Operator's and organizational maintenance manual : crane, wheel mounted, 20-ton at 10-foot radius, 2 engines, diesel engine driven, 4 x 4 air transportable, Harnischfeger Corp. model M320RT (NSN 3810-00-275-1167).

Includes indexes.

Organizational maintenance repair parts and special tools lists : crane, wheel mounted, 20-ton at 10-foot radius, 2 engines, diesel engine driven, 4 x 4 air transportable for Harnischfeger Corp. model M320RT (NSN 3810-00-275-1167).

Includes index.

Intermediate direct support and intermediate general support maintenance repair parts and special tools lists ... : crane, wheel mounted, 20 ton at 10 foot radius, 2 engines, diesel engine driven, 4x4, air transportable, phase III; w/blade, bulldozer, earth moving; w/block, tackle, 20 ton; w/boom, crane 30 foot, Army model M2380 ....

"November, 1988."

An investigation of gaseous and particulate emissions from compression ignition engines operated with alternative fuels, injection technologies, and combustion strategies

Whilst the compression ignition (CI) engine exhibits many design advantages relative to its spark ignition engine counterpart; such as: high thermal efficiency, fuel economy and low carbon monoxide and hydrocarbon emissions, the issue of Diesel Particulate Matter (DPM) emissions continues to be an unresolved problem for the CI engine. Primarily, this thesis investigates a range of DPM mitigation strategies such as alternative fuels, injection technologies and combustion strategies conducted with a view to determine their impact on the physico-chemical properties of DPM emissions, and consequently to shed light on their likely human health impacts. Regulated gaseous emissions, Nitric oxide (NO), Carbon monoxide (CO), and Hydrocarbons (HCs), were measured in all experimental campaigns, although the major focus in this research program was on particulate emissions...

Influence of the diesel fuel sulfur content on the formation of nanoparticles

In recent years fine and ultra fine particles emitted from internal combustion engines have attracted an increasing level of attention. This attention has arisen from epidemiological studies conducted by a number of research groups and pointing to the health effects resulting from inhalation of fine particles. Previous studies on the influence of fuel sulfur level on diesel vehicle emissions were mainly concentrated on particle mass emissions. This study aims at investigating the influence of the reduction of diesel fuel sulfur level on the emission and formation of nanoparticles

Desenvolvimento de metodologia para avaliação de hidrocarbonetos policíclicos aromáticos e derivados em emissões de motores usando diesel/biodiesel

Os hidrocarbonetos policíclicos aromáticos (HPA) são amplamente estudados na área de meio ambiente, em diversas matrizes ambientais como ar, água, solo e sedimento, devido a sua toxicidade, potencial mutagênico e carcinogênico. Por conta disto, as agências ambientais de países desenvolvidos listaram dezesseis HPA como sendo poluentes prioritários. As legislações a nível mundial não estipulam limites para estes compostos para ar ambiente, somente para emissões de fontes fixas e móveis e ambientes ocupacionais, mas existem diversos estudos, mais especificamente para os 16 prioritários HPA e muito pouco para os homólogos alquilados. Os HPA alquilados são mais abundantes, persistentes e frequentemente mais tóxicos que os não alquilados e a toxicidade aumenta com o número de substituições alquil sobre os núcleos aromáticos. As legislações ambientais em todo o mundo não realizam o controle em nenhuma matriz ambiental para os HPA alquilados. Neste trabalho foi desenvolvido um método para análise dos HPA e seus homólogos alquilados, utilizando cromatografia de fase gasosa acoplado a um detector de espectrometria de massa e com um sistema de injeção para grande volume, associado à vaporização com temperatura programada, que permitiu um nível de detecção na faixa de 0,70 até 103,6 ng mL-1, sendo possível analisar as amostras de material particulado oriundas de emissões veiculares. As amostras foram coletadas de acordo com a Norma ABNT NBR14489, em um dinamômetro de bancada para motor do ciclo diesel (Ciclo de 13 pontos). Os resultados encontrados foram na faixa de 0,5 ng mL-1 até 96,9 ng mL-1 Os resultados indicaram que motores a diesel/ biodiesel têm uma contribuição muito grande na formação destes HPA e homólogos alquilados

Quantificação de metais e arsênio em aerossóis grossos, finos, ultrafinos e nanoparticulados por ICP-OES em ar ambiente e emissões veiculares de motores operando com diesel/biodiesel

Na frota automotiva nacional, veículos movidos a diesel e biodiesel são utilizados em larga e pequena escala, respectivamente, fazendo com que haja uma preocupação com os gases da exaustão provenientes destes motores. Ao ser fabricado, o veículo passa por testes rigorosos das emissões gasosas, segundo as regras do PROCONVE. Porém, estes testes regulam apenas as substâncias químicas contidas na legislação vigente, cujos riscos à saúde humana e ao meio ambiente são conhecidos. Portanto, conhecer o maior número de componentes ainda não contemplados pela legislação, em especial metais no material particulado, é de suma importância para subsidiar futuras alterações e inclusões na lista de componentes regulados. De acordo com o tamanho das partículas do material particulado, podendo chegar a escalas nanométricas, a inalação deste material pode causar lesões graves no organismo, pois têm a capacidade de atingir órgãos internos. O estudo é baseado na amostragem do material particulado proveniente dos gases de motores alimentados com diesel e/ou biodiesel em diferentes proporções de combustível e ar ambiente com impactador em cascata; determinando metais e arsênio na atmosfera de diferentes localidades do estado do Rio de Janeiro e no material particulado dos gases de escape de motores de ônibus/caminhão (EURO III), por intermédio de abertura ácida do material coletado e da técnica analítica ICP-OES. Os resultados obtidos para motor EURO III variaram de 100 a 10000 ng m-3, com a redução de emissão conforme adição de biodiesel no diesel sendo comprovada. Porém, em todas as proporções de combustíveis empregadas, houve grande incidência de emissão de partículas em escala manométrica, sendo esse comportamento também observado nas amostragens em ar ambiente. Neste caso, teores de 1,0 a 45,0 ng m-3 evidenciaram Caxias e Madureira como locais mais poluídos dos amostrados. Ni é o metal que possui situação mais alarmante, pois em todos os tamanhos de partícula e locais amostrados, os teores deste elemento foram superiores ao permitido pela legislação internacional. A análise estatística multivariada propôs que os combustíveis B10 e B15 são quimicamente semelhantes, enquanto B5 e B20 sofrem fortes alterações no decorrer de sua combustão e a correlação de Pearson mostrou em ar ambiente, que locais com níveis próximos de poluição apresentaram similaridade nos resultados, a qualidade do ar de Madureira é afetado predominantemente pela construção civil e tráfego, a presença da Baía de Guanabara ao redor da Cidade Universitária influencia nas emissões, a refinaria em Caxias é responsável por emissões importantes de metais e no Parque Nacional de Itatiaia , ao contrário de que se supunha, não está totalmente livre de poluição

Multi-dimensional conditional moment closure modelling applied to a heavy-duty common-rail diesel engine

A multi-dimensional combustion code implementing the Conditional Moment Closure turbulent combustion model interfaced with a well-established RANS two- phase flow field solver has been employed to study a broad range of operating conditions for a heavy duty direct-injection common-rail Diesel engine. These conditions include different loads (25%, 50%, 75% and full load) and engine speeds (1250 and 1830 RPM) and, with respect to the fuel path, different injection timings and rail pressures. A total of nine cases have been simulated. Excellent agreement with experimental data has been found for the pressure traces and the heat release rates, without adjusting any model constants. The chemical mechanism used contains a detailed NOx sub-mechanism. The predicted emissions agree reasonably well with the experimental data considering the range of operating points and given no adjustments of any rate constants have been employed. In an effort to identify CPU cost reduction potential, various dimensionality reduction strategies have been assessed. Furthermore, the sensitivity of the predictions with respect to resolution in particular relating to the CMC grid has been investigated. Overall, the results suggest that the presented modelling strategy has considerable predictive capability concerning Diesel engine combustion without requiring model constant calibration based on experimental data. This is true particularly for the heat release rates predictions and, to a lesser extent, for NOx emissions where further progress is still necessary. © 2009 SAE International.

Study of steady state and transient EGR behaviour of a medium duty diesel engine

It is well known that accurate EGR control is paramount to controlling engine out emissions during steady state and transient operation of a diesel engine. The direct measurement of EGR is however non-trivial and especially difficult in engines with no external EGR control where the intake manifold CO2 levels can be measured more readily. This work studies the EGR behaviour in a medium duty diesel engine with a passive EGR rebreathing strategy for steady state and transient operation. High speed (response time ∼1ms) in-cylinder sampling using modified GDI valves is coupled with high frequency response analysers to measure the cyclic in-cylinder CO2, from which the EGR rate is deduced. It was found that controlling the EGR using the passive rebreathing strategy during certain combined speed and load transients is challenging, causing high smoke and NO emissions. The in-cylinder sampling method coupled with fast CO2 measurement (time constant ∼8ms) in the exhaust port gave insights about the EGR rate during these transients. The complex interaction of the manifold pressures, turbo-charger operation and trapped charge composition from the previous cycle simply can cause high dilution and therefore high smoke levels. The steady state variation of NO emissions with respect to EGR is also studied using a fast NO analyzer (time constant ∼2ms) in the exhaust port. Cyclic variation was found to be up to ±5% at some load conditions. © 2008 SAE International.

Investigation into partially premixed combustion in a light-duty multi-cylinder diesel engine fuelled gasoline and diesel with a mixture of

Partially premixed compression ignition (PPCI) engines operating with a low temperature highly homogeneous charge have been demonstrated previously using conventional diesel fuel. The short ignition delay of conventional diesel fuel requires high fuel injection pressures to achieve adequate premixing along with high levels of EGR (exhaust gas recirculation) to achieve low NOx emissions. Low load operating regions are typified by substantial emissions of CO and HC and there exists an upper operating load limitation due to very high rates of in-cylinder gas pressure rise. In this study mixtures of gasoline and diesel fuel were investigated using a multi-cylinder light duty diesel engine. It was found that an increased proportion of gasoline fuel reduced smoke emissions at higher operating loads through an increase in charge premixing resulting from an increase in ignition delay and higher fuel volatility. The results of this investigation confirm that a combination of fuel properties, exhibiting higher volatility and increased ignition delay, would enable a widening of the low emission operating regime, but that consideration must be given to combustion stability at low operating loads. Copyright © 2007 SAE International.

Influence of turbulence-chemistry interaction for n-heptane spray combustion under diesel engine conditions with emphasis on soot formation and oxidation

The influence of the turbulence-chemistry interaction (TCI) for n-heptane sprays under diesel engine conditions has been investigated by means of computational fluid dynamics (CFD) simulations. The conditional moment closure approach, which has been previously validated thoroughly for such flows, and the homogeneous reactor (i.e. no turbulent combustion model) approach have been compared, in view of the recent resurgence of the latter approaches for diesel engine CFD. Experimental data available from a constant-volume combustion chamber have been used for model validation purposes for a broad range of conditions including variations in ambient oxygen (8-21% by vol.), ambient temperature (900 and 1000 K) and ambient density (14.8 and 30 kg/m3). The results from both numerical approaches have been compared to the experimental values of ignition delay (ID), flame lift-off length (LOL), and soot volume fraction distributions. TCI was found to have a weak influence on ignition delay for the conditions simulated, attributed to the low values of the scalar dissipation relative to the critical value above which auto-ignition does not occur. In contrast, the flame LOL was considerably affected, in particular at low oxygen concentrations. Quasi-steady soot formation was similar; however, pronounced differences in soot oxidation behaviour are reported. The differences were further emphasised for a case with short injection duration: in such conditions, TCI was found to play a major role concerning the soot oxidation behaviour because of the importance of soot-oxidiser structure in mixture fraction space. Neglecting TCI leads to a strong over-estimation of soot oxidation after the end of injection. The results suggest that for some engines, and for some phenomena, the neglect of turbulent fluctuations may lead to predictions of acceptable engineering accuracy, but that a proper turbulent combustion model is needed for more reliable results. © 2014 Taylor & Francis.

Fault Diagnosis in Internal Combustion Engines Using Nonlinear Multivariate Statistics

This paper presents a statistical-based fault diagnosis scheme for application to internal combustion engines. The scheme relies on an identified model that describes the relationships between a set of recorded engine variables using principal component analysis (PCA). Since combustion cycles are complex in nature and produce nonlinear relationships between the recorded engine variables, the paper proposes the use of nonlinear PCA (NLPCA). The paper further justifies the use of NLPCA by comparing the model accuracy of the NLPCA model with that of a linear PCA model. A new nonlinear variable reconstruction algorithm and bivariate scatter plots are proposed for fault isolation, following the application of NLPCA. The proposed technique allows the diagnosis of different fault types under steady-state operating conditions. More precisely, nonlinear variable reconstruction can remove the fault signature from the recorded engine data, which allows the identification and isolation of the root cause of abnormal engine behaviour. The paper shows that this can lead to (i) an enhanced identification of potential root causes of abnormal events and (ii) the masking of faulty sensor readings. The effectiveness of the enhanced NLPCA based monitoring scheme is illustrated by its application to a sensor fault and a process fault. The sensor fault relates to a drift in the fuel flow reading, whilst the process fault relates to a partial blockage of the intercooler. These faults are introduced to a Volkswagen TDI 1.9 Litre diesel engine mounted on an experimental engine test bench facility.

Nonlinear PCA with Local Approach for Diesel Engine Fault Detection and Diagnosis

This brief examines the application of nonlinear statistical process control to the detection and diagnosis of faults in automotive engines. In this statistical framework, the computed score variables may have a complicated nonparametric distri- bution function, which hampers statistical inference, notably for fault detection and diagnosis. This brief shows that introducing the statistical local approach into nonlinear statistical process control produces statistics that follow a normal distribution, thereby enabling a simple statistical inference for fault detection. Further, for fault diagnosis, this brief introduces a compensation scheme that approximates the fault condition signature. Experimental results from a Volkswagen 1.9-L turbo-charged diesel engine are included.