基于正交试验的加工过程伺服系统参数优选

针对加工过程伺服系统参数优选问题,提出一种基于正交试验的伺服系统参数优选方法。在分析、建立加工过程模型的基础上,选取伺服系统参数优选正交试验的因素与水平、指标,进而搭建伺服系统仿真平台并进行仿真试验,通过数据分析、参数优选得到伺服系统的最优参数,以改善系统动态性能和稳定性能。结果表明:对于n=600 r/min、Kn=1 mm/(V·s)、Ks=1670 N/mm2、Ke=2 mm、p=1的加工系统,其伺服系统的最优参数是指数m=0.6、阻尼系数ζ=0.8、自然频率ωn=30 rad/s。     

红外吸收法测硅铁中的超低硫

应用高频红外碳硫仪,建立了硅铁合金中超低硫测定方法,对选择适当的测定条件如助熔剂、分析时间等进行了探讨,最佳测定条件:最大工作电流为400～480 mA;载气纯度为99.99%;陶瓷坩埚需经1 100℃灼烧2 h后,可使空白降至最小;硫元素最短分析时间为40 s,比较水平为5.00.     

Calculation of single adsorption isotherms from gravimetrically measured binary gas mixture adsorption isotherms on activated carbon at high pressures

A method is developed for the calculation of single-component adsorption isotherms from gravimetrically measured binary gas mixture adsorption isotherms at high pressures, at two temperatures and for different mole fractions of the gas phase. The adsorption of nitrogen/methane on active carbon Norit R1 is taken as an experimental example.     

快速高吸油性丙烯酸酯树脂的合成研究

以丙烯酸丁酯与甲基丙烯酸甲酯为共聚单体，在聚合体系中引入致孔剂和大分子增容剂，采用悬浮聚合法合成了快速高吸油性树脂，考察了致孔剂用量、增容剂用量、乙酸乙酯／异戊醇混合致孔剂质量比等对高吸油性树脂吸油性能的影响。结果表明：通过引入致孔剂乙酸乙酯，不仅使树脂对甲苯和汽油的吸油率分别达到了3300％和1000％，而且吸油速度加快，2h内可达到饱和吸油；在致孔的基础上引入增容剂，可使树脂对汽油的吸收率显著提高，达到了1500％。     

聚丙烯工程化研究

采用纳米填充、交联和转晶的复合技术对聚丙烯进行了改性，优选了纳米碳酸钙为填料。当β成核剂用量为0．5％、助交联剂为3％时，复合材料的综合性能达到最好，接近普通工程塑料的各项力学性能。红外光谱分析和熔体质量流动速率的测定表明，复合材料体系产生了微交联；DSC分析发现，PP材料的聚集态结构中含有β球晶。     

基于ZYNQ飞艇囊体应变在线监测系统设计

针对当前高空飞艇囊体的应变实时测量装置无法同时具备体积小和实时测量的工作属性,创新性地用光学器件和感光元件配合,对工作中飞艇囊体两个固定点的相对位移量进行测量,提出了一种能够在线监测飞艇囊体应变的测量装置,能够实现应变在线测量且测量精度高;采用TCD1500C电荷耦合器件作为数据来源;主芯片采用ZYNQ处理器,ZYNQ能够具备FPGA的并行处理能力和Cortex的数据调度能力,能够处理CCD高速数据;通过自定义IP核,使用PS端与PL端互联AXI协议,实现了高速、大量数据传输;为了得到应变信号,采用了将应变信号转化为位移信号进行采集的方法,之后将位移信号采集存储至SD卡中并周期性显示到上位机上,实现地面对飞艇囊体应变的实时监控;实现了飞艇囊体应变的实时测量并把测量精度提高至0.1％.     

Wear mechanisms of PcBN tools when machining AISI 316L

This paper investigates the machinability of AISI 316L stainless steel without and with NMI treatment, when machined with three different PcBN tool grades: low cBN content (50% vol.), medium (65% vol.) and high (90% vol.). The NMI treatment consisted of resulfurized and Ca-treated steels with two different Si/Al ratio. The tool materials were evaluated in terms of tool life, showing the best performance for the medium cBN content grade. Results showed that the crater wear has a more significant effect on the tool performance than the standard wear criteria of maximum flank wear. The worn tools were examined using scanning electron microscopy (SEM), focused ion beam (FIB) and transmission electron microscopy (TEM). In most cases, the crater exhibited three distinct regions from the edge to the end of the contact zone: the plateau, middle crater, and the upper region. Plateau and crater region displayed tool protective layer (TPL), consisting mostly of Al, Si, Mg and Ca-oxides; and some dimples in the tool from preferential wear of cBN grains. In the upper region of the best performing material, a ~1.5 μm thick TPL of mostly MnCr₂O₄ spinel was found, a result of the transfer of Mn- and Cr-rich oxide NMIs found in this material or oxidation of workpiece material, during the machining process.     

高精度冷轧不锈钢管生产

介绍了用ＬＤ型冷轧管机生产高精度冷轧不锈钢管的经验和质量保证措施。     

Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations

Due to the complexity of the machine tool structure and the cutting process, the dynamics of machining processes are still not completely understood. This is especially true due to the demand of high-speed machining to increase productivity. In order to model and control these complex processes, new approaches, which can represent complex phenomenon combined with learning ability, are needed. The combined neural–fuzzy approach appears to be ideally suited for this purpose. In this paper, the recently developed fuzzy adaptive network (FAN) is used to model surface roughness in turning operations. The FAN network has both the learning ability of neural network and linguistic representation of complex, not well-understood, vague phenomenon. Furthermore, it can continuously improve the initially obtained rough model based on the daily operating data. To illustrate this approach, a model representing the influences of machining parameters on surface roughness is established and then the model is verified by the use of the results of pilot experiments. Finally, a comparison with the results based on statistical regression is provided.     

High temperature corrosion mechanisms and effect of alloying elements for materials used in waste incineration environment

Corrosion products on two typical materials, SA213-T12 steel and alloy 625 exposed to the actual combustion gas, were analyzed in addition to laboratory tests for penetration of corrosive matter. It has been clarified that corrosion products of oxides containing a little chlorides and sulphides show lamellar structures and that at the alloy-scale interface, chlorination, sulphidation, and oxidation occur under a low P_O2-high P_Cl2 condition. The formation of scale structures and the effect of corrosion-resistant alloying elements can be explained according to the stability tendencies of metals, chlorides, and oxides in the M-Cl-O equilibrium diagrams. The severity of corrosion environments at the interface is influenced by the penetration extent of corrosive matters through deposits and scales, and the protective effects of oxide films derived from alloying elements play an important role in preventing the corrosion. On the other hand, it has been shown that thermal fluctuation characterized in this kind of environment makes the lamellar scale structures and sometimes breaks and peels off the scale, and thus accelerates the corrosion. On the basis of the above mentioned knowledge, a new corrosion model is presented.