Machining burrs formation & deburring of aluminium alloys

Although the machinability of most aluminium alloys can be classified as relatively easy when the tool wear and the cutting energy are considered, these materials could however raise some concerns when the chip formation and the burr formation are of concern. Burr formation, a phenomenon similar to chip generation, is a common problem that occurs in several industrial sectors, such as the aerospace and automobile sectors. It has also been among the most troublesome impediments to high productivity and automation, and large‐ ly affects the machined part quality. To ensure competitiveness, precise and burr-free com‐ ponents with tight tolerances and better surface finish are demanded. Intensive research conducted during the last decades has laid out the mechanisms of burr formation and de‐ burring in a very comprehensive fashion, and has introduced integrated strategies for burr prevention and minimization. Despite all the improvements realized, there are still many challenges encountered in understanding, modeling and optimizing the burr formation process and size, through production growth and cycle time reduction. Furthermore, acquir‐ ing a solid knowledge on deburring methods and the links between them and burr size is strongly recommended.

[1]  P. T. Blotter,et al.  The Formation and Properties of Machining Burrs , 1976 .

[2]  S. S. Pande,et al.  Investigations on reducing burr formation in drilling , 1986 .

[3]  Kazuo Nakayama,et al.  Burr Formation in Metal Cutting , 1987 .

[4]  H. Kazerooni,et al.  Automated robotic deburring using impedance control , 1988, IEEE Control Systems Magazine.

[5]  李幼升,et al.  Ph , 1989 .

[6]  David Dornfeld,et al.  A study on Burr formation mechanism , 1991 .

[7]  David Dornfeld,et al.  Acoustic Emission Feedback for Precision Deburring , 1992 .

[8]  David Dornfeld,et al.  Burr/Breakout Model Development and Experimental Verification , 1996 .

[9]  O. Olvera,et al.  An experimental study of burr formation in square shoulder face milling , 1996 .

[10]  Jeong-Du Kim,et al.  High-spend machining of aluminium using diamond endmills , 1997 .

[11]  G Barrow,et al.  Influence of exit angle and tool nose geometry on burr formation in face milling operations , 1998 .

[12]  D. Dornfeld,et al.  Avoiding Exit Burr in CNC End Milling by an Adapted Tool Path , 1998, Manufacturing Science and Engineering.

[13]  David Dornfeld,et al.  Effect of In-Plane Exit Angle and Rake Angles on Burr Height and Thickness in Face Milling Operation , 1999 .

[14]  C. Chu,et al.  Avoiding Tool Exit in Planar Milling by Adjusting Width of Cut , 2000, Manufacturing Engineering.

[15]  Chih-Hsing Chu,et al.  Tool Path Planning for Avoiding Exit Burrs , 2000 .

[16]  L. Ken Lauderbaugh Saunders,et al.  An Exit Burr Model for Drilling of Metals , 2001 .

[17]  Sung-Lim Ko,et al.  Analysis of burr formation in drilling with a new-concept drill , 2001 .

[18]  Kenji Toda,et al.  Automation of chamfering by an industrial robot; for the case of hole on free-curved surface , 2002 .

[19]  David Dornfeld,et al.  Development of an Analytical Model for Drilling Burr Formation in Ductile Materials , 2002 .

[20]  Chih-Hsing Chu,et al.  Prediction and Simulation of Milling Burr Formation for Edge-Precision Process Planning , 2002 .

[21]  J. Bonney,et al.  Burr formation in face milling of cast iron with different milling cutter systems , 2003 .

[22]  Pai-Chung Tseng,et al.  The Burrs Formation Prediction and Minimization Based on the Optimal Cutting Parameters Design Method , 2003 .

[23]  Gui Cheng Wang,et al.  Mechanism of Burr Formation in Milling , 2003 .

[24]  David Dornfeld,et al.  Back Cutting and Tool Wear Influence on Burrs in Face Milling - Analysis and Solutions , 2004 .

[25]  David Dornfeld,et al.  The Effect of Dry Machining on Burr Size , 2004 .

[26]  C-H Chu,et al.  Linking tool paths generated with different offset distances for edge quality enhancement in planar milling , 2004 .

[27]  Miguel C. Avila,et al.  On The Face Milling Burr Formation Mechanisms and Minimization Strategies at High Tool Engagement , 2004 .

[28]  David Dornfeld,et al.  Influences on Burr Size During Face-Milling of Aluminum Alloys and Cast Iron , 2004 .

[29]  Jan C. Aurich,et al.  Characterisation of Burr Formation in Grinding and Prospects for Modelling , 2005 .

[30]  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.

[31]  Jean M. Dasch,et al.  A comparison of five categories of carbon-based tool coatings for dry drilling of aluminum , 2006 .

[32]  Shantanu Tripathi,et al.  Review of Geometric Solutions for Milling Burr Prediction and Minimization , 2006 .

[33]  João Paulo Davim,et al.  A comparative study of the ANN and RSM modeling approaches for predicting burr size in drilling , 2008 .

[34]  Lihui Wang,et al.  Smart Devices and Machines for Advanced Manufacturing , 2008 .

[35]  Fengfeng Xi,et al.  A Tripod-based Polishing/Deburring Machine , 2008 .

[36]  Sangkee Min,et al.  Burrs—Analysis, control and removal , 2009 .

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

[38]  L. K. Lauderbaugh,et al.  Analysis of the effects of process parameters on exit burrs in drilling using a combined simulation and experimental approach , 2009 .

[39]  Azziz Tiabi Formation des bavures d'usinage et finition de pièces , 2010 .

[40]  Kamlakar P Rajurkar,et al.  Journal of Manufacturing Science and Engineering, Transactions of the ASME: Guest editorial , 2010 .

[41]  F. H. Samuel,et al.  Effects of Fe intermetallics on the machinability of heat-treated Al–(7–11)% Si alloys , 2010 .

[42]  J. Leopold,et al.  Modeling and Simulation of Burr Formation: State-of-the-Art and Future Trends , 2010 .

[43]  Victor Songmene,et al.  Milling burr size estimation using acoustic emission and cutting forces , 2011 .

[44]  Victor Songmene,et al.  BURR SIZE MINIMIZATION WHEN DRILLING 6061-T6 ALUMINUM ALLOY , 2012 .

[45]  Victor Songmene,et al.  Statistical investigation on burrs thickness during milling of 6061-T6 aluminium alloy , 2012 .

[46]  Victor Songmene,et al.  Burr formation during milling of wrought aluminum alloys , 2012 .

[47]  Victor Songmene,et al.  Analysys and Optimization of Exit Burr Size and Surface Roughness in Milling Using Desireability Function , 2012 .

[48]  Victor Songmene,et al.  Dry high-speed machining: a cost effective and green process , 2012, Int. J. Manuf. Res..

[49]  Victor Songmene,et al.  Global machinability of Al-Mg-Si extrusions , 2012 .

[50]  James Marrow,et al.  3D Studies of Indentation by Combined X-Ray Tomography and Digital Volume Correlation , 2013 .

[51]  Victor Songmene,et al.  Experimental investigation and modeling of milling burrs , 2013 .

[52]  Victor Songmene,et al.  A simple analytical model for burr type prediction in drilling of ductile materials , 2013 .

[53]  Victor Songmene,et al.  Simultaneous optimization of burrs size and surface finish when milling 6061-T6 aluminium alloy , 2013 .

[54]  Victor Songmene,et al.  Surface integrity of Al6061-T6 drilled in wet, semi-wet and dry conditions , 2013 .

[55]  Victor Songmene,et al.  Factors governing burr formation during high-speed slot milling of wrought aluminum alloys , 2013 .

[56]  Victor Songmene,et al.  Effects of lubrication modes on part quality during drilling 6061-T6 aluminium alloy , 2013 .

[57]  Victor Songmene,et al.  Modeling of burr thickness in milling of ductile materials , 2013 .

[58]  Seyed Ali Niknam,et al.  Burrs understanding, modeling and optimization during slot milling of aluminium alloys , 2013 .

[59]  Victor Songmene,et al.  Milling Burr Formation and Avoidance , 2014 .

[60]  Hans-Michael Beier,et al.  Praxisbuch Entgrattechnik: Wegweiser zur Gratminimierung und Gratbeseitigung für Konstruktion und Fertigung , 2015 .

[61]  Victor Songmene,et al.  Milling burr formation, modeling and control: A review , 2015 .