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MEEN41070

Academic Year 2021/2022

Introduction to Manufacturing Simulation and Robotics (MEEN41070)

Subject:
Mechanical Engineering
College:
Engineering & Architecture
School:
Mechanical & Materials Eng
Level:
4 (Masters)
Credits:
8
Module Coordinator:
Assoc Professor Nikolaos Papakostas
Trimester:
Autumn
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

The primary objective of this module is to provide an insight into advanced manufacturing and robotics technologies. Discrete manufacturing modelling aspects are covered, in order to provide the basic tools that are required for enabling the simulation, analysis and evaluation of the operation of machines, work centres, production and assembly lines, as well as of supply chains and manufacturing networks.
Furthermore, a series of lectures will be dedicated to introducing the main principles and applications of robotic technologies. Particular emphasis will be given to modern Industry 4.0 technologies and to their implications on the operation of modern manufacturing environments.

About this Module

Learning Outcomes:

On successful completion of this module students will be able to:
1. Critique and be able to explain the role of simulation modelling in systems design and analysis.
2. Apply the steps of a simulation project.
3. Develop simulation models of basic manufacturing, logistics and service systems.
4. Understand the fundamental principles underlying robotic technologies.
5. Realise the basic capabilities of modern robotic technologies and applications.
6. Demonstrate a high level of competency in applying systems simulation and in understanding the basic requirements of novel automation projects where robots are planned to be introduced.

Indicative Module Content:

Introduction to Simulation
Simulation Software
Process Measurement and Analysis
Modelling Engineering Operations
Simulation Applications
Introduction to Robotics
Manipulator Kinematics
Robot Control and Sensors
Collaborative Robots
Mobile Robots
Programming and Validation
Robotic Applications

Student Effort Hours:
Student Effort Type Hours
Lectures

36
Laboratories

2
Specified Learning Activities

40
Autonomous Student Learning

100
Total

178

Approaches to Teaching and Learning:
active/task-based learning
lectures
lab work

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment: Individual assignment Varies over the Trimester n/a Standard conversion grade scale 40% No

60

 No
Group Project: Group assignment on specific industrial areas and applications Varies over the Trimester n/a Graded No

40

 No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

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