Open University

Measurement and Analysis Methods in Manufacturing, Lectures

Tampere University

Extent

5 cr

Course dates

12.1.2022- 29.4.2022

Application period

15.11.2021-6.12.2021

Fees

75,00 € (15 €/cr)

Campus

Hervanta Campus

City

Tampere

Faculty or school

Faculty of Engineering and Natural Sciences

Language of instruction

English

Code

KONE.415

Study fields

Technology and Natural Sciences

Mode of study

Contact teaching

Study level

Intermediate studies

Measurement and Analysis Methods in Manufacturing, 5 cr

Code: KONE.415

Language of instruction: English

Description

After completing the course student understands the fundamentals of different methods used in measurements within machine shop. Student is able to define and calculate the uncertainty of measurements and is familiar with geometrical product specification ISO-standard system. He/She is able to choose between different measuring methods depending on the workpiece specifications. He/She has basic understanding of quality assurance with optical and tactile coordinate measuring machine. Student is able to identify and make arrangements of measurement system for small- and middle size work piece assemblies using optical measurement set-ups.

Core content

Chain from design via manufacturing to verification of process
Terms of measuring uncertainty. Using harmonized principles how to determine measuring uncertainty. (EA-4/02 and Substitution Method - ISO 15530)Basic concepts and methods of programming machine vision systems
Mathematical modeling of factors contribuing to measurement uncertainty
The principles, and possibilities of most important optical co-ordinate measuring systems (dimensional metrology).
Measuring strategies and filtering of points. Different mathematical methods to analyse the measured features

Complementary knowledge

Geometrical product specifications standardisation system
Use of these methods for other quantities them derivatives of meter
Statistical mathematics and utilization of probability distributions to calculations
Knowing the principles, features as well problems helps to find the best solutions.
Measuring reports - understanding tracability chain, international agreements within quality assurance,

Specialist knowledge

Coordinate measuring machines, optical measuring systems
Modern optical measurement and digital operations of picture

Course dates

Common

Laboratory Group 1:

09.03.2022 10:00 - 12:00, TAU Konetalo K2115A harjoitussali (28)
16.03.2022 10:00 - 12:00, TAU Konetalo K2115A harjoitussali (28)
23.03.2022 10:00 - 12:00, TAU Konetalo K2115A harjoitussali (28)
30.03.2022 10:00 - 12:00, TAU Konetalo K2115A harjoitussali (28)
06.04.2022 10:00 - 12:00, TAU Konetalo K2115A harjoitussali (28)
20.04.2022 10:00 - 12:00, TAU Konetalo K2115A harjoitussali (28)

Lecture:

12.01.2022 10:00 - 12:00, TAU Tietotalo TC103 harjoitussali (30)
19.01.2022 10:00 - 12:00, TAU Tietotalo TC103 harjoitussali (30)
26.01.2022 10:00 - 12:00, TAU Tietotalo TC103 harjoitussali (30)
02.02.2022 10:00 - 12:00, TAU Tietotalo TC103 harjoitussali (30)
09.02.2022 10:00 - 12:00, TAU Tietotalo TC103 harjoitussali (30)
16.02.2022 10:00 - 12:00, TAU Tietotalo TC103 harjoitussali (30)
23.02.2022 10:00 - 12:00, TAU Tietotalo TC103 harjoitussali (30)

Prerequisites

This is a Masters level course mainly aimed for students who study Production Engineering. Therefore basic knowledge about production engineering and statistical and probability mathematics is needed to understand the fundamentals of course topics and to successfully fulfill the level of understanding in calculation as well as the exercises on the course.

Prerequisite

Code: MEI-50400
Name: Introduction to Production Engineering
ECTS credits: 5
Mandatory: Advisable

Prerequisite

Code: MAT-02500
Name: Probability Calculus
ECTS credits: 4
Mandatory: Mandatory

Prerequisite

Code: MAT-02550
Name: Statistics
ECTS credits: 4
Mandatory: Advisable

Recommended Prerequisites

Introduction to Production Engineering, KONE.150, 5 cr

Teaching material

Material

Type: Other online content
Name: Evaluation of measurement data; Guide to the expression of uncertainty in measurement
Author: BIPM
Exam material: No
URL: www.bipm.org/utils/common/documents/jcgm/JCGM_100_2008_E.pdf
Language: English

Material

Type: Other online content
Name: Standards related to subject
Author: ISO / SFS
Exam material: No
URL: www.sfs.fi
Language: English

Material

Type: Lecture slides
Name: Lecture materials
Author: Lecturers
Exam material: No
Language: English

Assessment methods

Contact information

How to apply

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Some courses may require prior knowledge. Please check course info in Information about studies and Prerequisites.

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