Optimization design of a disc brake system with hybrid uncertainties

Lü, Hui; Yu, Dejie

doi:10.1016/j.advengsoft.2016.04.009

Cited by 42 publications

(14 citation statements)

References 38 publications

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“…Results are presented in Figure 11 for both configurations. 22 has an effect on eigenvalues with the two lower pulsations but not on the others. This sensitivity towards the 22 parameter is well modeled by the used kriging metamodel as well as the stability behavior.…”

Section: 23mentioning

confidence: 88%

“…The proposed surrogate model consists of using basis functions (defined by monomials in the uncertain parameters) to express the system eigenvalues. The same surrogate model is proposed in [22] for the optimization design of brake system under interval and random uncertainties. Another approach consists of constructing surrogate models based on the perturbation principle [23].…”

Section: Introductionmentioning

confidence: 99%

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Kriging Surrogate Models for Predicting the Complex Eigenvalues of Mechanical Systems Subjected to Friction-Induced Vibration

Denimal

Nechak

Sinou

et al. 2016

Shock and Vibration

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This study focuses on the kriging based metamodeling for the prediction of parameter-dependent mode coupling instabilities. The high cost of the currently used parameter-dependent Complex Eigenvalue Analysis (CEA) has induced a growing need for alternative methods. Hence, this study investigates capabilities of kriging metamodels to be a suitable alternative. For this aim, kriging metamodels are proposed to predict the stability behavior of a four-degree-of-freedom mechanical system submitted to friction-induced vibrations. This system is considered under two configurations defining two stability behaviors with coalescence patterns of different complexities. Efficiency of kriging is then assessed on both configurations. In this framework, the proposed kriging surrogate approach includes a mode tracking method based on the Modal Assurance Criterion (MAC) in order to follow the physical modes of the mechanical system. Based on the numerical simulations, it is demonstrated by a comparison with the reference parameter-dependent CEA that the proposed kriging surrogate model can provide efficient and reliable predictions of mode coupling instabilities with different complex patterns.

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Section: 23mentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Kriging Surrogate Models for Predicting the Complex Eigenvalues of Mechanical Systems Subjected to Friction-Induced Vibration

Denimal

Nechak

Sinou

et al. 2016

Shock and Vibration

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“…In the inner loop, to estimate the LBs and UBs of the functions with respect to hybrid uncertainty variables, the MCS method has been proposed to conduct the calculations in our previous work. 6…”

Section: The Optimization For Brake Instability Reduction With Fuzzy-mentioning

confidence: 99%

“…Over the past few decades, the issues of uncertainty analysis and optimization have attracted more and more attention in scientific fields, such as the fields of material science, 2 structural mechanics, 3,4 and automotive engineering. 5–7…”

Section: Introductionmentioning

confidence: 99%

An optimization method for brake instability reduction with fuzzy-boundary interval variables

Lü

Feng

Cai

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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In some special engineering circumstances, it is likely that all parameters of an uncertain automotive structure can only be treated as interval variables due to limited knowledge, but meanwhile their lower and upper bounds can just be modeled as fuzzy variables rather than as deterministic values due to ambiguous information. To handle this dual uncertainties case, a reliability-based optimization method with fuzzy-boundary interval variables is developed in this study, and it is further extended to carry out squeal instability analysis and reduction of brake involving both limited and vague information. In the proposed method, fuzzy-boundary interval variables are utilized to cope with the above dual uncertainties of structure parameters and help to build up the structure response analysis model. First, the structure responses are derived on the basis of α-cut strategy, Taylor series expansion, subinterval analysis, and central difference method. Then, with the aid of fuzzy possibility theory, a reliability analysis model of structure response is developed, which can make use of extra reliability information and thus quantify the reliability more accurately. Next, a reliability-based optimization model involving fuzzy-boundary interval variables is established by integrating the uncertain response analysis model and the reliability analysis model. Finally, the proposed method is extended to carry out automotive brake squeal instability analysis and optimization. The numerical investigations demonstrate the applicability and effectiveness of the proposed method.

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“…Pengembangan sistem rem lain, diantaranya optimasi pengurangan beban pada sistem rem cakram kendaraan hybrid [10] dan perlakuan material komponen penyusun sistem rem, dengan penerapan teknologi tingkat tinggi [11]. Baru-baru ini, teknologi brake system tidak hanya mengendalikan laju kendaraan tetapi juga dapat mengendalikan konsumsi bahan bakar [12], [13].…”

Section: Pendahuluanunclassified