• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>7th International Conference on Electromagnetic Processing of Materials >Prediction of Tensile Properties and Optimization of electromagnetic casting process parameters in ZL114A Alloys Using Artificial Neural Network and orthogonal
【24h】

Prediction of Tensile Properties and Optimization of electromagnetic casting process parameters in ZL114A Alloys Using Artificial Neural Network and orthogonal

机译：ZL114A合金的拉伸性能预测及电磁铸造工艺参数的人工神经网络和正交预测。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Aluminum alloys'properties are sensitive to the electromagnetic casting process parameters very much,which have nonlinear interactive relationship with electromagnetic casting process parameters.In this study,a model was developed for the prediction of the correlation between electromagnetic casting process parameters and tensile properties in aluminum alloys using artificial neural network(ANN).The inputs of the neural network were electromagnetic casting process parameters,including electric field,magnetic field and pouring temperature.The outputs of the model were the tensile properties,including ultimate strength and elongation.The optimal results achieved from the integrated ANN and orthogonal were tested by using experimental results.Consequently,it can be suggested that the combined approach of ANN and orthogonal provides a novel way with respect to the optimization of processing parameters in the fifififield of materials scienc.
机译：铝合金的性能对电磁铸造工艺参数非常敏感，并且与电磁铸造工艺参数具有非线性的交互关系。本研究建立了预测铝电磁铸造工艺参数与拉伸性能相关性的模型。用人工神经网络（ANN）对合金进行铸造。神经网络的输入是电磁铸造工艺参数，包括电场，磁场和浇注温度。模型的输出是拉伸性能，包括极限强度和伸长率。最佳结果结合实验结果验证了从集成人工神经网络和正交神经网络实现的最佳效果。因此，可以认为人工神经网络和正交神经网络的组合方法为优化材料科学领域中的工艺参数提供了一条新途径。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号