Optimization of Modelica Models Utilizing Design of Experiments and Robust Design Methods

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dc.contributor.authorBröyn, Stefan
dc.contributor.departmentChalmers tekniska högskola / Institutionen för tillämpad mekaniksv
dc.contributor.departmentChalmers University of Technology / Department of Applied Mechanicsen
dc.date.accessioned2019-07-03T13:20:58Z
dc.date.available2019-07-03T13:20:58Z
dc.date.issued2014
dc.description.abstractThis thesis describes the implementation of Robust Design and Design of Experiments methodologies with the FMI Microsoft Excel Add-in (FMIE). FMIE allows engineers to use Microsoft Excel in collaboration with simulation models created in other software and exported as FMUs. A choice of pre- and post processing methods are implemented as Excel macros for use with the FMIE. Their functionality are demonstrated with a non trivial parameter optimization of a truck model created with Dymola. The development of the truck model and integral parameters are explained within this thesis. The Excel macros are used to find a design point that is sufficiently good in aspect to two response factors. The stability of this design point with aspect to a noise factor and small variance of the design factors is determined.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/193529
dc.language.isoeng
dc.relation.ispartofseriesDiploma work - Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden : 2014:04
dc.setspec.uppsokTechnology
dc.subjectFarkostteknik
dc.subjectTransport
dc.subjectVehicle Engineering
dc.subjectTransport
dc.titleOptimization of Modelica Models Utilizing Design of Experiments and Robust Design Methods
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeApplied mechanics (MPAME), MSc
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