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      KCI등재 SCIE SCOPUS

      Experimentally validated analytical modeling of diesel exhaust HC emission rate

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      https://www.riss.kr/link?id=A103788740

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      다국어 초록 (Multilingual Abstract)

      Supercharged diesel engines are a key source of hazardous regulated emissions that have been extensively modelled, yet without explainablemathematical trends. The present paper demonstrates the analytical modeling of the percentage of unburned Hydrocarbon andthe HC emission rate in four-stroke diesel engines for trucks. The study presents as well the analytical modeling of the supercharged airdensity. A sensitivity analysis has been conducted on these developed models. The study shows that the average percentage of deviationof the simulated results from the corresponding freeway cycles field data on the percentage of unburned Hydrocarbon and the HC emissionrate is 10.6% and 4%, respectively. The corresponding coefficient of determination is 70% and 83%, respectively. The relative errorof the developed models of the percentage of unburned Hydrocarbon and the HC emission rate is 10.6% and 2%, respectively. The studydemonstrates with 99% coefficient of determination that the average percentage of deviation of the simulated results from the correspondingfield data under the steady speed operating condition for all freeway cycles on the supercharged air density is 3.7%. The relativeerror of the developed model of the supercharged air density is 4%. These values of relative error are in an order of magnitude ofdeviation that is less than that of widely recognized models in the field of vehicle powertrain modeling, such as the CMEM. These developedanalytical models serve as widely valid models that follow entirely from the principles of physics and the results of these developedmodels have explainable mathematical trends. The fact that these developed models are dimensionally correct further supports the validityof these models. The present models can help in better analyzing the performance of diesel engines and in developing and assessingthe performance of these engines.
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      Supercharged diesel engines are a key source of hazardous regulated emissions that have been extensively modelled, yet without explainablemathematical trends. The present paper demonstrates the analytical modeling of the percentage of unburned Hydroca...

      Supercharged diesel engines are a key source of hazardous regulated emissions that have been extensively modelled, yet without explainablemathematical trends. The present paper demonstrates the analytical modeling of the percentage of unburned Hydrocarbon andthe HC emission rate in four-stroke diesel engines for trucks. The study presents as well the analytical modeling of the supercharged airdensity. A sensitivity analysis has been conducted on these developed models. The study shows that the average percentage of deviationof the simulated results from the corresponding freeway cycles field data on the percentage of unburned Hydrocarbon and the HC emissionrate is 10.6% and 4%, respectively. The corresponding coefficient of determination is 70% and 83%, respectively. The relative errorof the developed models of the percentage of unburned Hydrocarbon and the HC emission rate is 10.6% and 2%, respectively. The studydemonstrates with 99% coefficient of determination that the average percentage of deviation of the simulated results from the correspondingfield data under the steady speed operating condition for all freeway cycles on the supercharged air density is 3.7%. The relativeerror of the developed model of the supercharged air density is 4%. These values of relative error are in an order of magnitude ofdeviation that is less than that of widely recognized models in the field of vehicle powertrain modeling, such as the CMEM. These developedanalytical models serve as widely valid models that follow entirely from the principles of physics and the results of these developedmodels have explainable mathematical trends. The fact that these developed models are dimensionally correct further supports the validityof these models. The present models can help in better analyzing the performance of diesel engines and in developing and assessingthe performance of these engines.

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      참고문헌 (Reference)

      1 M. Kottek, "World map of the Köppen-Geiger climate classification updated" 15 (15): 259-263, 2006

      2 A. Tapani, "Versatile model for simulation of rural road traffic" 1934 : 169-178, 2005

      3 W. F. Faris, "Vehicle fuel consumption and emission modelling:an in-depth literature review" 6 (6): 318-395, 2011

      4 D. J. Brzezinski, "The determination of hot running emissions from FTP bag emissions" US EPA 1999

      5 W. F. Faris, "Supercharged diesel powertrain intake manifold analytical model" 9 (9): 2014

      6 G. Keller, "Statistics for management and economics" South Western, Cengage Learning 2012

      7 H. A. Rakha, "Simple vehicle powertrain model for modeling intelligent vehicle applications" 13 (13): 2012

      8 H. Rakha, "Requirements for evaluating traffic signal control impacts on energy and emissions based on instantaneous speed and acceleration measurements" 1738 : 56-67, 2000

      9 "RB Racing RSR Intercoolers"

      10 United states environmental protection agency EPA, "Process for Conducting Probabilistic Risk Assessment, APPENDIX A, RAGS Volume 3 Part A"

      1 M. Kottek, "World map of the Köppen-Geiger climate classification updated" 15 (15): 259-263, 2006

      2 A. Tapani, "Versatile model for simulation of rural road traffic" 1934 : 169-178, 2005

      3 W. F. Faris, "Vehicle fuel consumption and emission modelling:an in-depth literature review" 6 (6): 318-395, 2011

      4 D. J. Brzezinski, "The determination of hot running emissions from FTP bag emissions" US EPA 1999

      5 W. F. Faris, "Supercharged diesel powertrain intake manifold analytical model" 9 (9): 2014

      6 G. Keller, "Statistics for management and economics" South Western, Cengage Learning 2012

      7 H. A. Rakha, "Simple vehicle powertrain model for modeling intelligent vehicle applications" 13 (13): 2012

      8 H. Rakha, "Requirements for evaluating traffic signal control impacts on energy and emissions based on instantaneous speed and acceleration measurements" 1738 : 56-67, 2000

      9 "RB Racing RSR Intercoolers"

      10 United states environmental protection agency EPA, "Process for Conducting Probabilistic Risk Assessment, APPENDIX A, RAGS Volume 3 Part A"

      11 A. Velmurugan, "Performance and emission characteristics of a DI diesel engine fuelled with Cashew Nut Shell Liquid (CNSL) - Diesel blends" 58 : 889-894, 2011

      12 K. Ahn, "Modelling light duty vehicle emissions based on instantaneous speed and acceleration levels" Virginia Polytechnic Institute and State University 2002

      13 K. Ahn, "Microscopic fuel consumption and emission modelling" 1999

      14 H. Yue, "Mesoscopic fuel consumption and emission modelling" Virginia Polytechnic Institute and State University 2008

      15 Nader Larbi, "Measurement and simulation of pollutant emissions from marine diesel combustion engine and their reduction by exhaust gas recirculation" 대한기계학회 22 (22): 2263-2273, 2008

      16 E. Hendricks, "Mean value modelling of spark ignition engines" SAE 1990

      17 J. Biteus, "Mean value engine model of a heavy duty diesel engine" Linkopings universitet 2002

      18 "Lysholm Supercharger LYS 2300 AX"

      19 S. L. Hess, "Introduction to theoretical meteorology" Krieger Publication Co 1979

      20 J. Heywood, "Internal combustion engine fundamentals" McGraw Hill 1988

      21 W. F. Faris, "Impact of intelligent transportation systems on vehicle fuel consumption and emission modelling: an overview" 7 (7): 2014

      22 R. Guensler, "Heavyduty diesel vehicle modal emission model (HDDV-MEM)Volume I: Modal Emission Modeling Framework" US Environmental Protection Agency 2005

      23 R. B. Noland, "Flow improvements and vehicle emissions: effects of trip generation and emission control technology" 11 : 1-14, 2006

      24 "Eaton M90 Supercharger"

      25 J. Mark, "Diesel passenger vehicles and the environment" Union of Concerned Scientists 1999

      26 B. West, "Development of data-based light-duty modal emissions and fuel consumption models" SAE 1997

      27 F. An, "Development of a comprehensive Modal emissions model: operating under hot-stabilized conditions" 1587 : 52-62, 1997

      28 R. Bramston-Cook, "Determination of Hydrocarbons in diesel exhaust" 2000

      29 H. Rakha, "Comparison of Mobile5a, VT-Micro, and CMEM models for estimating hot-stabilized light duty gasoline vehicle emissions" 30 (30): 1010-1021, 2003

      30 M. Usan, "Automotive component product development enhancement through multi-attribute system design optimization in an integrated concurrent engineering framework" Massachusetts Institute of Technology 2005

      31 S. A. M. Elmoselhy, "Analytical modeling of fuel consumption and regulated emission rates for trucks" International Islamic University Malaysia 2014

      32 W. F. Faris, "Analytical model of diesel engines exhaust NOx emission rate" 9 (9): 2014

      33 I. D. Greenwood, "A new approach to estimate congestion impacts for highway evaluation - effects on fuel consumption and vehicle emissions" The University of Auckland 2003

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2012-11-05 학술지명변경 한글명 : 대한기계학회 영문 논문집 -> Journal of Mechanical Science and Technology KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-19 학술지명변경 한글명 : KSME International Journal -> 대한기계학회 영문 논문집
      외국어명 : KSME International Journal -> Journal of Mechanical Science and Technology
      KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1998-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.04 0.51 0.84
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.74 0.66 0.369 0.12
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