2016년 6월 1일

Lectures

img11This course studies manufacturing system configuration, process flow design and their evaluation. The student will learn the basic concepts and methods of simulation techniques to design and evaluate manufacturing systems in which all workcells, including robots, material handling systems and other auxiliary equipment are functioning to maximum efficiency and productivity.

design processThis course examines the essential engineering design methods for each step of the design process. Quality Function Deployment (QFD), functional flow analysis and morphological analysis will be studied for the product specification and the generation phases of design alternatives, whilst various optimization techniques such as interval arithmetic, constraint satisfaction & propagation algorithms and Multiple Criteria Decision Analysis (MCDA) will be discussed for the selection phase of design alternatives. Theoretical exercices with case studies will complement the course.

ball-597523_1920This course aims to help undergraduate students to understand the contemporary issues on additive manufacturing technology and its industrial applications. The students will survey related literatures, discuss the pros and cons of the technology and identify future possibilities of the 3D printing technology. Having successfully completed this course, the student will be able to understand the basic technologies of 3D printing and their applications, and perform digital design of conceptual parts, direct manufacturing of it using 3D printing, and surface finishing for better quality.

 

 DHE-300x164

 

System Design and Control Engineering (제어 설계 공학)

 .

System Design and Control Engineering Program focuses on;

  • (i) rehabilitation robotics
  • (ii) additive manufacturing & simulation
  • (iii) smart factory control
  • (iv) machine healthcare
 .

Research applications and projects in this group cover breadth and depth of complex systems design and control engineering areas such as (i) development of the real clinic application of diagnosis/training devices and methods for the rehabilitation, based on biomechanics and robotics, (ii) exploration of 3D printing technology and its industrial applications, (iii) smart factory control platform design, and (iv) self-sustainable machine design, (v) smart IoT sensors and big data analytics for machine health care.

Education in this graduate program is characterized by offering a number of pertinent courses providing the students with the enhancement of their systematic design knowledge including state-of-the-art engineering tools for system synthesis, analysis, and control through in-depth discussions and hand-on team projects. The program finally leads the students to become professionals not only with systems engineering knowledge but also with creative problem solving ability in industries and academia.

 

If you want to know detail, click here.