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Ford, Derek G.; Myers, Alan; Haase, Frerk; Lockwood, Stephen; Longstaff, Andrew P. (2013)
Publisher: Professional Engineering Publishing
Languages: English
Types: Article
Subjects: TJ
There is a requirement for improved three-dimensional surface characterisation and reduced tool wear when modern computer numerical control (CNC) machine tools are operating at high cutting velocities, spindle speeds and feed rates.\ud For large depths of cut and large material removal rates, there is a tendency for machines to chatter caused by selfexcited vibration in the machine tools leading to precision errors, poor surface finish quality, tool wear and possible\ud machine damage. This study illustrates a method for improving machine tool performance by understanding and adaptively controlling the machine structural vibration. The first step taken is to measure and interpret machine tool vibration and produce a structural model. As a consequence, appropriate sensors need to be selected and/or designed and then integrated to measure all self-excited vibrations. The vibrations of the machine under investigation need to be clearly understood by analysis of sensor signals and surface finish measurement. The active vibration control system has been\ud implemented on a CNC machine tool and validated under controlled conditions by compensating for machine tool vibrations on time-varying multi-point cutting operations for a vertical milling machine. The design of the adaptive control system using modelling, filtering, active vibration platform and sensor feedback techniques has been demonstrated to be successful.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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