It is worthy of studying the effect of water content in crude oil on tribological behavior of stator rubber,because the different water content would affect the swelling and wear of rubber.Compatibility of dewatered c...It is worthy of studying the effect of water content in crude oil on tribological behavior of stator rubber,because the different water content would affect the swelling and wear of rubber.Compatibility of dewatered crude oil and water was observed after mixture of dewatered crude oil and water(called oil-water mixture)was mechanical stirred and statically placed.Static etching experiment of samples in oil-water mixture was performed using hanging patch test.Wetting contact angle of oilwater mixture on rubber surface was measured by contact angle meter.Tribological behavior of samples in mixture was measured using a ring-on-block tester.The result shows that when the water content is less than 15%,water can blend with dewatered crude oil,and oil-water separation happens when water content was more than 15%.With the increasing of water content in crude oil,Wettability of mixture and swelling increment of samples decrease.The wear loss of sample increases after treated by swelling experiment,and FKM owns better wear resistance than NBR.展开更多
考察了采油螺杆泵(PCP)定子橡胶需要具备的力学性能,并在此基础上,采用遗传神经网络方法,在Matlab软件中编程实现基于遗传算法优化的误差反向传播神经网络算法,建立了PCP定子橡胶配方组分与力学性能之间的优化模型。采用遗传神经网络模...考察了采油螺杆泵(PCP)定子橡胶需要具备的力学性能,并在此基础上,采用遗传神经网络方法,在Matlab软件中编程实现基于遗传算法优化的误差反向传播神经网络算法,建立了PCP定子橡胶配方组分与力学性能之间的优化模型。采用遗传神经网络模型对PCP定子橡胶的力学性能进行预测,并与实测值进行对比。结果表明,PCP定子橡胶配方组分与力学性能之间的优化模型的参数设置为:权值初始化范围为[-1,1],种群大小为50,最大进化代数为100,选择率为0.09,交叉率为0.6,变异率为0.05。当NBR用量为197份、硫黄用量为4份、促进剂CZ用量为1.5份、炭黑用量为20份时,PCP定子橡胶的拉伸强度可达27.5 MPa,扯断伸长率为710%,撕裂强度为158 k N/m。应用遗传神经网络对PCP定子橡胶配方的优化设计取得了较好的效果。PCP定子橡胶的力学性能的实测值与遗传神经网络模型的预测值相对误差控制在±5%以内。展开更多
基金supported by the National Natural Science Foundation of China (50878178)Liaoning Provincial Natural Science Foundation of China (2013020039)
文摘It is worthy of studying the effect of water content in crude oil on tribological behavior of stator rubber,because the different water content would affect the swelling and wear of rubber.Compatibility of dewatered crude oil and water was observed after mixture of dewatered crude oil and water(called oil-water mixture)was mechanical stirred and statically placed.Static etching experiment of samples in oil-water mixture was performed using hanging patch test.Wetting contact angle of oilwater mixture on rubber surface was measured by contact angle meter.Tribological behavior of samples in mixture was measured using a ring-on-block tester.The result shows that when the water content is less than 15%,water can blend with dewatered crude oil,and oil-water separation happens when water content was more than 15%.With the increasing of water content in crude oil,Wettability of mixture and swelling increment of samples decrease.The wear loss of sample increases after treated by swelling experiment,and FKM owns better wear resistance than NBR.
文摘考察了采油螺杆泵(PCP)定子橡胶需要具备的力学性能,并在此基础上,采用遗传神经网络方法,在Matlab软件中编程实现基于遗传算法优化的误差反向传播神经网络算法,建立了PCP定子橡胶配方组分与力学性能之间的优化模型。采用遗传神经网络模型对PCP定子橡胶的力学性能进行预测,并与实测值进行对比。结果表明,PCP定子橡胶配方组分与力学性能之间的优化模型的参数设置为:权值初始化范围为[-1,1],种群大小为50,最大进化代数为100,选择率为0.09,交叉率为0.6,变异率为0.05。当NBR用量为197份、硫黄用量为4份、促进剂CZ用量为1.5份、炭黑用量为20份时,PCP定子橡胶的拉伸强度可达27.5 MPa,扯断伸长率为710%,撕裂强度为158 k N/m。应用遗传神经网络对PCP定子橡胶配方的优化设计取得了较好的效果。PCP定子橡胶的力学性能的实测值与遗传神经网络模型的预测值相对误差控制在±5%以内。
