Nonlinear Process Modeling in Chemical and Particle Systems
- 1st Edition - May 1, 2026
- Latest edition
- Authors: Lakshmanan Rajendran, Usha Rani R.
- Language: English
Nonlinear Process Modeling in Chemical and Particle Systems delivers a comprehensive guide to the analysis and application of nonlinear models in chemical engineering. Addres… Read more
Nonlinear Process Modeling in Chemical and Particle Systems delivers a comprehensive guide to the analysis and application of nonlinear models in chemical engineering. Addressing the growing demand for simulation-driven design, process optimization, and sustainable innovation, the book integrates nonlinear ordinary and partial differential equations with real-world chemical and particle system applications. Readers are introduced to fundamental principles of nonlinear transport, reaction kinetics, and multiphase systems, followed by advanced treatments of particle dynamics, electrochemical processes, and environmental modeling. Each chapter combines theoretical underpinnings with detailed methods, computational strategies, and practical case studies, ranging from catalytic reactor dynamics to biosensor design and CO₂ capture technologies. The inclusion of both semi-analytical and numerical approaches, alongside predictive analytics and machine learning, ensures that the book speaks equally to mathematical rigor and industrial relevance.
Written for graduate students, researchers, and practicing engineers, this resource provides the skills to model, analyze, and optimize nonlinear processes across a range of chemical engineering applications. Its balance of theory, methods, and applied insights makes it an indispensable reference for advancing research, teaching, and professional practice in the field.
Written for graduate students, researchers, and practicing engineers, this resource provides the skills to model, analyze, and optimize nonlinear processes across a range of chemical engineering applications. Its balance of theory, methods, and applied insights makes it an indispensable reference for advancing research, teaching, and professional practice in the field.
- Provides a unified approach to solving nonlinear ODEs and PDEs in chemical engineering
- Focuses on real-world processes such as reaction-diffusion, catalytic systems, and transport phenomena
- Emphasizes the use of computational techniques, including Matlab and Maple, for simulation and model validation
- Incorporates predictive analytics, AI, and machine learning for process monitoring and optimization
- Supports sustainable process design aligned with global energy and climate goals
- Aims to serve researchers, students, and industry professionals involved in advanced chemical process modeling
Researchers, academic faculty, and advanced students working at the intersection of chemical engineering, applied mathematics, and computational modeling. It is particularly valuable to professionals and scholars involved in reaction engineering, transport phenomena, multiphase systems, and catalysis research
1. Fundamentals of Particle Technology and Multiphase Flow
2. Granular Materials and Nonlinear Transport Dynamics
3. Reaction-Diffusion Kinetics in Catalytic Systems
4. Computational Fluid Dynamics (CFD) for Chemical Process Modeling
5. Advanced ODE/PDE Applications in Chemical Engineering
6. Predictive Analytics and Machine Learning in Reaction Engineering
2. Granular Materials and Nonlinear Transport Dynamics
3. Reaction-Diffusion Kinetics in Catalytic Systems
4. Computational Fluid Dynamics (CFD) for Chemical Process Modeling
5. Advanced ODE/PDE Applications in Chemical Engineering
6. Predictive Analytics and Machine Learning in Reaction Engineering
- Edition: 1
- Latest edition
- Published: May 1, 2026
- Language: English
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Lakshmanan Rajendran
Dr. Lakshmanan Rajendran is a Professor of Mathematics at the Academy of Maritime Education and Training (Deemed to be University), Chennai, India. He earned his Ph.D. in Applied Mathematics in 1997 and works extensively in nonlinear differential equations, electrochemical modeling, and mathematical modeling of chemical and physical systems. Over his career, he has authored more than 400 SCI-indexed international papers, 250 national publications, and four academic books. He has completed six funded research projects and guided over 50 Ph.D. scholars. An active reviewer for leading international journals, Dr. Rajendran has also represented Indian research globally, with academic visits to Germany, Poland, and the UAE through INSA fellowships, contributing to international collaboration in applied mathematics.
Affiliations and expertise
Professor of Mathematics, Academy of Maritime Education and Training (Deemed to be University), Chennai, IndiaUR
Usha Rani R.
Dr. R. Usha Rani is an Associate Professor of Mathematics at Meenakshi College of Engineering, Chennai. She earned her Ph.D. in Nonlinear Differential Equations from AMET University in 2022. Her research centers on analytical and numerical solutions of complex differential equations in chemical and environmental systems, including nonlinear reaction-diffusion processes, CO₂ sequestration, and biosensor modeling. She has published her findings in international peer-reviewed journals and actively engages in interdisciplinary research that connects mathematics with chemical and biological sciences. Dr. Usha Rani has contributed to the applied and computational aspects of several projects, focusing on asymptotic and semi-analytical methods for nonlinear systems in catalytic and porous media and multiphase transport problems. Her work also includes developing case studies, solving partial differential equations, preparing visual content, and applying computational tools to illustrate the practical relevance of mathematical modeling. Her interdisciplinary approach bridges theoretical mathematics with chemical engineering practice.
Affiliations and expertise
Associate Professor of Mathematics, Meenakshi College of Engineering, Chennai, India