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| 1 | 冷轧工作辊热凸度及其对板形影响显示文摘冷轧过程中工作辊的热凸度变化是决定带材板形质量的重要因素,研究分析工作辊的热变形及其对板形的影响对于提高带材质量有着重要的意义。以某厂1450 mm冷连轧生产线为研究对象,运用大型有限元分析软件ANSYS与LS-DYNA分别建立四机架与五机架的工作辊二维热凸度有限元仿真模型和三维有限元轧制仿真模型,并将2个仿真模型相结合,分析热凸度变化对板形的影响规律、工作辊上机后的热辊形变化过程及其对板形的影响规律,进一步分析轧制速度改变引起的热辊形变化对板形的影响以及乳化液温度、边部预热宽度对板形的影响,为以后冷轧板形质量提升提供了基础。 | 渠福泉 李旭 张宇峰 李晓华 李康 秦秀珍 | 2022 | 中国冶金2022，32，4： | 6 |
| 2 | Visualization of flatness pattern recognition based on T-S cloud inference network显示文摘Flatness pattern recognition is the key of the flatness control. The accuracy of the present flatness pattern recognition is limited and the shape defects cannot be reflected intuitively. In order to improve it, a novel method via T-S cloud inference network optimized by genetic algorithm(GA) is proposed. T-S cloud inference network is constructed with T-S fuzzy neural network and the cloud model. So, the rapid of fuzzy logic and the uncertainty of cloud model for processing data are both taken into account. What's more, GA possesses good parallel design structure and global optimization characteristics. Compared with the simulation recognition results of traditional BP Algorithm, GA is more accurate and effective. Moreover, virtual reality technology is introduced into the field of shape control by Lab VIEW, MATLAB mixed programming. And virtual flatness pattern recognition interface is designed.Therefore, the data of engineering analysis and the actual model are combined with each other, and the shape defects could be seen more lively and intuitively. | 张秀玲 赵亮 臧佳音 樊红敏 | 2015 | Journal of Central South University2015，22，2： | 1 |
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