本文關(guān)鍵詞：扭矩激勵(lì)下轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損試驗(yàn)研究　出處：《太原理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 扭矩激勵(lì) 滑動(dòng)軸承 磨損機(jī)理 磨粒濃度預(yù)測(cè) 磨損壽命

【摘要】：燃?xì)廨啓C(jī)、風(fēng)機(jī)、壓縮機(jī)等大型旋轉(zhuǎn)機(jī)械設(shè)備是機(jī)械、電力、石油化工等行業(yè)的關(guān)鍵設(shè)備。隨著大型旋轉(zhuǎn)機(jī)械設(shè)備的結(jié)構(gòu)日益細(xì)長(zhǎng)化和復(fù)雜化,轉(zhuǎn)子系統(tǒng)軸系極易受到較大的扭矩?cái)_動(dòng)影響。在扭矩激勵(lì)作用下,轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損狀況將發(fā)生明顯的變化,從而影響轉(zhuǎn)子系統(tǒng)的穩(wěn)定性。因此,進(jìn)行扭矩激勵(lì)下轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損試驗(yàn)研究可以實(shí)現(xiàn)對(duì)轉(zhuǎn)子系統(tǒng)的有效監(jiān)測(cè),保證轉(zhuǎn)子系統(tǒng)安全運(yùn)輸。在自主搭建的單跨-雙圓盤(pán)轉(zhuǎn)子試驗(yàn)臺(tái)上進(jìn)行扭矩激勵(lì)下轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損試驗(yàn),本課題做了以下幾方面研究:(1)考慮非線性油膜力以及彈性支承對(duì)轉(zhuǎn)子系統(tǒng)的影響,研究了不同扭矩激勵(lì)下滑動(dòng)軸承支承處載荷的變化規(guī)律,仿真分析了不同扭矩激勵(lì)下轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承摩擦副的油膜壓力和油膜厚度的變化情況,從而得到了不同扭矩激勵(lì)下轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承潤(rùn)滑狀態(tài)。在轉(zhuǎn)子試驗(yàn)臺(tái)上進(jìn)行不同扭矩激勵(lì)試驗(yàn),采集轉(zhuǎn)子試驗(yàn)的油樣,運(yùn)用鐵譜技術(shù)進(jìn)行油樣分析,找出扭矩激勵(lì)下滑動(dòng)軸承磨損磨粒的典型特征。通過(guò)試驗(yàn)總結(jié)出不同扭矩激勵(lì)下轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨粒的特點(diǎn),研究扭矩激勵(lì)條件下轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損機(jī)理。(2)根據(jù)扭矩激勵(lì)下轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損磨粒濃度隨時(shí)間的變化規(guī)律,選取最小二乘支持向量機(jī)回歸預(yù)測(cè)、灰色預(yù)測(cè)及指數(shù)平滑法預(yù)測(cè)滑動(dòng)軸承磨損磨粒濃度變化規(guī)律,采用一種基于IOWGA算子的組合預(yù)測(cè)方法,建立了預(yù)測(cè)轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損磨粒濃度的組合預(yù)測(cè)模型及其評(píng)價(jià)指標(biāo)體系。實(shí)例結(jié)果表明,基于IOWGA算子的組合預(yù)測(cè)模型的預(yù)測(cè)精度及預(yù)測(cè)效果明顯優(yōu)于其他三種單項(xiàng)預(yù)測(cè)法,有效地彌補(bǔ)了單項(xiàng)預(yù)測(cè)模型的不足,是預(yù)測(cè)潤(rùn)滑油中磨粒濃度的一種有效的預(yù)測(cè)方法。(3)系統(tǒng)分析轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損及壽命的影響因素,研究扭矩激勵(lì)及轉(zhuǎn)速對(duì)轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損壽命的影響。在轉(zhuǎn)子試驗(yàn)臺(tái)上進(jìn)行試驗(yàn),測(cè)得轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承在不同轉(zhuǎn)速不同定常扭矩工況下的磨損量。在經(jīng)典Archard磨損模型的基礎(chǔ)上,提出改進(jìn)Archard磨損模型,測(cè)算出滑動(dòng)軸承磨損率與扭矩激勵(lì)及轉(zhuǎn)速的關(guān)系,建立轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承磨損壽命預(yù)測(cè)模型,為轉(zhuǎn)子系統(tǒng)滑動(dòng)軸承維修與更換提供了參考依據(jù)。
[Abstract]:Large rotating machinery, such as gas turbine, fan and compressor, is the key equipment in machinery, electric power, petrochemical and other industries. As the structure of large rotating machinery is becoming more and more elongated and complicated, the rotor system shaft system is easily affected by large torque disturbance. Under the torque excitation, the wear status of the sliding bearing of the rotor system will change obviously, thus affecting the stability of the rotor system. Therefore, the test of rotor system sliding bearing wear test under torque excitation can effectively monitor the rotor system and ensure the safe transportation of the rotor system. In the single span self built double disc rotor test-bed torque excitation rotor system of sliding bearing wear test, this paper studied the following aspects: (1) considering the effect of nonlinear oil film force and the elastic support of the rotor system, were studied under different excitation torque sliding bearing load at the simulation, analysis of changes of side pressure and film thickness under different excitation torque rotor system of sliding bearing friction, thus obtained the sliding bearing lubrication state of the rotor system under different torque excitation. Different torque excitation tests were carried out on rotor test rig, oil samples from rotor tests were collected, and oil samples were analyzed by ferrography, and typical characteristics of wear particles of sliding bearings under torque excitation were found out. Through the experiment, the characteristics of the sliding bearing particles of the rotor system under different torque excitation are summarized, and the wear mechanism of the sliding bearing of the rotor system under the torque excitation is studied. (2) according to the torque under the excitation of rotor system of sliding bearing wear particle concentration changes with time, select the least squares support vector machine regression prediction, gray prediction and exponential smoothing prediction of sliding bearing wear particle concentration variation, using a combination forecasting method based on IOWGA operator, was established to predict the wear of sliding bearing rotor system wear particle concentration forecasting model and its evaluation index system. The example shows that the prediction accuracy and prediction effect of the combination forecasting model based on IOWGA operator is better than the other three single prediction methods, which effectively compensate for the shortage of the single prediction model and is an effective prediction method for predicting the wear particle concentration in the lubricating oil. (3) the influence factors of the wear and life of the sliding bearing of the rotor system are analyzed systematically, and the influence of torque excitation and speed on the wear life of the sliding bearing of the rotor system is studied. On the rotor test bench, the wear amount of the rotor system sliding bearing at different rotational speed and constant torque was measured. Based on the classical Archard wear model, improving the Archard wear model, calculate the sliding bearing wear rates and torque excitation and speed, the establishment of a rotor system of sliding bearing wear life prediction model for rotor system of sliding bearing maintenance and replacement to provide reference for.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TH133.31

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