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Pacific School of Engineering

(Managed By Pacific Education Trust,Ahmedabad)

Approved by AICTE,New Delhi and Affiliated to GTU,Ahmedabad

Topic Name : “Nuclear Power Plant”
Expert Name : Mr. R B Patil, Scientific Officer/E , Dr. Mukesh K Jha, Scientific Assistant/F Nuclear Power Corporation of India Limited , Kakrapar, Gujarat
Audience : Students and Faculties of Mechanical and Electrical Engineering Department.

In today’s highly competitive area, increasing the awareness of present scenario in Nuclear Power plant’s developed in India. Also students got knowledge about future of nuclear energy in the India and also effect of radiation. Topic covered by experts as follows:

1. Indian Nuclear Power Program & Process of generation of Nuclear Energy

2. Radiation a fact of life and DAE-Societal benefits.

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Topic Name : Six Sigma - the strategy for world-class manufacturing
Expert Name : Mr. Hiren Kakkad CEO & Co-founder, Stat Modeller, Vadodara
Audians : All the students of Mechanical Engineering Department
Topic Name : Selecting good final year project
Expert Name : Dr. Kandarp Joshi
Audians : Final Year Students of Mechanical Engineering Department
Topic Name : Design of Jigs and Fixtures with Case Study
Expert Name : Mr. Mitul Patel (Sr. Application Engineer, Sopan Institute of Engineering & Design, Surat)
Audians : 3rd and 4th Year students of Mechanical Engineering Department
Topic Name : Magics of Machine
Expert Name : Mr. D.M.Patel & Mr. M.H.Kansara
Audians : 3rd & 4th Year Mechanical Engineering Students
Topic Name : Special case of Linear Programming Problem: Transportation Problem
Expert Name : Prof. Nishith Rathod (Research scolar, SVNIT, Surat, Asst. Professor, CKPCET, Surat)
Audians : 3rd and 4th Year Mechanical Engineering Students
Topic Name : Complete Career Choice (CCC) after Engineering
Expert Name : Dr. Mulchand Sen (Ph.D.- Management)
Audians : All Engineering Students
Topic Name : Introduction to ANSYS Workbench
Expert Name : Mr. Harshit Patel
Audians : All Students of Mechanical Engineering Department
Topic Name : Lean Manufacturing
Expert Name : Dr. Kandap Joshi
Audians : Final Year and Pre-final Year students of Mechanical Engineering Department
Topic Name : Post Pandemic Situation and Engineering Career
Expert Name : Faculty Members of Mechanical Engineering Department
Audians : All the students of Mechanical Engineering Department

Topics Covered By Different Faculty Members:

      Dr. Kandarp Joshi -  Industry 4.0

      Prof. Bharat Khalasi - opportunities for Mech in Non-core Field

      Prof. Vatsal Patel  - E commerce and Health care

      Prof. Jasmin Hirpara - Industrial Safety & Job Opportunity

      Prof. Dharmesh Babariya - GATE and Government Job.

      Prof. Hiren Patel - Industrial Aspects of Design Field.

Topic Name : PART PROGRAMMING OF CNC TURNING
Expert Name : Prof. Sameer Jariwala
Audians : Final Year Students of Mechanical Engg. Department

As we know, now a days CNC machines primarily used in the manufacturing industry. For that CNC Part Programming must be required. So, for enhance the knowledge of the subject Computer Added Manufacturing (CAM), we organized expert lecture on this subject. During the expert lecture, Prof. Sameer Jariwala gives the brief introduction and details regarding the subject. The major contains covered in the lecture are as below:

  1. What is CNC Machines?
  2. What is G codes and M codes?
  3. Example on Part Programming for CNC TURNING.
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Topic Name : Finite Element Analysis
Expert Name : Mr. Rajiv Mistry
Audians : Third year students of Department of Mechanical Engineering

The finite element method (FEM) is a numerical technique for finding approximate solutions to boundary value problems for partial differential equations. It is also referred to as finite element analysis (FEA). FEM subdivides a large problem into smaller and simpler parts called finite elements. The simple equations that model these finite elements are then assembled into a larger system of equations that models the entire problem. FEM then uses variational methods from the calculus of variations to approximate a solution by minimizing an associated error function.

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