Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Marco Mehl is active.

Publication


Featured researches published by Marco Mehl.


Journal of Engineering for Gas Turbines and Power-transactions of The Asme | 2012

An Experimental and Modeling-Based Study Into the Ignition Delay Characteristics of Diesel Surrogate Binary Blend Fuels

Matthew A. Carr; Patrick A. Caton; Leonard J. Hamilton; Jim S. Cowart; Marco Mehl; William J. Pitz

This study examines the combustion characteristics of a binary mixture surrogate for possible future diesel fuels using both a single-cylinder research engine and a homogeneous reactor model using detailed chemical reaction kinetics. Binary mixtures of a normal straight-chain alkane (pure n-hexadecane, also known as n-cetane, C16 H34 ) and an alkyl aromatic (toluene, C7 H8 ) were tested in a single-cylinder research engine. Pure n-hexadecane was tested as a baseline reference, followed by 50%, 70%, and 80% toluene in hexadecane blends. Testing was conducted at fixed engine speed and constant indicated load. As references, two conventional petroleum-based fuels (commercial diesel and US Navy JP-5 jet fuel) and five synthetic Fischer-Tropsch-based fuels were also tested. The ignition delay of the binary mixture surrogate increased with increasing toluene fraction and ranged from approximately 1.3 ms (pure hexadecane) to 3.0 ms (80% toluene in hexadecane). While ignition delay changed substantially, the location of 50% mass fraction burned did not change as significantly due to a simultaneous change in the premixed combustion fraction. Detailed chemical reaction rate modeling using a constant pressure, adiabatic, homogeneous reactor model predicts a chemical ignition delay with a similar trend to the experimental results, but shorter overall magnitude. The difference between this predicted homogeneous chemical ignition delay and the experimentally observed ignition delay is defined as the physical ignition delay due to processes such as spray formation, entrainment, mixing, and vaporization. On a relative basis, the addition of 70% toluene to hexadecane causes a nearly identical relative increase in both physical and chemical ignition delay of approximately 50%. The chemical kinetic model predicts that, even though the addition of toluene delays the global onset of ignition, the initial production of reactive precursors such as HO2 and H2 O2 may be faster with toluene due to the weakly bound methyl group. However, this initial production is insufficient to lead to wide-scale chain branching and ignition. The model predicts that the straight-chain alkane component (hexadecane) ignites first, causing the aromatic component to be consumed shortly thereafter. Greater ignition delay observed with the high toluene fraction blends is due to consumption of OH radicals by toluene. Overall, the detailed kinetic model captures the experimentally observed trends well and may be able to provide insight as to the relationship between bulk properties and physical ignition delay.Copyright


Volume 2: Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development; Keynote Papers | 2014

A Multi-Component Blend as a Diesel Fuel Surrogate for Compression Ignition Engine Applications

Yuanjiang Pei; Marco Mehl; Wei Liu; Tianfeng Lu; William J. Pitz; Sibendu Som

A mixture of n-dodecane and m-xylene is investigated as a diesel fuel surrogate for compression ignition engine applications. Compared to neat n-dodecane, this binary mixture is more representative of diesel fuel because it contains an alkyl-benzene which represents an important chemical class present in diesel fuels. A detailed multi-component mechanism for n-dodecane and m-xylene was developed by combining a previously developed n-dodecane mechanism with a recently developed mechanism for xylenes. The xylene mechanism is shown to reproduce experimental ignition data from a rapid compression machine and shock tube, speciation data from the jet stirred reactor and flame speed data. This combined mechanism was validated by comparing predictions from the model with experimental data for ignition in shock tubes and for reactivity in a flow reactor. The combined mechanism, consisting of 2885 species and 11754 reactions, was reduced to a skeletal mechanism consisting 163 species and 887 reactions for 3D diesel engine simulations. The mechanism reduction was performed using directed relation graph (DRG) with expert knowledge (DRG-X) and DRG-aided sensitivity analysis (DRGASA) at a fixed fuel composition of 77% of n-dodecane and 23% m-xylene by volume. The sample space for the reduction covered pressure of 1–80 bar, equivalence ratio of 0.5–2.0, and initial temperature of 700–1600 K for ignition. The skeletal mechanism was compared with the detailed mechanism for ignition and flow reactor predictions. Finally, the skeletal mechanism was validated against a spray flame dataset under diesel engine conditions documented on the Engine Combustion Network (ECN) website. These multi-dimensional simulations were performed using a Representative Interactive Flame (RIF) turbulent combustion model. Encouraging results were obtained compared to the experiments with regards to the predictions of ignition delay and lift-off length at different ambient temperatures.Copyright


Volume 2: Fuels; Numerical Simulation; Engine Design, Lubrication, and Applications | 2013

An Experimental and Modeling Study Into Using Normal and ISO Cetane Fuel Blends as a Surrogate for a Hydro-Processed Renewable Diesel (HRD) Fuel

Jim S. Cowart; Michael Raynes; Len Hamilton; Dianne J. Luning Prak; Marco Mehl; William J. Pitz

A new Hydro-processed Renewable Diesel (HRD) fuel is comprised of both straight chain and branched alkane fuel components. In an effort to find a research surrogate for this fuel, single cylinder engine testing was performed with various blends of n-hexadecane (cetane) and isocetane in order to find a binary surrogate mixture with similar performance characteristics to that of the HRD. A blend of approximately two-thirds n-hexadecane with one-third isocetane showed the most similar behavior based on conventional combustion metrics. Companion combustion modeling was then pursued using a combined detailed chemical kinetic mechanism for both n-hexadecane and isocetane. These modeling results show both the importance of isocetane in lengthening ignition delay, as well as the overall importance of chemical ignition delay as the dominating effect in the overall ignition delay of these binary blend fuels.Copyright


Review of Scientific Instruments | 2017

Plasma flow reactor for steady state monitoring of physical and chemical processes at high temperatures

Batikan Koroglu; Marco Mehl; Michael R. Armstrong; Jonathan C. Crowhurst; David G. Weisz; Joseph M. Zaug; Zurong Dai; H. B. Radousky; Alex Chernov; Erick Ramon; Elissaios Stavrou; K. B. Knight; Andrea Lucca Fabris; Mark A. Cappelli; Timothy P. Rose

We present the development of a steady state plasma flow reactor to investigate gas phase physical and chemical processes that occur at high temperature (1000 < T < 5000 K) and atmospheric pressure. The reactor consists of a glass tube that is attached to an inductively coupled argon plasma generator via an adaptor (ring flow injector). We have modeled the system using computational fluid dynamics simulations that are bounded by measured temperatures. In situ line-of-sight optical emission and absorption spectroscopy have been used to determine the structures and concentrations of molecules formed during rapid cooling of reactants after they pass through the plasma. Emission spectroscopy also enables us to determine the temperatures at which these dynamic processes occur. A sample collection probe inserted from the open end of the reactor is used to collect condensed materials and analyze them ex situ using electron microscopy. The preliminary results of two separate investigations involving the condensation of metal oxides and chemical kinetics of high-temperature gas reactions are discussed.


Scientific Reports | 2018

Gas Phase Chemical Evolution of Uranium, Aluminum, and Iron Oxides

Batikan Koroglu; Scott W. Wagnon; Zurong Dai; Jonathan C. Crowhurst; Michael R. Armstrong; David G. Weisz; Marco Mehl; Joseph M. Zaug; H. B. Radousky; Timothy P. Rose

We use a recently developed plasma-flow reactor to experimentally investigate the formation of oxide nanoparticles from gas phase metal atoms during oxidation, homogeneous nucleation, condensation, and agglomeration processes. Gas phase uranium, aluminum, and iron atoms were cooled from 5000 K to 1000 K over short-time scales (∆t < 30 ms) at atmospheric pressures in the presence of excess oxygen. In-situ emission spectroscopy is used to measure the variation in monoxide/atomic emission intensity ratios as a function of temperature and oxygen fugacity. Condensed oxide nanoparticles are collected inside the reactor for ex-situ analyses using scanning and transmission electron microscopy (SEM, TEM) to determine their structural compositions and sizes. A chemical kinetics model is also developed to describe the gas phase reactions of iron and aluminum metals. The resulting sizes and forms of the crystalline nanoparticles (FeO-wustite, eta-Al2O3, UO2, and alpha-UO3) depend on the thermodynamic properties, kinetically-limited gas phase chemical reactions, and local redox conditions. This work shows the nucleation and growth of metal oxide particles in rapidly-cooling gas is closely coupled to the kinetically-controlled chemical pathways for vapor-phase oxide formation.


Archive | 2015

Development of Kinetic Mechanisms for Next-Generation Fuels and CFD Simulation of Advanced Combustion Engines

William J. Pitz; Matt J. McNenly; Russell Whitesides; Marco Mehl; Nick J. Killingsworth; Charles K. Westbrook

Predictive chemical kinetic models are needed to represent next-generation fuel components and their mixtures with conventional gasoline and diesel fuels. These kinetic models will allow the prediction of the effect of alternative fuel blends in CFD simulations of advanced spark-ignition and compression-ignition engines. Enabled by kinetic models, CFD simulations can be used to optimize fuel formulations for advanced combustion engines so that maximum engine efficiency, fossil fuel displacement goals, and low pollutant emission goals can be achieved.


Presented at: ASME IC Engine 2011 FallTechnical Conference, Morgantown, WV, United States, Oct 02 - Oct 05, 2011 | 2011

An Experimental and Modeling-Based Study into the Ignition Delay Characteristics of Diesel Surrogate Binary Blend Fuels

Matthew A. Carr; Patrick A. Caton; Leonard J. Hamilton; Jim S. Cowart; Marco Mehl; William J. Pitz

This study examines the combustion characteristics of a binary mixture surrogate for possible future diesel fuels using both a single-cylinder research engine and a homogeneous reactor model using detailed chemical reaction kinetics. Binary mixtures of a normal straight-chain alkane (pure n-hexadecane, also known as n-cetane, C16 H34 ) and an alkyl aromatic (toluene, C7 H8 ) were tested in a single-cylinder research engine. Pure n-hexadecane was tested as a baseline reference, followed by 50%, 70%, and 80% toluene in hexadecane blends. Testing was conducted at fixed engine speed and constant indicated load. As references, two conventional petroleum-based fuels (commercial diesel and US Navy JP-5 jet fuel) and five synthetic Fischer-Tropsch-based fuels were also tested. The ignition delay of the binary mixture surrogate increased with increasing toluene fraction and ranged from approximately 1.3 ms (pure hexadecane) to 3.0 ms (80% toluene in hexadecane). While ignition delay changed substantially, the location of 50% mass fraction burned did not change as significantly due to a simultaneous change in the premixed combustion fraction. Detailed chemical reaction rate modeling using a constant pressure, adiabatic, homogeneous reactor model predicts a chemical ignition delay with a similar trend to the experimental results, but shorter overall magnitude. The difference between this predicted homogeneous chemical ignition delay and the experimentally observed ignition delay is defined as the physical ignition delay due to processes such as spray formation, entrainment, mixing, and vaporization. On a relative basis, the addition of 70% toluene to hexadecane causes a nearly identical relative increase in both physical and chemical ignition delay of approximately 50%. The chemical kinetic model predicts that, even though the addition of toluene delays the global onset of ignition, the initial production of reactive precursors such as HO2 and H2 O2 may be faster with toluene due to the weakly bound methyl group. However, this initial production is insufficient to lead to wide-scale chain branching and ignition. The model predicts that the straight-chain alkane component (hexadecane) ignites first, causing the aromatic component to be consumed shortly thereafter. Greater ignition delay observed with the high toluene fraction blends is due to consumption of OH radicals by toluene. Overall, the detailed kinetic model captures the experimentally observed trends well and may be able to provide insight as to the relationship between bulk properties and physical ignition delay.Copyright


Proceedings of the Combustion Institute | 2011

Kinetic Modeling of Gasoline Surrogate Components and Mixtures under Engine Conditions

Marco Mehl; William J. Pitz; Charles K. Westbrook; Henry J. Curran


Combustion and Flame | 2012

A comprehensive chemical kinetic combustion model for the four butanol isomers

S. Mani Sarathy; Stijn Vranckx; Kenji Yasunaga; Marco Mehl; Patrick Oßwald; Wayne K. Metcalfe; Charles K. Westbrook; William J. Pitz; Katharina Kohse-Höinghaus; Ravi X. Fernandes; Henry J. Curran


Combustion and Flame | 2011

Comprehensive chemical kinetic modeling of the oxidation of 2-methylalkanes from C7 to C20

S.M. Sarathy; Charles K. Westbrook; Marco Mehl; William J. Pitz; Casimir Togbé; P. Dagaut; Haowei Wang; Matthew A. Oehlschlaeger; Ulrich Niemann; K. Seshadri; Peter S. Veloo; Chunsheng Ji; Fokion N. Egolfopoulos; Tianfeng Lu

Collaboration


Dive into the Marco Mehl's collaboration.

Top Co-Authors

Avatar

William J. Pitz

Lawrence Livermore National Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Henry J. Curran

National University of Ireland

View shared research outputs
Top Co-Authors

Avatar

S. Mani Sarathy

King Abdullah University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Chih-Jen Sung

University of Connecticut

View shared research outputs
Top Co-Authors

Avatar

S.M. Sarathy

Lawrence Livermore National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Scott W. Wagnon

Lawrence Livermore National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Tianfeng Lu

University of Connecticut

View shared research outputs
Top Co-Authors

Avatar

Casimir Togbé

Centre national de la recherche scientifique

View shared research outputs
Researchain Logo
Decentralizing Knowledge