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Code MAT 307
Term 201602
Title Composite Materials
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 2013-14 Academic Year or following years)
Instructor(s) Melih Papila mpapila@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
--
Mode of Delivery Formal lecture,Recitation,Laboratory
Planned Learning Activities Interactive,Communicative,Discussion based learning,Project based learning
Content

Stress, strain, and strength of composites. Failure criteria and fracture mechanics of composite materials. Environmental effects. Manufacturing processes. Analysis of composite plates; bending-shear coupling effect, interlaminar stresses, and structural stability. Prediction of matrix and fiber failure, and edge and stability-induced delamination. Impact damage, compression after impact. Composite structures with embedded sensors and actuators for damage detection and vibration control.

Objective

To bring together the basic principles that will be useful for an engineer who is involved with the analysis and design of fiber reinforced composite materials: understanding the mechanics, manufacturing and testing of polymer matrix composite materials

Learning Outcome

Classify composite materials depending on their constituents.
Describe the types and applications of constituents (fiber and matrix) for fiber reinforced polymeric composite materials
Describe composite manufacturing processes, identify the steps involved in material selection process of composite, and some of the items needed for production fabrication.
Know the stress-strain relation for linear elastic materials with different material symmetries and calculate stress, strain and modulus for a given problem of unidirectional lamina,
Model mechanics of a lamina, and calculate various modulus of composites from the properties of constituents through using mixture rules,
Model mechanics of a laminate using classical lamination theory
Select the variables for design of laminated composites
Implement failure criteria of composites in design of laminated composite structures

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. 3
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4
3 Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long 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 multi-disciplinary teams. 5
1 Possess sufficient knowledge of mathematics, science and program-specific 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 program-specific 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, multi-variable 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.
Assessment Methods and Criteria
  Percentage (%)
Final 25
Midterm 40
Group Project 20
Homework 15
Recommended or Required Reading
Readings

Design and Optimization of Laminated Composite Materials By Zafer Gurdal, Raphael T. Haftka and Prabhat Hajela,

An introduction to Composite Materials, by D. Hull and T. W. Clyne

Introduction to Composite Materials Design, by Ever Barbero

Mechanics of Composite Materials, by Robert M. Jones

Experimental Characterization of Advanced Composite Materials, By Donald F. Adams, Leif A. Carlson and R. Byron Pipes

Theory of Composites Design, by Stephen W. Tsai

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