Tool condition monitoring in an end-milling operation based on the vibration signal collected through a microcontroller-based data acquisition system

Machine condition plays an important role in machining performance. A machine condition monitoring system will provide significant economic benefits when applied to machine tools and machining processes. Development of such a system requires reliable machining data that can reflect machining processes. This study demonstrates a tool condition monitoring approach in an end-milling operation based on the vibration signal collected through a low-cost, microcontroller-based data acquisition system. A data acquisition system has been built through interfacing a microcontroller with a signal transducer for collecting cutting vibration. The examination tests of this developed system have been carried out on a CNC milling machine. Experimental studies and data analysis have been performed to validate the proposed system. The onsite tests show the developed system can perform properly as proposed.

[1]  E. Degarmo.  Materials and Processes in Manufacturing , 1974 .

[2]  Amin Al-Habaibeh,et al.  A new approach for systematic design of condition monitoring systems for milling processes , 2000 .

[3]  Shang-Liang Chen,et al.  Data fusion neural network for tool condition monitoring in CNC milling machining , 2000 .

[4]  Erkki Jantunen,et al.  A summary of methods applied to tool condition monitoring in drilling , 2002 .

[5]  Amin Al-Habaibeh,et al.  Comprehensive experimental evaluation of a systematic approach for cost effective and rapid design of condition monitoring systems using Taguchi’s method , 2002 .

[6]  A. Geddam,et al.  A multi-sensor approach to the monitoring of end milling operations , 2003 .

[7]  Yalcin M. Ertekin,et al.  Identification of common sensory features for the control of CNC milling operations under varying cutting conditions , 2003 .

[8]  Sam Shearman.  Machine Condition Monitoring, Part 1: Vibration Acquisition and Analysis , 2003 .

[9]  Tzeng Yih-Fong,et al.  Dimensional quality optimisation of high-speed CNC milling process with dynamic quality characteristic , 2005 .

[10]  Jin Jiang,et al.  Erratum to: State-of-the-art methods and results in tool condition monitoring: a review , 2005 .

[11]  Roger Ivor Grosvenor,et al.  A review of the evolution of microcontroller-based machine and process monitoring , 2005 .

[12]  Gregory C. Smith,et al.  A method for detecting tool wear on a CNC lathe using a doppler radar detector , 2005 .

[13]  Jože Balič,et al.  An overview of data acquisition system for cutting force measuring and optimization in milling , 2005 .

[14]  Joseph C. Chen,et al.  The development of an in-process surface roughness adaptive control system in end milling operations , 2007 .