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Module Code - Title:

PT4047 - MEASUREMENT AND QUALITY SYSTEMS

Year Last Offered:

2025/6

Hours Per Week:

Lecture

2

Lab

2

Tutorial

0

Other

2

Private

4

Credits

6

Grading Type:

Prerequisite Modules:

Rationale and Purpose of the Module:

Measurement and Quality systems aims to give students an appreciation of the importance of measurement standards and systems, so that manufactured components achieve the desired tolerances. Students apply robust engineering principles to a variety of measurement requirements through traditional laboratories and lectures. Students also learn to apply scientific principles to the analysis of manufacturing data to identify special causes of variation in variable and attribute data. Students thereby use the results of their analyses to identify areas that need improvement.

Syllabus:

Basis of measurement and interchangeability, limits and fits, ISO 286 (GD&P). Line and length standards, optical flats, interferometry, errors in measurement. Measuring instruments and techniques: Length, angle, flatness, straightness, displacement. Measurement of straightness, machine tool alignment, flatness, surface texture (ISO4288), roundness, form. Process Variability: Central Limit Theorem, confidence limits, capability tests, indices, Gage R & R studies. Charting techniques: X/R and X/S, average run length, Cusum, np, c, p and u charts. Acceptance sampling: OC curves, design of single, double and sequential sampling plans, variables sampling, continuous sampling. International standards e.g. ISO 8550-1, ISO7870, BS600 Statistical Process Control, Statistical Process Control for Variable Data, Statistical Process Control for Attribute Data, Short Run SPC, Minor Project.

Learning Outcomes:

Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)

On successful completion of this module students will be able to: 1. Apply ISO286 or other relevant standard to the specification of limits for required fits and to the design of associated gauges 2. Using feature and attribute data from an item in continuous production, determine process capability, suggest corrective action, and design appropriate control charts 3. Write a report on a real component or production process using the principles of metrology and/or statistical process control

Affective (Attitudes and Values)

N/A

Psychomotor (Physical Skills)

On successful completion of this module students will be able to: 1. Use a doppler laser and set up optics to measure machine bed straightness, yaw and flatness and use manual instrument and gauge techniques, and a CMM, to measure angles and cone tapers. 2. Use stylus tracing instruments to inspect and measure machined surface textures, roundness and concentricity and be able to determine related engineering properties from first principles 3. Calculate and draw process Operating Characteristic curves and design an acceptance plan according to relevant standards.

How the Module will be Taught and what will be the Learning Experiences of the Students:

The module will be delivered in a student-centered active learning lecture setting complimented with laboratory practical sessions. The desired space for lectures is the active learning laboratory, where students can collaborate to solve relevant problems based on information provided through short lectures. Students will undertake metrology laboratories under the guidance of technical support staff and teaching assistants / academics to measure engineering artefacts using bespoke equipment with high resolution and accuracy. Technology Enhanced Learning Reports from laboratories undergo a peer review process using PeerScholar to support learner formative feedback. Notes and support material are available on Brightspace with sample mathematical questions available through Grasple allowing students to practice mathematical questions. Vevox or MS Forms is used to check student's understanding of difficult concepts and to monitor attendance. Graduate attributes: Problems presented to students are typical of those found in industrial settings and encourage students to be curious problem solvers, critical, knowledgeable and inquisitive. Students need to be articulate when writing reports of their laboratory findings, where they are expected to follow a DMAIC approach format following lean principles. Students need to be agile in their thinking to find the optimum solutions do difficult metrology and statistical process control type problems.

Research Findings Incorporated in to the Syllabus (If Relevant):

Prime Texts:

Galyer, J.F.W. and Shotbolt C.R. (1990) Metrology for Engineers , Cassell
Dotson, C., Harlow, R., Thompson, R.L. (2016) Fundamentals of Dimensional Metrology , Cengage
Mikell P. Groover (2019) Fundamentals of Modern Manufacturing: Materials, Processes, and Systems, 7th Edition , Wiley
Ronald A. Kohser, Peter C. Collins, J. T. Black (2024) DeGarmo's Materials and Processes in Manufacturing, 14th Edition , Wiley
David B. Newell, Eite Tiesinga (2025) The International System of Units - 9th edition , NIST
(2021) ISO 21920-3 2021 Geometrical product specifications (GPS) -- Surface texture: Profile -- Part 1: Indication of surface texture , International Organization for Standardization
(2010) Geometrical product specifications (GPS). ISO code system for tolerances on linear sizes - Basis of tolerances, deviations and fits , International Organization for Standardization
(2021) BS ISO 7870-4:2021 Control Charts - Cumulative Sum Charts , International Organization for Standardization
(2017) ISO/TR 8550-1:2007 Guidance on the selection and usage of acceptance sampling systems for inspection of discrete items in lots Part 1: Acceptance sampling , International Organization for Standardization
Douglas C. Montgomery, George C. Runger (2020) Applied Statistics and Probability for Engineers , Wiley

Other Relevant Texts:

Programme(s) in which this Module is Offered:

BSTEMAUFA - TECHNOLOGY MANAGEMENT

Semester(s) Module is Offered:

Autumn

Module Leader:

david.tanner@ul.ie