EXPERIMENTAL STUDY ON THE EFFECTS OF HYDROGEN INJECTION STRATEGY ON THE COMBUSTION AND EMISSIONS OF A HYDROGEN/GASOLINE DUAL FUEL SI ENGINE UNDER LEAN BURN CONDITION

Experimental Study on the Effects of Hydrogen Injection Strategy on the Combustion and Emissions of a Hydrogen/Gasoline Dual Fuel SI Engine under Lean Burn Condition

Hydrogen addition can improve the performance and extend the lean burn limit of gasoline engines.Different hydrogen injection strategies lead to different types of hydrogen mixture distribution (HMD), which affects the engine performance.Therefore, the present study Quantum Mechanix experimentally investigated the effects of hydrogen injection stra

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Geological structure and occurrence conditions of the Bazhenov formation within THE South Tambey gas condensate field

Background.In the 21st century, exploration Bar Soap works in the previously discovered Jurassic deposits has been launched in the north of the Yamal Peninsula.The South Tambey field was no exception, where 3D seismic surveys and exploration drilling have been carried out over the past 10 years to study of Jurassic sediments and rocks of the Bazhen

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Effects of selection index coefficients that ignore reliability on economic weights and selection responses during practical selection

Objective In practical breeding, selection is often performed by ignoring Quantum Mechanix the accuracy of evaluations and applying economic weights directly to the selection index coefficients of genetically standardized traits.The denominator of the standardized component trait of estimated genetic evaluations in practical selection varies with i

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Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance

This study aims to enhance energy performance estimation and maintenance planning for office buildings in Tehran.Machine learning and data mining techniques were employed, utilizing Support Vector Machines (SVMs), Artificial Neural Networks (ANNs), Narrow Neural Networks, and optimizable SVMs.A comprehensive dataset of 2500 experimental samples was

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