Utilization of pyrolytic oil and hydrogen enriched syngas from single feedstock (delonix regia) through pyrolysis process and its influence on performance and emission characteristics in CI engine

The main objective of the present investigation is to conduct the performance, combustion and emission analysis of CI engine operated using hydrogen enriched syngas (pyrolytic gas) and biodiesel (pyrolytic oil) as dual fuel mode condition. Both the pyrolytic oil and syngas is obtained from single feedstock delonix regia fruit pod through pyrolysis process and then pyrolytic oil is converted into biodiesel through esterification. Initially biomass is subjected to thermal degradation at various pyrolysis temperature ranges like 350–600 °C. During the pyrolysis process syngas, pyrolytic oil and char are produced. The syngas is directly used in the CI engine and pyrolytic oil is converted into biodiesel and then used in the CI engine. The pyrolytic oil and syngas is subjected to FTIR and GC/TCD analysis respectively. The syngas analysis confirms the presence of various gases like H₂, CH₄, CO₂, CO and C₂H₄ in different proportions. The various proportions of the syngas is mainly depending upon the reactor temperature and moisture content in the biomass. The syngas composition varies with increase in the temperature and at 400 °C, higher amount of hydrogen is present and its composition are H₂ 28.2%, CO is 21.9%, CH₄ is 39.1% and other gases in smaller amounts. The biodiesel of B20 and syngas of 8lpm produced from the same feedstock are considered as test sample fuels in the CI engine under dual fuel mode operation to study the performance and emission characteristics. The study reveals that BTE has slight increase than diesel of 1.5% at maximum load. On the another hand emission like CO, HC and smoke are reduced by 15%,25% and 32% respectively at full load condition, whereas NO_x emission is increased at all loads in the range of 10–15%. Therefore B20+syngas of 8lpm can be used as an alternative fuel in CI engine without any modification and major products from pyrolysis process with waste biomass is fully used as fuel in the CI engine.     

Experimental study of crystal anisotropy based on ultra-precision cylindrical turning of single-crystal calcium fluoride

To realize ultimately efficient signal processing, it is necessary to replace electrical signal processing circuits with optical ones. The optical micro-resonator, which localizes light at a certain spot, is an essential component in optical signal processing. Single-crystal calcium fluoride (CaF₂) is the most suitable material for a highly efficient optical micro-resonator. The CaF₂ resonator can only be manufactured by ultra-precision machining processes, because its crystal anisotropy does not allow the application of chemical etching. However, the optical micro-resonator's performance depends definitely on the surface integrity.This study investigated the relationship between surface quality after ultra-precision machining and crystal anisotropy. Firstly, crack initiation was investigated on the (1 0 0), (1 1 0), and (1 1 1) planes using the micro-Vickers hardness test. Secondly, brittle-ductile transition was investigated by orthogonal cutting tests. Finally, cutting performance of cylindrical turning was evaluated, which could be a suitable method for manufacturing the CaF₂ resonator. The most difficult point in cylindrical turning of CaF₂ is that the crystalline plane and cutting direction vary continuously. In order to manufacture the CaF₂ optical micro-resonator more efficiently, analysis was conducted on crack initiation and surface quality of all crystallographic orientations from the perspective of slip system and cleavage.     

冷轧平整机机前甩尾轧制工艺的开发与应用

本文介绍了柳钢冷轧板带厂1550 mm单机架平整机机前甩尾轧制的工艺。改进前轧制每卷钢卷生产效率低,钢卷成材率低,改进后生产效率、成材率明显提高,部分规格的钢卷能实现带尾剪切长度为零。     

A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price

Creating an intelligent system that can accurately predict stock price in a robust way has always been a subject of great interest for many investors and financial analysts. Predicting future trends of financial markets is more remarkable these days especially after the recent global financial crisis. So traders who access to a powerful engine for extracting helpful information throw raw data can meet the success. In this paper we propose a new intelligent model in a multi-agent framework called bat-neural network multi-agent system (BNNMAS) to predict stock price. The model performs in a four layer multi-agent framework to predict eight years of DAX stock price in quarterly periods. The capability of BNNMAS is evaluated by applying both on fundamental and technical DAX stock price data and comparing the outcomes with the results of other methods such as genetic algorithm neural network (GANN) and some standard models like generalized regression neural network (GRNN), etc. The model tested for predicting DAX stock price a period of time that global financial crisis was faced to economics. The results show that BNNMAS significantly performs accurate and reliable, so it can be considered as a suitable tool for predicting stock price specially in a long term periods.     

Influences of chip serration on micro-topography of machined surface in high-speed cutting

Saw-tooth chip changes from macroscopically continuous ribbon to separated segments with the increase of cutting speed. The aim of this study is to find the correlations between chip morphology and machined surface micro-topography at different chip serration stages encountered in high speed cutting. High strength alloy steel AerMet100 was employed in orthogonal cutting experiments to obtain chips at different serration stages and corresponding machined surfaces. The chips and machined surfaces obtained were then examined with optical microscope (OM), scanning electron microscope (SEM), and white light interferometer (WLI). The result shows that chip serration causes micro-waves on machined surface, which increases machined surface roughness. However, wave amplitudes (surface roughness) at different serration stages are different. The principal factor influencing wave amplitude is the thickness of the sawed segment (tooth) of saw-tooth chip. With cutting parameters in this study, surface roughness contributed by chip serration ranges from 0.39 μm to 1.85 μm. This may bring on serious problems in the case of trying to replace grinding with high-speed cutting in rough machining. Some suggestions have been proposed to control the chip serration-caused surface roughness in high-speed cutting based on the results of the current study.     

我国上市公司股票评级研究——财务结构模型分析法在股票市场中的应用

目前,我国股票市场上的股票评级尚处于探索阶段,评级时多采用专家法或历史法,而对于影响股票评级的各因素的确定以及因素间的相互作用缺乏定量分析。研究将结构模型应用到我国股票市场的股票评级中,建立关于我国股票评级的财务结构模型;分析各个因素对股票评级的影响;建立股票评级经验模式值。     

机械-射流破岩耦合特性研究

在现代旋转钻井破碎井底岩石中仍是以机械破岩为主，理论与实践证明，射流辅助破岩是提高钻井破岩效率的重要途径，但它们的耦合特性研究极少。文章基于渗流场与应力场的耦合理论分析，进行了机械与射流破岩耦合特性的实验研究。结果表明：射流压力和水楔作用对岩石渗流场、应力场具有重要作用，耦合作用比非耦合作用的破岩效率有较大幅度的提高。在实验条件下，砂岩的耦合作用提高破岩效率40％左右，灰岩的耦合作用提高破岩效率20％左右。     

油气吸收回收系统的研究及工业应用——(Ⅰ)中型试验及结果分析

在蒸发油气吸收回收技术小试研究的基础上，开发出常温常压吸收法油气回收中试装置，并利用已开发的吸收剂AbsFOV-97进行了中试试验。结果表明，当系统进料气、吸收剂AbsFOV-97、汽油的体积流量比为10．0：1．0：0．5、真空泵解吸压力小于13．3kPa时，系统回收率高达97％以上，高于设计指标，且回收汽油的质量满足使用要求。统计数据表明，油气回收系统进料气、尾气中平均油气摩尔质量分别为65．51、48．97g／mol，该值可为油品蒸发损耗及其控制技术的评价提供参考。     

FCC汽油光催化氧化脱硫的实验室研究

采用光催化氧化与液液萃取同时进行的方法，考察了光敏剂十六烷基三甲基溴化铵的用量、pH值、双氧水体积分数和反应时间对脱硫效果的影响。结果表明，在光源为主波长365nm的300W中压汞灯，双氧水体积分数为25％，FCC汽油与双氧水体积比为1：3，总体积为120mL，加入0．20g十六烷基三甲基溴化铵，以7000r／min高速均质5min，pH值为4，光照10h的实验条件下，FCC汽油脱硫率可达91．20％；脱硫后的双氧水及光敏剂可以重复使用，不会造成二次污染。     

FCC汽油叠合生产柴油的研究——(Ⅰ)叠合催化剂的研制

采用中孔γ-Al2O3为载体，以非贵金属Ni为活性金属组分，以金属Sn为助剂组分，制备了FCC汽油叠合生产柴油的催化剂。在实验室小型连续流动式固定床装置上，以FCC汽油为原料，考察了主活性金属负载量、助催化剂、催化剂制备条件对催化剂性能的影响。研究结果表明，在活性金属Ni质量分数为8％，助催化剂Sn质量分数为1％，浸渍时间6h，焙烧温度500℃，焙烧时间4h的条件下，制备的叠合催化剂的催化性能最好。并对催化剂进行了1500h的稳定性试验和再生性能考察，结果表明该叠合催化剂具有良好的稳定性和再生性能。