Application of mesh morphing technology in the concept phase of vehicle development

Auweraer, Herman Van der; Langenhove, Tom Van; Brughmans, M.; Bosmans, Ivan; Masri, Naji El; Donders, Stijn

doi:10.1504/ijvd.2007.012308

Cited by 21 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The parametric model technique has been applied to rapidly modify parameterized finite element models in optimization fields, 34–37 according to mesh morphing technology. A parametric model is generally obtained by transforming a node location and without removing relational elements, while the model property and boundary conditions remain stable.…”

Section: Methodsmentioning

confidence: 99%

Multi-objective lightweight design of the container S-beam based on MNSGA-II with grey relational analysis

Wang

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

A novel bottom corrugated cross-beam (S-beam) structure improved the dynamic and static performance of a container based on the combination of a modified non-dominated sorting genetic algorithm (MNSGA-II) and grey relational analysis. First, a parametric model was established and used to verify the structure’s validity through static physical testing. Eight design variables for the S-beam container structure were also defined according to the parametric model technology. Second, MNSGA-II was used for the multi-objective lightweight optimization design of an S-beam container to obtain the optimal combination of design parameters that are considerably affected by weight reduction under peak bending stress and peak loading deflection as well as first-order natural frequency variations within the allowable range. A set of non-dominated solutions was used to obtain a multi-objective optimization design. Finally, grey relational analysis and grey entropy theory are applied to rank all solutions and determine the best compromise solution. The comparison of the technique for the order of preference by similarity to ideal solution method with grey relational analysis demonstrates the extraordinary reliability and superiority of the latter. In addition, the combined method can achieve a weight reduction of up to 23.54%, which can enhance the utilization of materials and demonstrates the superiority of the combined method relative to the initial model.

show abstract

Section: Methodsmentioning

confidence: 99%

Multi-objective lightweight design of the container S-beam based on MNSGA-II with grey relational analysis

Wang

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

show abstract

“…The mesh morphing technology realizes the node movement of finite element model through the mathematical form of matrix representation or the geometric form defined by the target shape. It can quickly change the size and shape of the mesh model, and greatly reduce the processing time of CAE model in structural lightweight design [19].…”

Section: Mesh Morphing Technologymentioning

confidence: 99%

Multi-Objective Lightweight Optimization of Parameterized Suspension Components Based on NSGA-II Algorithm Coupling with Surrogate Model

et al. 2021

View full text Add to dashboard Cite

In order to reduce the negative effect of lightweighting of suspension components on vehicle dynamic performance, the control arm and torsion beam widely used in front and rear suspensions were taken as research objects for studying the lightweight design method of suspension components. Mesh morphing technology was employed to define design variables. Meanwhile, the rigid–flexible coupling vehicle model with flexible control arm and torsion beam was built for vehicle dynamic simulations. The total weight of control arm and torsion beam was taken as optimization objective, as well as ride comfort and handling stability performance indexes. In addition, the fatigue life, stiffness, and modal frequency of control arm and torsion beam were taken as the constraints. Then, Kriging model and NSGA-II were adopted to perform the multi-objective optimization of control arm and torsion beam for determining the lightweight scheme. By comparing the optimized and original design, it indicates that the weight of the optimized control arm and torsion beam are reduced 0.505 kg and 1.189 kg, respectively, while structural performance and vehicle performance satisfy the design requirement. The proposed multi-objective optimization method achieves a remarkable mass reduction, and proves to be feasible and effective for lightweight design of suspension components.

show abstract

“…In the early design phase, NVH optimization relies on simulation, as no hardware is available yet [5]. Nowadays, evaluations are based on three different simulation model origins: CAD models of recent generations, predecessor FE models or new simulation models from scratch [3] (p. 2), [6] (p. 1653), [7] (p. 4180). The first method requires a parametric CAD model to allow fast modifications [4] (p. 27).…”

Section: Nvh Optimization In the Digital Design Phasementioning

confidence: 99%

“…However, each design change still has to be meshed in order to receive a new FE model [8] (p. 170). This slows down the development process [3]. The second method, using old FE models, requires a method to alter the existing FE model to resemble the new concept under consideration.…”

Section: Nvh Optimization In the Digital Design Phasementioning

confidence: 99%

“…The used FE models originate from meshing CAD geometry with often manual interference. Thus, each design iteration can necessitate time-consuming remeshing and rebuilding the FE model, which slows down concept evaluation [3]. One approach to resolve these issues is the usage of morphing technologies, where the FE model of a predecessor or similar component is adapted to the new shape by morphing the FE geometry [3].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

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.

show abstract

Application of mesh morphing technology in the concept phase of vehicle development

Cited by 21 publications

References 0 publications

Multi-objective lightweight design of the container S-beam based on MNSGA-II with grey relational analysis

Multi-objective lightweight design of the container S-beam based on MNSGA-II with grey relational analysis

Multi-Objective Lightweight Optimization of Parameterized Suspension Components Based on NSGA-II Algorithm Coupling with Surrogate Model

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

Contact Info

Product

Resources

About