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dc.contributor.authorvon Wysocki, Timo
dc.date.accessioned2026-03-02T18:06:28Z
dc.date.available2026-03-02T18:06:28Z
dc.date.issued2025
dc.identifier.issn1869-6058 (Online)
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/111040
dc.description.abstractWith growing electrification and comfort in cars, road noise reduction is increasingly important. This study explores influencing road noise via suspension kinematics optimization in early development. 500 kinematics variations are modeled with ANNs for fast numerical and qualitative optimization. Simulations resolve NVH conflicts and guide metamodel-based cavity noise tuning. Hardware validation confirms an effective, cost- and weight-neutral NVH improvement.
dc.languageEnglish
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
dc.subject.otherAchskinematik
dc.subject.otherMachine Learning
dc.subject.otherMetamodelle
dc.subject.otherMetamodels
dc.subject.otherNVH
dc.subject.otherRoad Noise
dc.subject.otherSuspension Kinematics
dc.subject.otherRollgeräusch
dc.titleReduction of Selected Road Noise Phenomena by Modifying Suspension Kinematics Using Metamodels in the Digital Vehicle Development Phase
dc.typebook
oapen.identifier.doi10.5445/KSP/1000183188
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9
oapen.relation.isbn9783731514473
oapen.imprintKIT Scientific Publishing
oapen.series.number133
oapen.pages262
oapen.place.publicationKarlsruhe, Germany


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