暖风机的可靠性分析与改进

本文介绍了我国出口室内加热器类产品中暖风机在型式试验过程中常见的安全问题,指出其普遍存在的不符合标准的条款和产生的原因,并提出了解决问题的技术途径和预防措施.     

沿海盐雾环境共轨系统适应可靠性试验方法研究

国内对于共轨系统盐雾环境适应可靠性研究很少,为了研究自主共轨系统对沿海盐雾环境的适应可靠性,分析研究国内外知名汽车企业汽车零部件的盐雾环境适应可靠性试验方法以及相关标准;确定了自主共轨系统盐雾环境适应可靠性试验方法,采用外部盐雾试验和燃油掺水杂质(含盐)试验方法;进行试验验证,结果表明我所自主共轨系统在沿海盐雾环境有较好的适应可靠性。     

整车空挡滑行阻力特征及应用研究

轻型车的道路滑行阻力是整车燃油经济性评价的重要和关健参数,其主要由风阻,轮脑阻力和传动系统阻力体现,经研究表明,采用相同的试验方法 ,不同的动力总成和传动系统集成状态,可分解得到滑行阻力各部分的特点,由于前轮剩车阻滞力和变速箱等多项阻力偏大,造成了各状态下的滑行阻力特征存在明显的差异,基于滑行阻力得到的最高车速和最大爬坡度和试验结果相近,基于滑行阻力的NEDC循环的总阻力MAP可用于分析相关性能。     

产品例行试验不宜使用远红外加热器加热

远红外加热是辐射加热,由于“波长匹配问题”等原因,容易造成被加热物体的温度不均、温度不准及无法控温等问题.因此在对产品进行例行试验时,加热箱(室)是不能用远红外加热器进行加热的.     

温度—高度试验用温度传感器的配置

适用于控制和(或)监视箱内环境温度的温度试验箱内温度传感器的配置,在许多环境试验规范中均作了简要叙述。按美国军用标准(MI——STD—810C)所述,温度传感器应配置在箱内或供给气流或返回气流的中心,并应防止加热器的辐射作用。     

含油污泥调剖技术研究及应用

从工艺成熟性和处理程度方面简述了化学热洗技术、热分解技术、焚烧处理技术、溶剂萃取技术、含油污泥调剖技术处理含油污泥的现状,并对几种工艺进行对比分析。探讨了含油污泥无害化处理的指标、处理流程工艺的优化、无害化处理的效果。通过分析含油污泥组成及粒径,进行了含油污泥复合堵剂性能试验及含油污泥冻胶体系性能试验,对含油污泥堵剂性能进行室内评价,并进行调剖现场试验,分析了措施效果,评价了经济效益情况,为油田含油污泥资源化利用提供参考。     

一种高压油管焊接质量评价方法

阐述了高压油管疲劳破坏的原理及危害,建立高压油管焊接质量评价力学模型,通过有限元分析技术对其许用位移输入进行计算,并结合应变测量技术,利用电动振动台,对高压油管焊接处的疲劳特性进行了试验验证。结果表明,此高压油管焊接质量评价方法是可行的,有限元分析技术和应变测量技术的结合使用,保证了试验的安全性和结果准确性,此外,利用电动振动台进行疲劳耐久试验,操作方便简单,成本相对较低,具有通用性。     

汽车整车自然暴露试验评价方法前期研究

主要介绍汽车整车自然暴露试验评价方法,基于整车厂长期进行汽车整车自然暴露试验,对整车进行表观检测、性能检查及其他项目检测,通过分析试验结果,归纳汽车内外饰件常见缺陷,按照失效程度和不同部件类型,为整车耐候性进行等级划分,建立整车系统化评价方法。     

组合式模拟油箱在燃油泵支架总成振动试验中的应用

对汽车燃油系统的重要零部件燃油泵支架总成设计的振动模拟油箱进行了介绍,通过对改进前定制式模拟油箱和改进后组合式模拟油箱的多项对比和实际案例引用得出结论,组合式模拟油箱优于定制式模拟油箱并完全符合燃油泵支架总成对振动试验的使用要求。     

规范和推广燃油清净剂是环境保护的必然趋势

文章分析了我国机动车迅速增长及城市环境状况的恶化，指出推广燃油清净剂，使用高质量标准的燃油是机动车减排和节能的有效途径。     

Modelling and Prediction of Diesel Engine Performance using Relevance Vector Machine

Diesel engines are being increasingly adopted by many car manufacturers today, yet no exact mathematical diesel engine model exists due to its highly nonlinear nature. In the current literature, black-box identification has been widely used for diesel engine modelling and many artificial neural network (ANN) based models have been developed. However, ANN has many drawbacks such as multiple local minima, user burden on selection of optimal network structure, large training data size, and over-fitting risk. To overcome these drawbacks, this article proposes to apply an emerging machine learning technique, relevance vector machine (RVM), to model and predict the diesel engine performance. The property of global optimal solution of RVM allows the model to be trained using only a few experimental data sets. In this study, the inputs of the model are engine speed, load, and cooling water temperature, while the output parameters are the brake-specific fuel consumption and the amount of exhaust emissions like nitrogen oxides and carbon dioxide. Experimental results show that the model accuracy is satisfactory even the training data is scarce. Moreover, the model accuracy is compared with that using typical ANN. Evaluation results also show that RVM is superior to typical ANN approach.     

Performance evaluation of Nahar oil–diesel blends in a single cylinder direct injection diesel engine

This study attempts to use plentiful available high oil content (67% of Nahar seed kernel) non-edible feedstock as a source for powering diesel engine. Various performance and emission characteristics of prepared Nahar oil–diesel blends (5%, 10%, 20%, 30%, and 40%) are analyzed in a single cylinder direct injection diesel engine at different load spectrum, in order to judge the optimum blend, which can be efficiently used in a diesel engine. 10% blending of Nahar oil with diesel fuel has shown a reduction in hydrocarbon and carbon monoxide emission by 8.64% and 8.34%, respectively. With the increase in blend concentration, the nitrogen oxide emission decreased considerably and smoke emission increased slightly. Further pressure crank angle and heat release rate analysis of 10% blending of Nahar oil with diesel confirms its smooth combustion inside the engine combustion chamber.     

An investigation of engine and fuel system performance in a diesel engine operating on waste cooking oil

Waste cooking oil (WCO) was experimentally examined to determine whether it can be used as an alternative fuel in a 3-cylinder, 4-stroke, direct injection, 48 kW power tractor engine. The test engine was operated under full load conditions using diesel fuel and waste vegetable oil from the 2400 to 1100 rpm and performance values were recorded. Tests were performed in two stages to evaluate the effect of the waste oils on the engine life cycle. When the test engine was operated with diesel fuel and waste cooking oil; engine torque decreased between at ratio of 0.09 % and 3% according to the engine speed. While no significant difference occurs in the diesel fuel tests at the end of 100 hours of operation, an important reduction was observed in the engine torque of the WCO engine between 4.21% and 14.48% according to the engine speed, and an increase in average smoke opacity ratio was also observed. In accordance with the results obtained from the studies, it was determined that the engine performance values of waste cooking oil show similar properties with diesel fuel, but in long-term usage, performance losses increased. In the SEM analysis performed on the fuel system, there were dark deposits at the nozzle tip and stem. According to an EDX analysis at the nozzle tips, the detected elements point to engine oil ash in the combustion chamber and show coking products (C and O). The other elements (Na, S, Ca, P, Cl, and K) point to used WCO.     

Factorial analysis of diesel engine performance using different types of biofuels

In this study, several bio-source-fuels like fresh and waste vegetable oil and waste animal fat were tested at different injector pressures (120, 140, 190, 210 bar) in a direct-injection, naturally aspirated, single-cylinder diesel engine with a design injection pressure of 190 bar. Using 2k factorial analysis, the effect of injection pressure (Pi) and fuel type on three engine parameters, namely, combustion efficiency (etac), mass fuel consumption (mf), and engine speed (N) was examined. It was found that Pi and fuel type significantly affected both etac and mf while they had a slight effect on engine speed. Moreover, with diesel and biodiesels, the etac increased to a maximum at 190 bar but declined at the higher Pi value. In contrast, higher Pi had a favorable effect on etac over the whole Pi range with all the other more viscous fuels tested. In addition, the mass fuel consumption consistently decreased with an increase in Pi for all the fuels including the baseline diesel fuel, with which the engine consistently attained higher etac and higher rpm compared to all the other fuels tested.     

Experimental investigation of performance and emission characteristics of diesel engine using Jatropha biodiesel with alumina nanoparticles

Biodiesels have come up as a very strong alternative for diesel fuel. Biodiesels such as Jatropha Oil Methyl Ester (JOME) are comparable in performance with that of the diesel engine. The thermal efficiency of engines fuelled with biodiesels was found lower than conventional diesel fuel but due to the bio-origin, the emission characteristics are much better. However, biodiesel increases the NOx emissions as these are rich in oxygen, hence nanoparticles are used in this experiment to curb the high temperatures and reduce the NOx formation. The experiment on naturally aspired diesel engine was conducted with four prepared test fuels other than neat diesel and neat biodiesel. The 50 and 150 of alumina nanoparticles were added separately to the pure diesel and pure Jatropha biodiesel to form the nano emulsions using ultrasonicator. The properties of nanoemulsion were evaluated using dynamic light scattering technique using zetasizer. The performance and emission characteristics of multi-cylinder diesel engine with these nanoemulsions were compared with that of neat fuels. The results showed that using nanoparticles with diesel and biodiesel can contribute in a more efficient, economical, and eco-friendly engine operation.     

Performance of a diesel engine with water emulsified diesel prepared with optimized process parameters

An attempt has been made to produce stable water–diesel emulsion with optimal formulation and process parameters and to evaluate the performance and emission characteristics of diesel engine using this stable water–diesel emulsion. A total of 54 samples were prepared with varying water/diesel ratio, surfactant amount and stirring speed and water separation was recorded after 24 and 48 hr of emulsification. The recorded data were used in artificial neural network (ANN)-particle swarm optimization (PSO) technique to find the optimal parameters to produce water–diesel emulsion for engine testing. The predicted optimal parameters were found as 20% water to diesel ratio, 0.9% surfactant and 2200 rpm of stirrer for a water separation of 14.33% in one day with a variation of 6.54% against the actual value of water separation. Water–diesel emulsion fuel exhibited similar fuel properties as base fuel. The peak cylinder gas pressure, peak pressure rise rate and peak heat release rate for water–diesel were found higher as compared to diesel at medium to full engine loads. The improved air-fuel mixing in water–diesel emulsion enhanced brake thermal efficiency (BTE) of engine. The absorption of heat by water droplets present in water–diesel emulsion led to reduced exhaust gas temperature (EGT). With water–diesel emulsion fuel, the mean carbon monoxide (CO), unburned hydrocarbon and oxides of nitrogen (NO_x) emissions reduced by 8.80, 39.60, and 26.11%, respectively as compared to diesel.     

钻井废物综合治理技术的应用

针对急需解决的钻井废水、废气治理问题,以钻井作业大功率柴油机废气余热回收利用为出发点,研制了钻井废水废气综合治理设备。通过现场试验对钻井废水、废气治理效果及噪声影响的分析,试验结果表明,日处理钻井废水可达11～13m3/d,柴油机废气中污染物排放有一定程度的降低,柴油机高频噪声得到较明显降低,并有利于增加柴油机扭距。     

Experimental investigation on engine performances,combustion characteristics and emission of exhaust gases of VCR engine fuelled with cottonseed oil methyl ester blended with diesel

This research work investigates the engine performances, combustion characteristics, and emission of exhaust gases of variable compression ratio engine fuelled with cottonseed oil methyl ester (COME) and diesel at different blends. The analysis showed that heat release rate and cylinder pressure is higher for diesel than COME blends. Higher BTE is obtained at the maximum load condition. The higher BTE and lower SFC are obtained for blend B15 as 42.17% and 0.2 kg/kW-hr at brake mean effective pressure (BMEP) of 4.64 bar. Also it is found that the peak cylinder gas pressure and combustion duration increases when the BMEP increases. At the BMEP of 3.51 bar, higher HRR is observed as 18.12 J/deg. Increase in HRR is obtained as 6.07% for B30 at BMEP of 4.64 bar when compared to diesel. Ignition delay decreased by 13.16% for B100, by the increment of blend proportions when compared to diesel, at BMEP of 4.64 bar. Lower smoke, HC and CO emissions are observed when increasing the blend proportions, whereas the nitric oxide emissions increases due to the better combustion resulted in higher temperatures. At BMEP of 4.64 bar, the CO emissions are reduced to 25.24% for neat biodiesel when compared with the diesel.     

Experimental investigations on direct injection diesel engines using grape seed oil methyl ester with different bowl geometries

In this paper, the performance of direct injection diesel engine was experimentally investigated under the influence of two different pistons’s geometry deep bowl combustion chamber (DBCC) and toroidal combustion chamber (TCC) compared with standard piston combustion chamber (SPCC) geometry. The experiments were carried out standard atmospheric conditions of 1.01325 bar and 30 ± 2 °C. The piston bowl was designed and developed without modifying the compression ratio of the engine. The investigations were carried out with B25 (25% GOME + 75% diesel), B50 (50% GOME + 50% diesel), B75 (75% GOME +25% diesel) and B100 (100% GOME) by volume blends for three different bowl geometries. The thermogravimetric analysis (TGA) was given the importance of higher in-cylinder temperature for the mass change of GOME leads to a more premixed phase of combustion. The results showed that DBCC has better combustion characteristics when compared with SPCC and TCC for all the blends. The B25 and B50 blends showed good combustion characteristics with DBCC and SPCC individually. While TCC showed average engine characteristics for all the blends categorically, the brake thermal efficiency for B25 blend confirmed a 4.7% higher than SPCC-diesel with DBCC piston, and the smoke, CO (Carbon monoxide), and HC (Hydrocarbon) are reduced by 9.2%, 30.7%, and 4.6%, respectively. Thus, the B25 blend in a DBCC piston engine was observed to be the distinction than other configurations. The results confirmed that the DBCC is a good option for B25 blend.     

Effective application of ethanol in diesel engines

This work aimed to prove the effects of adding different proportions of ethanol with diesel (DE) and ethanol–water mixture with diesel (DEW) in a single-cylinder diesel engine on the performance, emissions, and combustion parameters. The blends were stabilized by tetra methyl ammonium bromide (TMAB) as the additive. The study was conducted at two operating conditions initially on a normal diesel engine and in the second case the engine piston, valves, and cylinder head coated with zirconia (ZrO₂) alumina (Al₂O₃). The results showed that the addition of 10% ethanol with diesel performed almost equivalent to neat diesel with 29.2% BTE and a 17.7% decrease in smoke and an 11.4% increase in NOx emission at peak load compared to that of the base fuel. Modified engines with thermal barrier coating (TBC) performed superior to normal engines with 4% and 5.5% increase in BTE, respectively, for DE- and DEW-type fuels with reduced exhaust emissions. A 5% addition of water with diesel–ethanol blends favors a higher proportion of ethanol to be employed in diesel engines.