Back Chip Temperature in Environmentally Conscious Turning with Conventional and Internally Cooled Cutting Tools

Central to machining processes is the interaction between the tool insert and the chip of material removed from the blank. Chip-insert interaction occurs when the chip slides on the rake face of the insert. Heat is generated by the friction inherent to this sliding process. The temperature in the cutting zone of both the insert and the chip rises, usually facilitating adhesion, diffusion, and more complex chemical and physical phenomena between the insert and the chip. These effects accelerate the insert wear, ultimately undermining the tool life. Thus, a number of methods have been developed to control heat generation. Most typically, metal working fluids are conveyed onto the rake face in the cutting zone. However, this solution may be not ideal from the point of view of cost, the environment, and contamination of the part, which may be unacceptable, for example, in healthcare and optical applications. In this study, microfluidic structures internal to the insert are examined as a means of controlling the heat generation.Conventional and internallycooled tools were compared in dry turning of AA6082-T6 aluminum alloy in two 3 x 3 factorial experiments of different machining conditions. Statistical analyses support the conclusion that chip temperature depends only on the depth of cut,and not on the feed rate or cutting speed. They also show that the benefit of cooling the insert internally increases as the depth of cut increases. Therefore, internallycooled tools can be particularly advantageous in roughing operations.

[1]  Douglas M. Bates,et al.  LINEAR AND NONLINEAR MIXED-EFFECTS MODELS , 1998 .

[2]  J. Rozzi,et al.  The Experimental and Theoretical Evaluation of an Indirect Cooling System for Machining , 2011 .

[3]  Bhupinder Singh,et al.  Comparison of Cryo-treatment Effect on Machining Characteristics of Titanium in Electric Discharge Machining , 2011 .

[4]  Julian J. Faraway,et al.  Extending the Linear Model with R (Texts in Statistical Science) , 2005 .

[5]  Ismail Lazoglu,et al.  Analysis of thermal fields in orthogonal machining with infrared imaging , 2008 .

[6]  Julian J. Faraway,et al.  Extending the Linear Model with R , 2004 .

[7]  N. P. Jeffries,et al.  Thermal analysis of an internally-cooled metal-cutting tool , 1970 .

[8]  Takashi Ueda,et al.  On The Measurement of Temperature in Material Removal Processes , 2007 .

[9]  Yanming Quan,et al.  Cutting heat dissipation in high-speed machining of carbon steel based on the calorimetric method , 2008 .

[10]  M. Kamal,et al.  Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach , 2012 .

[11]  Frank W. Wilson,et al.  Fundamentals of tool design , 1962 .

[12]  M. RahmanM.,et al.  Finite Element Analysis of Hastelloy C-22HS in End Milling , 2011 .

[13]  Vicente Luiz Scalon,et al.  Cleaner Machining Through a Toolholder with Internal Cooling , 2011 .

[14]  J. R. Koehler,et al.  Modern Applied Statistics with S-Plus. , 1996 .

[15]  Michael J. Crawley,et al.  The R book , 2022 .

[16]  J. M. Longbottom,et al.  Cutting temperature measurement while machining – a review , 2005 .

[17]  John G. Nee Fundamentals of Tool Design , 2010 .

[18]  F. W. Taylor The Art of Cutting Metals , 1907 .

[19]  G. C. Barber,et al.  Effect of Internal Cooling on Tool-Chip Interface Temperature in Orthogonal Cutting , 2006 .

[20]  Berend Denkena,et al.  Advancing Cutting Technology , 2003 .

[21]  John W. Sutherland,et al.  Dry Machining and Minimum Quantity Lubrication , 2004 .

[22]  Yusuf Altintas,et al.  Prediction of tool and chip temperature in continuous and interrupted machining , 2002 .

[23]  I. Bernstein,et al.  Machine operator's lung. A hypersensitivity pneumonitis disorder associated with exposure to metalworking fluid aerosols. , 1995, Chest.

[24]  P. Sreejith,et al.  Dry machining: Machining of the future , 2000 .

[25]  Md. Abdul Maleque,et al.  Prediction of Surface Roughness of Ti-6Al-4V In Electrical Discharge Machining: A Regression Model , 2011 .

[26]  J. Tukey,et al.  Variations of Box Plots , 1978 .

[27]  M. RahmanM.,et al.  Investigation of Flow Behavior in Minimum Quantity Lubrication Nozzle for End Milling Processes , 2012 .

[28]  D. Bates,et al.  Mixed-Effects Models in S and S-PLUS , 2001 .

[29]  D. O’Sullivan,et al.  Temperature measurement in single point turning , 2001 .

[30]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[31]  Neal P. Jeffries INTERNAL COOLING OF METAL‐CUTTING TOOLS , 1972 .