Module Database Search
MODULE DESCRIPTOR | |||
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Module Title | |||
Digital Manufacturing | |||
Reference | EN4505 | Version | 5 |
Created | March 2024 | SCQF Level | SCQF 10 |
Approved | March 2021 | SCQF Points | 30 |
Amended | April 2024 | ECTS Points | 15 |
Aims of Module | |||
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To provide the student with knowledge of the skills required to use a variety of commercial software packages in the design and manufacture of products, and the rapid prototyping techniques which can be used to reduce time to market for new products. |
Learning Outcomes for Module | |
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On completion of this module, students are expected to be able to: | |
1 | Develop Numerical Control (NC) codes to machine solid geometry features using an integrated feature based solid modelling and multi axis NC manufacturing programming package. |
2 | Operate an integrated feature based solid modelling and manufacturing (mould flow simulation) package. |
3 | Justify the use of rapid prototyping in reducing the time to market of complex shaped components in an industrial environment. |
4 | Examine the concepts of Design of Experiments and Six Sigma analysis including techniques for the optimisation of engineering components. |
Indicative Module Content |
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Computer aided NC programming, set up of manufacture model from solid model, specification of machine tool and cutting tool, identification of surfaces to be machined, creation of machining sequence, post processing. Evaluation of polymer components for moulding, use of software to create the mould model from component solid model, position of sprues and runners, optimisation of material flow in mould to critically assess the mouldability of components. Rapid prototyping, comparison of different rapid prototyping techniques, surface finish, component size, accuracy etc, cost of machine and prototype components, application of the rapid prototyping in the industrial environment. Sensitivity and optimisation: design a range of design variables for geometric and material properties for sensitivity studies for linear elastic static, dynamic and thermal problems to establish initial parameters, perform optimal solution using selected design variables for specified optimisation goal and imposed design constraints, such as displacement, stress, temperature and frequency. Define the concepts of Design of Experiments and Six Sigma analysis and apply the concepts to sensitivity studies for optimisation of engineering components. |
Module Delivery |
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Module delivered by means of lectures, tutorials and self-guided study, integrated with computer-based applications. |
Indicative Student Workload | Full Time | Part Time |
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Contact Hours | 100 | N/A |
Non-Contact Hours | 200 | N/A |
Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
TOTAL | 300 | N/A |
Actual Placement hours for professional, statutory or regulatory body |   |   |
ASSESSMENT PLAN | |||||
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If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
Component 1 | |||||
Type: | Coursework | Weighting: | 50% | Outcomes Assessed: | 1, 2 |
Description: | Report covering NC manufacturing and solid modelling. | ||||
Component 2 | |||||
Type: | Examination | Weighting: | 50% | Outcomes Assessed: | 3, 4 |
Description: | Online test |
MODULE PERFORMANCE DESCRIPTOR | ||||||||
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Explanatory Text | ||||||||
The module has 2 components and to gain an overall pass a minimum D grade must be achieved in each component. The component weighting is as follows: C1 is worth 50% and C2 is worth 50%. | ||||||||
Coursework: | ||||||||
Examination: | A | B | C | D | E | F | NS | |
A | A | A | B | B | E | E | ||
B | A | B | B | C | E | E | ||
C | B | B | C | C | E | E | ||
D | B | C | C | D | E | E | ||
E | E | E | E | E | E | E | ||
F | E | E | E | E | E | F | ||
NS | Non-submission of work by published deadline or non-attendance for examination |
Module Requirements | |
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Prerequisites for Module | Completion of EN3109 or equivalent. |
Corequisites for module | None. |
Precluded Modules | None. |
INDICATIVE BIBLIOGRAPHY | |
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1 | Groover, Mikell. 2017. Principles of modern manufacturing. Hoboken, New Jersey : John Wiley & Sons, Inc. |
2 | JACOB P F., 1992. Rapid Prototyping and manufacturing |
3 | KALPAKJIAN, S. and SCMID S., 2014. Manufacturing engineering & technology. 7th ed. Harlow: Pearson. |