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Experiments for derived factors with application to hydraulic gear pumps

Experiments for derived factors with application to hydraulic gear pumps
Experiments for derived factors with application to hydraulic gear pumps
For experiments on mechanical products composed of several components, such as a hydraulic gear pump, conventional methods of designing and implementing factorial experiments can be impractical because of the prohibitive costs of obtaining certain components with factors set to prespecified values. A further difficulty is that often some of the factors that are believed to influence the product's performance are not features of a single component but are derived as functions of the dimensions of several components arising from the product's assembly. Experiments are proposed which use a sample of measured components to explore the influence of such derived factors. An algorithmic method for obtaining efficient designs is presented and applied to finding plans for studies on the gear pump. An experiment on the pump is described which involved both conventional and derived factors. This experiment led to new knowledge on how to improve the engineering design of the pump and, in particular, on how to improve its robustness to the varying pressures that are experienced in operation.
algorithm, components, factorial experiment, mechanical engineering, optimal design, quality improvement, robustness
0035-9254
155-170
Sexton, C.J.
d8e295f8-6491-4952-942c-835d0343bce7
Lewis, S.M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Please, C.P.
118dffe7-4b38-4787-a972-9feec535839e
Sexton, C.J.
d8e295f8-6491-4952-942c-835d0343bce7
Lewis, S.M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Please, C.P.
118dffe7-4b38-4787-a972-9feec535839e

Sexton, C.J., Lewis, S.M. and Please, C.P. (2001) Experiments for derived factors with application to hydraulic gear pumps. Journal of the Royal Statistical Society: Series C (Applied Statistics), 50 (2), 155-170. (doi:10.1111/1467-9876.00226).

Record type: Article

Abstract

For experiments on mechanical products composed of several components, such as a hydraulic gear pump, conventional methods of designing and implementing factorial experiments can be impractical because of the prohibitive costs of obtaining certain components with factors set to prespecified values. A further difficulty is that often some of the factors that are believed to influence the product's performance are not features of a single component but are derived as functions of the dimensions of several components arising from the product's assembly. Experiments are proposed which use a sample of measured components to explore the influence of such derived factors. An algorithmic method for obtaining efficient designs is presented and applied to finding plans for studies on the gear pump. An experiment on the pump is described which involved both conventional and derived factors. This experiment led to new knowledge on how to improve the engineering design of the pump and, in particular, on how to improve its robustness to the varying pressures that are experienced in operation.

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More information

Published date: 2001
Keywords: algorithm, components, factorial experiment, mechanical engineering, optimal design, quality improvement, robustness
Organisations: Statistics, Applied Mathematics

Identifiers

Local EPrints ID: 29253
URI: http://eprints.soton.ac.uk/id/eprint/29253
ISSN: 0035-9254
PURE UUID: d1abeec5-cce3-4ede-a6d7-d4d32c2e16bd

Catalogue record

Date deposited: 12 May 2006
Last modified: 15 Mar 2024 07:30

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Contributors

Author: C.J. Sexton
Author: S.M. Lewis
Author: C.P. Please

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