Estimation of Select Specification Tests for Aviation Turbine Fuels Using Fast Gas Chromatography (GC)
The quality of aviation turbine fuels is measured largely by specification tests, which are routinely conducted for every large fuel supply purchased by the United States Air Force. Because military operations insist on more mobility than ever before, fuels are often purchased locally where the mili...
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Veröffentlicht in: | Energy & fuels 2005-11, Vol.19 (6), p.2445-2454 |
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creator | Striebich, R. C Motsinger, M. A Rauch, M. E Zabarnick, S Dewitt, M |
description | The quality of aviation turbine fuels is measured largely by specification tests, which are routinely conducted for every large fuel supply purchased by the United States Air Force. Because military operations insist on more mobility than ever before, fuels are often purchased locally where the military is located. To test the fuels being purchased from unfamiliar sources, the military is examining mobile laboratories. With modern instrumentation such as gas chromatography (GC) with microbore columns and multiple detectors, compositional data can be easily and quickly obtained and related directly to specification test properties. By investigating composition−property relationships, a single GC experiment can be used to estimate several properties. In this work, the development and validation of specification test prediction using compositional data obtained via fast ( |
doi_str_mv | 10.1021/ef050136o |
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C ; Motsinger, M. A ; Rauch, M. E ; Zabarnick, S ; Dewitt, M</creator><creatorcontrib>Striebich, R. C ; Motsinger, M. A ; Rauch, M. E ; Zabarnick, S ; Dewitt, M</creatorcontrib><description>The quality of aviation turbine fuels is measured largely by specification tests, which are routinely conducted for every large fuel supply purchased by the United States Air Force. Because military operations insist on more mobility than ever before, fuels are often purchased locally where the military is located. To test the fuels being purchased from unfamiliar sources, the military is examining mobile laboratories. With modern instrumentation such as gas chromatography (GC) with microbore columns and multiple detectors, compositional data can be easily and quickly obtained and related directly to specification test properties. By investigating composition−property relationships, a single GC experiment can be used to estimate several properties. In this work, the development and validation of specification test prediction using compositional data obtained via fast (<5 min) GC is presented. Simple correlations and relationships between properties and composition are suggested as possible ways to predict specification results without the expense and time required for testing. In this initial work, the properties investigated were simulated distillation, flash point, freeze point, and sulfur content. Results indicated that these tests could be reasonably predicted in minutes using correlations to fast GC data. Instrumentation developed for predicting specification tests was delivered to a field location and used to predict the specification results of locally purchased and captured fuels in wartime. These same fuels were also analyzed in regional laboratories, for validation of results.</description><identifier>ISSN: 0887-0624</identifier><identifier>EISSN: 1520-5029</identifier><identifier>DOI: 10.1021/ef050136o</identifier><identifier>CODEN: ENFUEM</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Applied sciences ; Crude oil, natural gas and petroleum products ; Energy ; Exact sciences and technology ; Fuels ; Petroleum products, gas and fuels. 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C</creatorcontrib><creatorcontrib>Motsinger, M. A</creatorcontrib><creatorcontrib>Rauch, M. E</creatorcontrib><creatorcontrib>Zabarnick, S</creatorcontrib><creatorcontrib>Dewitt, M</creatorcontrib><title>Estimation of Select Specification Tests for Aviation Turbine Fuels Using Fast Gas Chromatography (GC)</title><title>Energy & fuels</title><addtitle>Energy Fuels</addtitle><description>The quality of aviation turbine fuels is measured largely by specification tests, which are routinely conducted for every large fuel supply purchased by the United States Air Force. Because military operations insist on more mobility than ever before, fuels are often purchased locally where the military is located. To test the fuels being purchased from unfamiliar sources, the military is examining mobile laboratories. With modern instrumentation such as gas chromatography (GC) with microbore columns and multiple detectors, compositional data can be easily and quickly obtained and related directly to specification test properties. By investigating composition−property relationships, a single GC experiment can be used to estimate several properties. In this work, the development and validation of specification test prediction using compositional data obtained via fast (<5 min) GC is presented. Simple correlations and relationships between properties and composition are suggested as possible ways to predict specification results without the expense and time required for testing. In this initial work, the properties investigated were simulated distillation, flash point, freeze point, and sulfur content. Results indicated that these tests could be reasonably predicted in minutes using correlations to fast GC data. Instrumentation developed for predicting specification tests was delivered to a field location and used to predict the specification results of locally purchased and captured fuels in wartime. These same fuels were also analyzed in regional laboratories, for validation of results.</description><subject>Applied sciences</subject><subject>Crude oil, natural gas and petroleum products</subject><subject>Energy</subject><subject>Exact sciences and technology</subject><subject>Fuels</subject><subject>Petroleum products, gas and fuels. 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Motor fuels, lubricants and asphalts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Striebich, R. C</creatorcontrib><creatorcontrib>Motsinger, M. A</creatorcontrib><creatorcontrib>Rauch, M. E</creatorcontrib><creatorcontrib>Zabarnick, S</creatorcontrib><creatorcontrib>Dewitt, M</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Energy & fuels</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Striebich, R. C</au><au>Motsinger, M. A</au><au>Rauch, M. E</au><au>Zabarnick, S</au><au>Dewitt, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of Select Specification Tests for Aviation Turbine Fuels Using Fast Gas Chromatography (GC)</atitle><jtitle>Energy & fuels</jtitle><addtitle>Energy Fuels</addtitle><date>2005-11-01</date><risdate>2005</risdate><volume>19</volume><issue>6</issue><spage>2445</spage><epage>2454</epage><pages>2445-2454</pages><issn>0887-0624</issn><eissn>1520-5029</eissn><coden>ENFUEM</coden><abstract>The quality of aviation turbine fuels is measured largely by specification tests, which are routinely conducted for every large fuel supply purchased by the United States Air Force. Because military operations insist on more mobility than ever before, fuels are often purchased locally where the military is located. To test the fuels being purchased from unfamiliar sources, the military is examining mobile laboratories. With modern instrumentation such as gas chromatography (GC) with microbore columns and multiple detectors, compositional data can be easily and quickly obtained and related directly to specification test properties. By investigating composition−property relationships, a single GC experiment can be used to estimate several properties. In this work, the development and validation of specification test prediction using compositional data obtained via fast (<5 min) GC is presented. Simple correlations and relationships between properties and composition are suggested as possible ways to predict specification results without the expense and time required for testing. In this initial work, the properties investigated were simulated distillation, flash point, freeze point, and sulfur content. Results indicated that these tests could be reasonably predicted in minutes using correlations to fast GC data. Instrumentation developed for predicting specification tests was delivered to a field location and used to predict the specification results of locally purchased and captured fuels in wartime. These same fuels were also analyzed in regional laboratories, for validation of results.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><doi>10.1021/ef050136o</doi><tpages>10</tpages></addata></record> |
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subjects | Applied sciences Crude oil, natural gas and petroleum products Energy Exact sciences and technology Fuels Petroleum products, gas and fuels. Motor fuels, lubricants and asphalts |
title | Estimation of Select Specification Tests for Aviation Turbine Fuels Using Fast Gas Chromatography (GC) |
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