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Multi-attribute analysis of micro-defect detection techniques suitable for automated production line of solar wafers and cells

机译:适用于太阳晶晶片及细胞自动化生产线的微缺陷检测技术的多属性分析

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摘要

Renewable energy is going to play an immensely important role in the coming decades. Hence, the bulk manufacturing of solar panels has seen a renewed interest. For this purpose, it is imperatively important to assess the techniques that can be employed on automated production lines for evaluating the quality of solar wafers and cells. To-date many non-destructive testing methods to access the micro-defects in solar wafers and cells have been developed around the globe; however, not all of them can be applied on a fast-paced production line. In this regard, this study details all the non-destructive evaluating techniques that can be employed on an automated production line. Using a multi-attribute decision-making method, a strategic evaluation procedure is developed that can be adopted for the optimum selection of evaluation tools currently available in the market. This study is aimed at young researchers, graduate students and practitioners who want to come up-to-speed regarding the various defects that occur in solar wafers and cells along with the techniques that are currently being adopted to evaluate those defects. Also, future trends in research are highlighted regarding the development of assessment techniques.
机译:可再生能源将在未来几十年中发挥着非常重要的作用。因此,太阳能电池板的散装制造已经看到了更新的兴趣。为此目的,评估可用于评估太阳晶晶片和细胞质量的自动生产线上的技术是必要的。迄今为止,在全球范围内开发了许多用于访问太阳晶片和细胞中微缺陷的无损检测方法;但是,并非所有这些都可以应用于快节奏的生产线。在这方面,本研究详述了可以在自动化生产线上采用的所有非破坏性评估技术。使用多属性决策方法,开发了一种战略评估程序,可以采用目前市场上目前可用的评估工具的最佳选择。本研究旨在针对年轻的研究人员,研究生和从业者,他们想要在太阳晶片和细胞中出现的各种缺陷的速度,以及目前正在采用的技术来评估这些缺陷。此外,关于发展评估技术的发展,研究的未来趋势是突出的。

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