Class
Time: Tuesday and Thursday 2PM to 3:15PM
Class Location: EGR 0108
Office Hours: Tuesday and Thursday 3:30PM to 5:00PM
Course Instructor: Dr. Satyandra K. Gupta
Instructor Contact: Email skgupta@eng.umd.edu, Phone 301-405-5306, Office Room
3143 EGR
This course covers fundamentals underlying the contemporary manufacturing automation. The following two aspects of manufacturing automation will be emphasized: (1) computer based systems for automating and controlling manufacturing processes such as numerically controlled machining and material handling robots; and (2) use of software systems in facilitating information exchange between different components of manufacturing decision support systems. The course will be taught using a project-based learning approach.
This course is intended for would be manufacturing system designers and technical managers who intend to lead product development teams and play strategic roles in selection and deployment of advanced manufacturing automation technologies. This course will provide students with the basic and the specialized training in using and deploying modern automation systems. Through lectures, hands-on learning experience in the Advanced Manufacturing Laboratory, and demonstrations students are expected to gain the knowledge and skills in modern manufacturing that are necessary for seeking rewarding employment opportunities. After completing this course students should be able to:
· Write part programs for numerically controlled milling machines for producing mechanical parts
· Select and analyze the following manufacturing automation technologies
o Industrial Robots
o Numerically Controlled Milling and Turning Machines
o Coordinate Measurement Machines
o Programmable Logic Controllers
o Automated Material Handling Systems
o Rapid Prototyping Machines
o Injection Molding Machines
· M.P. Groover. Automation, Production Systems, and Computer Integrated Manufacturing. Prentice Hall, 2008.
· Introduction to Automation
· Sensors and Actuators in Manufacturing
· Computer Numerical Control
· Industrial Robotics
· Discrete Control using PLCs
· Material Transport Systems
· Rapid Prototyping Machines
· Injection Molding Machines
· Automated Inspection Systems
· G. L. Batten. Programmable Controllers. McGraw Hill, 1994.
· T.C. Chang, R. A. Wysk, and H. P. Wang. Computer Aided Manufacturing. Prentice Hall, Second Edition, 1997.
· K. Lee. Principles of CAD/CAM/CAE Systems. Addison Wesley, 1999.
· P. K. Wright. 21st Century Manufacturing: Surveys of Products, Prototypes, Processes, and Production. Prentice Hall, 2001.
· 8 Homeworks (done individually)
· 3 Labs (done in groups)
· 2 Exams
· Homework and project reports must be neatly done on 8 1/2" x 11" paper.
· Homeworks are due at the beginning of the lecture on its due date. No late homework/projects will be accepted unless prior permission is granted by the instructor.
· Homeworks/Projects will be graded as to content, effort, and timeliness.
· Your name and section number should be clearly shown on the first page. Staple multiple pages together.
·
Copying/cheating will not be tolerated. Please
refer to
Homeworks: 20 %
Labs: 15%
Mid-Term Exam: 25%
Final Exam: 40%
Student progress in achieving the desired outcomes for this course will be monitored and measured through the use of the following:
· Completion of assigned homework sets designed to build a mastery of the basic concepts of the course and provide engineering problem solving practice.
·
A mid-term and final exam designed to
demonstrate the student’s ability to integrate the many topics covered in
the course in the formulation and solution of more complex, multidisciplinary
· Completion of assigned labs to provide hand-on training in using automation technologies.