| 盒形件智能化拉深变压边力控制规律及其预测 |
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| 引用本文： | 马瑞,赵军,屈晓阳.盒形件智能化拉深变压边力控制规律及其预测[J].机械工程学报,2010,46(8). |
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| 作者姓名： | 马瑞 赵军 屈晓阳 |
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| 作者单位： | 燕山大学机械工程学院,秦皇岛,066004 |
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| 基金项目： | 国家自然科学基金资助项目(50375136) |
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| 摘 要： | 智能化拉深过程中压边力规律的实时预测是关键技术之一。选择非轴对称件中的锥壁盒形件为研究对象,通过数值模拟和试验对成形过程中压边力随凸模行程的变化规律进行研究,得到能够提高成形质量的较优压边力变化趋势,提出破裂临界压边力控制原理,并将前馈神经网络模型引入盒形件智能化拉深压边力控制规律的预测,预测结果与试验吻合较好,实现较优压边力规律的实时预测,为实现盒形件拉深成形过程的智能化控制奠定基础。
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| 关 键 词： | 智能化拉深 盒形件 压边力规律 实时预测 人工神经网络 |
Control Law of Variable BHF and Its Prediction in Intelligent Deep Drawing for Rectangular Box |
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| MA Rui,ZHAO Jun,QU Xiaoyang.Control Law of Variable BHF and Its Prediction in Intelligent Deep Drawing for Rectangular Box[J].Chinese Journal of Mechanical Engineering,2010,46(8). |
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| Authors: | MA Rui ZHAO Jun QU Xiaoyang |
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| Affiliation: | College of Mechanical Engineering/a>;Yanshan University/a>;Qinhuangdao 066004 |
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| Abstract: | The real-time prediction of BHF control law is a key technology in intelligent deep drawing.Non-axisymmetrical workpiece is studied such as rectangular box and as a result the optimized trend of variable blank holder force(BHF) is obtained which is called fracture critical BHF theory.In this work the result of numerical simulation and experiments are the evidence.The optimized control law of variable BHF is predicted by using feed-forward artificial neural network(ANN),which is in good agreement with experi... |
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| Keywords: | Intelligent deep drawing Rectangular box Law of blank holder force Real-time prediction Artificial neural network |
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