【導(dǎo)讀】研究工作所取得的成果。除文中已經(jīng)注明引用或參考的內(nèi)容外，本論文不含。對本文的研究做出重。要貢獻的個人和集體，均已在文中以明確方式標(biāo)注。本人完全意識到本聲明的法律結(jié)果由本人承擔(dān)。生在學(xué)習(xí)期間所完成的學(xué)位論文的知識產(chǎn)權(quán)歸學(xué)院所擁有。文被查閱和借閱?？s印或掃描等復(fù)制手段保存和匯編本學(xué)位論文。本文設(shè)計了一臺簡易剪板機，能夠?qū)崿F(xiàn)對厚度10mm，寬度2021mm的板材進行剪切，利用液壓系統(tǒng)控制刀架，大大減少了剪切的時間并且提高了剪切精度。采用人工送料以降。近年來，隨著模具技術(shù)和沖壓技術(shù)的發(fā)展，剪板機的應(yīng)用范圍在不斷地擴大，數(shù)。預(yù)計不久的將來，剪板機在沖壓用剪板機中的比例將會愈來愈大。

　　

【正文】 (1)首次啟動電機時，注意保證電 機正確的旋轉(zhuǎn)方向；在啟動前，給油泵灌入清潔的引液。 (2)啟動油泵電油泵空運轉(zhuǎn)數(shù)分鐘之后，方可將系統(tǒng)壓力逐步調(diào)節(jié)至設(shè)機，待計要求。 (3)系統(tǒng)壓力油液輸出正常后，按前面所說各調(diào)試好控制元件調(diào)的控制參數(shù)。 液及對污染的控制 (1)液壓所用油液對液壓系統(tǒng)能否正常使用具有十分重要的意義，除系統(tǒng)設(shè)計的合理、元件制造的質(zhì)量 和維護使用等條件外，油液的適用性和油液清潔度是一個十分重要的因素。 (2)液壓油液作為液壓傳動的工作介質(zhì)，除了傳替能量外，還有潤滑液壓元件運動副以及保護金屬不被銹蝕等作用 。 (3)液壓油液污染嚴(yán)重時，液壓系統(tǒng)工作性能惡化，容易產(chǎn)生故障、元件加速磨損、壽命縮短、甚至造成設(shè)備和操作的重大事故。 (1)在正常運行情況下，各截止閥手柄應(yīng)按原理圖處于正確的位置，并將其鎖定； (2)溢流閥、節(jié)流閥調(diào)定值應(yīng)按前面的數(shù)值調(diào)定，并將其鎖定； (3)在沒有電源的情況下，可以手動按下電磁球閥 23QDF6B/315E24實現(xiàn)手動換向，實現(xiàn)閥門開關(guān)及系統(tǒng)泄荷。 液壓系統(tǒng)的維護及注意事項 ，不得將不同牌號的液壓油液混合使用。 ；系統(tǒng)第一次投入運行三個月后，應(yīng)將液壓油液過濾一次或更換，并清洗油箱；以后，一般每一年換一次油液；油液每三個月應(yīng)化驗一次，對于已經(jīng)變質(zhì)老化或被嚴(yán)重污染的液壓油液應(yīng)及時更換。 ，以免影響系統(tǒng)正常工作。 ，如要維修更換，請注意型號和說明書要求。 [鍵入文字 ] 26 ，如異常應(yīng)檢查各元件和管線滲漏點；如果發(fā)現(xiàn)滲漏點，在不影響使用的情況下作好標(biāo)記，停機時 進行處理，如滲漏嚴(yán)重，應(yīng)立即停機處理。 ，要求周圍環(huán)境的相對濕度不大于 85%，且無雨雪侵蝕。 壓系統(tǒng)要定期檢修，過濾或更換液壓油液，并清洗油箱。 結(jié)論 本課題設(shè)計了剪板機，在搜集了大量資料后進行了以下幾方面的設(shè)計： ：包括剪切力，壓料力，上刀片行程量的確定 ，包括剪板機的機體、刀架、托板、托料裝置刀具選擇等等； 設(shè)計，包括供油方式、液壓缸設(shè)計、活塞設(shè)計等等， [鍵入文字 ] 27 在設(shè)計過程中也遇到了一定的困難，例如刀架的布置和運動方式，液壓系統(tǒng)的選擇等等，都在查閱資料和老師的指導(dǎo)下得以解決。 由于能力所限 ,經(jīng)驗不足，設(shè)計中尚有許多不足之處 ,懇請各位老師給予指教。 致謝 在本次設(shè)計中首先感謝陳躍老師對我的設(shè)計課題不厭其煩的細(xì)心指點。陳躍老師首先細(xì)致地為我講解；當(dāng)我迷茫于眾多的資料時，他又為我提綱摯領(lǐng)，梳理脈絡(luò)，使我確立了本設(shè)計的框架。從框架的完善，到內(nèi)容的擴充；從行文的用語， 到格式的規(guī)范，指導(dǎo)老師都嚴(yán)格要求，力求完美。我再次為指導(dǎo)老師的付出表示感謝。 感謝母校，感謝各位大學(xué)四年來的任課老師，感謝他們四年來對我的栽培和教導(dǎo)！ [鍵入文字 ] 28 最后感謝 05 機本 (2)班的全體同學(xué)的關(guān)心和幫助，感謝他們在平時學(xué)習(xí)生活中對我的幫助！ 我將用我以后的成就來回報我的母校，回報所有關(guān)心和愛護我的人！謝謝你們！ 參考文獻 [1] 張慧光 .剪板機設(shè)計 [M].沈陽：沈陽鍛壓機床廠， [2] 王三民，諸文俊 .機械原理與設(shè)計 [M].北京 :機械工業(yè)出版社 , [3] 徐灝 .機械設(shè)計手冊 [M](第 5卷 ).北京 :機械工業(yè)出版社 , [4] 丁德全 .金屬工藝學(xué) [M].北京 :機械工業(yè)出版社 , [5] 陳立德 .機械設(shè)計基礎(chǔ)課程設(shè)計指導(dǎo)書 [M].北京 :高等教育出版社 ,2021 [6] 姜繼海 ,宋錦春 ,高常識 .液壓與氣壓傳動 [M].北京 :高等教育出版社 , [7] 溫松明 .互換性與測量技術(shù)基礎(chǔ) [M].長沙 :湖南大學(xué)出版社 , [鍵入文字 ] 29 [8] 范思沖 .畫法幾何及機械制圖 [M].北京：機械工業(yè)出版社， [9] 謝鐵邦 李柱 席宏卓 .互 換性與技術(shù)測量 [M].武漢：華中科技大學(xué)出版社， [10] 李興中 陳啟松 朱福元 .液壓設(shè)備管理維護手冊 [M].上海：上海科學(xué)技術(shù)出版社， [11] 吳宗澤 .機械設(shè)計師手冊下冊 [S].北京：機械工業(yè)出版社 . [12] 單麗云 .工程材料 [M].徐州：中國礦業(yè)大學(xué)出版社 .2021 [13] 邱宣懷 .機械設(shè)計 [M](第四版 ).北京：高等教育出版社 .1997 附錄 英文翻譯 英文原文 Application of slice spectral correlation density to gear [鍵入文字 ] 30 defect detection G Bi , J Chen, F C Zhou, and J He The State Key Laboratory of Vibration, Sound, and Noise,Shanghai Jiaotong University, Shanghai,People’s Republic of China The manuscript was received on 16 October 2021 and was accepted after revision for publication on 3 May : Abstract: The most direct reflection of gear defect is the change in the amplitude and phase modulations of vibration. The slice spectral correlation density (SSCD)method presented in this paper can be used to extract modulation information from the gear vibration signal。 amplitude and phase modulation information can be extracted either individually or in bination. This method can detect slight defects with paratively evident phase modulation as well as serious defects with strong amplitude modulation. Experimental vibration signals presenting gear defects of different levels of severity verify to its character identification capability and indicate that the SSCD is an effective method, especially to detect defects at an early stage of development. Keywords: slice spectral correlation density, gear, defect detection, modulation 1 INTRODUCTION A gear vibration signal is a typical periodic modulation signal. Modulation p henomena are more serious with the deterioration of gear defects. Accordingly, the modulation sidebands in the spectrum get incremented in number and , extracting modulation information from these sidebands is the direct way to detect gear defects. A conventional envelope technique is one of the methods for this purpose. It is sensitive to modulation phenomena in amplitude, but not in phase. A slight gear defect often produces little change in vibration amplitude, but it is always acpanied by evident phasemodulation. Employing the envelope technique for an incipient slight defect does not produce satisfactory results. In recent years, the theory of cyclic statistics has been used for rotating machine vibration signal and shows good potential for use in condition monitoring and diagnosis [1–3]. In this article, spectral correlation density (SCD) function in the secondorder cyclostationarity is verified to be a redundant information provider for gear defect detection. It simultaneously exhibits amplitude and phase modulation during gear vibration, which is especially valuable for detecting slight defects and monitoring their SCD function maps signals into a twodimensional function in a cyclic frequency (CF) versus general frequency plane (a–f). Considering its information redundancy [4] and huge putation,the slice of the SCD where CF equals the shaft rotation frequency is individually puted for defect detection,which is named slice spectral correlation density (SSCD). The SSCD is demonstrated to possess the same identification capability as the SCD function. It can be puted directly from a timevarying autocorrelation with less putation and, at the same time, has clear representation when pared with a threedimensional form of the SCD. 2 SECONDORDER CYCLIC STATISTICS A random process generally has a timevarying autocorrelation[5] [鍵入文字 ] 31 where is the mathematic expectation operator and t is the time lag. If the autocorrelation is periodic with a period T0, the ensemble average can be estimated with time average The autocorrelation can also be written in the Fourier series because of its periodicity Where Combining with equation(2), its Fourier coefficients can be given as [5] where is the time averaging operation, is referred to as the cyclic autocorrelation