Fuel Property Prediction
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Materials/Component Compatibility with Advanced Fuels
Experimental facility to assess materials compatibility with liquid-phase and vapor phase simultaneously for over 100 different metal and/or polymer samples under controlled temperature and pressure conditions for each fuel sample of interest. We use a host of measurements and analytical techniques to measure swelling, weight gain, and leaching, and other material property changes. Read More
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Surrogate Mixtures Developed to Represent Real Fuel Properties
Surrogates for gasoline, diesel, and their mixtures with new fuels are developed to match desired fuel properties including RON, MON, cetane number, distillation curve, H/C ratio, density, carbon types, chemical classes, PMI and yield-sooting index (YSI). Read More
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Reduced Kinetic Mechanisms for New Fuels and Blended with Gasoline or Diesel Fuels
Reduced mechanisms for fuel components, fuel blends, and surrogate mixtures (to represent real fuels) will be developed to target key qualities (ignition phasing, flame speed, heat release rate, emissions) over a wide range of temperature, pressure, equivalence ratio and EGR. Read More
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Chemical Kinetic Models for New Fuels Blended with Gasoline and Diesel Fuels
Develop chemical kinetic models for fuel components, fuel blends, and surrogate fuels to represent real fuels. These models can be used to simulate autoignition and flame speeds over a wide range of temperatures, pressures, equivalence ratios, and EGR, and be exercised to cover engine-relevant pressure-temperature trajectories. Read More
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Physical and Chemical Fuel Property Prediction
Tools developed by Co-Optima researchers can be used to predict a large number of relevant physical, chemical and fuel properties. Read More
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Computational Tools to Identify Bio-Blendstocks with Advantageous Properties
Co-Optima researchers have expertise and tools to identify bioblendstock candidates with advantageous properties and potential routes to their production. Read More