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Experiment and theoretical prediction for surface roughness of PV polycrystalline silicon wafer in electroplated diamond wire sawing

机译:电镀金刚石线锯中PV多晶硅片表面粗糙度的实验与理论预测

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摘要

The electroplated diamond wire sawing technology is the mainstream processing method of cutting PV polycrystalline silicon ingots. Surface roughness is one of the most significant evaluation indexes for wafers surface quality, and has an important influence on subsequent processes such as surface texturization, screen printing, subsurface damage layer prediction and so on. In this paper, a mathematical model, considering the random distribution characteristic of abrasive parameters and its location on saw wire surface, was developed. The influence of brittle and ductile material removal modes on the wafers surface morphology was taken into account, the model can obtain the cutting depths of abrasives by discretizing the cutting groove and wire profile during the sawing process, and then the material removal modes of abrasives are judged by cutting depth. According to the calculation nodes closest to the sawn surface, the wafer surface profile and roughness along the feed speed direction were calculated. The correctness and reasonability of the model were verified by experiments. Then, the model was used to predict the variation trend of surface roughness under different process parameters. The results showed that the relationships between surface roughness and feed speed V-f , wire speed V-s and their ratio V-f /V-s satisfied power functions. Finally, the calculation result of surface roughness was used to generate a 3D surface morphology of wafer.
机译:电镀金刚石线锯技术是切割PV多晶硅锭的主流加工方法。表面粗糙度是晶片表面质量最重要的评估指标之一,并且对随后的过程(例如表面纹理化,丝网印刷,次表面损伤层预测等)具有重要影响。在本文中,考虑磨料参数的随机分布特征及其在锯线表面的位置,建立了一个数学模型。考虑了脆性和韧性材料去除方式对晶片表面形貌的影响,该模型可以通过在锯切过程中离散化切割槽和线轮廓来获得磨料的切削深度,然后得出磨料的材料去除方式。通过切割深度来判断。根据最接近锯切表面的计算节点,计算沿进给速度方向的晶片表面轮廓和粗糙度。通过实验验证了模型的正确性和合理性。然后,使用该模型预测不同工艺参数下表面粗糙度的变化趋势。结果表明,表面粗糙度与进给速度V-f,线速度V-s及其比V-f / V-s之间的关系满足幂函数。最后,使用表面粗糙度的计算结果来生成晶片的3D表面形态。

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