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zhao0916银虫 (小有名气)
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[求助]
摘要英译汉(塑料模具）
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According to the yield length of a plastic, whether a mould is filled fully or not can be estimated. In this study, a new formula based on various injection parameters was developed to determine the yield length in plastic moulding of the commercial plastics,the most widely used ones are low-density polyethylene, high-density polyethylene, polystyrene and polypropylene, by artificial neural network (ANN). This study covers two main objectives: (i) the yield properties of plastics have been investigated at various injection parameters (cylinder temperature, injection pressure, injection flow rate and mould temperature) in a mould including spiral chutes as experimental; (ii) the yield length of the commercial plastics based on various measured injection parameters (cylinder temperature, injection pressure, injection flow rate and mould temperature) in a mould was described by ANN using experimental data.Some experimental data were used as test data, and these values were not used for training. Scaled conjugate gradient and Levenberg– Marquardt (LM) learning algorithms and logistic sigmoid transfer function were used in the network. The results show that the maximum mean absolute percentage error (MAPE) was found to be 1.574969% and R2 values 0.99964. The best approach was found in the LM algorithm with six neurons. The MAPE and R2 for testing data were 1.849 and 0.9995, respectively, similar to algorithm and neurons. This study is considered to be helpful in predicting the yield length in the mould whose injection parameters are known. The present method greatly reduces the time required by design engineers to find the optimum solution and in many cases reaches a solution that could not be easily obtained from simple modeling programs. [ Last edited by zhao0916 on 2011-6-3 at 07:39 ] |
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sltmac
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【答案】应助回帖
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ringzhu(金币+2): 端午快乐~~ 2011-06-06 15:35:56
zhao0916(金币+20, 翻译EPI+1): 不应该是产量长度，看来你不是本专业的啊，不过还是要谢谢啊 2011-06-06 15:39:30
ringzhu(金币+2): 端午快乐~~ 2011-06-06 15:35:56
zhao0916(金币+20, 翻译EPI+1): 不应该是产量长度，看来你不是本专业的啊，不过还是要谢谢啊 2011-06-06 15:39:30
| 根据塑料的产量长度，可以估计模具是否需要填充满。本研究中，提出了一种基于不同注入参数的新的方程来考察商用塑料模具中的产量长度，最为广泛使用的是通过人工神经网络（ANN）模拟的低密度/高密度的聚乙烯、聚苯乙烯和聚丙烯。本研究包含两个主要目的：（1）研究在模具中包括试验用的螺旋进料槽的不同注入参数下塑料的产量特性（气缸温度、注入压力、流率以及模具温度）；（2）通过ANN模拟基于不同测量注入参数下模具中商用塑料的产量长度（气缸温度、注入压力、流率以及模具温度）。实验数据用来作为测试数据。ANN实验使用SCG和LM算法以及Sigmoid传递函数。实验结果显示MAPE为1.574969%，R2值为0.99964。在LM算法中最好的途径有6个神经元。MAPE和R2的测试值分别为1.849和0.9995。本研究的内容在注入参数已知的情况下预测模具中的产量长度的应用上是很有帮助的。现在的研究理论都重在减少工程设计所需时间寻找不能由简单模型程序最到的最优途径。 |
3楼2011-06-06 13:56:49
sltmac
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4楼2011-06-06 16:03:59
sltmac
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5楼2011-06-06 16:05:24
zhao0916
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6楼2011-06-07 10:16:03
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