Method for diagnosing quality of aluminum-based copper-clad plate
The invention provides a method for diagnosing the quality of an aluminum-based copper-clad plate, and the method comprises the steps: constructing a quick quality diagnosis model correlated with themain quality characteristics of the aluminum-based copper-clad plate through continuous learning and...
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Main Authors | , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
09.03.2021
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Subjects | |
Online Access | Get full text |
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Summary: | The invention provides a method for diagnosing the quality of an aluminum-based copper-clad plate, and the method comprises the steps: constructing a quick quality diagnosis model correlated with themain quality characteristics of the aluminum-based copper-clad plate through continuous learning and model optimization based on the high-definition image characteristics of the surface of the aluminum-based copper-clad plate before and after the solidification of heat-conducting insulating glue through a deep learning network; and rapidly predicting the quality of the aluminum-based copper-clad plate before lamination, and providing a basis for further process optimization. The method can be used for on-line rapid quality diagnosis, and plays an important promoting role in improving the yieldand reducing the manufacturing cost.
本发明提供了一种铝基覆铜板质量的诊断方法,其基于铝基覆铜板的导热绝缘胶固化前后表面的高清图像特征,利用深度学习网络,通过持续学习与模型优化,构建了与铝基覆铜板主要质量特征关联的快速质量诊断模型,实现在压合前对铝基覆铜板质量进行快速预测,为进一步工艺优化提供依据。该方法能够在线快速质量诊断,对于提高成品率,降低制造成本具有重要促进作用。 |
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Bibliography: | Application Number: CN202011301423 |