| 摘要: | 隨著全球暖化情形日益嚴重，各項再生能源不斷被討論及普及化。在這個背景下太陽能發電佔全球再生能源比重越來越高，同時太陽能產品應用也越來越多元化；同時在日本核災的催化下太陽能發電需求亦被引爆。
目前全球在太陽能發電中仍以多晶矽為主的多晶太陽能晶片為主流，本研究即以太陽能矽晶圓線切割製程之有效切割時間分析為主體，以國內太陽能矽晶圓龍頭廠於2013年2~3月份實際監控之線速、切速、流量_Top、比重_Top、溫度_Top、流量_Bot、比重_Bot、溫度_Bot、收線張力、新線張力、漿溫等十一個自變數為主要研究範圍。在收集與分析有效切割時間數據時，本研究係以實際切割無斷線發生為依據。
研究結果顯示，在使用迴歸分析進行有效切割時間預測後，以線速、流量_Bot、比重_Bot與漿溫等四個變數改變而引起的變動佔有75.6%的比率，因此我們可得知上述四個自變數變動時，對於斷線發生的情形具有很強的顯著性，這將可以提供太陽能矽晶圓產業在進行斷線改善時，能有一部分之參考依據。
As the global warming gets worse day by day, all kinds of renewable energy resources are continuously discussed and popularized. In such a situation, solar power electricity generation has an increasing proportion of global renewable energy, and solar power appliances become more and more diverse. Meanwhile, the Fukushima Daiichi nuclear disaster also triggers the growth of solar power electricity generation.
Currently solar wafer made by polycrystalline silicon are the mainstream in the global market of solar power electricity generation. This research focuses on the effective cutting time factors analysis of solar wafer wire saw procedure, and mainly discusses a range of eleven independent variables: wire-speed, cut-speed, flow_Top, density_Top, temperature_Top, flown_Bot, density_Bot, temperature_Bot, take-up tension, new wire tension and Slurry temperature by using actual measured figures between February and March 2013 from a national solar wafer leading company. This research is to collect and analyze efficient cutting time data in the actual condition that no breaking wire saw happens.
The research result shows that by using regression analysis to predict efficient cutting time, the 75.6% changes are caused by the variance of four variables: wire-speed, flown_Bot, density_Bot, and Slurry temperature. Therefore, above four variables’ change has highly positive impact on the occurrence of breaking wire, which might be a reference of improving the situation of breaking wire to the solar wafer industry. |
