注射成型模具排气槽的设计

塑料注射成型模具的排气方式和排气槽结构直接影响塑料制品质量。介绍了塑料注射成型模具的排气方式、排气槽设计经验以及切实可行的排气方案和排气槽结构。     

Effect of Cr3C2 on Valence-Electron Structure and Plasticity of Rim Phase in Ti(C,N)-Based Cermets

Based on the empirical electron theory of solids and molecules, the valence-electron structure (VES) of the rim phase in Ti(C,N)-based cermets was calculated, and the relationship between the VES and plasticity was determined. The results indicated that the plasticity of the rim phase in a Ti(C,N)-based cermet could be defined using the sum of the n _a values for the covalent bonds, and that chromium dissolution in the rim phase improved the plasticity of the rim phase. Moreover, a series of experiments showed that adding Cr₂C₃ to a typical Ti(C,N)-based cermet strengthened the interface. Based on those results, a Ti(C,N)-based cermet with added Cr₃C₂ was manufactured; the new cermet had more than twice the transverse rupture strength of a typical cermet.     

Glass‐transition temperature in the curing process of bismaleimide modified with diallylbisphenol A

The T_g‐conversion relationship, during the thermal curing of different stoichiometric formulations of 1,1′‐(methylene‐di‐4,1‐phenylene) bismaleimide (BMI), modified with o,o′‐diallyl bisphenol A (DABA), was investigated. The DiBenedetto equation was used to model this relationship for the formulation of DABA‐1 (BMI : DABA, 1 : 1). Based on this model, the T_g‐conversion relationship of formulation DABA‐0.5 (BMI : DABA, 1 : 0.5) was modeled. The high consistency between the model curve and experimental data showed that the change of T_g, attributed to copolymerization between BMI and DABA in DABA‐0.5, in the low‐conversion regime, was the same as that in DABA‐1. This also verifies that, for the formulation DABA‐0.5, copolymerization and homopolymerization do not overlap with each other. The reactions progressed sequentially and homopolymerization occurred after completion of copolymerization. © 2004 Wiley Periodicals, Inc. J Appl Polym Sci 91: 3244–3247, 2004     

聚天冬氨酸的合成与表征

以L-天冬氨酸为原料,热缩合成聚天冬氨酸酐,水解得到聚天冬氨酸。采用凝胶色谱法(GPC)测定了聚天冬氨酸的分子量,并用核磁共振(NMR)对其进行了表征。     

基于软件定义网络和移动边缘计算的车联网高效任务卸载方案

随着车联网(IoV)中车辆和智能应用数目的增加使计算密集型任务激增,传统架构难以满足用户需求。为解决车联网计算资源不足且分配不均匀、应用时延需求无法满足、任务能耗成本较高的问题,结合移动边缘计算(MEC)和软件定义网络(SDN),设计了一种从宏基站到MEC服务器到车辆的车联网架构中的高效任务卸载方案,并提出一种改进的低复杂度非支配排序遗传算法,优化任务卸载成本和MEC服务器的负载均衡率。实验仿真结果表明,相比于随机卸载,NO-MEC卸载,NO-I卸载,传统NSGA、NSGA-Ⅱ卸载,GA卸载,Q-learning卸载,DQN卸载方案,所提方案有着更低的卸载成本,更优的负载均衡率,得到近似最高的系统效用,能够给车联网中的车辆用户带来更优质的网络服务。     

搅拌槽中垂直列管外壁的传热膜系数分布

在一内径为 12 0 0mm容积为 1.5m3 的搅拌槽中 ,使用CBY螺旋桨、 4 5°斜叶桨和六直叶涡轮桨 ,对牛顿流体采用量热法 ,研究了列管外壁的局部传热膜系数的分布情况。实验结果表明 ,对轴向流桨和径向流桨 ,列管外壁的局部传热膜系数有不同的分布 ;列管外壁各点的局部传热膜系数均与ε0 .197成正比。此外 ,文中还研究了桨叶离底距离、桨径等因素对列管外壁局部传热膜系数的影响。     

煤矸石混合材对标准稠度影响的灰色关联分析

利用灰色关联分析的数学方法,对利用煤矸石作水泥混合材所产生的标准稠度用水量改变的影响,做了分析。论述了不同细度水泥条件下,煤矸石粒径分布范围对水泥需水量的影响。发现了在水泥较细时,在粒径范围<5 μm下的煤矸石颗粒,对标准稠度用水量影响最大;在水泥较粗时,粒径范围在5～10 μm下的煤矸石颗粒,对标准稠度用水量影响最大。     

磺化聚芳醚酮酮催化合成顺丁烯二酸二丁酯

以交联的聚芳醚酮酮和20％发烟硫酸合成了磺化聚芳醚酮酮树脂，并用于顺丁烯二酸酐和正丁醇的催化酯化，最佳条件：醇：酐为2．5：1（物质的量比）；催化剂用量为2．5g，反应温度140－150℃，反应时间7h ，酯化率96．4％。气相色谱分析结果：顺丁烯二酸二丁酯的含量达99．96％，催化剂易回收且可重复使用。     

可双固化树枝形聚酰胺-胺树脂的合成及其涂膜性能研究

探讨了以乙二胺与丙烯酸甲酯交替反应，制备了1．5，2．5代树枝形聚酰胺一胺树脂（PAMAM），对其用甲基丙烯酸缩水甘油酯（GMA）和γ-氨丙基三乙氧基硅烷进行了改性，使其能够紫外光固化和潮气固化。热分析考查了玻璃化温度和热稳定性，并进行了硬度、光泽、光固化速度、潮气固化速度、附着力、柔韧性等测试。     

3D Shape Segmentation and Labeling via Extreme Learning Machine

We propose a fast method for 3D shape segmentation and labeling via Extreme Learning Machine (ELM). Given a set of example shapes with labeled segmentation, we train an ELM classifier and use it to produce initial segmentation for test shapes. Based on the initial segmentation, we compute the final smooth segmentation through a graph‐cut optimization constrained by the super‐face boundaries obtained by over‐segmentation and the active contours computed from ELM segmentation. Experimental results show that our method achieves comparable results against the state‐of‐the‐arts, but reduces the training time by approximately two orders of magnitude, both for face‐level and super‐face‐level, making it scale well for large datasets. Based on such notable improvement, we demonstrate the application of our method for fast online sequential learning for 3D shape segmentation at face level, as well as realtime sequential learning at super‐face level.