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Portable Fuel Portable Fuel Analyzer System (PFAS)/ Analyzer System (PFAS)/Multiple Fuel Optimization Multiple Fuel Optimization
Develop a compact, portable, remote fuel quality sensor capable of differentiating most types of fuels used in commercial, industrial, aviation and military applications.– Portable fuel Quality Analyzer (PFAS)– Combustion Optimization Network (MFOS)
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Today’s ChallengeToday’s Challenge
Engines designed for diesel/distillate fuel, but required to use the lighter kerosene fuels, or gasoline/spark assisted engines operating on alternative fuels
Cannot design engine to operate optimally on two or more different fuels
Resultant compromise yields a “multi-fuel capability” but Lower fuel economy (mpg) Slower acceleration/top speed Reduced power at fuel rack settings Compromised exhaust emissions
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The SolutionThe Solution
Develop system capable of instaneously optimizing engine performance regardless of fuel being consumed
True multi-fuel capability achieved without compromising performance
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What is the MFOS?What is the MFOS?
MFOS is a two component unit consisting of a fuel-sensor coupled with a Neural Network main computer/engine control unit.
It uses state of the art, proven and patented technology to identify fuel patterns and electronically control internal and external combustion engines to achieve optimum performance for a wide variety of fuels.
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Benefits of the MFOS SystemBenefits of the MFOS System
This low cost system will complement existing engine components, allowing operation at optimum levels with the ability to use locally available or environmental friendly fuels.
It will allow virtually all engines to run on a wide variety of fuels without loss of power, fuel efficiency or engine life, with the added benefit of lowering fuel consumption and exhaust emissions.
Smaller organic solvent sensor evaluated and discarded
Successful signature difference achieved with one gas and one ammonia sensor
Heater control parameter switched from Vh to Ih Sampling times vary from 30 to 60 seconds Process automated Signature differentiation program created
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Parameters to be DeterminedParameters to be Determined
Blanket sensor exposure time Effectively incorporating ammonia sensor data Humidity and temperature influences Repeatability, error, deviation, reliability of
measurements and reversibility Requirements on fluid/gas atomization and flow
rate
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RecommendationsRecommendations
Compare increasing warm-up time with the existing signatures
Extend pre-sample waiting period Observe temperature fluctuations Possibly change the software to always