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19.5 MB
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856F7C1AC6BE7295A52F4A4DDE006B229B4F45EC
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March 3, 2026, 12:46 a.m.
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(Last updated: March 3, 2026, 12:46 a.m.)
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| ['Verma A. Process Modelling and Simulation in Chemical,...Engineering 2ed 2026.pdf'] | 0 bytes |
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142.7 MB
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2024-04-08
| Uploaded by indexFroggy | Size 142.7 MB | Health [ 2 /6 ] | Added 2024-04-08 |
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19.5 MB
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2026-03-03
| Uploaded by andryold1 | Size 19.5 MB | Health [ 12 /46 ] | Added 2026-03-03 |
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SOURCE: Verma A. Process Modelling and Simulation in Chemical,...Engineering 2ed 2026
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MEDIAINFO
Textbook in PDF format This book explores effective modelling and simulation approaches for solving equations. It provides a clear explanation of how to simplify complex processes at various levels with the help of a 'model sketch'. The second edition covers modelling of multi-stage processes and multi-stage, multi-phase systems with thermodynamic processes, including reactive distillation. Additionally, process intensification is introduced with modelling of electrochemical processes. A chapter on batch processes in filtration, adsorption, drying, distillation and batch reactors is included, backed by case studies. Presents a systematic approach of model development in view of the simulation need. Discusses modelling techniques to model hydrodynamics, mass and heat transfer, and reactors for single- as well as multi-stage/multi-phase systems. Explores diffusion based on Stefan–Maxwell theory, including principal component analysis. Reviews dynamics models covering process dynamics. Includes enhanced case studies to illustrate simulations, including ANN. This book is aimed at senior undergraduate and graduate students in chemical, biochemical and environmental engineering. Introduction to Modelling and Simulation An Overview of Modelling and Simulation Models Based on Simple Laws Models Based on Laws of Conservation Multi-Phase Systems without Reaction Multi-Phase Systems with Reaction Multi-Stage/Multi-Phase Systems with Thermodynamic Processes Coupled Processes and Process Intensification Dynamic Models Population-Balance Models and Discrete-Event Models Artificial Neural Network–Based Models and Use of AI and ML Model Validation and Sensitivity Analysis Case Studies Simulation of Large Plants
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