Feeling machines for online detection and compensation of tool deflection in milling
| Autor: | Berend Denkena, Haythem Boujnah |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
business.product_category Computer science Mechanical Engineering Mechanical engineering Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Industrial and Manufacturing Engineering Machine tool 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Machining Deflection (engineering) business |
| Zdroj: | CIRP Annals. 67:423-426 |
| ISSN: | 0007-8506 |
| DOI: | 10.1016/j.cirp.2018.04.110 |
| Popis: | In milling, the tool deflection negatively affects the accuracy of the workpiece geometry. Feeling machines with force sensing capabilities represent a promising enabler to detect and to compensate the deflection-related machining failures in real time. This paper gives an overview about current applications of feeling machine tools and developments of monitoring and compensation systems for tool deflection. At first, a method to integrate strain sensors within rigid machine tool structures is introduced. Secondly, the prototypical application within commercial milling centres is presented. Finally, two compensation strategies for tool deflection via feed- and position-based control are discussed and experimentally evaluated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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