Code 
MAT 309 
Term 
201901 
Title 
Transport Phenomena in Materials Processing 
Faculty 
Faculty of Engineering and Natural Sciences 
Subject 
Materials Sci.& Nano Eng.(MAT) 
SU Credit 
3 
ECTS Credit 
6.00 / 6.00 ECTS (for students admitted in the 201314 Academic Year or following years) 
Instructor(s) 
Hatice Sinem Sas Cayc? haticesas@sabanciuniv.edu, 
Language of Instruction 
English 
Level of Course 
Undergraduate

Type of Course 
Click here to view. 

Programs\Type 
Required 
Core Elective 
Area Elective 
BA Political Science 



BACultural Studies 



BACultural Studies 



BAEconomics 



BAEconomics 



BAInternational Studies 



BAInternational Studies 



BAManagement 



BAManagement 



BASocial & Political Sciences 



BAVisual Arts&Visual Com.Des. 



BAVisual Arts&Visual Com.Des. 



BSBiological Sci.&Bioeng. 



BSComputer Science & Eng. 



BSComputer Science & Eng. 



BSElectronics Engineering 


* 
BSElectronics Engineering 


* 
BSIndustrial Engineering 



BSManufacturing Systems Eng. 



BSMaterials Sci. & Nano Eng. 

* 

BSMaterials Science & Eng. 

* 

BSMechatronics 


* 
BSMechatronics 


* 
BSMicroelectronics 



BSMolecular Bio.Gen.&Bioeng 



BSTelecommunications 


* 
Energy 




Prerequisites (only for SU students) 
 
Mode of Delivery 
Formal lecture,Recitation 
Planned Learning Activities 
Interactive,Discussion based learning,Project based learning,Simulation 
Content 
Brief summary of vector mechanics and matrix algebra, Suffix notation, Summation convention (Einstein notation) Gradient of a scalar, divergence and curl of a vector; Gradient of a vector, divergence and curl of a tensor Integral theorems for vectors and tensors: Divergence and stokes theorems Introduction to Fluid Flow Introduction to Heat Transfer Introduction to Mass Transfer Emphasizing on the similarities among transport equations Boundary and Interfaces Conditions Introduction to numerical simulation of transport equations Applications of Transport Phenomena in Materials Processing Selected Materials Processing Technologies. 
Objective 
This course intends to introduce materials science and engineering students to the transport phenomena in materials processing. Transport phenomena is concerned with the subjects of momentum transport (fluid mechanics), energy transport (heat transfer with conduction, convection, and radiation), and mass transport (molecular and convective diffusion in fluids, and solid state diffusion in solids). The course is composed of two parts. Part I will provides introduction to fluid flow, heat transfer, and mass transfer. It includes governing equations and boundary conditions for studying materials processing. Part II covers the several specific applications to materials processing with a brief description of various materials processing technologies such as solidification, crystal growth, phase change, polymer processing, and rheology, and bulk and surface heat treating. Students will also be exposed very briefly to the numerical simulation of transport equations through finite difference formulations and coding with MATLAB. By the end of the course, students will gain mathematical modeling skill that is fundamentally important to have a better understanding of engineering problems involving momentum, heat and mass transport. 
Learning Outcome 
Know mathematical preliminaries such as vector mechanics and matrix algebra, suffix notation, summation convention, gradient of a scalar and vector fields, divergence and curl of a vector and tensor and integral theorems for vectors and tensors (ie., divergence and Stokes theorems) Describe mass, momentum, energy conservations Know the governing equations and constitutive relations for momentum, heat and mass transfer and identify the similarities among transport equations, and be able to define boundary conditions such as Dirichlet and Neumann conditions Be able to solve 1D simplified form of governing equations analytically Be able to discretize diffusion equation for 1D and 2D simple geometries using finite difference approach and solved it numerically. Be able to identify governing equations to be utilized in modeling of transport phenomena a given material processing and determine relevant boundary conations

Programme Outcomes 


Common Outcomes For All Programs 
1 
Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 
5 
2 
Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 
5 
3 
Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in lifelong learning in various subjects. 
5 
4 
Communicate effectively in Turkish and English by oral, written, graphical and technological means. 
5 
5 
Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multidisciplinary teams. 
5 

1 
Possess sufficient knowledge of mathematics, science and programspecific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 

2 
Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 

3 
Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 

4 
Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 

5 
Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or programspecific research areas. 

6 
Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 

7 
Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 


1 
Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 

2 
Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 

3 
Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 


1 
Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multivariable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 

2 
Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 


1 
Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. 

2 
Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics. 


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