Measurement assisted robotic edge deburring of aero engine components

Aero engine components are often subjected to high stress levels and vibrations during operation. The mechanical integrity of these machined components may be compromised by the presence of burrs and sharp edges. Therefore the removal of burrs and the creation of rounded edges is necessary. To do this manually is time consuming and costly and may have potential quality issues. The application of robots to deburring has been limited by the difficulties in achieving the required degree of quality, controlling reaction forces during metal removal and the lack of tooling designed specifically for robots. The work presented in this paper introduces an efficient robotic deburring method, which is developed based on generation real-time robotic deburring path. The approach uses an in-process measurement sensor to determine the component's exact location prior to the deburring operation. The core of the system is a set of algorithms capable of fitting and generating the required robot path relative to the feature to be profiled. Reducing the reliance on accurate dedicated part holding fixtures and uses laser guided robot ensures the developed deburring system is highly flexible and re-configurable. The paper describes the development of deburring process for a simple straight edge feature and its application to more complex ones. The algorithms were evaluated using representative test pieces made from Titanium, RR1000 and super CMV alloys using a spindle attached to an industrial robot.

[1]  João Fernando Gomes de Oliveira,et al.  A NEW APPROACH FOR TOOL PATH CONTROL IN ROBOTIC DEBURRING OPERATIONS , 2003 .

[2]  Hui Zhang,et al.  On-Line Path Generation for Robotic Deburring of Cast Aluminum Wheels , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Changhoon Kim,et al.  Robust coordination control of a pneumatic deburring tool: Research Articles , 2005 .

[4]  Gholamreza Vossoughi,et al.  Intelligent active vibration control of constrained manipulaors in robotic deburring , 2009, 2009 International Conference on Industrial Mechatronics and Automation.

[5]  J. Norberto Pires,et al.  Force control experiments for industrial applications: a test case using an industrial deburring example , 2007 .

[6]  Antonio Visioli,et al.  A mechatronic approach for robotic deburring , 2007 .

[7]  Joseph M. Schimmels,et al.  Multidirectional compliance and constraint for improved robotic deburring. Part 2: improved bracing , 2001 .

[8]  Azmi Hassan,et al.  The repeatability analysis of industrial robot under loaded conditions and various distances , 2008 .

[9]  Yong Wang,et al.  Adaptive Control of Robotic Deburring Process Based on Impedance Control , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[10]  Mohd. Zaki Nuawi,et al.  Tool life monitoring using coefficient of integrated Kurtosis-based algorithm for Z-filter (I-kaz) technique , 2007 .

[11]  Changhoon Kim,et al.  Robust coordination control of a pneumatic deburring tool , 2006 .

[12]  Keith A. Stouffer,et al.  ADACS-an automated system for part finishing , 1993, Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics.

[13]  Daehie Hong,et al.  Coordination control of an active pneumatic deburring tool , 2008 .

[14]  H. Torabian,et al.  Design and construction of multi axes data acquisition system for robot performance measurement , 2007 .

[15]  Fengfeng Xi,et al.  Modeling and control of automated polishing/deburring process using a dual-purpose compliant toolhead , 2008 .

[16]  Michael Schnell,et al.  An automated quick accuracy and output signal check for industrial robots , 2006 .

[17]  Robert Bogue,et al.  Finishing robots: a review of technologies and applications , 2009, Ind. Robot.

[18]  Philipp Roebrock A flexible multi-sensor positioning system for industrial r obots , 2008 .

[19]  Cesare Rossi,et al.  A robot cinematic calibration technique , 2006 .

[20]  Yong Wang,et al.  An Adaptive algorithm for robotic deburring based on impedance control , 2006, 2006 IEEE International Symposium on Industrial Electronics.