این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Journal of Applied Fluid Mechanics، جلد ۱۱، شماره (Special Issue)، صفحات ۳۹-۴۴
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Modelling of Manhattan K-Nearest Neighbor for Exhaust Emission Analysis of CNG-Diesel Engine
چکیده انگلیسی مقاله Hybrid fuel for the operation of diesel engine is the motivated research in this study. The diesel engine is modified to operate with the hybrid diesel and compressed natural gas (CNG). In this work a four stroke, single cylinder diesel engine is considered to operate at variable load and speed. At is operation condition the emission characteristics are measured to model the proposed Manhattan K-nearest neighbor (MKNN) technique. The MKNN is modelled to effectively analysis and predict the torque, brake power, exhaust emissions and break specific fuel consumption (BSFC). The MKNN is modelled with the constant K=3 and applied Manhattan distance formula for neighbor determination. From the result analysis it is evident that the proposed MKNN technique can effectively predict the engine performance and exhaust emission while the usage of hybrid fuel.
کلیدواژه‌های انگلیسی مقاله Hybrid Fuel System, Compressed Natural Gas, Manhattan K, Nearest Neighbor, Manhattan Distance, Diesel Engine Emission
نویسندگان مقاله T. Sathish |
Department of Mechanical Engineering, St.Peter’s University

A. Muthulakshmanan |
Department of Mech. Engg., Vaagdevi College of Engineering, Warangal, Telangana

نشانی اینترنتی https://www.jafmonline.net/article_1934_01d57f81b0bdf27b08f0e8d1f4d740fa.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات