Click to Print This Page
Code ME 312
Term 201602
Title Analysis and Synthesis of Mechanisms
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) Volkan Pato?lu vpatoglu@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
ENS204
Mode of Delivery Formal lecture,Recitation
Planned Learning Activities Interactive,Project based learning,Guided discovery
Content

This course is designed to equip students with fundamental theories and methodologies that are used in kinematic and dynamic analysis, and synthesis of mechanisms commonly encountered in machine design. Covered topics include: Analytical, graphical and computational techniques for displacement, velocity, and acceleration analyses; static and dynamic approaches for force analysis; kinematics and dynamics of cam-follower, screw, belt/chain drive mechanisms and gear trains; mechanism design process; graphical, analytical, and computational methods for mechanism synthesis.

Objective

The goal of this course is to introduce juniors and seniors to basic methods in the synthesis, kinematic, and dynamic analysis of mechanisms commonly encountered in machine design.

Learning Outcome

Describe fundamental concepts in mechanisms (linkages, cams, gears, etc.) and describe the mechanism design process and identify basic types of mechanisms, joints and motion; determine degree of freedom (mobility) of mechanisms and equivalent linkages.
Perform position, velocity and acceleration analyses using graphical, analytical, and computer methods.
Analyze and design gear trains, belt and chain drive, cam-follower, and screw mechanisms. Perform force analysis in linkages using static and dynamic methods.
Synthesize mechanisms for prescribed path and motion generation using graphical, analytical, and computational 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. 3
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. 3
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 3
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. 2
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. 3
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. 1
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. 1
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
Assessment Methods and Criteria
  Percentage (%)
Final 20
Midterm 20
Participation 2
Group Project 28
Homework 30
Recommended or Required Reading
Textbook

- Norton, Design of Machinery: An Introduction to the Synthesis and Analysis of Mech-
anisms and Machines, Third Edition, McGraw-Hill Higher Education, 2003.

Readings

Lecture notes available through SUCourse.

Optional Readings

- Erdman, Sandor, and Kota, Mechanism Design: Analysis and Synthesis, Volume I,
Fourth Edition, Prentice Hall, 2001.
- Wilson and Sadler, Kinematics and Dynamics of Machinery, Third Edition in SI Units,
Prentice Hall, 2003.

Course Web Available through SUCourse