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"This collection is dedicated to the 70th jubilee of Yu. N. Savchenko, and presents experimental, theoretical, and numerical investigations written by an international group of well-known authors. The contributions solve very important problems of the high-speed hydrodynamics,such as supersonic motion in water, drag diminishing, dynamics and stability of supercavitating vehicles, water entry and hydrodynamic performances of hydrofoils, ventilated cavities after a disc and under the ship bottom. "

"Based on fundamental principles of turbomachinery thermo-fluid mechanics, numerous CFD based calculation methods are being developed to simulate the complex 3-dimensional, highly unsteady turbulent flow within turbine or compressor stages. The objective of this book is to present the fundamental principles of turbomachinery fluid-thermodynamic design process of turbine and compressor components, power generation and aircraft gas turbines in a unified and compact manner. This book for understanding turbomachinery performance and flow complexes.While maintaining the unifying character of the book structure in this second revised and extended edition all chapters have undergone a rigorous update and enhancement. Accounting for the need of the turbomachinery community, three chapters have been added, that deal with computationally relevant aspects of turbomachinery design such as boundary layer transition, turbulence and boundary layer."

"This book focuses on the two-phase flow problems relevant in the automotive and power generation sectors. It includes fundamental studies on liquid-gas two-phase interactions, nucleate and film boiling, condensation, cavitation, suspension flows as well as the latest developments in the field of two-phase problems pertaining to power generation systems. It also discusses the latest analytical, numerical and experimental techniques for investigating the role of two-phase flows in performance analysis of devices like combustion engines, gas turbines, nuclear reactors and fuel cells. The wide scope of applications of this topic makes this book of interest to researchers and professionals alike."

"Interfacial fluid mechanics: a mathematical modeling approach provides an introduction to mathematical models of viscous flow used in rapidly developing fields of microfluidics and microscale heat transfer. The basic physical effects are first introduced in the context of simple configurations and their relative importance in typical microscale applications is discussed. Then, several configurations of importance to microfluidics, most notably thin films/droplets on substrates and confined bubbles, are discussed in detail. Topics from current research on electrokinetic phenomena, liquid flow near structured solid surfaces,evaporation/condensation, and surfactant phenomena are discussed in the later chapters."

"Separator siklon memainkan peran penting dalam berbagai aplikasi industri, terutama dalam penyaringan partikel untuk perlindungan lingkungan dan kesehatan. Selama beberapa tahun terakhir, telah terjadi proses modifikasi pada berbagai sistem separator, termasuk desain siklon inovatif yang menarik perhatian karena mampu meningkatkan efisiensi pemisahan. Studi ini menggunakan Response Surface Methodology (RSM), Artificial Neural Network (ANN), dan Multi Objective Genetic Algorithm (MOGA) untuk mengoptimalkan kinerja separator siklon tipe double-inlet dan lapple. Melalui simulasi dan analisis statistik, studi ini menyelidiki pengaruh tipe siklon dan kecepatan aliran masuk terhadap efisiensi total, efisiensi pemisahan per fraksi (grade removal efficiency), dan penurunan tekanan. Hasil penelitian menunjukkan keunggulan desain siklon lapple dibandingkan separator siklon double-inlet. Model RSM dan ANN menunjukkan tingkat akurasi prediksi yang tinggi, dengan nilai R² yang mengindikasikan korelasi kuat terhadap data aktual. Kondisi operasi optimal yang diidentifikasi adalah penggunaan siklon tipe lapple dengan kecepatan aliran masuk 18,52 m/s, menghasilkan efisiensi total sebesar 88,89%, penurunan tekanan sebesar 1771,39 Pa, dan efisiensi pemisahan per fraksi sebesar 82,44%. Hasil ini memberikan wawasan untuk meningkatkan kinerja separator siklon. Penelitian ini menegaskan efektivitas RSM, ANN, dan MOGA dalam optimalisasi separator siklon.

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Cyclone separators play a crucial role in various industrial applications, particularly in particle filtration for environmental and health protection. Over the past few years, the process of modifying different systems has been taking place of cyclones, such as the innovative cyclone design, has garnered attention for enhancing separation efficiency. This study used Response Surface Methodology (RSM), Artificial Neural Network (ANN), and Multi Objective Genetic Algorithm (MOGA) for optimizing the performance of both double-inlet and lapple cyclone separators. Through simultion and statistical analysis, the study investigates the impacts of cyclone type and inlet velocity on total efficiency, grade removal efficiency, and pressure drop. The results demonstrate the superiority of the lapple cyclone design over the double inlet cyclone separator. The RSM and ANN models exhibit high predictive accuracy, with R² values indicating strong correlations with actual data. Optimal operating conditions for the cyclone have been identified with the cyclone type is lapple cyclone and the inlet velocity 18.52 m/s, resulting total efficiency of 88.89%, pressure drop of 1771.39 Pa, and grade removal efficiency of 82.44%, providing insights for improving cyclone separator performance. This research highlights the effectiveness of RSM, ANN, and MOGA in optimizing cyclone separators."