Optimisation study of a vehicle bumper subsystem with fuzzy parameters

Farkas, Laszlo; Moens, David; Donders, Stijn; Vandepitte, Dirk

doi:10.1016/j.ymssp.2011.11.014

Cited by 26 publications

(12 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, the most interesting variants cover the following topics: Transmission control including gear shifting algorithms and clutch control [122], Systems for diagnosing different vehicle systems and elements [123][124][125], Methods for the assessment of passive safety [126,127], Thermal and NVH comfort control systems [128,129], Vehicle body design [130], etc. Figure 6 shows the statistics of relevant journal publications.…”

Section: Fuzzy Methods For Miscellaneous Applicationsmentioning

confidence: 99%

A review of fuzzy methods in automotive engineering applications

Ivanov

2015

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

Purpose The paper addresses evolution of fuzzy systems for core applications of automotive engineering. Methods The presented study is based on the analysis of bibliography dedicated to fuzzy sets and fuzzy control for ground vehicles. A special attention is given to fuzzy approaches used in the following domains of automotive engineering: vehicle dynamics control systems, driver and driving environment identification, ride comfort control, and energy management of electric vehicles. Results The bibliographical analysis, supplemented with statistics of relevant research publications, has allowed to allocate the most important fuzzy application cases for each domain. In particular, it concerns driver identification, humanmachine interface, recognition of road conditions, and controllers of vehicle chassis and powertrain systems. It is found out that fuzzy methods have the primary use most of all for tasks requiring identification and forecasting procedures, especially in conditions of limited informational space. Additional observation that can be also derived from the presented survey points to reasonable integration of fuzzy technique with other control engineering methods to improve the performance of automotive control systems. Conclusions In the aggregate the performed review indicates that fuzzy computing can be considered as a versatile tool for automotive engineering applications of different nature.

show abstract

Section: Fuzzy Methods For Miscellaneous Applicationsmentioning

confidence: 99%

A review of fuzzy methods in automotive engineering applications

Ivanov

2015

Eur. Transp. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…Models can be prepared in commercial CAD software and converted into LS-DYNA, and the process of optimization can then be controlled by the LS OPT tool implemented in LS-DYNA [21,22].…”

Section: Optimization Process Testmentioning

confidence: 99%

Modeling and optimization of resonance characteristics of complex machinery system under dynamic load

et al. 2014

View full text Add to dashboard Cite

The paper deals with the optimization of the dynamic characteristics of a complex machinery system. The algorithms for optimization of the dynamic features have been elaborated and applied for a selection of design variables with the aim of minimizing the vibration amplitudes and optimizing the resonance characteristics of the system. A CAD model of the cutting boom of a continuous miner machine has been selected as an example and was adopted in the LS-PrePost command file. This machine has been selected because it is exposed to complex dynamic forces that cause vibrations and shocks. The paper shows the methodology for the optimization of the modal parameters of the complex mechanical system by using the finite elements method. A new objective function was applied and designed for maximization of the differences between eigenfrequencies and excitation peak force frequencies with respect to the total mass of the system. The genetic algorithm method was used to search for the optimal solution. The influence of parameters on the mass and eigenfrequencies is presented as a result of the sensitivity analysis. During the optimization process, a geometrical parameterized model was applied in order to optimize the system. The results of the modal analysis are part of a complex dynamic simulation of the cutter boom which integrates transmission, drives, and cutting head.

show abstract

“…Again the design space is smaller than desirable. Finally, Farkas et al [12] employed nine shape parameters of a bumper cross-section also with limitations to avoid overlapping.…”

Section: Cross-section Optimisationsmentioning

confidence: 99%

Geometrical compatibility in structural shape optimisation for crashworthiness

Rayamajhi¹,

Hunkeler²,

Duddeck³

2013

International Journal of Crashworthiness

View full text Add to dashboard Cite

This paper presents a parametric shape optimisation approach using special parameterisation techniques for shape optimisation of structures with respect to crashworthiness. It is based on SFE CONCEPT which has the ability to modify shape using implicit parameterisation technique and adapt mesh to the new geometry through re-meshing. The success of shape optimisation depends on the type of parameterisation used. It is, therefore, important to choose a set of shape parameters which allow for larger range of shape configurations. However, the difficulty to deal with shape modifications grows with the increasing number of shape variables due to the arising geometrical conflicts. Hence, most shape optimisation studies use limited number of shape variables and also reduced parameter bounds which restrict large shape configurations. Here a new offset mapping technique is used to facilitate the definition of shape parameter conflicts without compromising the design space. To demonstrate this technique, a bumper beam shape optimisation is presented.

show abstract

Optimisation study of a vehicle bumper subsystem with fuzzy parameters

Cited by 26 publications

References 6 publications

A review of fuzzy methods in automotive engineering applications

A review of fuzzy methods in automotive engineering applications

Modeling and optimization of resonance characteristics of complex machinery system under dynamic load

Geometrical compatibility in structural shape optimisation for crashworthiness

Contact Info

Product

Resources

About