کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5005813 1461376 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of the thickness for silicon wafers sawn by diamond wire saw
ترجمه فارسی عنوان
پیش بینی ضخامت برای ورقه های سیلیکونی که توسط اره سیم الماسی برش خورده است
کلمات کلیدی
ضخامت وفر احتمال شکستگی، ویفر سیلیکونی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی برق و الکترونیک
چکیده انگلیسی
A higher yield and lower processing cost for the production of the silicon wafer can be realized by reducing the sliced thickness. However, a larger fracture probability is accompanied with the thinner silicon wafer, which limits the wafer thickness to be reduced. The contradiction between reducing wafer thickness and keeping a smaller fracture probability is an important problem for the industrial production of the silicon wafer. This paper investigates the influences of silicon wafer size and machining defects on the fracture probability in order to understand the essential relationship between damage information and fracture probability adequately. A theoretical model of the fracture probability for silicon wafer is proposed based on the probabilistic fracture mechanics to determine a proper thickness for wafers with different size. Furthermore, one method of predicting a proper thickness for silicon wafers sawn by diamond wire saw is developed. The thickness of 450-mm silicon wafer obtained by this proposed method is 920 µm, which is comparable with the value 925 µm specified by the International Technology Roadmap for Semiconductor. The comparison of these two values reveals the feasibility and correctness of this proposed method. The proposed model in this paper can be used to evaluate the fracture probability and predict a proper thickness for silicon wafers with different size, which is benefit to optimize the processing technology and decrease the breakage ratio for the wafer production.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Materials Science in Semiconductor Processing - Volume 71, 15 November 2017, Pages 133-138
نویسندگان
, , , ,