MECHENG 709

Industrial Automation

Summary


Semester

Semester 1, 2019

Staff

Contents


Calendar notes

Automation technologies widely used in manufacturing and processing industries. Topics include industrial robotics; programmable logic controllers (PLCs); pneumatics; machine vision systems; automated assembly; design for automation; and Industry 4.0. Students will participate in a number of hands-on labs throughout the course.
Prerequisite: MECHENG 270Restriction: MECHENG 409, 710

Outcome mapping


Intended learning outcomes
Related graduate attributes
Related assessments

Pneumatics: The student will be able to design a pneumatic system using the standard penumatic components. They will be able to construct pneumatic systems from a given schematic. They will be able to use PLC with pneumatics as electro-pneumatic system to replace a pure pneumatic system and increase versatility.

ENGA01: engineering knowledge (5)
ENGA03: design and solution development (4)
ENGA05: modern tool usage (4)
ENGA09: individual and team work (3)
ENGA12: lifelong learning (3)
ENGK01: theory of natural sciences (2)
ENGK04: specialist knowledge (2)
ENGK05: engineering design (1)
ENGP01: depth of knowledge required (1)
ENGP07: interdependence (1)
UOA_1: Disciplinary Knowledge and Practice (2)
UOA_3: Solution Seeking (2)
UOA_5: Independence and Integrity (1)
Pneumatics Lab (Week 3)
Test 2
Automation Project

Programmable Logic Controller: The student will be able to program the PLC using ladder programming method. They will be able to understand the different input and output configurations of the PLC. Apply PLC as an electro-pneumatic system.

ENGA01: engineering knowledge (5)
ENGA02: problem analysis (1)
ENGA04: investigation (1)
ENGA05: modern tool usage (4)
ENGA09: individual and team work (3)
ENGK04: specialist knowledge (2)
ENGP01: depth of knowledge required (1)
ENGP07: interdependence (1)
UOA_3: Solution Seeking (2)
UOA_5: Independence and Integrity (1)
PLC Lab (Week 4)
Test 2
Automation Project

Industry 4.0 and Machine-to-Machine Communications (OPC UA): By the end of the course, the students will have learnt, (i) the system architecture of OPC UA, (ii) How to design an OPC UA compliant information model, e.g. cyber-physical machine tools (CMPT), (iii) How to access real-time data from a system as well as historical data from a database, (iv) How to visualize data.

ENGA01: engineering knowledge (5)
ENGA03: design and solution development (4)
ENGA04: investigation (1)
ENGA05: modern tool usage (4)
ENGA09: individual and team work (3)
ENGA12: lifelong learning (3)
ENGK03: abstraction and formulation (1)
ENGK04: specialist knowledge (2)
ENGP01: depth of knowledge required (1)
ENGP05: extent of applicable codes (2)
ENGP07: interdependence (1)
UOA_1: Disciplinary Knowledge and Practice (2)
UOA_3: Solution Seeking (2)
UOA_5: Independence and Integrity (1)
Test 2
OPCUA Assignment

Machine Vision: The student will be able to use OpenCV or any other programming platform to develop the required routine to perform the necessary image analysis or processing of a given image in an industrial setting.

ENGA01: engineering knowledge (5)
ENGA02: problem analysis (1)
ENGA03: design and solution development (4)
ENGA04: investigation (1)
ENGA05: modern tool usage (4)
ENGA09: individual and team work (3)
ENGA10: communication (1)
ENGA12: lifelong learning (3)
ENGK03: abstraction and formulation (1)
ENGK04: specialist knowledge (2)
ENGK05: engineering design (1)
ENGP01: depth of knowledge required (1)
ENGP03: depth of analysis required (1)
ENGP07: interdependence (1)
UOA_1: Disciplinary Knowledge and Practice (2)
UOA_2: Critical Thinking (1)
UOA_3: Solution Seeking (2)
UOA_5: Independence and Integrity (1)
Machine Vision Lab (Week 5, 6 and 7)
Test 1
Machine Vision Assignment

Industrial Robot: The student will be able to use the KUKA robot to perform a complex task. They will be able to use the available sensors around the KUKA robot cell to ensure a safe working environment is achieved while performing the required task.

ENGA01: engineering knowledge (5)
ENGA02: problem analysis (1)
ENGA03: design and solution development (4)
ENGA04: investigation (1)
ENGA05: modern tool usage (4)
ENGA09: individual and team work (3)
ENGA10: communication (1)
ENGA11: project management and finance (1)
ENGA12: lifelong learning (3)
ENGK04: specialist knowledge (2)
ENGK05: engineering design (1)
ENGP01: depth of knowledge required (1)
ENGP03: depth of analysis required (1)
ENGP07: interdependence (1)
UOA_1: Disciplinary Knowledge and Practice (2)
UOA_3: Solution Seeking (2)
UOA_4: Communication and Engagement (0)
UOA_5: Independence and Integrity (1)
UOA_6: Social and Environmental Responsiblities (0)
Robotics Lab (Week 8 and 9)
Test 2
Automation Project

Assessment


Coursework

No description given

Exam rules

No description given

Inclusive learning

Students are urged to discuss privately any impairment-related requirements face-to-face and/or in written form with the course convenor/lecturer and/or tutor.

Other assessment rules

No description given

Academic integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting his or her learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the world-wide web. A student's assessed work may be reviewed against electronic source material using computerised detection mechanisms. Upon reasonable request, students may be required to provide an electronic version of their work for computerised review.

All students enrolled at the University of Auckland are required to complete a compulsory Academic Integrity course, usually in their first semester/year of enrolment. The University of Auckland’s full guidelines on procedures and penalties for academic dishonesty are available here.

This site intends to guide you through your chosen specialisation at the Faculty of Engineering. The semester links lets you view detailed course information for your chosen course. Please note that the structure displayed for your specialisation here will reflect what’s available over the upcoming semesters, but detailed information may be from a previous year.

All the information here is accurate at the time of publication, but you are are advised to additionally consult our official document, the University of Auckland Calendar, for accurate academic regulations, requirements, and policies.