本文選題：浸油齒輪　切入點：異常磨損　出處：《南京理工大學》2017年碩士論文　論文類型：學位論文

【摘要】：隨著我國工業(yè)的不斷發(fā)展,齒輪傳動在工業(yè)生產(chǎn)中發(fā)揮的作用越來越大,提前預測出齒輪異常磨損顯得越來越重要。盡管國內齒輪磨損檢測方法多種多樣,但是用于預測齒輪異常磨損的并不多,且很少涉及到用齒輪磨損率檢測齒輪磨損狀態(tài)。本文利用上位機LabVIEW開發(fā)一種基于變化率形式檢測浸油齒輪磨損率的在線監(jiān)測系統(tǒng),該系統(tǒng)能夠實時連續(xù)的采集齒輪箱油液中鐵磁性顆粒尺寸大小和油液品質數(shù),通過上、下位機工作模式,實現(xiàn)了齒輪磨損的實時監(jiān)測和提前預測,且系統(tǒng)結合了總值方式監(jiān)測齒輪磨損狀況的優(yōu)點,增強了判別齒輪異常磨損的準確性以及判別效率。首先,為提高油液磨粒的檢測范圍,設計了一款新結構的磨粒傳感器,并提供設計理論。通過對比仿真驗證,證實了設計磨粒傳感器確實能提高磨粒檢測范圍,并建立了磨粒尺寸與信號輸出之間的關系。其次,根據(jù)設計傳感器的輸出信號設計了磨粒檢測電路,并搭建了嵌入式硬件平臺,完成了磨粒信息與潤滑油品質信息的處理。根據(jù)變化率理論,搭建嵌入式軟件開發(fā)平臺,實現(xiàn)了齒輪磨損率的監(jiān)測,并開發(fā)上位機監(jiān)測中心,實現(xiàn)了齒輪磨損的實時監(jiān)測。最后,對設計的硬件電路進行電路測試,證實設計電路的可行性。通過對設計系統(tǒng)的系統(tǒng)測試以及實驗,證實了設計系統(tǒng)能夠提前預測齒輪異常磨損,并證實了以變化率形式結合總值方式監(jiān)測齒輪異常磨損,能提高判別齒輪異常磨損的準確性以及判別效率。設計系統(tǒng)達到了預期目標。
[Abstract]:With the development of industry, more and play the function of gear transmission in the industrial production of the larger, predict abnormal wear of gear is becoming more and more important. Although the domestic gear wear various detection methods, but for the prediction of abnormal wear of gear is not much, and rarely involve the gear wear rate detection gear wear condition. In this paper, the use of PC LabVIEW to develop a online monitoring system for the rate of change of form of gear wear rate based on the detection of oil, the system can collect real-time continuous gearbox oil liquid iron magnetic particle size and oil quality, the lower machine, working mode, to achieve real-time monitoring of the gear wear and predict in advance, and the system combines the advantages of the gross way of monitoring gear wear condition, enhances the accuracy and efficiency of the identification of abnormal wear of gear. First of all, in order to improve the oil The detection range of liquid abrasive particles, abrasive designed a new sensor structure, and provides the design theory. By comparing the simulation results confirmed that the design of abrasive abrasive sensor can improve the detection range, and establishes the relationship between the grain size and the signal output. Secondly, according to the design of the sensor output signal the design of particle detection circuit, and an embedded hardware platform, complete the processing of debris and oil quality information. According to the rate of change of theory, build the embedded software development platform, to achieve the monitoring of gear wear rate, and the development of the PC monitoring center, to achieve real-time monitoring of the gear wear. Finally, for the circuit test of hardware circuit design, circuit design feasibility. Based on the system design system testing and experiment, confirmed that the design system can predict abnormal wear of gear, and confirmed The abnormal wear rate of gear is monitored by changing rate form and total value. It can improve the accuracy and efficiency of judging the abnormal wear of gears. The design system has achieved the expected goal.

【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TH132.41

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