is required today. Caused by specific and complex operation conditions the load deviation between different applications is significant. In many cases like e.g. lifetime calculation, a precise knowledge of field conditions leads to the more accurate calculated or simulated results. This paper covers the duty cycles investigation of a forwarder application in field including the measurement concept and implementation. Especially, the analysis of the load conditions, clustering algorithm and lifetime calculation is included. The load spectrum generation is consequently done based on comprehensive load cycle determination. The Aim of this work is to verify the calculation accuracy of the load spectrum by using the clustered and raw data. The outcome of the investigation gives an indicator for the load degree of the drivetrain. Here the developed method creates a new and fast possibility of data analysis and is applicable to most drivetrain applications. Furthermore, the collected data is used as reference for future investigation of the forwarder evolution.
OriginalsprogEngelsk
TidsskriftMM (Modern Machinery) Science Journal
Vol/bindOctober 2018
Sider (fra-til)2460-2465
Antal sider6
ISSN1803-1269
DOI
StatusUdgivet - okt. 2018
Begivenhed24rd International Conference on Hydraulics and Pneumatics (ICHP 2018) - Novotneho Lavka 5, Prague, Tjekkiet
Varighed: 12 sep. 201814 sep. 2018
Konferencens nummer: 24
http://ichp.vsb.cz/

Konference

Konference24rd International Conference on Hydraulics and Pneumatics (ICHP 2018)
Nummer24
LokationNovotneho Lavka 5
LandTjekkiet
ByPrague
Periode12/09/201814/09/2018
Internetadresse

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Pistons
Clustering algorithms

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title = "Load Cycle Investigation of Axial Piston Units Integrated into a Forwarder",
abstract = "The consideration of the drivetrains behavior under real operating conditions is becoming increasingly important. While in the past decades it was good enough to have a rough knowledge about the operation conditions in field, a more accurate and detailed picture of the duty cycles is required today. Caused by specific and complex operation conditions the load deviation between different applications is significant. In many cases like e.g. lifetime calculation, a precise knowledge of field conditions leads to the more accurate calculated or simulated results. This paper covers the duty cycles investigation of a forwarder application in field including the measurement concept and implementation. Especially, the analysis of the load conditions, clustering algorithm and lifetime calculation is included. The load spectrum generation is consequently done based on comprehensive load cycle determination. The Aim of this work is to verify the calculation accuracy of the load spectrum by using the clustered and raw data. The outcome of the investigation gives an indicator for the load degree of the drivetrain. Here the developed method creates a new and fast possibility of data analysis and is applicable to most drivetrain applications. Furthermore, the collected data is used as reference for future investigation of the forwarder evolution.",
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Load Cycle Investigation of Axial Piston Units Integrated into a Forwarder. / Baus, Ivan; Rahmfeld, Robert; Schumacher, Andreas; Pedersen, Henrik Clemmensen.

I: MM (Modern Machinery) Science Journal, Bind October 2018, 10.2018, s. 2460-2465.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

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AU - Baus, Ivan

AU - Rahmfeld, Robert

AU - Schumacher, Andreas

AU - Pedersen, Henrik Clemmensen

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N2 - The consideration of the drivetrains behavior under real operating conditions is becoming increasingly important. While in the past decades it was good enough to have a rough knowledge about the operation conditions in field, a more accurate and detailed picture of the duty cycles is required today. Caused by specific and complex operation conditions the load deviation between different applications is significant. In many cases like e.g. lifetime calculation, a precise knowledge of field conditions leads to the more accurate calculated or simulated results. This paper covers the duty cycles investigation of a forwarder application in field including the measurement concept and implementation. Especially, the analysis of the load conditions, clustering algorithm and lifetime calculation is included. The load spectrum generation is consequently done based on comprehensive load cycle determination. The Aim of this work is to verify the calculation accuracy of the load spectrum by using the clustered and raw data. The outcome of the investigation gives an indicator for the load degree of the drivetrain. Here the developed method creates a new and fast possibility of data analysis and is applicable to most drivetrain applications. Furthermore, the collected data is used as reference for future investigation of the forwarder evolution.

AB - The consideration of the drivetrains behavior under real operating conditions is becoming increasingly important. While in the past decades it was good enough to have a rough knowledge about the operation conditions in field, a more accurate and detailed picture of the duty cycles is required today. Caused by specific and complex operation conditions the load deviation between different applications is significant. In many cases like e.g. lifetime calculation, a precise knowledge of field conditions leads to the more accurate calculated or simulated results. This paper covers the duty cycles investigation of a forwarder application in field including the measurement concept and implementation. Especially, the analysis of the load conditions, clustering algorithm and lifetime calculation is included. The load spectrum generation is consequently done based on comprehensive load cycle determination. The Aim of this work is to verify the calculation accuracy of the load spectrum by using the clustered and raw data. The outcome of the investigation gives an indicator for the load degree of the drivetrain. Here the developed method creates a new and fast possibility of data analysis and is applicable to most drivetrain applications. Furthermore, the collected data is used as reference for future investigation of the forwarder evolution.

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KW - load assessment

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