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{ "item_title" : "Internal Combustion Engines Improving Performance, Fuel Economy and Emissions", "item_author" : [" Federico Millo", "Lucio Postrioti "], "item_description" : "This Special Issue, consisting of 14 papers, presents the latest findings concerning both numerical and experimental investigations. Their aim is to achieve a reduction in pollutant emissions, as well as an improvement in fuel economy and performance, for internal combustion engines. This will provide readers with a comprehensive, unbiased, and scientifically sound overview of the most recent research and technological developments in this field. More specific topics include: 3D CFD detailed analysis of the fuel injection, combustion and exhaust aftertreatments processes, 1D and 0D, semi-empirical, neural network-based control-oriented models, experimental analysis and the optimization of both conventional and innovative combustion processes.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/936/168/3039361686_b.jpg", "price_data" : { "retail_price" : "81.00", "online_price" : "81.00", "our_price" : "81.00", "club_price" : "81.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Internal Combustion Engines Improving Performance, Fuel Economy and Emissions|Federico Millo

Internal Combustion Engines Improving Performance, Fuel Economy and Emissions

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Overview

This Special Issue, consisting of 14 papers, presents the latest findings concerning both numerical and experimental investigations. Their aim is to achieve a reduction in pollutant emissions, as well as an improvement in fuel economy and performance, for internal combustion engines. This will provide readers with a comprehensive, unbiased, and scientifically sound overview of the most recent research and technological developments in this field. More specific topics include: 3D CFD detailed analysis of the fuel injection, combustion and exhaust aftertreatments processes, 1D and 0D, semi-empirical, neural network-based control-oriented models, experimental analysis and the optimization of both conventional and innovative combustion processes.

Details

  • ISBN-13: 9783039361687
  • ISBN-10: 3039361686
  • Publisher: Mdpi AG
  • Publish Date: October 2020
  • Dimensions: 9.61 x 6.69 x 1 inches
  • Shipping Weight: 1.98 pounds
  • Page Count: 324

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