Optimization of gasoline hydrocarbon compositions for reducing exhaust emissions

Effects of hydrocarbon compositions on raw exhaust emissions and combustion processes were studied on an engine test bench. The optimization of gasoline hydrocarbon composition was discussed. As olefins content increased from 10.0% to 25.0% in volume, the combustion duration was shortened by about 2 degree crank angle ( CA), and the engine-out THC emission was reduced by about 15%. On the other hand, as aromatics content changed from 35.0% to 45.0%, the engine-out NOx emissions increased by 4%. An increment in olefins content resulted in a slight increase in engine-out CO emission, while the aromatics content had little e ect on engine-out total hydrocarbon (THC) and CO emissions. Over the new European driving cycle (NEDC), the THC, NOx and CO emissions of fuel with 25.0% olefins and 35.0% aromatics were about 45%, 21% and 19% lower than those of fuel with 10.0% olefins and 40.0% aromatics, respectively. The optimized gasoline compositions for new engines and new vehicles have low aromatics and high olefins contents.     

两级SBR工艺去除磷、氮及有机物效能分析

以模拟生活污水为处理对象,在常温条件下,采用对比试验与机制分析方法,研究了两级SBR工艺分级除磷、去除有机物及脱氮的特性,分析了工艺的效能优势.结果表明,通过控制泥龄(除磷级5~7 d,脱氮级约50 d),可以将异养的PAOs与硝化菌分别控制在2个反应器中优势生长,在出水水质更优的情况下,系统的处理效率可比单级SBR提高1倍以上;两级SBR系统可以有效地缓解有机负荷对硝化过程的冲击影响,在进水COD浓度较高的情况下,能够保持其脱氮级(SBS2)具有稳定的硝化速率,且系统的最终出水可以容易并稳定地达到TP≤0.5 mg.L-1的国家标准;另外,两级SBR的脱氮级(SBS2)除具有优势的硝化菌种外,还能培养出适合降解难降解有机物的异养菌,使其好氧硝化结束时COD浓度较单级SBR系统更低.     

基于响应面优化条件下柚皮对Pb2+的吸附

采用Plackett-Burman(P-B)法和中心复合设计(Central Composite Design,简称CCD)对影响柚皮吸附Pb2+的6个条件进行筛选优化.P-B实验设计与统计学分析表明:pH值、Pb2+初始浓度、吸附剂用量是影响吸附率的3个关键因素.以吸附率为响应目标,对3因素进行中心复合设计,并经响应面法优化分析得到影响吸附率的二阶模型,确定了Pb2+吸附实验的最优操作条件:pH值5.4.Pb2+初始浓度为265.86mg·L-1,吸附剂用量为2.56 g·L-1,实测吸附率达到92.47%,吸附量为96.01 mg·g-1;整个吸附过程吸附剂柚皮没有经过任何化学预处理.效果优于一般的天然吸附剂.研究结果表明,柚皮是一种很具潜力的环保型廉价吸附剂.     

Application of response surface methodology for the optimization of biodiesel production from yellow mustard (Sinapis alba L.) seed oil

In the present study, response surface methodology (RSM) involving central composite design (CCD) was applied to optimize the reaction parameters of biodiesel production from yellow mustard (Sinapis alba L.) seed oil during the single-step transesterification process. A total of 30 experiments were designed and performed to determine under the effects of variables on the biodiesel yield such as methanol to oil molar ratio (2:1–10:1), catalyst concentration (0.2–1.0 wt.% NaOH), reaction temperature (50–70°C), and reaction time (30–90 min). The second order polynomial model was used to predict the biodiesel yield and coefficient of determination (R²) was found to be at 0.9818. The optimum biodiesel yield was calculated as 96.695% from the model with the following reaction conditions: 7.41:1 of methanol to oil molar ratio, 0.63 wt. % NaOH of catalyst concentration, 61.84°C of reaction temperature, and 62.12 min of reaction time. It is seen that the regression model results were in agreement with the experimental data. The results showed that RSM is a suitable statistical technique for optimizing the reaction parameters in the transesterification process in order to maximize the biodiesel yield.     

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.     

基于最小能量原理的平衡图调节法在矿井通风系统优化中的应用

根据最小能量原理,采用平衡图调节法解决矿井通风网络中风压不平衡的问题,建立矿井通风网络优化模型。根据矿山基本情况和平衡图原理绘制出通风网络"平衡图",采用不同的变换方法使得"平衡图"真正达到平衡,进而得出不同的优化调节方案,并进行风压平衡的验证。应用最小能量原理选出能耗最低的调节方案。并且,运用基于最小能量原理的平衡图调节法解决了矿山的实际问题,结果表明,运用该方法能形象直观地反映出风量、风压及功率之间的关系,在解决通风网络中风压不平衡问题的同时,既形象直观,又使得经济费用最低,保证矿山安全高效生产。     

An energy-absorbing sliding seat for reducing neck injury risks in rear impact—analysis for prototype built

Objective: This study investigated overall performance of an energy-absorbing sliding seat concept for whiplash neck injury prevention. The sliding seat allows its seat pan to slide backward for some distance under certain restraint force to absorb crash energy in rear impacts.

Methods: A numerical model that consisted of vehicle interior, seat, seat belt, and BioRID II dummy was built in MADYMO to evaluate whiplash neck injury in rear impact. A parametric study of the effects of sliding seat parameters, including position and cushion stiffness of head restraint, seatback cushion stiffness, recliner characteristics, and especially sliding energy-absorbing (EA) restraint force, on neck injury criteria was conducted in order to compare the effectiveness of the sliding seat concept with that of other existing anti-whiplash mechanisms. Optimal sliding seat design configurations in rear crashes of different severities were obtained. A sliding seat prototype with bending of a steel strip as an EA mechanism was fabricated and tested in a sled test environment to validate the concept. The performance of the sliding seat under frontal and rollover impacts was checked to make sure the sliding mechanism did not result in any negative effects.

Results: The protective effect of the sliding seat with EA restraint force is comparable to that of head restraint–based and recliner stiffness–based anti-whiplash mechanisms. EA restraint force levels of 3 kN in rear impacts of low and medium severities and 6 kN in impacts of high severity were obtained from optimization. In frontal collision and rollover, compared to the nonsliding seat, the sliding seat does not result in any negative effects on occupant protection. The sled test results of the sliding seat prototype have shown the effectiveness of the concept for reducing neck injury risks.

Conclusion: As a countermeasure, the sliding seat with appropriate restraint forces can significantly reduce whiplash neck injury risk in rear impacts of low, medium, and high severities with no negative effects on other crash load cases.     

响应曲面法优化镍转炉渣氧压选择性浸出工艺

为了优化镍转炉渣加压条件下H₂SO₄选择性浸出Co、Ni、Cu,抑制Fe浸出的工艺,采用响应曲面法的中心组合设计原理,建立影响选择性浸出率的二次多项式数学模型,研究浸出温度、c(H₂SO₄)及液固比及上述因素两两交互作用对提高Co、Ni、Cu浸出率及减少Fe浸出率的影响规律. 结果表明:浸出温度和c(H₂SO₄)对浸出率影响最显著,液固比次之. c(H₂SO₄)越高,Co、Ni、Cu和Fe的浸出率越高,而提高浸出温度有利于降低Fe浸出率. 响应曲面法优化获得的最佳工艺条件:浸出温度为210 ℃、c(H₂SO₄)为0.38 mol/L、液固比为4.25 mL/g,在该条件下,Co和Ni的浸出率均大于98%,Cu浸出率大于96%,Fe浸出率小于0.4%. 浸出控制参数优化后提高了有价金属的浸出率,同时也降低了Fe浸出率,实现了镍转炉渣中有价金属的回收及其与Fe的高效分离.      

基于节约法的村镇生活垃圾收运路线优化研究

为了降低垃圾收运成本,减少垃圾收运过程产生的环境和社会影响,对含有多种级别道路的村镇生活垃圾收运路线进行了优化。综合考虑垃圾收运过程的运输距离、路况、环境污染等因素,利用层次分析法确定了不同级别道路的综合权重,并对实际运输距离进行修正,得到综合运输距离。以节约综合运输距离为目标,使用节约法对收运路线进行优化,得出了节约路程多、发生拥堵少、环境污染小的村镇生活垃圾收运路线。并以蒙城县岳坊镇为例,对该地区的垃圾收运路线进行优化设计,验证了方法的可行性。     

Determining the robust optimal set of BMPs for urban runoff management in data-poor catchments

Mismanagement of urban runoff can result in inundation which causes serious problems in providing urban services. Best management practices (BMPs) are used for urban runoff management. In this study, a method is proposed to determine the robust optimal set of BMPs for runoff management in data-poor catchments in urban areas. This method includes five main steps: (1) Sensitivity analysis to determine effective parameters in rainfall-runoff simulation model, (2) Calibration of the rainfall-runoff model based on selected effective parameters, (3) Developing a multi-objective optimization model to obtain the optimal sets of BMPs, (4) Selecting the final solutions using the Nash approach for ranking, (5) Evaluation of the robustness of the selected solution using the Management Option Rank Equivalence method. The proposed method is examined in an urban basin located in the north of Tehran, Iran. The results show that the proposed approach provides reliable results for urban runoff management in data-poor areas.