本文選題：穩(wěn)定性 + Kriging代理模型��； 參考：《湖南大學(xué)》2016年碩士論文

【摘要】：隨著汽車產(chǎn)業(yè)的蓬勃發(fā)展和城市中汽車保有量的增多,汽車制動(dòng)噪聲問題對人們生活的影響日益嚴(yán)重,解決汽車制動(dòng)噪聲問題已經(jīng)迫在眉睫。盤式制動(dòng)器系統(tǒng)的穩(wěn)定性分析及優(yōu)化設(shè)計(jì)是解決制動(dòng)噪聲最直接有效的途徑。然而,由于制造誤差和磨損等一系列不確定性因素不可避免的存在于盤式制動(dòng)器系統(tǒng)中,使得傳統(tǒng)的確定性分析及優(yōu)化結(jié)果喪失有效性。因此,為了實(shí)現(xiàn)對制動(dòng)噪聲的有效控制,需要研究含不確定參數(shù)盤式制動(dòng)器系統(tǒng)的分析與優(yōu)化方法。本文在湖南大學(xué)汽車車身先進(jìn)設(shè)計(jì)制造國家重點(diǎn)實(shí)驗(yàn)室自主課題(71375004)和湖南省研究生科研創(chuàng)新項(xiàng)目(CX2013B143)的資助下,建立了盤式制動(dòng)器系統(tǒng)的區(qū)間-概率混合不確定模型,并在此基礎(chǔ)上開展了盤式制動(dòng)器系統(tǒng)的穩(wěn)定性分析及穩(wěn)健性優(yōu)化設(shè)計(jì)研究。論文的主要研究內(nèi)容如下:(1)盤式制動(dòng)器系統(tǒng)復(fù)特征值分析以模態(tài)耦合理論為理論基礎(chǔ),對某盤式制動(dòng)器系統(tǒng)進(jìn)行了復(fù)特征值分析。分析了摩擦系數(shù)、制動(dòng)壓力、磨損等因素對盤式制動(dòng)器系統(tǒng)穩(wěn)定性的影響,對盤式制動(dòng)器系統(tǒng)的分析及優(yōu)化具有指導(dǎo)意義。(2)區(qū)間-概率混合不確定盤式制動(dòng)器系統(tǒng)的建模為充分考慮工程實(shí)際中的不確定性,從而得到更可靠的優(yōu)化結(jié)果,建立了某盤式制動(dòng)器系統(tǒng)的區(qū)間-概率混合不確定模型。在該模型中,考慮由于制造誤差引起盤式制動(dòng)器系統(tǒng)材料屬性、摩擦系數(shù)、載荷等參數(shù)的不確定性,選取支撐背板的密度、彈性模量、厚度,摩擦片的密度、彈性模量,制動(dòng)盤的密度、彈性模量,制動(dòng)壓力8個(gè)參數(shù)作為概率參數(shù)。考慮由于制造誤差和使用過程中的磨損引起的不確定性,選取摩擦片的厚度、制動(dòng)盤的厚度、摩擦系數(shù)這3個(gè)參數(shù)作為區(qū)間-概率參數(shù)。(3)不確定盤式制動(dòng)器系統(tǒng)穩(wěn)定性分析首先采用拉丁超立方試驗(yàn)方法在設(shè)計(jì)空間內(nèi)進(jìn)行抽樣,然后代入盤式制動(dòng)器系統(tǒng)有限元模型計(jì)算獲得120組樣本點(diǎn),再采用Kriging方法建立盤式制動(dòng)器系統(tǒng)不穩(wěn)定系數(shù)的代理模型,并采用復(fù)相關(guān)系數(shù)法檢驗(yàn)?zāi)Ｐ偷木?發(fā)現(xiàn)該Kriging代理模型具有較高的擬合精度,可作為盤式制動(dòng)器分析及優(yōu)化的有效工具;最后為了分析系統(tǒng)參數(shù)對不確定盤式制動(dòng)器穩(wěn)定性的影響,采用蒙特卡洛方法分別對概率不確定盤式制動(dòng)器系統(tǒng)和區(qū)間-概率混合不確定盤式制動(dòng)器系統(tǒng)進(jìn)行了穩(wěn)定性分析,得出了支撐背板密度、制動(dòng)盤密度、制動(dòng)盤彈性模量、摩擦系數(shù)等參數(shù)對不確定盤式制動(dòng)器系統(tǒng)穩(wěn)定性的影響規(guī)律。(4)區(qū)間-概率混合不確定盤式制動(dòng)器系統(tǒng)6σ穩(wěn)健性優(yōu)化設(shè)計(jì)以盤式制動(dòng)器系統(tǒng)為研究對象,在盤式制動(dòng)器系統(tǒng)的區(qū)間-概率混合不確定模型基礎(chǔ)上,以支撐背板的密度、彈性模量和厚度為設(shè)計(jì)變量,以盤式制動(dòng)器系統(tǒng)不穩(wěn)定系數(shù)的6σ穩(wěn)健性函數(shù)值最小為目標(biāo)進(jìn)行6σ穩(wěn)健優(yōu)化設(shè)計(jì)。對某盤式制動(dòng)器系統(tǒng)的穩(wěn)健優(yōu)化設(shè)計(jì)結(jié)果表明,該方法有效提高了盤式制動(dòng)器系統(tǒng)的穩(wěn)定性,抑制了制動(dòng)噪聲傾向,且降低了優(yōu)化結(jié)果對不確定參數(shù)擾動(dòng)的敏感程度,從而得到更為穩(wěn)健的優(yōu)化設(shè)計(jì)結(jié)果。為了抑制汽車盤式制動(dòng)器制動(dòng)過程中的噪聲,本文以某盤式制動(dòng)器系統(tǒng)為研究對象,基于不確定模型開展了盤式制動(dòng)器系統(tǒng)穩(wěn)定性分析、基于Kriging代理模型開展了區(qū)間-概率混合不確定性盤式制動(dòng)器系統(tǒng)的穩(wěn)健性優(yōu)化設(shè)計(jì)研究,本文研究工作對提高盤式制動(dòng)器系統(tǒng)穩(wěn)定性和優(yōu)化設(shè)計(jì)結(jié)果穩(wěn)健性具有一定應(yīng)用價(jià)值。
[Abstract]:With the rapid development of the automobile industry and the increase of the number of cars in the city, the influence of automobile braking noise on people's life is becoming more and more serious. It is imminent to solve the problem of automobile braking noise. The stability analysis and optimization design of the disc brake system are the most direct and effective ways to solve the brake noise. However, the manufacture of the brake noise is the most effective way. A series of uncertain factors, such as error and wear, inevitably exist in the disc brake system, which makes the traditional deterministic analysis and optimization results lose effectiveness. Therefore, in order to achieve effective control of the braking noise, the analysis and optimization method of the disc brake system with uncertain parameters is needed. This paper is in Hunan Under the support of the autonomous subject of the State Key Laboratory of automobile body advanced design and manufacture (71375004) and the research and innovation project of Hunan graduate student (CX2013B143), the interval probability mixed uncertainty model of disc brake system is established. On this basis, the stability analysis and robustness optimization design of the disc brake system are carried out. The main contents of this paper are as follows: (1) the complex eigenvalue analysis of disc brake system is based on modal coupling theory, and the complex eigenvalue analysis of a disc brake system is carried out. The influence of friction coefficient, brake pressure, wear and other factors on the stability of disc brake system is analyzed, and the component of disc brake system is divided. The analysis and optimization are of guiding significance. (2) the modeling of the interval probability mixed undetermined disc brake system is to take full account of the uncertainty in the engineering practice, so as to obtain more reliable optimization results and establish an interval probability mixed uncertainty model for a disc brake system. In this model, considering the manufacturing error caused by the disc type. The uncertainty of the material properties, friction coefficient, load and other parameters of the brake system, the density, modulus of elasticity, thickness, density, modulus of elasticity, brake disc density, modulus of elasticity, brake pressure, 8 parameters are selected as probability parameters, considering the uncertainty caused by the manufacturing error and the wear in the use process. The thickness of the friction disc, the thickness of the brake disc, the friction coefficient are 3 parameters as the interval probability parameters. (3) the stability analysis of the uncertain disk brake system is firstly sampled in the design space by the Latin hypercube test method, and then 120 sets of sample points are obtained from the finite element model of the disc brake system, and then the K is used. The riging method establishes the agent model of the instability coefficient of disc brake system, and uses the complex correlation coefficient method to test the accuracy of the model. It is found that the Kriging agent model has high fitting precision and can be used as an effective tool for analysis and optimization of disc brake. Finally, the stability of disk brake is determined by analyzing the system parameters. The stability analysis of the probability uncertainty disc brake system and the interval probability mixed undetermined disc brake system was analyzed by Monte Carlo method, and the influence rules of the support back plate density, the brake disc density, the brake disc elastic modulus and the friction coefficient on the instability of the disk brake system were obtained. 4) the 6 Sigma robustness optimization design of the interval probability mixed uncertain disk brake system takes the disc brake system as the research object. On the basis of the interval probability mixed uncertainty model of the disc brake system, the density, the modulus of elasticity and the thickness of the supporting back plate are designed as the design variables, and the 6 sigma of the instability coefficient of the disc brake system is robust. The 6 Sigma robust optimization design is carried out for the minimum objective function value. The result of robust optimization design for a disc brake system shows that the method effectively improves the stability of the disc brake system, restraining the braking noise tendency, and reducing the sensitivity of the optimization results to the uncertain parameter disturbance, thus getting a more robust optimization. Design results. In order to suppress the noise during the braking process of the automobile disc brake, this paper takes a disc brake system as the research object. Based on the uncertainty model, the stability analysis of the disc brake system is carried out. Based on the Kriging agent model, the robustness optimization design of the interval probability mixed uncertainty disc brake system is carried out. The research work has certain application value to improve the stability of disc brake system and the robustness of optimal design results.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：U463.512

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