Identifying Data

2017/18

Subject (*)

Engineering Metrology and Quality Control

Code

730G03032

Study programme

Grao en Enxeñaría Mecánica

Descriptors

Cycle

Period

Year

Type

Credits

Graduate

2nd four-month period

Third

Obligatoria

Language

Spanish

Galician

Teaching method

Face-to-face

Prerequisites

Department

Enxeñaría Naval e Industrial

Coordinador

Lopez Diaz, Ana Jesus

E-mail

ana.xesus.lopez@udc.es

Lecturers

Lopez Diaz, Ana Jesus

Yañez Casal, Armando Jose

E-mail

ana.xesus.lopez@udc.es

armando.yanez@udc.es

Web

General description

A materia de Metroloxía e Control de Calidade trata sobre as técnicas necesarias para a planificación e realización do control de calidade en procesos de fabricación. En primeiro lugar introdúcense os conceptos fundamentais sobre medición, para poder caracterizar as variables que máis adiante serán utilizadas no control de calidade. Posteriormente, incídese na estreita relación entre a variabilidade dos parámetros de fabricación e a calidade final do produto, para despois estudar a devandita variabilidade dende un punto de vista estatístico. Finalmente, descríbense as técnicas de control de calidade baseadas en estatística, o que se coñece como Control Estatístico de Procesos. As devanditas técnicas van encamiñadas a encontrar un equilibrio entre os custos que supón o control de calidade e os custos potenciais de realizar un control insuficiente.

Study programme competencies

Code	Study programme competences
A26	Coñecemento aplicado de sistemas e procesos de fabricación, metroloxía e control de calidade.
B1	Que os estudantes demostren posuír e comprender coñecementos nunha área de estudo que parte da base da educación secundaria xeral e adoita encontrarse a un nivel que, aínda que se apoia en libros de texto avanzados, inclúe tamén algúns aspectos que implican coñecementos procedentes da vangarda do seu campo de estudo
B2	Que os estudantes saiban aplicar os seus coñecementos ao seu traballo ou vocación dunha forma profesional e posúan as competencias que adoitan demostrarse por medio da elaboración e defensa de argumentos e a resolución de problemas dentro da súa área de estudo
B4	Que os estudantes poidan transmitir información, ideas, problemas e solucións a un público tanto especializado como leigo
B5	Que os estudantes desenvolvan aquelas habilidades de aprendizaxe necesarias para emprenderen estudos posteriores cun alto grao de autonomía
B7	Ser capaz de realizar unha análise crítica, avaliación e síntese de ideas novas e complexas
B9	Adquirir unha formación metodolóxica que garanta o desenvolvemento de proxectos de investigación (de carácter cuantitativo e/ou cualitativo) cunha finalidade estratéxica e que contribúan a situarnos na vangarda do coñecemento
C1	Utilizar as ferramentas básicas das tecnoloxías da información e as comunicacións (TIC) necesarias para o exercicio da súa profesión e para a aprendizaxe ao longo da súa vida.
C2	Desenvolverse para o exercicio dunha cidadanía aberta, culta, crítica, comprometida, democrática e solidaria, capaz de analizar a realidade, diagnosticar problemas, formular e implantar solucións baseadas no coñecemento e orientadas ao ben común.
C4	Valorar criticamente o coñecemento, a tecnoloxía e a información dispoñible para resolver os problemas cos que deben enfrontarse.
C5	Asumir como profesional e cidadán a importancia da aprendizaxe ao longo da vida.

Learning aims

Learning outcomes	Study programme competences
Knowing the measurement principles that should be taken into account to make a measurement	A26	B1 B2 B4 B5 B7 B9	C1 C4 C5
Knowing the tools currently available to characterize dimensionally industrial product. Select the most appropriate to take a measurement.	A26	B1 B2 B4 B5 B7 B9	C1 C4 C5
Understanding the importance of quality control in modern manufacturing processes. Studying different types of variability, its causes and effects. Understanding variability as a measure of the quality of a manufacturing process.	A26	B1 B2 B4 B5 B7 B9	C1 C4 C5
Knowing the basic statistical tools to analyze properly the behavior of the variables that define the quality of a product. Studying the methods commonly used to verify the existence of cause-effect relationships between process variables.	A26	B1 B2 B4 B5 B7 B9	C1 C4 C5
Knowing the most common methods for statistical process control, especially control charts. Learning how to perform and interpret these graphs by using statistical software.	A26	B1 B2 B4 B5 B7 B9	C1 C4 C5
A complementary fashion, in addition to the above knowledge, characteristic of the course, students will develop their skills in teamwork, information search and management literature, writing papers, exhibition and public defense and critical analysis, among others.		B1 B2 B4 B5 B7 B9	C1 C2 C4 C5

Contents

Topic	Sub-topic
Os bloques ou temas seguintes desenvolven os contidos establecidos na ficha da Memoria de Verificación	Medición e verificación. Unidades e patróns de medida. Metrotecnia. Principios de medición. Sistematización das causas de erros. Criterios de rechazo dunha medida. Instrumentos de medida de lonxitudes, ángulos e formas. Aa calidade na fabricación: planificación e métodos de inspecióne verificación. Avaliación da calidade nas medidas, ferramentas e técnicas para avaliar a calidade e os costes. Control estatístico do proceso. Control de calidade total
1. Introduction to metrology.	1.1. Introduction and history of metrology. 1.2. Systems units. The International System. 1.3. The measurement procedure. 1.4. Uncertainty quantification 1.5. Traceability and calibration
2. Applications of metrology industry	2.1. Dimensional metrology. 2.2. Length measurement. Instrumentation. 2.3. Surface quality: Roughness 2.4. Other measures: mass, time, temperature, light intensity and electrical quantities.
3. Quality Control	3.1. Introduction to quality control 3.1.1. Historical development of quality control 3.1.2. Maintaining and improving quality 3.2. Basic tools for quality improvement 3.2.1. Data collection. 3.2.2. Diagrams and their types: Pareto, cause and effect, bivariate.
4. Variability in quality control	4.1. Causes of variability 4.2. Probabilistic models. 4.3. Comparison of two treatments. 4.4. Comparison of more than two treatments: Analysis of variance
5. Statistical Process Control	5.1. introduction 5.2. Control charts. 5.3. for variables 5.4. For attributes. 5.5. Other control charts.

Planning

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Guest lecture / keynote speech	A26 B1 B5 B7 B9 C1 C2 C4 C5	21	15	36
Problem solving	A26 B1 B2 B4 B5 B7 B9 C1 C2 C4 C5	16	35	51
Seminar	A26 B1 B2 B4 B5 B7 B9 C1 C2 C4 C5	8	10	18
Mixed objective/subjective test	A26 B1 B2 B4 B5 B7 B9 C1 C4	2.5	20	22.5
Supervised projects	A26 B1 B2 B4 B5 B7 B9 C1 C2 C4 C5	0	20.5	20.5

Personalized attention		2	0	2

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies

Methodologies	Description
Guest lecture / keynote speech	Lectures which will develop the course content
Problem solving	Interactive classes in which they solve exercises representative of content covered in lectures.
Seminar	Tutoring lessons in small groups where they will analyze and discuss the issues that have a major difficulty for students and the supervised work
Mixed objective/subjective test	In addition to the various activities planned, students must take a final exam on the content of the material, which consist of a series of short questions of theory and practice, as well as two or three issues of implementation, with a total duration of approximately two hours.
Supervised projects	El alumnado deberá desarrollar y entregar una serie de ejercicios y actividades propuestas durante el curso, sobre aplicaciones concretas de algunos aspectos de la materia.

Personalized attention

Methodologies

Problem solving

Supervised projects

Seminar

Description

For questions about any aspect that students deems appropriate, besides tutorials in small groups, there are six hours a week of tutoring in the schedule published by the website of the UDC.

Assessment

Methodologies	Competencies	Description	Qualification
Mixed objective/subjective test	A26 B1 B2 B4 B5 B7 B9 C1 C4	In addition to the various activities planned, students must take a final exam on the contents of the subject, which consist of a series of short questions of theory and practice, as well as two or three issues of implementation, with a total duration of approximately two hours.	80
Supervised projects	A26 B1 B2 B4 B5 B7 B9 C1 C2 C4 C5	Students must develop and deliver a series of exercises and activities proposed during the course, on the specific application of some aspects of the subject.	20

Assessment comments
O alumnado matriculado a tempo parcial deberá poñerse en contacto, a principio de curso, co profesorado para programar a realización das actividades previstas para superar a materia.

Sources of information

Basic	A. M. Sánchez Pérez (1999). Fundamentos de Metrología. Universidad Politécnica de Madrid Douglas C. Montgomery (2009). Introduction to Statistical Quality Control. John Wiley and Sons, Inc. A. Prat, X. Tort-Martorell, P. Grima y L. Pozueta (1997). Métodos estadísticos: control y mejora de la calidad. Edicions UPC L. Sevilla y M.J. Martín (2008). Metrología dimensional. Universidad de Málaga James R. Thomson, Jacec Joronacki (2002). Statistical Process Control. Chapman & Hall / CRC William A. Levinson (2011). Statistical Process Control for Real World Aplications. CRC Press

Complementary	E. G. Schilling, D. V. Neubauer (2009). Acceptance Sampling in Quality Control. CRC Press AENOR (2001). Metrología Dimensional. AENOR Centro Español de Metrología (1998). Metrología disposiciones legales. Madrid : Ministerio de Fomento, Centro Español de Metrología

Recommendations

Subjects that it is recommended to have taken before

Engineering Drawing/730G03002

Physics I /730G03003

Statistics/730G03008

Subjects that are recommended to be taken simultaneously

Manufacturing Processes/730G03022

Subjects that continue the syllabus

Other comments

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.