Effects of gasoline, diesel, LPG, and low-carbon fuels and various certification modes on nanoparticle emission characteristics in light-duty vehicles

This study was focused on experimental comparisons of the effects of various vehicle certification modes on particle emission characteristics of light-duty vehicles with gasoline, diesel, LPG, and low-carbon fuels such as bio-diesel, bioethanol, and compressed natural gas, respectively. The particulate matter from various fueled vehicles was analyzed with the golden particle measurement system recommended by the particle measurement programme, which consists of CVS, a particle number counter, and particle number diluters. To verify particle number and size distribution characteristics, various vehicle emission certification modes such as NEDC, FTP-75, and HWFET were compared to evaluate particle formation with both CPC and DMS500. The formation of particles was highly dependent on vehicle speed and load conditions for each mode. In particular, the particle numbers of conventional fuels and low-carbon fuels sharply increased during cold start, fast transient acceleration, and high-load operation phases of the vehicle emission tests. A diesel vehicle fitted with a particulate filter showed substantial reduction of particulate matter with a number concentration equivalent to gasoline and LPG fuel. Moreover, bio-fuels and natural gas have the potential to reduce the particulate emissions with the help of clean combustion and low-carbon fuel quality compared to non-DPF diesel-fueled vehicles.     

Empirical modeling of a polymer electrolyte fuel cell based on water transport investigation and current interrupt measurement

Water management is an important factor in the optimal performance of a polymer electrolyte fuel cell (PEFC). In this paper, a PEFC model that facilitates the control of PEFC membrane humidity is presented. An efficient modeling procedure using a combination of mathematical and experimental techniques is proposed. A simple mathematical structure for the model is adopted, and experiments to measure PEFC irreversibilities and net water transport across the membrane electrode assembly (MEA) are performed. The developed PEFC model effectively quantifies the irreversibilities in the PEFC output voltage and clarifies the relationship between PEFC performance and steady state water transport through the MEA. The proposed modeling procedure can effectively save time and cost during the controller / control algorithm design phase in PEFC system development.     

大跨悬索桥箱形钢桁架梁的综合疲劳评定方法研究

根据大跨桥梁铜箱梁各类构件的受力特点建立了确定钢箱梁关键疲劳构件的评价模型,提出了基于结构有限元分析、应变监测信息、构件分级系统和桥梁结构人工检测等多方面信息综合评定关键疲劳构件的方法。以某大跨悬索桥钢箱梁结构为例,结合结构有限元数值计算和结构健康监测系统确定的关键钢箱梁截面,针对关键截面上的主要构件分布,利用应变传感器输出信息、结构有限元分析得到的应力分布信息、人工检测信息和桥梁主要构件的危险等级和易损等级信息,结合层次分析法和模糊综合评判理论确定了影响钢桥构件疲劳评定的各因素的权重,用综合隶属度评分法进行关键疲劳构件的等级评定。     

Vehicle modeling with nonlinear tires for vehicle stability analysis

The dynamic stability of a vehicle depends on various maneuvering features, such as traction, braking, and cornering. This study presents nonlinear vehicle models for estimating the stability region and simulating the dynamic behavior of a vehicle. Two types of vehicle models were found by considering the degrees of freedom and linearity. A simple model with nonlinear tire dynamics is useful for determining the stability region, while a complex model (a multi-body dynamic model in MSC.ADAMS) is appropriate for carrying out accurate simulations. Actual data for a mid-sized passenger car were used, and the models were validated by comparison with test results.     

Modeling and verification of heavy-duty truck drivers’ car-following characteristics

In order to capture drivers’ car-following characteristics and apply this information to the design of an Adaptive Cruise Control algorithm, this paper builds a driver car-following model with vehicle speed-dependent control gains. Proposed for use with heavy-duty truck drivers, we introduced the concept of driver sensitivity to tracking errors, identified driver’s sensitivity to tracking errors and analyzed quantitatively the relationship between control gain and vehicle speed. To model the driver characteristics precisely and concisely, a SVE/SDE (Sensitivity to Velocity Error/Sensitivity to Distance Error) based linear car-following model was built and a nonlinear optimization algorithm was adopted to identify the model parameters. When validating the model accurancy, we proposed a comparative verification method based on hypothesis-testing theory here to reduce the influence of randomicity in the drivers’ manipulation. The modeling and verification indicate that the proposed car-following model is superior to the tranditional linear car-following model, but its structure still approximates linear, which implies it is applicable for the design of a vehicular following controller.     

Assessment of an engine cylinder head-block joint using finite element analysis

An engine cylinder head-block joint is a gasketed, bolted joint. Assessment of sealing performance and fatigue durability of the joint during engine development relies entirely on the engine dynamometer test because the rig test cannot mimic the engine run condition and finite element analysis employs gasket and bolt models that are too simple to provide the stress data for fatigue assessment. This paper introduces finite element-based assessment of the gasket and the bolt and a model that improves the analysis accuracy without increasing computation time. Experimental data for the deformation of joint members under thermo-mehanical load are presented to demonstrate the accuracy of the model.     

Simulation of HCCI combustion with spatial inhomogeneities via a locally deterministic approach

There has been recent interest in a new engine type, Homogeneous Charge Compression Ignition (HCCI), to combine the advantages of SI and CI engines. In this paper, a locally deterministic approach is employed to consider spatial inhomogeneities using the KIVA-CHEMKIN package. Validation is performed for two experimental HCCI engines fueled, respectively, by hydrogen and n-heptane. The full mechanism for hydrogen and a skeletal mechanism for n-heptane are used for combustion chemistry. Differences in the reaction flow paths are shown at ignition and the heat release reaction stages of the two fuels. Results show good agreement between measured and calculated pressures for different initial mixture temperatures with estimated residual fractions. A parametric study is performed in both engines to consider the influences of the physical parameters wall temperature, swirl ratio and global equivalence ratio. The ignition time of n-heptane is shown to be relatively insensitive to variations in these parametric due to its two-stage ignition behavior.     

Computer Aided Simulation on Precision Cold Forging of Universal Joint Cross

IntroductionThefiwtee1emenmethod(FEM)playsanextrmelyimPortantroleintheanalysesofengineeringproblems.ForalongtimethismethodhasmainlybeenaPPliedinthelinearfieldandshownitsgreatpower.HoweveealOtofnonlinearengineeringPrOblemsWhichcanneitherbesimPlyreducedtolinearonesnorrCPresentedbylinearlyanalogywhichshallchnsethePfacticalconditionsrelativelymuch,havechallengedfiniteelementmethod(FEM).RecentymuchProgresshasbeenmadebothinthemathematicalandmechanicaltheoryandthecomPulertechnologysothatevent…     

A decentralized control strategy for freeway regulation

A multilevel decentralized control scheme, the cascading technique, with application to the regulation of traffic on an urban freeway is presented. Performance of the decentralized system is compared to the performance of a centralized and a fixed time control structure. It is shown that the decentralized structure performs better than the centralized structure when incidents (lane closures) occur on the freeway. The freeway is modeled in terms of the aggregate variables section density and section speed, and is considered as a system of interconnected subsystems.     

The price-volume relationship in the sale and purchase market for dry bulk vessels

This paper investigates, for the first time, the relationship between prices and trading activity in a market where real assets are traded, i.e. in the sale and purchase market for second-hand dry bulk vessels. Investigation of this issue is of interest since the level of trading activity may contain information about the sentiment and the future direction of the prices in the market. Several important conclusions emerge from this analysis. It is found that price changes are useful in predicting trading volume, which suggests that higher capital gains encourage more transactions in the market. Additionally, it seems that volume has a negative impact on the volatility of price changes. More specifically, in contrast to what is reported for financial markets, we find evidence that, in the market for ships, increases in trading activity lead to a reduction in market volatility. This can be explained by the unique underlying characteristics of the market for ships, including thin trading, which imply that increases in trading activity result in price transparency and stability. These findings indicate that practitioners in the market may use the information contained in the level of trading activity so as to guide their market decisions in the sale and purchase market.