Fixture Systems (FSs) have great importance in machining, welding, assembly, measuring, testing and other manufacturing processes. One of the most critical issue in FS design is the choice of both the type of fixing devices such as clamps, locators, and support points, (configuration), and their arrangement with respect to workpieces (layout). Several authors deal with the problem of determine the most suitable solution for FSs, often investigating their layout without considering the change of the type of locators. A computer aided design method is proposed to compare and evaluate different configurations for a FS, optimizing the locator type and analysing the roboustness of the solution. A multi-objective optimization based on a genetic algorithm is presented and the selection of the most suitable configuration is performed through the definition of robustness indexes. The effectiveness of the design method is demonstrated for an automotive case study.

Genetic algorithm optimization and robustness analysis for the computer aided design of fixture systems in automotive manufacturing / Ansaloni, Matteo; Bonazzi, Enrico; Gherardini, Francesco; Leali, Francesco. - (2016). ((Intervento presentato al convegno Joint Conference on Mechanical, Design Engineering & Advanced Manufacturing, tenutosi a Toulouse, France nel June 18th–20th, 2014.

Genetic algorithm optimization and robustness analysis for the computer aided design of fixture systems in automotive manufacturing

ANSALONI, Matteo;BONAZZI, ENRICO;GHERARDINI, Francesco;LEALI, Francesco
2016

Abstract

Fixture Systems (FSs) have great importance in machining, welding, assembly, measuring, testing and other manufacturing processes. One of the most critical issue in FS design is the choice of both the type of fixing devices such as clamps, locators, and support points, (configuration), and their arrangement with respect to workpieces (layout). Several authors deal with the problem of determine the most suitable solution for FSs, often investigating their layout without considering the change of the type of locators. A computer aided design method is proposed to compare and evaluate different configurations for a FS, optimizing the locator type and analysing the roboustness of the solution. A multi-objective optimization based on a genetic algorithm is presented and the selection of the most suitable configuration is performed through the definition of robustness indexes. The effectiveness of the design method is demonstrated for an automotive case study.
Joint Conference on Mechanical, Design Engineering & Advanced Manufacturing,
Toulouse, France
June 18th–20th, 2014
Ansaloni, Matteo; Bonazzi, Enrico; Gherardini, Francesco; Leali, Francesco
Genetic algorithm optimization and robustness analysis for the computer aided design of fixture systems in automotive manufacturing / Ansaloni, Matteo; Bonazzi, Enrico; Gherardini, Francesco; Leali, Francesco. - (2016). ((Intervento presentato al convegno Joint Conference on Mechanical, Design Engineering & Advanced Manufacturing, tenutosi a Toulouse, France nel June 18th–20th, 2014.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1118642
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