Measurement and Analysis Methods in Manufacturing (5cr)
Course unit code: C-10122-KONE--415
General information
- Credits
- 5 cr
- Institution
- University of Tampere
Objectives
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.
Content
Core contentChain from design via manufacturing to verification of processTerms 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 systemsMathematical modeling of factors contribuing to measurement uncertaintyThe 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 featuresComplementary knowledgeGeometrical product specifications standardisation systemUse of these methods for other quantities them derivatives of meterStatistical mathematics and utilization of probability distributions to calculationsKnowing the principles, features as well problems helps to find the best solutions. Measuring reports - understanding tracability chain, international agreements within quality assurance, Specialist knowledgeCoordinate measuring machines, optical measuring systemsModern optical measurement and digital operations of picture
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. PrerequisiteCode: MEI-50400Name: Introduction to Production EngineeringECTS credits: 5Mandatory: AdvisablePrerequisiteCode: MAT-02500Name: Probability CalculusECTS credits: 4Mandatory: MandatoryPrerequisiteCode: MAT-02550Name: StatisticsECTS credits: 4Mandatory: Advisable
Further information
All course materials will be in English, but the lectures will be given partly in Finnish. All course tasks have to be submitted in English.Course uses Moodle page for all communications, distributing materials, etc. Moodle page requires an enrollment key, which will be sent to enrolled students before course starts.Partial completions of the course must be carried out during the same implementation round.