Sabyasachi Mondal – författare

Nanofluid Applications in Thermal Engineering: Advanced Numerical Investigations delves into the forefront of scientific research, exploring advanced numerical techniques for modeling nanofluids in thermal engineering. Featuring cutting-edge computational simulations, it offers invaluable insights into optimizing heat transfer processes using hybrid and ternary nanofluids. From thermophysical and rheological analyses to exploring the thermal performance of magnetic power-law hybrid nanofluids, the book provides a comprehensive overview of the latest developments. By addressing daily challenges faced in research, such as selecting appropriate numerical methods and bridging the gap between mathematical models and real-world problems, this book serves as a guide for navigating complex nanofluid applications. Topics explore advanced numerical modeling of hybrid and ternary nanofluids, the effects of internal heat generation and chemical reactions in porous media, and the magneto thermal aspects of ternary composite nanomaterials. With a focus on real-life applications, such as Darcy-Forchheimer flow with Marangoni convection and thermal control for Casson hybrid nanofluid flow, this book equips readers with the knowledge needed to navigate complex nanofluid models in thermal engineering systems effectively. For thermal engineers and nanofluids researchers seeking to enhance their understanding and practical applications, this book is a vital resource.Explores advanced numerical techniques for modeling nanofluids in thermal engineeringDelivers insights into cutting-edge computational simulations for optimizing heat transfer processesExplains the behavior of hybrid and ternary nanofluids through detailed analysisShowcases innovative applications of nanofluids in diverse thermal engineering systemsBridges interdisciplinary knowledge that is essential for research and practical applications in mathematical modeling

Nanofluid Applications in Thermal Engineering: Advanced Numerical Investigations delves into the forefront of scientific research, exploring advanced numerical techniques for modeling nanofluids in thermal engineering. Featuring cutting-edge computational simulations, it offers invaluable insights into optimizing heat transfer processes using hybrid and ternary nanofluids. From thermophysical and rheological analyses to exploring the thermal performance of magnetic power-law hybrid nanofluids, the book provides a comprehensive overview of the latest developments. By addressing daily challenges faced in research, such as selecting appropriate numerical methods and bridging the gap between mathematical models and real-world problems, this book serves as a guide for navigating complex nanofluid applications. Topics explore advanced numerical modeling of hybrid and ternary nanofluids, the effects of internal heat generation and chemical reactions in porous media, and the magneto thermal aspects of ternary composite nanomaterials. With a focus on real-life applications, such as Darcy-Forchheimer flow with Marangoni convection and thermal control for Casson hybrid nanofluid flow, this book equips readers with the knowledge needed to navigate complex nanofluid models in thermal engineering systems effectively. For thermal engineers and nanofluids researchers seeking to enhance their understanding and practical applications, this book is a vital resource. - Explores advanced numerical techniques for modeling nanofluids in thermal engineering- Delivers insights into cutting-edge computational simulations for optimizing heat transfer processes- Explains the behavior of hybrid and ternary nanofluids through detailed analysis- Showcases innovative applications of nanofluids in diverse thermal engineering systems- Bridges interdisciplinary knowledge that is essential for research and practical applications in mathematical modeling

This book covers a wide range of topics such as mathematical modeling, computational methods, simulation techniques in engineering, and their applications in environmental sciences. It begins with an introduction to the fundamental concepts and principles of mathematical modeling with subsequent sections delving into various simulation techniques, including numerical methods, statistical modeling, and bio-mathematical modeling. It also explores the application of these techniques in addressing complex environmental problems.Features:Covers mathematical and computational modeling techniques for simulation in engineering, mathematical, and environmental domainsExplores intelligent techniques and simulation methods to enhance accuracy and efficiency in modeling and simulationIncludes practical applications and studies that demonstrate the effectiveness of techniques in real-world scenariosIncorporates pertinent newly developed methodologies and applicationsDiscusses CFD software tools like Fortran, MATLAB®, and MathematicsThis book is aimed at researchers and graduate students in computer engineering, applied mathematics, and applied ecology.

This book covers a wide range of topics such as mathematical modeling, computational methods, simulation techniques in engineering, and their applications in environmental sciences. It begins with an introduction to the fundamental concepts and principles of mathematical modeling with subsequent sections delving into various simulation techniques, including numerical methods, statistical modeling, and bio-mathematical modeling. It also explores the application of these techniques in addressing complex environmental problems.

Features:

Covers mathematical and computational modeling techniques for simulation in engineering, mathematical, and environmental domains Explores intelligent techniques and simulation methods to enhance accuracy and efficiency in modeling and simulation Includes practical applications and studies that demonstrate the effectiveness of techniques in real-world scenarios Incorporates pertinent newly developed methodologies and applications Discusses CFD software tools like Fortran, MATLAB®, and Mathematics

This book is aimed at researchers and graduate students in computer engineering, applied mathematics, and applied ecology.

This book covers a wide range of topics such as mathematical modeling, computational methods, simulation techniques in engineering, and their applications in environmental sciences. It begins with an introduction to the fundamental concepts and principles of mathematical modeling with subsequent sections delving into various simulation techniques, including numerical methods, statistical modeling, and bio-mathematical modeling. It also explores the application of these techniques in addressing complex environmental problems.

Features:

Covers mathematical and computational modeling techniques for simulation in engineering, mathematical, and environmental domains Explores intelligent techniques and simulation methods to enhance accuracy and efficiency in modeling and simulation Includes practical applications and studies that demonstrate the effectiveness of techniques in real-world scenarios Incorporates pertinent newly developed methodologies and applications Discusses CFD software tools like Fortran, MATLAB®, and Mathematics

This book is aimed at researchers and graduate students in computer engineering, applied mathematics, and applied ecology.

The "e;North East India AI Summit: Unravelling Trends (NEIAIS 2025)"e; served as a vibrant platform for the exchange of cutting-edge ideas and research in the field of Artificial Intelligence, with a strong emphasis on both foundational theo?ries and real-world applications. The summit brought together experts, researchers, and enthusiasts to explore critical areas including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Smart Systems, IoT Security, Network Technology, and Artificial Intelligence in Healthcare and Biomedical Applications. Discussions also delved into emerging trends and computational techniques, highlighting the transformative potential of AI in addressing complex, real-world challenges. The conference received an overwhelming response, attracting more than 120 research paper submissions from various regions of India and abroad. After a rigorous review process, 55 high-quality papers were accepted, out of which over 44 papers were registered for presentation at the summit. By fostering interdisciplinary col?laboration and showcasing impactful innovations, NEIAIS 2025 aims to inspire sustained research, technological growth, and broader societal benefits.

The "e;North East India AI Summit: Unravelling Trends (NEIAIS 2025)"e; served as a vibrant platform for the exchange of cutting-edge ideas and research in the field of Artificial Intelligence, with a strong emphasis on both foundational theo?ries and real-world applications. The summit brought together experts, researchers, and enthusiasts to explore critical areas including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Smart Systems, IoT Security, Network Technology, and Artificial Intelligence in Healthcare and Biomedical Applications. Discussions also delved into emerging trends and computational techniques, highlighting the transformative potential of AI in addressing complex, real-world challenges. The conference received an overwhelming response, attracting more than 120 research paper submissions from various regions of India and abroad. After a rigorous review process, 55 high-quality papers were accepted, out of which over 44 papers were registered for presentation at the summit. By fostering interdisciplinary col?laboration and showcasing impactful innovations, NEIAIS 2025 aims to inspire sustained research, technological growth, and broader societal benefits.

The “North East India AI Summit: Unravelling Trends (NEIAIS 2025)” served as a vibrant platform for the exchange of cutting-edge ideas and research in the field of Artificial Intelligence, with a strong emphasis on both foundational theo□ries and real-world applications. The summit brought together experts, researchers, and enthusiasts to explore critical areas including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Smart Systems, IoT Security, Network Technology, and Artificial Intelligence in Healthcare and Biomedical Applications. Discussions also delved into emerging trends and computational techniques, highlighting the transformative potential of AI in addressing complex, real-world challenges. The conference received an overwhelming response, attracting more than 120 research paper submissions from various regions of India and abroad. After a rigorous review process, 55 high-quality papers were accepted, out of which over 44 papers were registered for presentation at the summit. By fostering interdisciplinary col□laboration and showcasing impactful innovations, NEIAIS 2025 aims to inspire sustained research, technological growth, and broader societal benefits.