Objectives of the Presentation

Slides:



Advertisements
Similar presentations
Enter. Looking for modelling software? Need ways to understand your process better? Looking for specialist to develop process.
Advertisements

1 1 Mechanical Design and Production Dept, Faculty of Engineering, Zagazig University, Egypt. Mechanical Design and Production Dept, Faculty of Engineering,
Process Control: Designing Process and Control Systems for Dynamic Performance Chapter 6. Empirical Model Identification Copyright © Thomas Marlin 2013.
Companies can suffer numerous problems due to poor management of resources and careless decisions. In real-world decision- making, many organizations lack.
Engineering Computation using MATLAB
CS0004: Introduction to Programming Introduction to Programming.
Advanced Topics in Heat, Momentum and Mass Transfer Lecturer Payman Jalali, Docent Faculty of Technology Dept. Energy & Environmental Technology Lappeenranta.
Parallel Computation of the 2D Laminar Axisymmetric Coflow Nonpremixed Flames Qingan Andy Zhang PhD Candidate Department of Mechanical and Industrial Engineering.
MATLAB Presented By: Nathalie Tacconi Presented By: Nathalie Tacconi Originally Prepared By: Sheridan Saint-Michel Originally Prepared By: Sheridan Saint-Michel.
Analysis of Ground Coupled Heat Exchanger Efficiency Brett Walsh Master of Engineering In Mechanical Engineering Rensselaer Polytechnic Institute at Hartford.
Process simulation, optimisation and design. P.S.O.D. ORGANIZATION ISSUES.
Development of Dynamic Models Illustrative Example: A Blending Process
A COMPUTER BASED TOOL FOR THE SIMULATION, INTEGRATED DESIGN, AND CONTROL OF WASTEWATER TREAMENT PROCESSES By P. Vega, F. Alawneh, L. González, M. Francisco,
Finite Element Modeling with COMSOL Ernesto Gutierrez-Miravete Rensselaer at Hartford Presented at CINVESTAV-Queretaro December 2010.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 3 Programming and Software.
Introduction to API Process Simulation
Introduction to R. Statistical Software Statistical software – Wide variety of software tools that researchers use to analyze data – Common examples are.
What is R By: Wase Siddiqui. Introduction R is a programming language which is used for statistical computing and graphics. “R is a language and environment.
Hans-Peter Plag October 2, 2014 Session 1 Introduction to the sessions Elements of Computer Literacy ? ?
S.S. Yang and J.K. Lee FEMLAB and its applications POSTEC H Plasma Application Modeling Lab. Oct. 25, 2005.
Chapter 1 Computing Tools Analytic and Algorithmic Solutions Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
1 A Commentary on CACHE and Software Engineering Software Taskforce (Update for Fall Meeting) Ross Taylor Tunde Ogunnaike.
MathCore Engineering AB Experts in Modeling & Simulation WTC.
Computational Physics Introduction 3/30/11. Goals  Calculate solutions to physics problems  All physics problems can be formulated mathematically. 
1 Computer Programming (ECGD2102 ) Using MATLAB Instructor: Eng. Eman Al.Swaity Lecture (1): Introduction.
Matlab for Engineers About Matlab Chapter 1. Matlab for Engineers What’s in this Chapter? What is Matlab? Student Edition of Matlab How is Matlab used.
About MATLAB® Chapter 1 Welcome to Chapter 1 of MATLAB for Engineers. In this chapter we’ll introduce you to the MATLAB computer software program.
1 3. Computing System Fundamentals 3.1 Language Translators.
Copyright © 2006 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1 Chapter 2.
Lecture 1 - Introduction June 3, 2002 CVEN 302. Lecture’s Goals General Introduction to CVEN Computer Applications in Engineering and Construction.
What is MATLAB? MATLAB is one of a number of commercially available, sophisticated mathematical computation tools. Others include Maple Mathematica MathCad.
The Balance Between Theoretical and Practical Work Within Electrical and Computer Engineering Courses Dr. Bahawodin Baha March Development Partnerships.
Mathematical Equations of CFD
Solution of a Partial Differential Equations using the Method of Lines
Chapter 1 Computing Tools Analytic and Algorithmic Solutions Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Unified Modeling Language. Object Oriented Methods ► What are object-oriented (OO) methods?  OO methods provide a set of techniques for analyzing, decomposing,
Computing System Fundamentals 3.1 Language Translators.
Design and Implementation of Geometric and Texture-Based Flow Visualization Techniques Robert S. Laramee Markus Hadwiger Helwig Hauser.
Lecture 20: Choosing the Right Tool for the Job. What is MATLAB? MATLAB is one of a number of commercially available, sophisticated mathematical computation.
 Programming - the process of creating computer programs.
An Introduction to Computational Fluids Dynamics Prapared by: Chudasama Gulambhai H ( ) Azhar Damani ( ) Dave Aman ( )
Introduction to UML and Rational Rose UML - Unified Modeling Language Rational Rose 98 - a GUI tool to systematically develop software through the following.
Lecture Objectives: Accuracy of the Modeling Software.
1 Programming and problem solving in C, Maxima, and Excel.
Computational Fluid Dynamics Lecture II Numerical Methods and Criteria for CFD Dr. Ugur GUVEN Professor of Aerospace Engineering.
Leverage Big Data With Hadoop Analytics Presentation by Ravi Namboori Visit
Explorations in Computational Science: Mathematica Chemistry
Solving Engineering Problems
Presented by M.S.c Sarah J M Mechanical Engineering Department
Decision Support Systems
Ashima Wadhwa Assistant Professor(giBS)
MET4750 Techniques for Earth System Modeling
Undergraduate Courses
PSCAD models.
Dr. Mingheng Li’s Senior Projects
Software for scientific calculations
Welcome to MATLAB.
PHP / MySQL Introduction
Lecture Objectives: Discuss accuracy of energy simulation and Introduce advance simulation tools Review the course topics Do the Course and Instructor.
(Mohammed Sami) Ashhab
Introduction to Chemical Process Design
VISUAL BASIC.
Verification and Validation Unit Testing
Solving Engineering Problems
Analytical Tools in ME Course Objectives
CHAPTER Five: Collection & Analysis of Rate Data
Simulation And Modeling
Introduction To MATLAB
SIMULATION IN THE FINANCE INDUSTRY BY HARESH JANI
Process Modeling using Aspen Plus
Presentation transcript:

Objectives of the Presentation To introduce the basic chemical computing software Give a primary insight of each of these widely used quantitative tools To help you practice better chemical engineering Help in the decision making process relating to which of these quantitative tools best fit the indented purpose Stimulate an appreciation for chemical computing software

Introduction Every industrial chemical process is designed to produce economically a desired product To analyze the behaviour of a chemical process, a mathematical representation of the physical and/or chemical phenomena occurring is required.

Introduction Contd. Such a mathematical representation constitutes the model of the system The activities leading to the construction of the model is referred to as modelling Computers are valuable tools that enable progressive, far-reaching chemical engineering in modelling of chemical processes

Introduction Contd. Programming software system often used in solving chemical process models include: ASPEN PLUS EXCEL OPEN OFFICE MATLAB Mathematica Polymath MathCad C/C++ FORTRAN

Introduction Contd. Application areas include (but are not limited to) Material and energy balances Thermodynamics Fluid flow Heat transfer Mass transfer Reaction kinetics (including biokinetics) Reactor design and reaction engineering Process design Process control

Microsoft Excel there are open source options which are available to everyone. obtainable in every computer system within the Microsoft Office package. Commonly available spreadsheet tools which is relatively easy to learn and apply. Excellent tool for and not so small problems.

Microsoft Excel contd. Visual Basic Application (VBA) a programming environment that comes with Excel deeply enriches the proficiency of basic Excel spreadsheets Visual Basic Application (VBA) executes its instructions inside MS excel. So by default it inherits the current excel object library and application command. Excel with VBA are utilized in the process industry adding to its appeal VBA is available on systems running Microsoft operating systems and Mac OS.

C/C++; Python; Java; Fortran C/C++ and FORTRAN are compiler-based programming languages. Very powerful but requires good software development, experience and expertise in numerical methods Courses that deal with them must devote large amounts of time to learning the language itself rather than emphasizing problem solving.

Mathematica and MathCad They both present robust built-in methods for solving many common problem types They offer user-friendly interfaces. They are mainly suitable for illustrative problem solving such as performing analytical differentiation or integration and solving differential equations. Literatures are widely available that offer solving chemical engineering problem using MATLAB. Rarely applied in the process industry.

Matrix Laboratory (MATLAB) The most popular of the “proprietary” packages MATLAB presents solid built-in methods for solving many common problem types MATLAB offers a user-friendly interface. Literatures that offer solving chemical engineering problem using MATLAB are widely available. MATLAB is rarely applied in the process industry

PolyMath PolyMath is a specific software package with basis in academia. It is especially suitable for numerous chemical engineering applications Presently there is insufficient literature using PolyMath in chemical engineering applications

ASPEN PLUS It is a commercialized detailed Environment Really good and extremely powerful process simulator The physical properties of many components are saved in a database that users can access An overkill for basic types of modelling problems Requires a steep learning curve Readily applied in the process industry

Comsol Multiphysics The COMSOL multiphysics is a commercial solver and enables simultaneous computation of multiple physics. fluid flow in pipes, momentum transfer an heat transfer models can be developed for the same object and solved simultaneously. Adept to solve real problems that go beyond the simple 1D such as partial differential equations (PDE) Effective in solving, diffusion, diffusion with reaction, steady and unsteady processes consideration and mass transfer problems in 2D and 3D. its user friendly modeling interface and versatility can be extended to fluid-structure simulation.

Comsol Multiphysics contd. Its graphical user interface minimizes the possibility of computer errors. Comsol Multiphysics program comes in many modules. Among various commercial computational fluid dynamics (CFD) software that is available in the current market, the choice of cosmol multiphysics has been preferable. Connections with MATLAB are made with the module LiveLinkTM.

Common source of misconceptions in expressing software use “ Model to Data not “Data to Model” Improper rigorous validation of the formulated model “If you don’t program the method, you haven’t really understood the problem.”

Knowledge shared is everything. Knowledge kept is nothing. One final note Knowledge shared is everything. Knowledge kept is nothing. — Richard Beere, Abbot of Glastonbury (1493 – 1524)

Many thanks for your time