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Methods in Industrial Biotechnology for Chemical Engineers

By Smarandache, Florentin

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Book Id: WPLBN0002828366
Format Type: PDF (eBook)
File Size: 2.50 mb
Reproduction Date: 7/29/2013

Title: Methods in Industrial Biotechnology for Chemical Engineers  
Author: Smarandache, Florentin
Language: English
Subject: Non Fiction, Science, Industrial Biotechnology
Collection: Authors Community
Subcollection: Technology
Publication Date:
Publisher: World Public Library
Member Page: Florentin Smarandache

This book has six chapters. First chapter gives a brief description of biotechnology. Second chapter deals will proper proportion of mix of raw materials in cement industries to minimize pollution using fuzzy control theory. Chapter three gives the method of determination of temperature set point for crude oil in oil refineries. Chapter four studies the flow rates in chemical industries using fuzzy neutral networks. Chapter five gives the method of minimization of waste gas flow in chemical industries using fuzzy linear programming. The final chapter suggests when in these studies indeterminancy is an attribute or concept involved, the notion of neutrosophic methods can be adopted. The authors feel that the reader should be well versed with fuzzy models like neural networks, fuzzy relational equations, fuzzy control theory, fuzzy linear programming and neutrosophic fuzzy models like NRE together with a knowledge of the technical functioning of chemical industries.

Industrial Biotechnology is an interdisciplinary topic to which tools of modern biotechnology are applied for finding proper proportion of raw mix of chemicals, determination of set points, finding the flow rates etc., This study is significant as it results in better economy, quality product and control of pollution. The authors in this book have given only methods of industrial biotechnology mainly to help researchers, students and chemical engineers. Since biotechnology concerns practical and diverse applications including production of new drugs, clearing up pollution etc. we have in this book given methods to control pollution in chemical industries as it has become a great health threat in India. In some cases, the damage due to environmental pollution outweighs the benefits of the product.

2.4 Finding the MIX of raw materials in proper proportion and minimize the waste dust using fuzzy neural network. The study of proper proportions of material mix during the clinkerization process is very difficult due to inconsistency in the chemical and mineralogical composition and the variation of these characteristic affects kiln operation, fuel consumption, clinker quality and above all the amount of CKD vent into the atmosphere. Further the raw mix should maintain a fixed range for a specific quality of cement. The problem of satisfying this range involves lot of randomness and uncertainty, which in turn speaks about the desired quality of the clinker.

Table of Contents
Preface 5 Chapter One INTRODUCTION 7 Chapter Two BIOTECHNOLOGY IN CHEMICAL INDUSTIRES 11 2.1 Description of waste CKD in cement kiln 13 2.2 Monitoring and control of the system using FCT and improvement of burning zone and combustion 16 2.3 Determination of gas volume setpoint and temperature set point for CKD processing 26 2.4 Finding the MIX of raw materials in proper proportion and minimize the waste dust using fuzzy neural network 35 Chapter Three DETERMINATION OF TEMPERATURE SET POINTS FOR CRUDE OIL 47 3.1 Introduction 47 3.2 Description of Crude Oil Refineries 48 3.3 Determination of Temperature Set-Point of Kerosene Resulting in Better Distillation Using Fuzzy Control Theory 52 3.4 Determination of Temperature Set Point of Naphtha Resulting in Better Distillation using Fuzzy Control Theory 61 3.5 Determination of Temperature Set-Point of Gasoil Resulting in Better Distillation using Fuzzy Control Theory 69 3.6 Conclusions 78 Chapter Four STUDY OF FLOW RATES IN CHEMICAL PLANTS 79 4.1 Use of FRE in Chemical Engineering 79 4.2 Fuzzy neural networks to estimate velocity of flow distribution in a pipe network 85 4.3 Fuzzy neural networks to estimate three stage counter current extraction unit 86 Chapter Five MINMIZATION OF WASTE GAS FLOW IN CHEMICAL INDUSTRIES 89 Chapter Six USE OF NEUTROSOPHIC RELATIONAL EQUATIONS IN CHEMICAL ENGINEERING 103 6.1 Introduction to Neutrosophic relation and their properties 103 6.2 Use of NRE in Chemical engineering 114 FURTHER READING 117 INDEX 123 ABOUT THE AUTHORS 125


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