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Adaptiv CNC

Pollen, Aleksander
Master thesis
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alekspoAdaptiveCNC.pdf (15.47Mb)
Year
2017
Permanent link
http://urn.nb.no/URN:NBN:no-60174

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  • Institutt for informatikk [3603]
Abstract
CNC milling machines have long been a type of work that only experienced operators can handle. With many different setups, parameters, tools and materials, it becomes hard to manage and start milling. The risk of breaking the milling tool or the workpiece is high when the parameters are not correctly set. Moreover, tool wear is greater at wrong settings. This thesis questions if it is possible to monitor the milling process with simple sensors and hardware attached to any milling machine to warn the user and stop the machine before it breaks anything. Implementing this will make it less dangerous and simpler for any operator to use. Lowering the knowledge and experience needed to use a CNC milling machine making it safer, less expensive and more accessible.
 
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