軸承滾子表面疵病檢測方法的研究
發(fā)布時間：2019-05-23 20:09
【摘要】：在圓錐滾子軸承中,滾子表面如果出現(xiàn)裂紋、斑點等表面疵病,將對軸承質(zhì)量產(chǎn)生嚴重影響,直接導致軸承使用壽命的降低。因此在工業(yè)生產(chǎn)中,需對滾子表面進行100%的缺陷檢測。就目前人工檢測方法而言,已經(jīng)滿足不了工業(yè)發(fā)展越來越高效與高精度的要求,因此需要對滾子表面疵病的自動檢測方法進行研究。 本文在總結軸承鋼球自動檢測的研究成果的基礎上,結合CCD技術、計算機圖像處理及模式識別技術,提出一種新的滾子表面圖像缺陷自動檢測方法。結合滾子檢測的特點,介紹系統(tǒng)的自動檢測原理及工作流程；提出滾子自動送料裝置、自動展開裝置、以及自動分揀裝置等的設計方案,實現(xiàn)對滾子高速、完整的展開以及快速、準確的分揀；在選擇適當?shù)腃CD相機及光學顯微鏡的同時,對光源進行優(yōu)化設計,實現(xiàn)滾子表面圖像的高清晰采集。利用數(shù)字圖像處理及模式識別技術,完成對圖像信息的相應處理與分析及對缺陷信息的對比與識別,最終完成對不合格品的分揀。 該方法實現(xiàn)了圓錐滾子表面疵病的實時檢測,可以對直徑6-15mm的滾子進行精度達5μm的表面疵病檢測,檢測準確率達99%以上,具有操作方便、自動化程度高、出錯率低、檢測周期短等優(yōu)點,大大降低了檢測成本。
[Abstract]:In the tapered roller bearing, if cracks, spots, etc. are present on the surface of the roller, the bearing quality can be seriously affected, and the service life of the bearing can be reduced directly. Therefore, in the industrial production, it is necessary to carry out 100% defect detection on the surface of the roller. As far as the current manual detection method is concerned, the requirement of more and more efficient and high-precision for industrial development has been satisfied, and therefore, the automatic detection method for the surface smoothness of the roller needs to be researched. On the basis of summarizing the research results of automatic detection of bearing steel balls, this paper presents a new automatic detection method for image defects of roller surface based on CCD technology, computer image processing and pattern recognition technology. According to the characteristics of roller detection, the automatic detection principle and working flow of the system are introduced. The design scheme of automatic roller feeding device, automatic unwinding device and automatic sorting device is put forward to realize the high-speed, complete deployment of the roller and the quick and accurate distribution of the roller. selecting the appropriate CCD camera and the optical microscope, and optimizing the light source so as to realize high-definition production of the roller surface image; The method of digital image processing and pattern recognition is used to complete the corresponding processing and analysis of the image information and the comparison and identification of the defect information. The method realizes the real-time detection of the surface smoothness of the conical roller, and can detect the surface smoothness of the roller with the diameter of 6-15 mm up to 5. m u.m, the detection accuracy is more than 99%, the method has the advantages of convenient operation, high degree of automation, low error rate and short detection period and the like, so that the detection is greatly reduced,
【學位授予單位】：長春理工大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TH133.3;TP391.41
本文編號：2484190
[Abstract]:In the tapered roller bearing, if cracks, spots, etc. are present on the surface of the roller, the bearing quality can be seriously affected, and the service life of the bearing can be reduced directly. Therefore, in the industrial production, it is necessary to carry out 100% defect detection on the surface of the roller. As far as the current manual detection method is concerned, the requirement of more and more efficient and high-precision for industrial development has been satisfied, and therefore, the automatic detection method for the surface smoothness of the roller needs to be researched. On the basis of summarizing the research results of automatic detection of bearing steel balls, this paper presents a new automatic detection method for image defects of roller surface based on CCD technology, computer image processing and pattern recognition technology. According to the characteristics of roller detection, the automatic detection principle and working flow of the system are introduced. The design scheme of automatic roller feeding device, automatic unwinding device and automatic sorting device is put forward to realize the high-speed, complete deployment of the roller and the quick and accurate distribution of the roller. selecting the appropriate CCD camera and the optical microscope, and optimizing the light source so as to realize high-definition production of the roller surface image; The method of digital image processing and pattern recognition is used to complete the corresponding processing and analysis of the image information and the comparison and identification of the defect information. The method realizes the real-time detection of the surface smoothness of the conical roller, and can detect the surface smoothness of the roller with the diameter of 6-15 mm up to 5. m u.m, the detection accuracy is more than 99%, the method has the advantages of convenient operation, high degree of automation, low error rate and short detection period and the like, so that the detection is greatly reduced,
【學位授予單位】：長春理工大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TH133.3;TP391.41
【參考文獻】
相關期刊論文 前10條
1 陳禹伶;何臻祥;;模糊PID控制在縫紉機壓框調(diào)速的踏板控制系統(tǒng)中的應用[J];兵工自動化;2010年02期
2 楊東林;于正林;;軸承鋼球表面缺陷的快速檢測方法[J];兵工學報;2009年06期
3 蔣沂萍;原材料缺陷對鋼球質(zhì)量的影響[J];軸承;2002年08期
4 米玉紅;;圓錐滾子軸承的失效形式[J];軸承;2006年07期
5 蔣德軍;;大錐角圓錐滾子軸承的計算機輔助優(yōu)化設計[J];湖南工程學院學報(自然科學版);2007年02期
6 韓文;王艷;呂建英;孔達;;圓錐滾子磨加工表面粗糙度影響因素的分析[J];軸承;2005年12期
7 劉川;劉景林;;基于Simulink仿真的步進電機閉環(huán)控制系統(tǒng)分析[J];測控技術;2009年01期
8 周景亮;林志熙;黃耀志;;應用聲振法對軸承滾子無損檢測的研究[J];機電技術;2006年04期
9 陳曉鵬;;機器視覺技術[J];機電一體化;2008年05期
10 曹東海,盧澤生;靜摩擦因數(shù)與表面粗糙度關系的實驗分析[J];機械傳動;2005年05期
相關博士學位論文 前3條
1 王義文;鋼球表面缺陷檢測關鍵技術研究及樣機研制[D];哈爾濱理工大學;2010年
2 王鵬;基于運動視覺技術的鋼球表面缺陷檢測[D];哈爾濱理工大學;2008年
3 韋宏強;機器視覺技術在彈藥測試設備中的應用研究[D];長春理工大學;2009年
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