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Code ME 302
Term 201702
Title Mechanical Systems II
Faculty Faculty of Engineering and Natural Sciences
Subject Mechatronics(ME)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Ali Kosar,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
(only for SU students)
Mode of Delivery Formal lecture,Interactive lecture,Recitation,Studio work/practice,Group tutorial,Laboratory
Planned Learning Activities Interactive,Learner centered,Discussion based learning,Project based learning,Task based learning,Simulation,Case Study

This course deals with design and selection of mechanical elements such as welded joints, bolts, bearings, spur gears, shafts, brakes; alternative fatigue design methods with consideration of creep, yielding, fracture; basics of finite element analysis with emphasis on beam and plate models.


To introduce students to design with machine elements; to teach principles and functions of mechanical components; to provide familiarity with machineshop operations through lab sessions; to teach a finite element software and use it to analyze components.

Learning Outcome

Identify basic machine elements (bolts, bearings, gears, etc), component selection

Calculate loads and stresses on these elements, fatigue life calculations
Calculation of roller and journal bearings, knowledge on lubricaton
Analyze and design a gear box for a given task
Analyze and design the power train components of a vehicle, gear analysis
Analyze the threaded joints, design of threaded joints, pins and rivets

Analyze the power transmission systems, keys, interference fits, flywheels, vibrations in shafts and shaft design
Analyze the springs, spring design
Welding, analysis of welded joints
Finite element analysis, analysis of components by the use finite element methods

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. 2
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. 4
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3
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. 4
Common Outcomes ForFaculty of Eng. & Natural Sci.
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5
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. 5
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
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 1
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 1
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. 4
Mechatronics Engineering Program Outcomes Core Electives
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. 5
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. 5
Materials Science and Nano Engineering Program Outcomes Area Electives
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. 4
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. 4
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1
Industrial Engineering Program Outcomes Area Electives
1 Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 1
2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 1
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 1
Molecular Biology, Genetics and Bioengineering Program Outcomes Area Electives
1 Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 1
2 Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 1
Assessment Methods and Criteria
  Percentage (%)
Final 25
Midterm 50
Term-Paper 10
Participation 15
Recommended or Required Reading

Shigley's Mechanical Engineering Design (McGraw-Hill Series in Mechanical Engineering) 10th Edition by Richard G Budynas (Author),? Keith J Nisbett (Author, )ISBN-13: 978-0073398204, ISBN-10: 0073398209, 2014.


1) Robert L. Norton, Machine Design an Integrated Approach, Prentice Hall, (third edition), New Jersey, USA, 2014.
2) Warren C. Young, Roarks Formulas for Stress and Strain, McGraw-Hill, 6th Edition, New York, 1996.
3) Walter D. Pilkey, Formulas for Stress, Strain and Structural Matrices, John Wiley & Sons Inc. 2nd Edition, 2005.
4) Juvinall, R.J. and Marshek, K.M., Fundamentals of Machine Component Design, 5rd Edition, John Wiley & Sons, 2011.
5) Haberhauer, H., Bodenstein, F., Maschinenelemente, 14. Auflage, Springer, 2007
6) Khurmi, R.S., Gupta, J.K., A Textbook of Machine Design, Euroasia Pub., 2010
7) R. Mott, Machine Elements in Mechanical Design, Prentice Hall (2004)
8) B. J. Hamrock, S. R. Schmid, B. O. Jacobson, McGraw-Hill Professional, 2004
9) M. F. Spotts, T. E. Shoup, L. E. Hornberger, Design of Machine Elements, Prentice Hall; 8 edition (2003)
10) V. M. Faires, Design of Machine Elements, Macmillan Coll Div. 1965
11) Grote, Antonsson, Springer Handbook of Mechanical Engineering, Springer, 2008
12) SAE, Spring Design Handbook, 1996.