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Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title Manufacturing Technology (CAE)
Module Code EDS1007 (ITS: EG08004)
Faculty STEM Ed, Innov, Global Studies School DCU Institute of Education
NFQ level 8 Credit Rating 10
Description

This module will highlight and apply the functionalities of parametric modelling software for engineering design, analysis and prototyping. Students will use computer aided engineering (CAE) methods to; analyse components and assemblies for design for manufacture and assembly (DFM/DFA), carry out static finite element analyses (FEA) to predict if engineering components will have adequate mechanical strength, scrutinise the environmental implications of different manufacturing processes and material selections, carry out vibration analyses (modal, time response and frequency response) and generate g code outputs for CNC milling and additive manufacturing (3D printing) processes. This will equip students with the knowledge and abilities to make informed design choices using sophisticated technologies and practices. Students will learn about contemporary and future directions of technology and engineering industries to give them a clearer perspective of the industrial activities associated with their discipline area. Students will engage with a number of field trips to Irish industries specialising in advanced manufacturing and automation and will complete a series of case study reports on these experiences. This module will develop students’ appreciation for the technology subjects at post-primary level, and their own learning at third level, by providing an industrial context to learning outcomes.

Learning Outcomes

1. Efficiently create advanced parametric CAD models (parts and assemblies), integrating appropriate design intent and using best practice modelling techniques.
2. Carry out motion analyses to review the functionality and inform the design of mechanical systems.
3. Export .stl files from parametric CAD model data to suitable slicer software and define required parameters for additive manufacturing processes (FDM and STL).
4. Conduct finite element analysis to evaluate geometric design and material selection.
5. Utilise a CAM software package to define machining parameters and cutting tool paths for selected CNC machining operations.
6. Recognise and appreciate the capabilities and restrictions of common CNC machining operations.
7. Identify how fundamental technological principles underpin evolving technologies and the implications that these technologies have had on industrial practices.
8. Relate the content of the national technology subject curricula to current industrial practices as a means of developing current, motivational and interesting learning experiences.
9. Carry out a case study review and report on the technologies that they experience during industrial site visits – and include reference to job creation, job sustainability, economics etc.
10. Recognise the contribution that the technology and engineering industries make to the Irish economy.
11. Appreciate the critical role that technology education plays in developing technological capability; providing our national industries with a pipeline of talent.
12. Define and employ the benefits of Lean and Six Sigma, Project Management and Material Resource Planning (MRP) engineering methodologies.


WorkloadFull time hours per semester
TypeHoursDescription
Tutorial24Computer laboratory
Laboratory72Practical in Engineering Laboratory
Independent Study154Independent learning
Total Workload: 250
Section Breakdown
CRN20006Part of TermSemester 2
Coursework0%Examination Weight0%
Grade Scale40PASSPass Both ElementsY
Resit CategoryRC1Best MarkN
Module Co-ordinatorPaul GrimesModule Teacher
Assessment Breakdown
TypeDescription% of totalAssessment Date
ProjectEngineering Project60%n/a
AssignmentEngineering Technology Case Study Report40%n/a
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.

* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Manufacturing Technology
Lean and Six Sigma methodologies, Project Management, Material Resource Planning (MRP)

Computer Aided Engineering (CAE)
CAD - Advanced CAD Modelling, Design for Manufacture, Design for Assembly,

CAM - Programming Parameters, Cutting tool path generation and optimisation, Post programming; Generating and exporting g codes to CNC machine tool.

Computer Numerical Control (CNC) Machine Operation — CNC machine (Mill, Lathe and Laser Cutter) design and function, Machine Startup and calibration, Tool Setup, Part Setup, Standard Operating Procedures and Health and Safety Considerations, Conversational Part Programming.

Additive Manufacturing (AM) — Exporting .stl files from Parametric CAD model data. Using slicer software to prepare and outline suitable parameters for fused deposition modelling (FDM) and stereolithography (STL) 3D printing operations.

Emerging Technologies
Emerging technologies to include but not limited to — Factories of the Future, Industry 4.0, SMART manufacturing, Medical device design, Augmented and Virtual Reality, sustainability, energy, food technology and supply.

Skill needs
Regional Skill needs and industrial capacity — engineering and technological product and service industries and their impact to social and economic development — including national strategy. Identify the industrial ecosystem and its relationship with education and training.

Education and Training linking to industry
Structure of education systems and relationships — to include but not limited to — Primary Education, Post-Primary Education, Further Education and Training, Education and Training Boards (ETB’s), Technological Higher Education Sector (Technological Universities and Institutes of Technologies) and Universities

Indicative Reading List

Books:
  • Bi, Z., Wang, X.,: 2020, Computer Aided Design and Manufacturing. John Wiley & Sons. ISBN 9781119534211 ISBN-13 1119534216,
  • Kalpakjian, S., Schmid, R.: 2013, Manufacturing Engineering and Technology. Prentice Hall. ISBN 0133128741 ISBN-13 9780133128741,


Articles:
None
Other Resources

None

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