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Module Code - Title:

DM4027 - MEASUREMENT AND QUALITY SYSTEMS (ENG)

Year Last Offered:

2025/6

Hours Per Week:

Lecture

2

Lab

2

Tutorial

0

Other

0

Private

0

Credits

6

Grading Type:

Prerequisite Modules:

Rationale and Purpose of the Module:

Appreciate the importance of measurement standards and systems. Apply sound principles to a variety of measurement requirements. Understand and apply scientific principles to the analysis of manufacturing data. Use the results of the analysis to identify areas that need improvement.

Syllabus:

ISO9000 and its variants, requirements for a quality system, calibration needs and systems. Basis of measurement and interchangeability, limits and fits, BS4500. 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. Process Variability: capability tests, indices, R & R studies, Central Limit Theorem. 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. MIL-STD 105D, MIL-STD-414. 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 BS4500 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. To provide an understanding of Multiple Regression, two way analysis of variance.

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 be able to determine related engineering properties from first principles. 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. Use manual instrument and gauge techniques, and a CMM, to measure angles and cone tapers and be able to determine related engineering properties from first principles 4. Using feature and attribute data from an item in continuous production, determine process capability, suggest corrective action, and design appropriate control charts. 5. Calculate and draw process Operating Characteristic curves and design an acceptance plan to MIL -STD 105D. 6. Write up a report on a real component or production process using the principles of metrology and/or statistical process control

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

The module will be delivered in a formal lecture setting complimented with laboratory practical sessions.

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. and Thompson, R.L. (2003) Fundamentals of Dimensional Metrology , Thomson Delmar Learning
Evans and Lindsay () Process Capability Evaluation in Chapter 4 of the core text An Introduction to Six Sigma & Process Improvement ,
Evans and Lindsay () Statistical Thinking and Applications in Chapter 11 of the text The Management and Control of Quality ,
Ron Snee () Chapter 1 of the core text Six Sigma Beyond the Factory Floor: Deployment Strategies for Financial Services Healthcare and the Rest of the Real Economy ,

Other Relevant Texts:

Forrest W. Breyfogle III () Chapter 3 of the core text Implementing Six Sigma, Smarter Solutions Using Statistical Methods, Second Edition ,
Kapadia, M. (2000) Measuring your process capability, Quality and Productivity Journal, November , http://www.symphonytech.com/articles/processcapability.htm

Programme(s) in which this Module is Offered:

Semester(s) Module is Offered:

Module Leader:

david.tanner@ul.ie