Small Changes in Vehicle Suspension Layouts Could Reduce Interior Road Noise

Wysocki, Timo von; Chahkar, Jason; Gauterin, Frank

doi:10.3390/vehicles2010002

Cited by 8 publications

(7 citation statements)

References 20 publications

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“…This shows the optimizer's capability to identify relevant design parameters. The presented result concurs to the hypothesis from an earlier publication [14]. Small changes to the location of few kinematic hard points can influence the noise transfer while others can be used for different development domains.…”

Section: Process Verificationsupporting

confidence: 91%

“…For each of the 500 parameter sets we automatically create an FE model of the knuckle. This is performed by morphing an initial component FE model using the free form morphing algorithm presented in earlier publications [14,27]. In one of them, we present an example of the FE mesh [27].…”

Section: Workflowmentioning

confidence: 99%

“…These are the connection points between the individual suspension components and determine the kinematic characteristic of the suspension. Earlier publications suggested kinematics modifications as an opportunity to improve interior road noise in the early development phase [12][13][14]. The presented methodology is a practical approach to identify kinematics modifications suitable for such noise reduction.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Generating Component Designs for an Improved NVH Performance by Using an Artificial Neural Network as an Optimization Metamodel

Wysocki

Rieger

Tsokaktsidis

et al. 2021

Designs

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In modern vehicle development, suspension components have to meet many boundary conditions. In noise, vibration, and harshness (NVH) development these are for example eigenfrequencies and frequency response function (FRF) amplitudes. Component geometry parameters, for example kinematic hard points, often affect multiple of these targets in a non intuitive way. In this article, we present a practical approach to find optimized parameters for a component design, which fulfills an FRF target curve. By morphing an initial component finite element model we create training data for an artificial neural network (ANN) which predicts FRFs from geometry parameter input. Then the ANN serves as a metamodel for an evolutionary algorithm optimizer which identifies fitting geometry parameter sets, meeting an FRF target curve. The methodology enables a component design which considers an FRF as a component target. In multiple simulation examples we demonstrate the capability of identifying component designs modifying specific eigenfrequency or amplitude features of the FRFs.

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Section: Process Verificationsupporting

confidence: 91%

Section: Workflowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Generating Component Designs for an Improved NVH Performance by Using an Artificial Neural Network as an Optimization Metamodel

Wysocki

Rieger

Tsokaktsidis

et al. 2021

Designs

Self Cite

View full text Add to dashboard Cite

show abstract

“…Morphing Algorithm Mesh Quality For the morphing step, we use the tool chain we proved working in an earlier publication [21] in a slightly modified version. Moreover, [10] suggest using linear morphing and hypothesize natural neighbor as a method, possibly resulting in better element quality by using control nodes in the natural neighborhood [10] (p. 297).…”

Section: Node Set Definitionmentioning

confidence: 99%

Metamodels Resulting from Two Different Geometry Morphing Approaches Are Suitable to Direct the Modification of Structure-Born Noise Transfer in the Digital Design Phase

Wysocki

Leupolz

Gauterin

2020

ASI

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Noise vibration and harshness (NVH) development often takes place in the later development phases. Shifting the optimization to the early digital development phase enables more parameters to participate in the optimization and leads to a more holistic development process. Digital NVH development often modifies system and component frequency response functions (FRFs) using finite element (FE) simulation. Currently, the often manual process of creating new FE models for modified designs makes a systematic evaluation of many designs difficult and time-consuming. In this paper, we take on these difficulties and use both a Direct Morphing approach and a Box Morphing approach to automatically adopt the first existing FE models to modified designs. We use the generated simulation results to fit metamodels describing the correlation between geometrical parameters and characteristic FRF values. These metamodels provide an easy and fast to use tool for designers to consider NVH demands. In a simulation example, we demonstrate the capabilities by modifying the kinematic hard points of a vehicle suspension and using them to modify the noise transfer sensitivity. We show that the metamodels can lead the digital design process to intuitively and specifically reduce characteristic component FRF values by changing the location of the component hard points.

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“…The improvement potential in the area of vehicle suspension needs to be quantified and specific application cases need to be simulated in detail. Such simulations should concentrate on simulation activities concerning vehicles suspensions, for instance, the works that have been carried out so far have been focused on analyzing noise and vibration [21]; these works are therefore more focused in the modification of structural dynamics.…”

Section: Introductionmentioning

confidence: 99%

Design, Dimensioning and Simulation of Inerters for the Reduction of Vehicle Wheel Vibrations—Case Studies

Borowski¹,

Stetter

Rudolph

2020

Vehicles

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For the last two decades, a novel mechanical system has received increasing attention—the inerter. An inerter is a system that can store mechanical energy for a rather short amount of time and behaves analogously to a capacitor in electrical engineering. Until today, only a few inerter applications have been reported. In a vehicle suspension, an inerter can be used to reduce wheel vibrations. This paper demonstrates the application potential of the novel mechanical system and describes the design and dimensioning of an inerter for the reduction of these kind of wheel vibrations for two completely different vehicle concepts. The first application concerns a Formula Student race car in which the main objective represents the maximization of the mechanical grip to improve lap times. For the inerter dimensioning in a racing car, lightweight design is a major issue. The second application is an agricultural tractor in which the focus is on the reduction of the ground pressure to protect the environment as well as on a very robust and compact realization of the inerter. A detailed simulation of both cases allows a qualitative and quantitative assessment of the wheel vibration reduction potential. In both applications, a considerable improvement potential could be identified which amounts, in the case of the race car, to a reduction of wheel oscillation of about 21% and for the tractor to a wheel vibration reduction potential of up to 54%.

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Small Changes in Vehicle Suspension Layouts Could Reduce Interior Road Noise

Cited by 8 publications

References 20 publications

Generating Component Designs for an Improved NVH Performance by Using an Artificial Neural Network as an Optimization Metamodel

Generating Component Designs for an Improved NVH Performance by Using an Artificial Neural Network as an Optimization Metamodel

Metamodels Resulting from Two Different Geometry Morphing Approaches Are Suitable to Direct the Modification of Structure-Born Noise Transfer in the Digital Design Phase

Design, Dimensioning and Simulation of Inerters for the Reduction of Vehicle Wheel Vibrations—Case Studies

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