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Titlebook: Combustion for Power Generation and Transportation; Technology, Challeng Avinash Kumar Agarwal,Santanu De,Akhilendra Pratap Book 2017 Sprin

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发表于 2025-3-21 19:35:07 | 显示全部楼层 |阅读模式
书目名称Combustion for Power Generation and Transportation
副标题Technology, Challeng
编辑Avinash Kumar Agarwal,Santanu De,Akhilendra Pratap
视频video
概述Covers various aspects of combustion in gas turbines and internal combustion (IC) engines.Discusses emission formation and controls.Presents international contributions from prominent experts.Includes
图书封面Titlebook: Combustion for Power Generation and Transportation; Technology, Challeng Avinash Kumar Agarwal,Santanu De,Akhilendra Pratap Book 2017 Sprin
描述This research monograph presents both fundamental science and applied innovations on several key and emerging technologies involving fossil and alternate fuel utilization in power and transport sectors. .from renowned experts in the field. Some of the topics covered include: autoignition in laminar and turbulent nonpremixed flames; Langevin simulation of turbulent combustion; lean blowout (LBO) prediction through symbolic time series analysis; lasers and optical diagnostics for next generation IC engine development; exergy destruction study on small DI diesel engine; and gasoline direct injection. The book includes a chapter on carbon sequestration and optimization of enhanced oil and gas recovery.  The contents of this book will be useful to researchers and professionals working on all aspects on combustion.
出版日期Book 2017
关键词Combustion; Gas turbine; IC Engines; Simulations; Emission control
版次1
doihttps://doi.org/10.1007/978-981-10-3785-6
isbn_softcover978-981-10-9964-9
isbn_ebook978-981-10-3785-6
copyrightSpringer Nature Singapore Pte Ltd. 2017
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Combustion for Power Generation and Transportation978-981-10-3785-6
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Numerical Modeling of MILD Combustion at High Pressure to Predict the Optimal Operating Conditionsssure for a given level of preheat and dilution. OH mass faction is reduced with increasing pressure. The CO emissions show little sensitivity to operating pressure. However, CO mass fraction is slightly higher at 1 atm operating pressure as compared to 4 to 16 atm. Since the residence time of react
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Lean Blowout (LBO) Prediction Through Symbolic Time Series Analysisistic algebraic structure and the states are represented by symbol blocks of length . or less, where . is a positive integer. The estimated state probability vector is found out on the basis of number of occurrence of each symbol over a time duration. A reference state vector is calculated at a cond
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Chronology of Dynamic Stall Characteristics Through Simultaneous PIV and Surface Pressure Measuremen developed dynamic stall regimes are presented and critically assessed to provide qualitative information and flow visualization of the flow field to trace various dynamic stall events which mainly include the formation, growth and shedding of Dynamic Stall Vortex (DSV) from the TE.
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