Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Typical performance cycles of mobile machinery taking into account the operator influence
Mobile machines such as wheel loaders or excavators are used in a variety of applications. Thus the assessment of typical load cases for the design and development process of a machine will never incorporate all possible scenarios. Even bench tests may not be sufficient since environmental conditions and particularly the operator have a major influence on the state of the machine. The paper presented here describes a method to extract typical load cycles from 'real-life' measurements of a given task, taking into account different skill and experience of the operator. Firstly cycle-specific features such as criteria for the evaluation of operator skill must be identified. Secondly a general approach for data reduction is used to derive a small subset of significant datasets from an extensive field test database of work cycles. That way, typical task- and feature-dependent cycles can be found. Finally those cycles can be used as input or reference for simulation experiments. This approach is demonstrated for the trenching process with a 20 t excavator. The method described in this paper provides a way to determine representative performance cycles from extensive measurements. The operator influence is incorporated by a statistical model of characteristic features. That way, the operating behaviour of a machine, for a process pattern and operator type, can be described through only a few representative working cycles which are manageable inputs for simulation or bench tests. Making use of a statistical model, the results can be extrapolated to longer operation periods. Hence an effort reduction is achieved, since in this example the operation point distribution of 208 cycles is mapped onto 10 representative cycles.
Typical performance cycles of mobile machinery taking into account the operator influence
Mobile machines such as wheel loaders or excavators are used in a variety of applications. Thus the assessment of typical load cases for the design and development process of a machine will never incorporate all possible scenarios. Even bench tests may not be sufficient since environmental conditions and particularly the operator have a major influence on the state of the machine. The paper presented here describes a method to extract typical load cycles from 'real-life' measurements of a given task, taking into account different skill and experience of the operator. Firstly cycle-specific features such as criteria for the evaluation of operator skill must be identified. Secondly a general approach for data reduction is used to derive a small subset of significant datasets from an extensive field test database of work cycles. That way, typical task- and feature-dependent cycles can be found. Finally those cycles can be used as input or reference for simulation experiments. This approach is demonstrated for the trenching process with a 20 t excavator. The method described in this paper provides a way to determine representative performance cycles from extensive measurements. The operator influence is incorporated by a statistical model of characteristic features. That way, the operating behaviour of a machine, for a process pattern and operator type, can be described through only a few representative working cycles which are manageable inputs for simulation or bench tests. Making use of a statistical model, the results can be extrapolated to longer operation periods. Hence an effort reduction is achieved, since in this example the operation point distribution of 208 cycles is mapped onto 10 representative cycles.
Typical performance cycles of mobile machinery taking into account the operator influence
Mieth, Sebastian (Autor:in) / Voigt, Sebastian (Autor:in) / Kunze, Günter (Autor:in)
2012
11 Seiten, 11 Bilder, 10 Quellen
Aufsatz (Konferenz)
Englisch
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