排序方式: 共有11条查询结果,搜索用时 375 毫秒
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热连轧作为典型的流程工业过程,具有多变量、强耦合、过程非线性的特点,轧制机理非常复杂。针对传统方法难以获得准确的数学模型从而导致板形质量预测精度较低的问题,采用基于数据驱动的核偏最小二乘 (KPLS) 方法以有效处理工艺参数和质量指标之间的非线性关系,以此为基础,建立了基于KPLS结合支持向量机(SVM)的板凸度预测模型,并采用粒子群优化算法 (PSO) 优化支持向量机参数,进一步提高热连轧板凸度预测精度。预测结果表明,96.86%的板凸度预测值绝对误差小于5.5 μm,整体具有较高的预测精度,对实现板形质量精确控制、提高热轧产品质量具有重要意义。 相似文献
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采用Gleeble-3800热模拟试验机对含铜304L不锈钢进行热压缩实验,变形温度为900~1150 ℃,应变速率为0.01~20 s-1,并通过应力-应变曲线构建其热加工图。结果表明,随着铜含量的增加(0%Cu-304L,2.42%Cu-304L,3.60%Cu-304L),较好的热加工温度范围从200 ℃降低到75 ℃。微观组织分析发现:该材料失稳的主要原因有局部流动失稳、剪切带、空洞和裂纹;在热变形过程中,塑性变形能在短时间内转化为热量,导致变形材料局部温度升高,这使得熔点相对较低的铜偏析区易融化从而形成孔洞,成为裂纹的来源,降低了材料的热加工性。 相似文献
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As the spring equation is limited to the accuracy of mill stiffness and the linearity of the mill spring curve, the traditional gaugemeter automatic gauge control (GM-AGC) system based on spring equation cannot meet the requirements of practical production. In allusion to this problem, a kind of novel GM-AGC system based on mill stretch characteristic curve was proposed. The error existing in calculating strip thickness by spring equation were analyzed first. And then the mill stretch characteristic curve which could effectively eliminate the influence of mill stiffness was described. The novel GM-AGC system has been applied successfully in a hot strip mill, the application results show that the thickness control precision is improved significantly, with the novel GM-AGC system, over 98.6% of the strip thickness deviation of 3.0 mm class can be controlled within the target tolerances of ±20 μm. 相似文献
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采用巴克豪森无损检测系统,对普通取向硅钢及高磁感取向硅钢的巴克豪森噪声值进行了检测,研究了表面涂层应力及外加应力对烟机传感器用取向硅钢巴克豪森噪声值的影响。结果表明,去除表面涂层导致普通取向硅钢A与高磁感取向硅钢B的磁畴宽度分别增加了53%和90%,巴克豪森噪声值随之增大了9.7~36%,主要由磁畴宽度的增加引起。施加3 MPa的拉应力使A与B取向硅钢的磁畴宽度分别降低了47%和50%,巴克豪森噪声值随之下降了17~31%。磁畴壁的移动速度验证了取向硅钢的铁损与巴克豪森噪声的相关性。 相似文献
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