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Monitoring and control of highspeed milling
2003 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The ability to monitor the behaviour of machine tools and cutting processes is important both from a research perspective as well as in industrial applications such as adaptive control, condition monitoring, process optimization and quality control. The division of Manufacturing Engineering at LuleƄ university of technology have been carrying out research in the area of high speed and multi axis (5- axis) machining since the mid 1990's. This European and nationally funded research, much of it carried out with Nottingham University and Sandvik Coromant, as well as in manufacturing companies in Sweden and the UK, has focused on understanding the possibilities offered by 5-axis / high speed machining, as well as understanding the machining process. This initially empirical work has become more qualitative through the development of an instrumented machine tool test bed based on a 5-axis Leichti Turbomill equipped with a 24,000 rpm spindle and fast controller. The instrumentation that has been implemented includes piezo-electric force transducers in the machine table whilst ongoing work will move the research focus towards monitoring vibration in the workpiece for which accelerometers and acoustic emission sensors will be used. The work presented will highlight the problems and solutions involved in creating the present test bed as well as indicating future research directions and challenges

Place, publisher, year, edition, pages
Keyword [en]
Technology, Machine tool, High speed milling, Piezoelectric, Acoustic, emission, Accelerometer, Force transducer
Keyword [sv]
URN: urn:nbn:se:ltu:diva-48894ISRN: LTU-EX--03/307--SELocal ID: 6508de20-0076-46ed-a486-73994eff0164OAI: diva2:1022239
Subject / course
Student thesis, at least 30 credits
Educational program
Mechanical Engineering, master's level
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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