Computational Transport Phenomena
CHEN3001

Year 3, Sem 2 Core Enabling Knowledge and Skills Personal and Professional Skills Practical and ‘Hands-on’ Experience

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Code CHEN3001
Credits 25
Graduate Attributes

Introduction

Transport phenomena include three closely related topics: fluid dynamics, heat transfer and mass transfer. Fluid dynamics involves the transport of momentum, heat transfer deals with the transport of energy, and mass transfer is related to the transport of mass of chemical species. This unit provides a framework for mathematical representation of transport phenomena and introduces computational tools to solve real life problems involving simultaneous momentum, heat and mass transfer.

Students learn to simulate transport processes using mathematical models based on conservation of mass, momentum, and energy, exploring how different parameters, such as flow regime and temperature or concentration gradient, affect behaviour of process systems. By combining physics, mathematics, and computing, this unit empowers students to approach transport problems with clarity and confidence.
Computer Laboratory 1 x 1 Hours Weekly 
Lecture 1 x 2 Hours Weekly 
Lecture 1 x 2 Hours Weekly 
Workshop 1 x 1 Hours Weekly 

Unit Learning Outcomes

  • 1 analyse the complexities of transport phenomena that occur in various natural and industrial scenarios, GC1, GC3, GC6
  • 2 analyse and communicate the mechanisms of transport phenomena in isothermal and non-isothermal, laminar and turbulent flow systems, GC1, GC3, GC6
  • 3 formulate mathematical equations based on continuity, momentum and energy balance equations to tackle problems encountered in nature and industrial scenarios, GC1, GC2, GC3, GC6
  • 4 generate analytical solutions based on the fundamental principles of transport phenomena, GC1, GC3
  • 5 apply computational methods to solve transport phenomena problems, GC1, GC2, GC3, GC6

Course Learning Outcomes

  • 1 Demonstrate a conceptual understanding of fundamental science, mathematics, data analytics, information science, and computing underpinning the broad field of engineering
  • 2 Solve complex chemical engineering problems of industrial and societal significance through the application of discipline-specific and integrated bodies of knowledge, design and sustainability principles

Assessment Breakdown

Recent Unit Changes & Response to Student Feedback

Students are encouraged to provide feedback through student surveys (such as Insight and the annual Student Experience Survey) and interactions with teaching staff.

Listed below are some recent changes to the unit as a result of student feedback.

Computer laboratory component has been introduced for the first time last year. In the current semester, one more computer laboratory module on simultaneous fluid flow and heat transfer in a 3D pipe geometry has been included. Further, three laboratory sessons per week are timetabled to reduce a batch size per session. Consequnetly, number of laboratory sessions will be higher in the current semester.