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介绍氯化聚乙烯橡胶(CM)在胶管外层胶中的应用。结果表明,CM与NR,SBR或NBR的并用胶具有优良的耐臭氧老化性能、耐油性能和粘合性能,能够满足不同胶管外层胶的性能要求;在胶管外层胶中应用CM,无需添加设备和改变常规工艺条件,可降低原材料成本。 相似文献
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四种导电炭黑的性能研究 总被引:1,自引:0,他引:1
本文研究了四种具有不同结构度(吸油值)和孔隙度(吸碘值)的导电炭黑对NR硫化胶物理机械性能及导是性能的影响。实验结果表明,NR填充CSF导电炭黑后,硫化胶的物理机械性能相对最好,导电性能明显优于填充等量ACET之NR硫化胶,面稍逊于NJF和INF导电炭黑,实现发现,用不同改性剂为黑改性后,可使硫化胶强伸性能明显提高,而导电性能稍有下降。CSF等导电炭黑不仅适宜制造复合型导电高分子材料,而且已成功用 相似文献
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聚丙烯/三元乙丙橡胶/天然橡胶三元并用胶的机械性能和流变性与聚丙烯/三元乙丙烯橡胶,聚丙烯/天然橡胶二种二地并用胶的有关性能相当。研究结果表明PP/EPDM并用胶的50%EPDM能用低成本的天然橡胶代替,并用胶的性能不会明显降低。 相似文献
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聚丙烯酸酯橡胶与丁腈橡胶并用的研究 总被引:2,自引:0,他引:2
本文探讨了聚丙烯酸酯橡胶(ACM)与丁腈橡胶(NBR)不同的并用方法对其性能的影响。结果表明,生胶并用工艺简单,加工性能良好,硫化胶的耐油性和耐热性好;母胶并用工艺复杂,其硫化胶的强度高。为ACM与NBR的并用提供了依据。 相似文献
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研究了4种具有不同聚集态结构度(DBP吸收值)和孔隙度(吸碘值)的导电炭黑对NR硫化胶物理机械性能及导电性能的影响。实验结果表明,NR填充CSF导电炭黑后,硫化胶的物理机械性能相对最好,导电性能明显优于填充等量乙炔炭黑的NR硫化胶,而稍逊于NJF和INF填充者。实验发现,用不同改性剂对炭黑改性后,可使硫化胶强伸性能明显提高,而导电性能稍有下降。CSF等导电炭黑不仅适合制造复合型导电高分子材料,而且 相似文献
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在原油介质(不含砂)中以丁腈橡胶(NBR)和氟橡胶(FPM)与45#钢配副为研究对象,采用MPV-600型微机控磨粒磨损试验机研究了2种硫化胶的摩擦磨损性能,通过扫描电子显微镜及能量色散X射线分析表征了硫化胶的磨痕表面形貌及化学元素含量。结果表明,在载荷为100N的条件下,NBR硫化胶的摩擦因数随着转速的增大而增加,当转速超过250r/min时,摩擦因数略有下降;FPM 硫化胶的摩擦因数随着转速的增大而呈线性增加;FPM硫化胶的磨损量略小于NBR硫化胶;NBR及FPM硫化胶的磨损机制均以疲劳磨损为主,低转速下橡胶磨痕比较明显,磨痕由循环应力引起的裂纹萌生和扩展造成;磨损前NBR硫化胶表面主要有C、O、N、S、Si等化学元素,磨损后C元素含量减少,O元素含量增加,其他化学元素无明显变化;磨损前FPM硫化胶表面有C、O、F、S、Si等化学元素,磨损后C元素和O元素含量均有所增加,而F元素含量明显减少。 相似文献
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Christian Drumm Sudarshan Tiwari Jrg Kuhnert Hans-Jrg Bart 《Computers & Chemical Engineering》2008,32(12):2946-2957
Finite pointset method (FPM) is applied for the simulation of the single- and two-phase flow field in a rotating disc contactor (RDC) type extraction column. FPM is a numerical method to solve fluid dynamic equations. This is a Lagrangian and meshfree particle method, where the particles move with fluid velocity and carry all information necessary for solving fluid dynamic quantities. The simulations are validated by single- and two-phase 2D particle image velocimetry (PIV) measurements. In addition, the results are compared to simulations of the commercial CFD code Fluent. The results show that FPM can predict the one- and two-phase flow field in the RDC, whereas the predicted velocities are in good agreement with the experimental ones. FPM also bears comparison with the results of the commercial CFD code Fluent. 相似文献
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超细HMX的表面能研究 总被引:2,自引:0,他引:2
用DCAT21型表面/界面张力仪测量了原料HMX(奥克托今,45μm~62μm)、超细HMX(0.2μm~1.7μm)和黏结剂FPM2602的接触角,并计算出它们的表面能。分析了HMX随粒径变化时其表面能的变化规律和黏结剂包覆超细HMX表面能的基本要求。结果表明,细化HMX表面能随粒径的减小有增加的趋势;黏结剂的表面能低于超细HMX的表面能,理论和实验均证明黏结剂FPM2602能包覆于超细HMX的表面。 相似文献
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Bin Yang Mengya Ding You Shi Lei Hu Ru Xia Ji-Bin Miao Ming Cao Jia-Sheng Qian Peng Chen Yu-Chuan Zhang En-Fa Fu 《应用聚合物科学杂志》2019,136(16):47390
An umbrella handle product of polypropylene molded by gas-assisted injection molding (GAIM) was studied from both aspects: theoretical modeling and simulation as well as in situ temperature measurement. The simulation was primarily through the use of the commercial software Moldflow (version 6.1) coupled with enthalpy transformation method (ETM) in an attempt to investigate the shear rate and temperature fields during GAIM process. A four-parameter model (FPM) was used to nonlinearly fit the temperature decays during the GAIM cooling stage on the basis of a three-parameter model (TPM) raised previously in our group. The FPM showed perfect fitting effect as well as presented fairly acceptable cooling time (tc) prediction in comparison to experimental data, which could better reflect the nature of crystalline polymers during melt crystallization process. The understanding of the shear rate and temperature fields would be of practical importance to the further research on relationship of “processing–structure–property” as well as the optimization of cooling parameters for industrial GAIM operations of crystalline polymers. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47390. 相似文献
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含超细高氯酸铵核-壳型复合材料的制备 总被引:2,自引:0,他引:2
用超临界流体沉积技术中的SAS法制备了超细HMX,AP,CL-20以及Al—FPM2602核-壳型复合材料。通过氟橡胶FPM2602在超细HMX,AP,CL-20和Al混合物表面的沉积,达到对混合物进行包覆改性的目的。吸湿性试验表明,该核壳型复合材料的抗湿能力得到明显提高。对该超细核壳型复合材料进行了撞击感度、火焰感度、爆发点测试。结果表明,与未包覆的混合物相比,该超细核-壳型复合材料的性能有了一定的提高。超临界流体沉积技术中的SAS法是制备含水溶性超细含能复合材料的绿色环保方法。 相似文献
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One of the most significant models used to describe and predict the performance of reverse osmosis type membranes is the finely porous model (FPM). In this paper, the basic assumptions of the model are examined and modified. The two most serious problems with FPM are that an incorrect form of material balance on the solute is used and that the osmotic pressure effects are not completely taken into account for electrolytes. A modified model (called MD-FPM), which is based on the same physical precepts is derived. Equations describing the concentration profile for both models have been derived and compared. It has been shown that the FPM can predict physically unacceptable results. Difficulties in using the parameters from the model for prediction or for membrane development work are discussed. Simulation results for the MD-FPM model are consistent with what is expected for reverse osmosis type membranes. 相似文献
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Dwaipayan Sen Anirban Roy Apratim Bhattacharya Debadrito Banerjee Chiranjib Bhattacharjee 《Desalination》2011,273(1):168
The membrane surface dynamics is very difficult to predict and can be roughly estimated by the available models but a true depiction is always difficult since the magnitude and direction of driving forces change as a function of time. The present study is an effort to address the issue, so that the combinatorial approach of deterministic and stochastic modelling might present a better understanding of membrane dynamics. The effect of diafiltration has also been incorporated to investigate the effects it has on the membrane. A stochastic model developed by a knowledge based hybrid neural network (KBHNN) was trained using the Levenberg–Marqurt algorithm where the film layer model was used as the deterministic layer, called the first principle model (FPM). Present work employs two different types of KBHNN architecture with an effort to understand the suitability and applicability of the hybrid network in case of predictions for an ultrafiltration (UF) process. In one sort of architecture neural part was in series with the FPM and in the other one it was in parallel with the FPM. The high correlation coefficient (R2) value portrays the correctness and preciseness of the underlining assumptions and establishes the validity of the developed network. 相似文献