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Optimization of a drilling sequence under MQL to minimize the thermal distortion of a complex aluminum part

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Abstract

The drilling process with solid carbide tools with minimum quantity lubrication is under development in the automotive industry due to its high productivity and its environmental benefit. Because of the poor cooling performance when using MQL, a high amount of heat remains in the workpiece, which induces macroscopic thermal distortions and inaccurate parts. This paper presents a methodology to model the thermal distortion of a complex part having a large number of holes. The heat flux entering into the workpiece during each drilling operation is calibrated based on embedded thermocouples and on geometrical observations of the drill surface. Finally, it is shown how the model enables the optimization of a drilling sequence so as to minimize the thermal distortion and the accuracy of the machined part.

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References

  1. Claudin C, Mondelin A, Rech J, Fromentin G (2010) Influence of a straight oil on friction at the tool-workmaterial interface in machining. Int J Mach Tools Manuf 50:188–681

    Article  Google Scholar 

  2. Courbon C, Sajn V, Kramar D, Rech J, Kosel F, Kopac J (2011) Investigation of machining performance in high pressure jet assisted turning of inconel 718: a numerical model. Int J Mater Process Technol 211(11):1834–1851

    Article  Google Scholar 

  3. Mayr J, Gebhardt M, Massow BB, Weiskert S, Wegener K (2014) Cutting fluid influence on thermal behavior of 5-axis machine tools. Procedia CIRP 14:395–400

    Article  Google Scholar 

  4. Boyer HF, Waremme J, Bourdiol JL, Delaunay D (2011) A study about energy consumption and cutting fluid used to clutch case machining. Mécanique Ind 12:389–393

    Article  Google Scholar 

  5. Braga DU, Diniz AE, Mirand GWA, Coppini NL (2002) Using a minimum quantity of lubricant (MQL) and diamond coated tool in the drilling of aluminum silicon alloy. J Mater Process Technol 122:127–138

    Article  Google Scholar 

  6. Itoigawa F, Childs THC, Nakamura T, Belluco W (2006) Effects and mechanisms in minimal quantity lubrication machining of an aluminum alloy. Wear 260:334–339

    Article  Google Scholar 

  7. Rahman M, Ahaman A, Senthil Kumar A, Salam MU (2002) Experimental evaluation on the effect of minimal quantities of lubricant in milling. Int J Mach Tools Manuf 42:539–547

    Article  Google Scholar 

  8. Sreetjith PS (2008) Machining of 6061 aluminium alloy with MQL, dry and flooded lubricant conditions. Mater Lett 62:276–278

    Article  Google Scholar 

  9. Biermann D, Iovkov I, Blum H, Rademacher A, Taebu K, Suttmeier FT, Klein N (2012) Thermal aspects in deep hole drilling of aluminum cast alloy using twist drills and MAL. Procedia CIRP 3:245–250

    Article  Google Scholar 

  10. Ganesh KC, Vasudevan M, Balasubramanian KR, Chandrasekhar N, Mahadevan S, Vasantharaja P, Jayakumar T (2014) Modeling, prediction and validation of thermal cycles, residual stresses and distortion in type 316 LN stainless steel weld joint made by TIG welding process. Procedia Eng 86:767–774

    Article  Google Scholar 

  11. Lingamanaik SN, Chen BK (2011) Thermo-mechanical modeling of residual stresses induced by martensitic phase transformation and cooling during quenching of railway wheels. J Mater Process Technol 211(9):1547–1552

    Article  Google Scholar 

  12. Jayanti S, Ren D, Erickson E, Usui S, Marusich T, Marisuch K, Elanvogan H (2013) Predictive modeling for tool deflection and part distortion of large machined components. Procedia CIRP 12:37–42

    Article  Google Scholar 

  13. Sukaylo VA, Kaldos A, Krukovsky G, Lierath F, Emmer T, Pieper HJ, Kundrak J, Bana V (2004) Development and verification of a computer model for thermal distortions in hard turning. J Mater Process Technol 155–15:1821–1827

    Article  Google Scholar 

  14. Klocke F, Lung D, Puls H (2013) FEM modeling of the thermal workpiece deformation in dry turning. Procedia CIRP 8:240–245

    Article  Google Scholar 

  15. Schindler S, Zimmermann M, Aurich JC, Steinmann P (2014) Thermo-elastic deformations of the workpiece when dry turning aluminum alloys—a finite element model to predict thermal effects in the workpiece. CIRP J Manufact Sci Technol 7:233–245

    Article  Google Scholar 

  16. Bono M, Ni J (2006) The location of the maximum temperature on the cutting edges of a drill. Int J Mach Tools Manuf 46:901–907

    Article  Google Scholar 

  17. Fleischer J, Pabst R, Kelemen S (2007) Heat flow simulation of dry machining of power train castings. Annals CIRP 56:117–122

    Article  Google Scholar 

  18. Battaglia JL, Kusiak A (2005) Estimation of heat fluxes during high-speed drilling. Int J Adv Manuf Technol 26:750–758

    Article  Google Scholar 

  19. Brandao LC, Coelho RT, Lauro CH (2011) Contribution to dynamic characteristics of the cutting temperature in the drilling process considering one dimension heat flow. Appl Therm Eng 31(17–18):3806–3813

    Article  Google Scholar 

  20. De Sousa OFB, Borges VL, Pereira IC, De Silva MB, Guimaraes G (2012) Estimation of heat flux and temperature field during drilling process using dynamic observes based on green’s function. Appl Therm Eng 48:144–154

    Article  Google Scholar 

  21. Faverjon P (2013) Etude de l’influence tribologique et thermique de la MQL en usinage d’alliage d’aluminium sur la qualité géométrique des pieces prismatiques produites sur centre d’usinage à grande vitesse. Dissertation, University of Lyon -ENISE, Saint-Étienne (France)

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Correspondence to Joël Rech.

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Faverjon, P., Rech, J., Valiorgue, F. et al. Optimization of a drilling sequence under MQL to minimize the thermal distortion of a complex aluminum part. Prod. Eng. Res. Devel. 9, 505–515 (2015). https://doi.org/10.1007/s11740-015-0614-y

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  • DOI: https://doi.org/10.1007/s11740-015-0614-y

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