Download Design and Simulation of Chemical Plants and Equipment Course

Design and Simulation of Chemical Plants and Equipment udemy video course download, Learn Aspen Simulation and Machine Learning Techniques to Simulate and Optimize Chemical Processes from industry expert.

What you’ll learn

  • Module 1 provides an overview of the course, highlighting the importance of design and simulation in the chemical industry.
  • Module 2 introduces the two fundamental approaches to simulation in chemical engineering, allowing learners to understand the strengths and weaknesse.
  • Modulen3 familiarizes learners with the popular Aspen simulation software, providing hands-on experience in navigating the Aspen simulator interface.
  • Module 4 guides learners in analyzing properties efficiently, ensuring accurate simulation results. It covers both single-component and binary mixture analyses.
  • Module 5 covers the simulation of flash drums and explores separator simulation techniques, providing learners with practical knowledge in simulation.
  • Module 6 teaches learners how to simulate and analyze these systems, considering factors such as pressure drop, flow rates, and efficiency.
  • Module 7 covers both simplified and rigorous heat exchanger simulations, enabling learners to optimize heat transfer and improve process efficiency.
  • Module 8 covers various reactor types and their simulations, allowing learners to analyze reaction kinetics, conversion rates, select the appropriate reactor.
  • Module 9 explores different distillation column models and simulations, including rigorous distillation simulations. You gain insights into optimizing column.
  • Module 10 explores the application of machine learning in simulation. You will understand when and how to utilize machine learning techniques for simulation.
  • Module 11 discusses real-life Case Study to Develop a Soft Sensor in Distillation Column.
  • Module 12. discusses real-life Case Study of Industrial Catalytic Reactor Simulation.

Course content:

  • Section 1: Introduction
  • Lecture 1 Introduction and overview of course content
  • Lecture 2 Why to learn Design and Simulation in Chemical Engineering?
  • Lecture 3 What is simulation? Why we do simulation of chemical processes?
  • Lecture 4 What is the difference between Design and Simulation?
  • Section 2: Two Fundamental approach of modelling and simulation
  • Lecture 5 Two types of simulation
  • Lecture 6 Comparison of two types of simulations
  • Section 3: What is Simulation?
  • Lecture 7 what is simulation?
  • Lecture 8 Unlocking the first simulation
  • Lecture 9 Unlocking the first simulation part2
  • Lecture 10 Accessing variables
  • Section 4: Property Analysis
  • Lecture 11 Understand Property analysis
  • Lecture 12 Quick method assistance
  • Lecture 13 Pure component property analysis
  • Lecture 14 Property analysis of binary mixture
  • Section 5: Flash Drum simulation
  • Lecture 15 Flash drum simulation
  • Lecture 16 Separator Simulation
  • Section 6: Pump and Pipeline simulation
  • Lecture 17 Pressure Changer
  • Lecture 18 Pump simulation
  • Lecture 19 Pipeline Simulation
  • Section 7: Heat Exchanger simulation
  • Lecture 20 Heat Exchanger simulation overview
  • Lecture 21 Simple Heat Exchanger Simulation
  • Lecture 22 Heater Simulation
  • Lecture 23 Rigorous Heat exchanger simulation
  • Section 8: Reactor Simulation
  • Lecture 24 Understanding Reactor simulation
  • Lecture 25 Plug flow reactor simulation
  • Lecture 26 CSTR simulation
  • Lecture 27 Batch reactor simulation
  • Lecture 28 Batch reactor part 2
  • Lecture 29 Ethylene glycol reactor
  • Lecture 30 Gibbs Reactor
  • Lecture 31 Ethyl Acetate Reactor
  • Section 9: Distillation column simulation
  • Lecture 32 Overview of Distillation column
  • Lecture 33 DSTWU module
  • Lecture 34 Radfrac rigorous distillation
  • Lecture 35 Radfrac 2
  • Lecture 36 Distillation column simulation 1
  • Lecture 37 Distillation column simulation 2
  • Lecture 38 Distillation column simulation 3
  • Lecture 39 Distillation column simulation 4
  • Lecture 40 Distillation column simulation 5
  • Lecture 41 Distillation column simulation 6
  • Lecture 42 Benzene column simulation
  • Lecture 43 Optimum feed tray identification
  • Section 10: Simulation by Machine Learning
  • Lecture 44 What is machine learning?
  • Lecture 45 Understanding Machine learning terms
  • Section 11: Steps of simulation by machine learning
  • Lecture 46 Steps
  • Lecture 47 Data Cleaning
  • Lecture 48 Outlier
  • Lecture 49 Detecting outlier
  • Lecture 50 Handling missing value
  • Lecture 51 Data Encoding
  • Section 12: Data driven regression model development
  • Lecture 52 Regression analysis
  • Lecture 53 Performance of regression
  • Lecture 54 How to use performnace matrices
  • Lecture 55 Over fitting and under fitting
  • Section 13: Case study of Bio Reactor simulation
  • Lecture 56 Bio Reactor Simulation part1
  • Lecture 57 Bio Reactor Simulation part2
  • Lecture 58 Bio Reactor Simulation part3
  • Lecture 59 Bio Reactor Simulation part4
  • Section 14: Developing machine learning models
  • Lecture 60 Regression Learner tools
  • Lecture 61 Steps to develop ML models
  • Lecture 62 data Preparation
  • Lecture 63 Model selection
  • Lecture 64 Performance evaluation of developed model
  • Lecture 65 Visualize data
  • Section 15: Case study to develop soft sensor in a distillation column
  • Lecture 66 Soft sensor development part1
  • Lecture 67 Soft sensor development part2
  • Lecture 68 Soft sensor development part3
  • Section 16: Case study catalytic reactor simulation
  • Lecture 69 catalytic reactor simulation part1
  • Lecture 70 catalytic reactor simulation part2
  • Lecture 71 catalytic reactor simulation part3

Who this course is for

  • Chemical Engineering students
  • Professional chemical engineers working in industry
  • Process engineer
  • Production engineer
  • Instrument engineer working in chemical industry
  • Operator and technicians working in chemical industry
  • Faculties in chemicals and allied engineering working in technical colleges

Course details

  • Movie quality: MP4 | Video: h264, 1280 × 720
  • Audio quality: Audio: AAC, 44.1 KHz, 2 Ch
  • Movie duration: 13h 49m
  • Number of lessons: 16 Section and 71 lectures
  • Language of instruction: English
  • Compressed file size: 7.7 GB
4.7/5 - (24 votes)

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