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Learn Design And Simulation Of Chemical Plants And Equipment - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Learn Design And Simulation Of Chemical Plants And Equipment (/Thread-Learn-Design-And-Simulation-Of-Chemical-Plants-And-Equipment--236531) |
Learn Design And Simulation Of Chemical Plants And Equipment - OneDDL - 11-28-2023 ![]() Free Download Learn Design And Simulation Of Chemical Plants And Equipment Published 11/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 12.68 GB | Duration: 14h 37m Learn from chemical industry expert. Enhance you market value. What you'll learn Whether you're a seasoned professional or a student aspiring to enter the industry, this course is designed to equip you with the knowledge and skills . In this course, we delve into the key concepts and methodologies of design and simulation. We start by exploring the fundamentals, differentiating between design and simulation and discussing their respective roles in chemical engineering. We then explore two fundamental approaches: phenomenological model-based simulation and data-driven machine learning-based simulation. We take a hands-on approach, utilizing Aspen, a leading simulation software widely used in the industry. Speaking of machine learning, we delve into its foundations, understanding the key terms and concepts. Requirements Preliminary knowledge of Aspen and Matlab is desirable bt not neccessary. Description Introducing Learn Design and Simulation of chemical plants and equipment from Industry Expert.Are you ready to take your skills in chemical engineering to the next level? Look no further! We are thrilled to present our comprehensive online course on Design and Simulation of chemical plants and equipment. Whether you're a seasoned professional or a student aspiring to enter the industry, this course is designed to equip you with the knowledge and skills needed to excel in the field.Why learn design and simulation in the chemical industry? The answer is simple: it is the backbone of modern chemical engineering. Simulation allows engineers to predict and optimize process behavior, minimize risks, and improve efficiency. By understanding the principles and techniques of design and simulation, you gain a competitive edge and open up a world of possibilities in your career.In this course, we delve into the key concepts and methodologies of design and simulation. We start by exploring the fundamentals, differentiating between design and simulation and discussing their respective roles in chemical engineering. We then explore two fundamental approaches: phenomenological model-based simulation and data-driven machine learning-based simulation. By understanding the advantages and disadvantages of these approaches, you will be able to choose the most suitable method for different scenarios.We take a hands-on approach, utilizing Aspen, a leading simulation software widely used in the industry. You will be guided through various simulations, starting with property analysis, flash drum simulation, pump and pipeline simulation, heat exchanger simulation, and reactor simulation. We cover both basic and advanced simulations, including plug flow reactors, CSR, batch reactors, industrial ethylene glycol and ethyl acetate reactors, and more.A significant portion of the course is dedicated to distillation column simulation. You will gain an overview of different distillation column models available in Aspen, including DSTWU and Radfrac rigorous distillation simulations. We also provide a comprehensive case study involving six distillation column simulations, including an industrial benzene column simulation. Additionally, we explore how to identify the optimum feed tray location, and we introduce the exciting topic of simulation by machine learning, discussing its relevance and the steps involved.Speaking of machine learning, we delve into its foundations, understanding the key terms and concepts. You will learn how to clean data, detect outliers, handle missing values, and encode data for machine learning purposes. We guide you through the steps of developing a data-driven regression model, including model selection and performance evaluation. Through engaging case studies, such as bioreactors and soft sensors in distillation columns, you will witness the practical application of machine learning in simulation.Course Content: Design and Simulation of chemical plants and equipmentSection 1: Introduction· Why learn design and simulation in the chemical industry?· Understanding the concept of simulation· Differentiating between design and simulation in chemical engineeringSignificance: This section provides an overview of the course, highlighting the importance of design and simulation in the chemical industry. It sets the foundation for understanding the subsequent topics and their practical applications.Section 2: Two Fundamental Approaches of Modeling and Simulation· Phenomenological model-based simulation and its advantages and disadvantages· Data-driven machine learning-based simulation and its advantages and disadvantagesSignificance: This section introduces the two fundamental approaches to modeling and simulation in chemical engineering, allowing learners to understand the strengths and weaknesses of each method. It helps learners make informed decisions about choosing the appropriate approach for specific scenarios.Section 3: Aspen-Based Simulation· Walkthrough of the Aspen software interface· First Aspen-based simulationSignificance: This section familiarizes learners with the popular Aspen simulation software, providing hands-on experience in navigating the interface and conducting their first simulation. It builds confidence and prepares learners for more advanced simulations throughout the course.Section 4: Property Analysis· Understanding the property analysis quick method assistant· Pure component property analysis· Property analysis of binary mixtureSignificance: Property analysis is a crucial step in chemical engineering design and simulation. This section guides learners in analyzing properties efficiently, ensuring accurate simulation results. It covers both single-component and binary mixture analyses.Section 5: Flash Drum Simulation· Separated simulationSignificance: Flash drum simulation is commonly used in chemical processes. This section covers the simulation of flash drums and explores separated simulation techniques, providing learners with practical knowledge in simulating and optimizing these operations.Section 6: Pump and Pipeline Simulation· Simulating pump and pipeline systemsSignificance: Pump and pipeline systems are integral components of chemical processes. This section teaches learners how to simulate and analyze these systems, considering factors such as pressure drop, flow rates, and efficiency.Section 7: Heat Exchanger Simulation· Simple heat exchanger simulation· Rigorous heat exchanger simulationSignificance: Heat exchangers play a vital role in energy transfer within chemical processes. This section covers both simplified and rigorous heat exchanger simulations, enabling learners to optimize heat transfer and improve process efficiency.Section 8: Reactor Simulation· Plug flow reactor simulation· CSR simulation· Batch reactor simulation· Industrial ethylene glycol reactor simulation· Gibbs reactor simulation· Industrial ethyl acetate reactor simulationSignificance: Reactor simulation is crucial for understanding chemical reactions and optimizing reactor designs. This section covers various reactor types and their simulations, allowing learners to analyze reaction kinetics, conversion rates, and select the appropriate reactor configuration for specific applications.Section 9: Distillation Column Simulation· Overview of different models of distillation columns available in Aspen· DSTWU module· Radfrac rigorous distillation simulation· Case study of 6 distillation column simulations, including an industrial benzene column simulation· Identifying optimum feed tray locationSignificance: Distillation is a widely used separation technique in the chemical industry. This section explores different distillation column models and simulations, including rigorous distillation simulations. Learners gain insights into optimizing column design, tray location, and achieving desired separation efficiency.Section 10 : Simulation by Machine Learning· Case study of bioreactors simulation by machine learning· Steps to develop a machine learning model· Regression learner tools· Data preparation for machine learning· Model selection for machine learning simulations· Performance evaluation of the developed model· Visualizing simulation resultsSignificance: This section explores the application of machine learning in simulation. Learners will understand when and how to utilize machine learning techniques for simulation purposes. The case study on bioreactors demonstrates the practical implementation of machine learning models in chemical engineering processes. Learners will gain insights into data preparation, model selection, performance evaluation, and result visualization, enabling them to apply machine learning effectively in their own simulations.Section 11: Case Study to Develop a Soft Sensor in Distillation Column· Developing a soft sensor using simulation data· Understanding the role of soft sensors in distillation columns· Practical implementation of a soft sensor for real-time monitoring and controlSignificance: Soft sensors play a crucial role in distillation column operations, providing real-time monitoring and control. In this case study, learners will learn how to develop a soft sensor using simulation data and understand its significance in optimizing distillation processes.Section 12: Case Study: Industrial Catalytic Reactor Simulation· Simulation of an industrial catalytic reactor· Analyzing reaction kinetics and reactor performance· Optimization of operating conditions for improved productivitySignificance: This case study focuses on simulating an industrial catalytic reactor, allowing learners to explore reaction kinetics, reactor performance, and the optimization of operating conditions. Learners will gain practical knowledge in simulating and improving the efficiency of catalytic reactors.Conclusion:This comprehensive online course on Design and Simulation in Chemical Engineering covers essential topics, techniques, and case studies to equip learners with the knowledge and skills needed to excel in the field. By understanding the principles of design and simulation, as well as gaining hands-on experience using industry-standard software and machine learning techniques, learners will be well-prepared to tackle real-world challenges in chemical engineering. Enroll in this course today and embark on a journey of professional growth and mastery in design and simulation.Join us on this exciting journey as we equip you with the skills to design and simulate chemical engineering processes effectively. Our expert instructors bring years of industry experience and a passion for teaching, ensuring that you receive top-quality instruction and guidance throughout the course. Take the first step towards mastering design and simulation in chemical engineering and enroll in our course today! Overview Section 1: Introduction and course overview Lecture 1 Introduction Lecture 2 Why to learn design and simulation in the chemical industry? Section 2: Understanding the concept of design and simulation Lecture 3 Understanding the concept of simulation Lecture 4 Differentiating between design and simulation Section 3: Two Fundamental Approaches of Modeling and Simulation Lecture 5 Two Fundamental Approaches of Modeling and Simulation Lecture 6 Comparitive Advantages and Disadvantages Section 4: Aspen based simulation Lecture 7 Overview of flowsheet simulation Lecture 8 Run the first Aspen simulation Lecture 9 Introduction part2 Lecture 10 Assessing the variable in Aspen Section 5: Chemical Property Analysis in Aspen for accurate simulation results Lecture 11 Propert Analysis: What is it? Lecture 12 Guideline for selecting appropriate proety method Lecture 13 How to calculate pure component property of any compund? Lecture 14 How to calculate properties of any binary mixtures? Lecture 15 How to calculate properties of any ternary mixtures? Section 6: Simlation of Flash drum and separators Lecture 16 SImulation of mixer and splitter Lecture 17 Flash drum simulation Lecture 18 Simualtion of separator Section 7: Design of pump ,compressor and pipeline Lecture 19 Pump Lecture 20 Pressure changer overview Lecture 21 Design of pipeline Section 8: Design and simulation of heat exchanger Lecture 22 Overview Lecture 23 Heat exchanger simulation Lecture 24 heat excahnger simulation2 Lecture 25 Rigorous heatechanger design and simulation Section 9: Design and simualtion of Reactor Lecture 26 Reactor overview Lecture 27 Batch reactor simulation 1 Lecture 28 Batch Reactor simlation 2 Lecture 29 Plug flow reactor Lecture 30 CSTR Lecture 31 Gibbs Reactor Lecture 32 Case study : Ethylene glycol reactor Lecture 33 Case study : Ethyl acetate reactor Section 10: Design and SImulation of distillation column Lecture 34 Overview of distillation column simulation Lecture 35 Firststep of distillation column design Lecture 36 Distillation column simulation : casrstudy1 Lecture 37 Distillation column simulation : casrstudy2 Lecture 38 Distillation column simulation : casrstudy3 Lecture 39 Distillation column simulation : casrstudy4 Lecture 40 Distillation column simulation : casrstudy5 Lecture 41 Distillation column simulation : casrstudy6 Lecture 42 Distillation column simulation : Benene column Lecture 43 Overview of rigoruos distillation simulation Lecture 44 Radfrac Lecture 45 Optimum feed tray location Section 11: Design spec and sensitivity analysis Features in Aspen Lecture 46 Design spec Lecture 47 Sensitivity Lecture 48 Sensitivity 2 Lecture 49 Sensitivity analysis case study Section 12: Overview of machine learning in design and simulation Lecture 50 Machine learning : what is it ? Lecture 51 Regression analysis Lecture 52 Overfitting and undetfitting Lecture 53 Definitions and components of machine learning Section 13: Steps to build model by machine learning Lecture 54 Steps Section 14: Data cleaning and data preprocessing Lecture 55 Data Preprocessing Lecture 56 Outlier Lecture 57 Outliers detection Section 15: How to build ML models? Lecture 58 Regression model Lecture 59 Performance of regression Section 16: How to build machine learning based simulations Lecture 60 Matlab regression learner app Lecture 61 Steps Lecture 62 Import data Lecture 63 Identify model type Lecture 64 Rn and evalate performnace Lecture 65 Result interpretation Section 17: Casestudy : BioReactor simulation Lecture 66 Bio reactor simulation part1 Lecture 67 Bio reactor simulation part2 Lecture 68 Bio reactor simulation part3 Lecture 69 Bio reactor simulation part4 Section 18: Data driven catalytic reactor simulation Lecture 70 catalytic reactor simulation part1 Lecture 71 catalytic reactor simulation part2 Lecture 72 catalytic reactor simulation part3 Section 19: Real life case study to build softsensor for distillation column Lecture 73 Real life case study to build softsensor for distillation column part1 Lecture 74 Real life case study to build softsensor for distillation column part2 Lecture 75 Real life case study to build softsensor for distillation column part3 Whether you're a seasoned professional or a student aspiring to enter the industry, this course is designed to equip you with the knowledge and skills needed to excel in the field.,Chemical negineering students (under gradate or post graduate),Process engineers working in chemical industry,Chemical engineers working in chemical industry,Supervisors,technicians,operators working in chemical industry,Simulation and design engineers Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Rapidgator [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] Uploadgig[To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] Nitroflare[To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] Fikper[To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] [To see links please register or login] No Password - Links are Interchangeable |