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2025-06-11
New doctoral dissertation
VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Research on acoustic agglomeration phenomenon by using alternative fuels in a compression ignition engine to reduce particle pollution“ prepared by VILNIUS TECH, Sai Manoj Rayapureddy. The dissertation was prepared in 2020–2025. Scientific Consultant – Assoc. Prof. Dr Jonas Matijošius.
The dissertation was defended at the public meeting of the Dissertation Defence Council of Transport Engineering in the Aula Doctoralis Meeting of Vilnius Gediminas Technical University at 2 p.m. on 11 June 2025.
IC engines are a major contributor to the particulate emissions in the urban areas. These emissions comprise a complex mixture of microscopic particles, which are an important deteriorating factor in human health and air quality. Alternative fuels with higher oxygen content and lower C/H ratios help in reducing particle emissions, while most work carried out on the concept of acoustic agglomeration focuses on its applications in industrial emissions. The application of acoustic agglomeration on the particles emitted from IC engine exhaust is largely unexplored. This dissertation bridges the gap between integrating alternative fuel strategies and acoustic agglomeration technology. The Introduction presents the formulation of the problem, object, and importance of the dissertation, aim, and tasks of the work. It provides the scientific novelty, theoretical and practical value of experiment results, and the list of published scientific publications by the author. The First Chapter reviews various alternative fuels. It focuses on the importance of blending fuels to achieve better results. A lower C/H ratio and higher levels of oxygen content are identified to influence the emissions at similar loads equally. Also, the chapter presents the literature review on the concept of acoustic agglomeration and the results of some of the previous research. The Second Chapter consists of the methodological and theoretical parts of the dissertation. An innovative computational model for acoustic agglomeration has been developed, considering the acoustic wake effect and orthokinetic collision as the predominant first-order effects. The engine setup and the in-house-built acoustic chamber specifications are also presented, along with the different types of alternative fuels used and calculations of their blended properties. The results of the computational and experimental analysis are presented in the Third Chapter. It explains the computational behaviour of particles under the acoustic influence and compares the experimental results on particle emission of selected alternative fuel mixtures to that of diesel fuel. Also, it studies and compares the impact of agglomeration on the particles is studied and compared, presents the influence of exhaust gas recirculation on the particles, and studies the impact of a frequency change on the agglomeration of particles. Five scientific papers were published on the subject of the doctoral dissertation: three in publications of the Web of Science database with citation index and two in Conference Proceedings publications of the Web of Science database.
Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
The dissertation was defended at the public meeting of the Dissertation Defence Council of Transport Engineering in the Aula Doctoralis Meeting of Vilnius Gediminas Technical University at 2 p.m. on 11 June 2025.
IC engines are a major contributor to the particulate emissions in the urban areas. These emissions comprise a complex mixture of microscopic particles, which are an important deteriorating factor in human health and air quality. Alternative fuels with higher oxygen content and lower C/H ratios help in reducing particle emissions, while most work carried out on the concept of acoustic agglomeration focuses on its applications in industrial emissions. The application of acoustic agglomeration on the particles emitted from IC engine exhaust is largely unexplored. This dissertation bridges the gap between integrating alternative fuel strategies and acoustic agglomeration technology. The Introduction presents the formulation of the problem, object, and importance of the dissertation, aim, and tasks of the work. It provides the scientific novelty, theoretical and practical value of experiment results, and the list of published scientific publications by the author. The First Chapter reviews various alternative fuels. It focuses on the importance of blending fuels to achieve better results. A lower C/H ratio and higher levels of oxygen content are identified to influence the emissions at similar loads equally. Also, the chapter presents the literature review on the concept of acoustic agglomeration and the results of some of the previous research. The Second Chapter consists of the methodological and theoretical parts of the dissertation. An innovative computational model for acoustic agglomeration has been developed, considering the acoustic wake effect and orthokinetic collision as the predominant first-order effects. The engine setup and the in-house-built acoustic chamber specifications are also presented, along with the different types of alternative fuels used and calculations of their blended properties. The results of the computational and experimental analysis are presented in the Third Chapter. It explains the computational behaviour of particles under the acoustic influence and compares the experimental results on particle emission of selected alternative fuel mixtures to that of diesel fuel. Also, it studies and compares the impact of agglomeration on the particles is studied and compared, presents the influence of exhaust gas recirculation on the particles, and studies the impact of a frequency change on the agglomeration of particles. Five scientific papers were published on the subject of the doctoral dissertation: three in publications of the Web of Science database with citation index and two in Conference Proceedings publications of the Web of Science database.
Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
