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Semi-controlled experiment plans for improved mechanical engineering designs

Semi-controlled experiment plans for improved mechanical engineering designs
Semi-controlled experiment plans for improved mechanical engineering designs
The use of planned experiments to improve designs is considered for situations where standard plans, such as orthogonal arrays or response surface plans, are impractical. An approach is described that is of special interest to the design of mechanical products where it is expensive to make prototype components to specified dimensions, and only a given small sample of components of differing dimensions is available.
The plan for the experiment must then make the best use of the available components by determining an assembly that will most efficiently explore the expected design parameter region where the design parameters may be derived from the component dimensions. In contrast to conventional methods, the resulting experiment is semi-controlled, rather than fully controlled, as the component dimensions cannot be chosen but the assembly can. An algorithm for finding such plans is described and an example of its implementation in improving the design of an hydraulic pump is presented. T
he method extends to studies involving some components whose dimensions cannot be designated and hence are obtained from a small sample, and other components that are easily and cheaply constructed to prescribed dimensions. This results in a combination of semi-controlled and fully controlled factors. Efficient plans for such experiments are described and results from their application in practice are discussed.
design, factorial, experiments, hydraulic, pump, quality, improvement
2041-2975
95-105
Sexton, C.J.
d8e295f8-6491-4952-942c-835d0343bce7
Dunsmore, W.
de8d29fd-77dd-495d-84a4-bb5c98df7875
Lewis, S.M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Please, C.P.
118dffe7-4b38-4787-a972-9feec535839e
Pitts, G.
170a1906-4e89-439e-add0-544ff091b550
Sexton, C.J.
d8e295f8-6491-4952-942c-835d0343bce7
Dunsmore, W.
de8d29fd-77dd-495d-84a4-bb5c98df7875
Lewis, S.M.
a69a3245-8c19-41c6-bf46-0b3b02d83cb8
Please, C.P.
118dffe7-4b38-4787-a972-9feec535839e
Pitts, G.
170a1906-4e89-439e-add0-544ff091b550

Sexton, C.J., Dunsmore, W., Lewis, S.M., Please, C.P. and Pitts, G. (2000) Semi-controlled experiment plans for improved mechanical engineering designs. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 214 (2), 95-105.

Record type: Article

Abstract

The use of planned experiments to improve designs is considered for situations where standard plans, such as orthogonal arrays or response surface plans, are impractical. An approach is described that is of special interest to the design of mechanical products where it is expensive to make prototype components to specified dimensions, and only a given small sample of components of differing dimensions is available.
The plan for the experiment must then make the best use of the available components by determining an assembly that will most efficiently explore the expected design parameter region where the design parameters may be derived from the component dimensions. In contrast to conventional methods, the resulting experiment is semi-controlled, rather than fully controlled, as the component dimensions cannot be chosen but the assembly can. An algorithm for finding such plans is described and an example of its implementation in improving the design of an hydraulic pump is presented. T
he method extends to studies involving some components whose dimensions cannot be designated and hence are obtained from a small sample, and other components that are easily and cheaply constructed to prescribed dimensions. This results in a combination of semi-controlled and fully controlled factors. Efficient plans for such experiments are described and results from their application in practice are discussed.

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More information

Published date: 2000
Keywords: design, factorial, experiments, hydraulic, pump, quality, improvement
Organisations: Statistics

Identifiers

Local EPrints ID: 29247
URI: http://eprints.soton.ac.uk/id/eprint/29247
ISSN: 2041-2975
PURE UUID: 848e4aa9-5843-4ecb-8580-12651e2a0b51

Catalogue record

Date deposited: 12 May 2006
Last modified: 08 Jan 2022 15:52

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Contributors

Author: C.J. Sexton
Author: W. Dunsmore
Author: S.M. Lewis
Author: C.P. Please
Author: G. Pitts

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