Welcome to Manufacturing Portal



Hello everyone. Welcome to Manufacturing Portal. I created this portal to connect with students@IIITDM Kancheepuram and offer them opportunities for blended learning. In this page you can find the courses related to Manufacturing and Design. For all the courses, enrolment is necessary. Enrolment are manually carried out by faculty during the beginning of  the course. If you need to self enrol, please send a mail to skumaran@iiitdm.ac.in for the enrolments key. Thanks to Moodle and Amazon Web Servers for providing tools necessary to run this website at a nominal cost. Some interested student volunteers can help me enrich this website with more media contents. 

This is what you get when you enrol for the courses

Tutorials, slides, videos and supplementary materials
Assignment and Project submission
Course schedules and announcement
Online attendance
Online grading
Online quizzes
Past Question papers and keys for the exam question papers
 etc.,


Thanks for visiting. 

Senthilkumaran

    现有课程

    This STTP focuses on DfAM methods that identify opportunities for increased complexities in design. The aim of the training program is to understand the new found design freedom in Additive Manufacturing and optimizing the existing design using various tools. Faculty, Research scholars, Postgraduate and Graduate students from various institutions and delegates from the industries can register for the program. An understanding of various design methods and computer-aided design are the prerequisites for attending the program.

    dfam2019


    Click the below link to know more and register for the program 


    http://iiitdm.ac.in/dfam2019/

    This course introduces students to study of the principles, techniques, and applications of computer numerically controlled machine tools. G and M code programming of industrial machines, tooling systems, and an iintroduction to Computer Aided Manufacturing (CAM) systems will be covered. At the completion of the course, the student should be able  to use the appropriate terminology to describe CNC machine tools, explain the basic types of CNC machine tools and the manufacturing operations for which they are best suited, describe the major factors in the development of CNC machines, prepare G and M code programs and documentation for the manufacturing steps required to produce machined parts on CNC turning and machining centers and develop part programs for machining free form surfaces


    This course helps students to develop an understanding of computer numerically controlled machine tools and develop their skills in G and M code programming of industrial machines, tooling systems using manual and Computer Aided Manufacturing (CAM) systems. At the completion of the course, the student will be able to write part programs for milling, turning and wire-cut EDM, generate part programs for milling and turning using CAM software, model free form surfaces and generate tool path for 5-axis machining, verify and optimize tool path for complex machining operations.


     This course introduced the fundamentals of machining processes and machine tools to undergraduate manufacturing students. Students will gain knowledge of machining processes and machine tools. Students will gain knowledge to understand secondary finishing processes in addition to primary machining processes.


    This practice course helps students to perform experiments on fundamental manufacturing processes to understand the process, equipment, tooling and set-up involved in these processes. Students learn to use production machines and equipment to make products using multiple manufacturing processes. Processes include assembly, casting, forming, welding, and injection molding, performed manually and/or via computer programming. Students will be able to perform basic shop floor operation and prepare documents used for monitoring and controlling part production.


    This course covers the techniques and gain proficiency of pattern recognition that are fundamental to a wide variety of application areas such as medical research, biometrics, computer vision, etc.