Course Name: Mathematical Modeling Of Manufacturing Processes

Course abstract

The understanding of the basic mechanism such as heat and mass transport with associated fluid flow including metallurgical transformation, distortion and residual stress generation in different manufacturing processes is the focus of this course. Understanding the complex interaction not only helps to develop mathematical model, it makes the foundation for analysis, numerical simulation at different scale and experimentation for different types of manufacturing processes. The development of computational models for a manufacturing process relies on mathematical expression of the governing mechanism. It helps to design relevant experiments and drives to find the data to be obtained. Mutual understanding between analytical/numerical and experimental results leads to better insight of the basic manufacturing processes that impact on the improvement of existing process and directs for the development of new process. However, this course is completely different from statistical or data driven modeling approach. This course emphasized on the understanding of the most general to advanced manufacturing processes based on scientific principle. The complex mechanism is presented in a simplified way to understand the subject at elementary level. The broad impact is that the students will be able to develop physics based computational model of manufacturing process using standard commercial package (However, this course does not intend to cover the learning of the commercial software).


Course Instructor

Media Object

Prof. Swarup Bag

Prof. Swarup Bag is currently working as an Associate Professor in the Department of Mechanical Engineering, Indian Institute of Technology Guwahati PhD: Mechanical Engineering (Manufacturing Science): IIT Bombay, Mumbai, India (2006 – 2009).
ME: Mechanical Engineering (Production Engineering): Indian Institute of Engineering Science and Technology, Shibpur, WB, India (2000 – 2002). BE: Mechanical Engineering: Jalpaiguri Govt. Engg. College, Jalpaiguri, WB, India (1996 – 2000).
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Teaching Assistant(s)

AJIT KUMAR SAHU

P.hD

Swagat Dwibedi

P.hD

BIKASH KUMAR

P.hD

AJIT KUMAR SAHU

P.hD

Ankan Mishra

P.hD

 Course Duration : Jul-Oct 2019

  View Course

 Syllabus

 Enrollment : 15-May-2019 to 05-Aug-2019

 Exam registration : 01-Jun-2019 to 30-Sep-2019

 Exam Date : 16-Nov-2019, 16-Nov-2019

Enrolled

1142

Registered

116

Certificate Eligible

88

Certified Category Count

Gold

1

Silver

24

Elite

44

Successfully completed

19

Participation

9

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • FINAL SCORE (Score on Certificate) = 75% of Exam Score + 25% of Assignment Score.
Mathematical Modeling Of Manufacturing Processes - Toppers list

MUMTAZ RIZWEE 92%

AL KABIR POLYTECHNIC

DHIRAJ NIGADE 88%

DWARKADAS J.SANGHVI COLLEGE OF ENGINEERING

PUNEET KUMAR GUPTA 88%

BUNDELKHAND INSTITUTE OF ENGINEERING & TECHNOLOGY, JHANSI

AKHILESH SINGH 87%

COLLEGE OF ENGINEERING & MANAGEMENT, KOLAGHAT

SHRIKANT VIDYA 85%

GALGOTIAS UNIVERSITY

DR. MANGESH RAVINDRA PHATE 85%

AISSMS COLLEGE OF ENGINEERING, PUNE

Enrollment Statistics

Total Enrollment: 1142

Registration Statistics

Total Registration : 116

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.