Fluid Motion Class Assessment Overview

Course Information

• Course code: KIL 3002
• Course name: Fluid Mechanics 2
• Department: Chemical Engineering
• University: Universiti Malaya

Chapter 1: Introduction to Fluid Dynamics

• Fluid Dynamics is the branch of applied science investigating fluid motion and associated forces.
• Course details and semester assessments are introduced along with the teaching methods and learning materials, including reference books.
• Students will be expected to understand fluid dynamics concepts, including definitions, importance, applications, and study approaches.

Course Outcomes (CO)

• CO1: Solve problems using macroscopic linear momentum balance.
• CO2: Explain the derivation of Cauchy's First Equation of Motion and its reduction to the Navier-Stokes equation, or corresponding non-Newtonian versions.
• CO3: Obtain analytical solutions to simple flow problems, including those for classic non-Newtonian fluids.
• CO4: Analyze solutions of complex flow problems using correlations or CFD software packages.

Course Instructor

• Name: Izzudinizzat
• Email: [email protected]
• Contact number: 03 7967 7657
• Room: 2-10, Block W

Course Synopsis

• Macroscopic Linear Momentum Balance: Students will apply the principles to solve fluid flow problems, considering external forces and various control volumes. This includes momentum conservation principles and their engineering applications.
• Derivation of Cauchy's First Equation of Motion: Students will explore the foundational principles, assumptions, and mathematical formulations of Cauchy's First Equation of Motion. The significance of this equation for Newtonian fluids and its simplification to Navier-Stokes equations will be highlighted.
• Analytical Solutions to Simple Flow Problems: This section focuses on obtaining analytical solutions to classic flow problems involving Newtonian fluids, employing methodologies and techniques for solving differential equations (boundary layer theory, potential flow).
• Analyzing Complex Flow Problems: Students will analyze complex flow problems using correlations and computational fluid dynamics (CFD) software packages. They will learn to interpret simulation results and validate the findings against theoretical predictions. This prepares them to address real-world problems in fluid dynamics.

Teaching and Learning Methods

• Physical class and online/recorded lectures.
• PDF notes uploaded to Spectrum before lectures.
• Tutorials and group projects uploaded to Spectrum.
• Assessments submitted electronically via Spectrum.
• Mid-semester test to assess student understanding.

Assessments Plan

• Final Exam: 60%
• Continuous Assessments: 40% (Marks/grade will be announced by Week 14)
  • Tutorials: 5%
  • Group Project: 15%
  • Individual Test: 20%
  • Project (Individual): 15%
• Teamwork: Individual component 85%

Learning Planner

• Week-by-week schedule outlining topics covered, assessments, and projects.
  • Includes topics like: Introduction and course overview, Macroscopic linear momentum balance, Derivation of Navier-Stokes equation, Differential analysis of fluid flow and various types of problem solving examples for better student involvement.

References

• Provided list of recommended books on fluid mechanics. (Specific titles are listed)

Fluid Dynamics - Importance

• 70% of the Earth's surface is covered by water
• Fluid dynamics is essential for understanding many natural and man-made processes.
• Understanding fundamental principles is key for better design and solving daily life problems
• Examples: Blood flow, and environmental problems like storm systems

Applications of Fluid Mechanics

• Examples of applications like food production, oral health, pharmaceutical, oil and gas, and aerodynamics.
• Concepts like flow fields/patterns, property variations for complex fluids, transportation in pipelines, and effects of forces.

Approaches in Fluid Mechanics Studies

• Experimental: Direct measurement of flow fields (e.g., PIV) using visual methods.
• Theoretical/Analytical: Derived from mass and momentum conservation principles (e.g., Navier-Stokes equation). Requiring simplification through assumptions and approximations
• Computational (CFD): Numerical techniques using computer codes to solve equations (e.g., ANSYS Fluent)

Course Flows

• Linear Momentum Balance – Integral Form: Basic concepts, equation of motion, force balance.
• Differential Analysis of Fluid Flows: Microscopic analysis, Cauchy's equation, and Navier-Stokes equations.
• Analytical Solutions to N-S Equation: Incompressible flow problems (e.g., potential flow, boundary layer)
• Numerical Solutions to N-S Equations: Computational fluid dynamics (CFD), modern tools.