dc.description.abstract | 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. | en_US |