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Experimental Investigation of Contamination Removal from Slider Bar Surface by Using Various Cleaning Methods

机译:采用各种清洁方法对滑动杆表面污染去除的实验研究

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The rapid advancements in various current technologies and the constant trend in miniaturizing of components have created a need for higher cleanliness levels. Contamination in the level of monolayers can drastically alter surface properties such as wettability, adhesion, optical or electrical characteristics. To select an effective cleaning method the three essential factors to be considered such as cleaning chemistry, the scrubbing method and other process parameters. This study investigates the effectiveness of brush cleaning, ultrasonic cleaning and combination of brush and ultrasonic cleaning on removal of contamination, surface defects and brush life time. In this study, the cleaning efficiency was compared for the parts cleaned with ultrasonics, nylon brush, Poly Vinyl Alcohol (PVA) brush and combination of ultrasonics and nylon brush. The life time of brush was studied for both nylon and PVA brush. The techniques used to identify the contamination are SEM, EDX and optical microscope. The microscopic result indicates that the removal efficiency was high for the parts cleaned with ultrasonics (90.5%) and PVA brush (90.2%) as compared to Nylon brush (77.4%). This is due to the fact that for PVA brush the fluid was being pumped in and out of brush pores (during compression and elastic recovery of the brush), carries the contamination away from the surface and also the contact area between the contamination surface and brush was more. From Liquid Particle Count (LPC) analysis, the >0.3 mic particle counts is almost two times lower for parts cleaned with ultrasonics as compared to parts cleaned with brushes. This indicates that 58/132 kHz washing followed by 470 kHz DI rinsing effectively removes sub- micron particles from the surface compared to brush cleaning. The defects caused by brushes on the surface of the slider bar is almost 1% for nylon brush cleaning, 0.4% for PVA brush cleaning and 0% for ultrasonic cleaning. From experimental study, it can be seen that the life time of PVA brush was shorter than Nylon brush by 75 times. The contamination increased after 50th run for PVA brush and after 700~(th) run for nylon brush. This is due to the fact that after brush damage (after 50th run for PVA and 700th run for nylon) the brush can not effectively remove the contamination and also re-deposition of contamination from brush.
机译:在目前各种技术的迅速进步和部件的小型化趋势不断创造需要更高的清洁度等级。污染在单层的水平可以极大地改变表面性质,例如润湿性,粘合性,光学或电气特性。要选择一种有效的清洗方法要考虑的三个基本因素,例如清洁化学物质,洗涤方法和其它工艺参数。本研究探讨刷清扫,超声波清洗和刷和去除污染物,表面缺陷和电刷寿命时间的超声波清洗的组合的有效性。在这项研究中,清洁效率进行了比较用超声波,尼龙刷,聚乙烯醇(PVA)和刷超声和尼龙刷的组合清洁的部件。刷的寿命时间研究了尼龙和PVA刷。用于识别污染的技术是SEM,EDX和光学显微镜。微观结果表明,相比于尼龙刷(77.4%)去除率为高用于与超声(90.5%)和PVA刷(90.2%)清洁的部件。这是由于这样的事实:对于PVA刷液和流出刷的孔(压缩和刷的弹性恢复期间)被泵送,携带污染远离表面,并且还污染表面和电刷之间的接触面积更。从液体粒子计数(LPC)分析,> 0.3麦克风颗粒数几乎是两倍降低用于与超声波清洗部件相比,用刷子清洗零件。这表明58/132千赫洗涤,随后470千赫DI漂洗有效地从表面亚微米粒子相比刷清扫。所造成的滑块的表面上刷缺陷几乎是1%尼龙毛刷清洗,对于PVA刷清扫0.4%和超声波清洗0%。从实验研究中,可以看出,PVA刷的续航时间由75倍,比尼龙刷短。污染对于PVA刷50次运行后增加,并且之后尼龙刷700〜(th)的运行。这是由于这样的事实,刷损害(对于PVA第50运行和尼龙第七百运行之后)之后的刷不能有效地从刷子去除污染物,并且还污染的重新沉积。

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