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The contactless measuring of the dimensional attrition of the cutting tool and roughness of machined surface

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Abstract

Quality is the main objective of production and includes all attributes of the manufactured product. The quality is understood as a summary (measurable quantities and characteristics) of the product determining its capability to meet the needs, fulfil functions, and have a utility effect. An important technological element is the control of cutting tools during production and use in the production process. Control and scanning attrition of the cutting tool has a double benefit. On the one hand, the shape, dimensions, and micro-geometry of functional surfaces is controlled and on the other hand, the condition of the functional surfaces that are relevant to functional requirements is checked. Therefore, it is logically concluded that the attrition is an undesirable change of the surface or dimensions of the solids which must be constantly controlled to achieve the desired quality of production. The article describes the design of devices for contactless attrition measuring of the cutting tool and roughness of the machined surface using an optical sensor. The proposed device can reduce the costs of production control and improve the quality of production using universal lathe machines.

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References

  1. Zhou JM, Andersson M, Stahl JE (1995) A system for monitoring cutting tool spontaneous failure based on stress estimation. J Mat Proc Technol 48:231–237

    Article  Google Scholar 

  2. Oraby SE (1995) Monitoring of turning operations via force signals”, part 1: recognition of different tool failure forms by spectral analysis. WEAR 184:133–143

    Article  Google Scholar 

  3. Ventura CEH, Hassui A (2013) Modeling of cutting forces in helical milling by analysis of tool contact angle and respective depths of cut. Int J Adv Manuf Technol 68:2311–2319

    Article  Google Scholar 

  4. Bannett JM (1985) Comparison of techniques for measuring the roughness of optical surfaces. Opt Eng 24(3):380–387

    Google Scholar 

  5. Lukaszewski K, Rozniakowski K, Wojtatowicz TW (2001) Laser examination of cast surface roughness. Opt Eng 40(9):1993–1997

    Article  Google Scholar 

  6. Blessinq GV, Slotwinski JA, Eitzen DG, Ryan HM (1993) Ultrasonic measurements of surface roughness. Opt Appl 32(19):3433–3437

    Article  Google Scholar 

  7. Narukati N, Yamane Y (1979) Tool wear and cutting temperature of CBN tools in machining of hardened steels. Annals of the CIRP 28(1):23–28

    Google Scholar 

  8. Gunawan PS, Muslim M, Hamdi M, Kimiyuki M (2011) Effect of low-frequency vibration on workpiece in EDM processes. Int J Mech Scie Technol 25(5):1231–1234

    Article  Google Scholar 

  9. Endo T, Tsujimoto T, Mitsui K (2008) Study of vibrationassisted micro-EDM – the effect of vibration on machining time and stability of discharge. Precis Eng 32(4):269–277

    Article  Google Scholar 

  10. Kreheľ R, Pollák M (2015) “The sliding mechanism for the correction of position of the cutting tool,” Journal of National Office of Industrial Property (NOIP) SR, Utility Model no. 50062–2015

  11. Kreheľ R, Pollák M (2015) “The device for contactless attrition measuring of the cutting tool,” Journal of National Office of Industrial Property (NOIP) SR no. 112015, Utility Model no. 50023–2015

  12. Vishay, Directive 2011/65/EU. “Silicon NPN Phototransistor BPW96B, BPW96C”. http://www.alldatasheet.com/datasheet-pdf/pdf/26264/VISHAY/BPW96B.html

  13. Hasçalık A, Çaydaş U (2008) Optimization of turning parameters for surface roughness and tool life based on the Taguchi method. Int J Adv Manuf Technol 9–10:896–903

    Article  Google Scholar 

  14. Tamizharasan T, Selvaraj T, Noorul Haq A (2006) Analysis of tool wear and surface finish in hard turning. Int J Adv Manuf Technol 28:671–679

    Article  Google Scholar 

  15. Quiza R, Figueira L, Davim JP (2008) Comparing statistical models and artificial neural networks on predicting the tool wear in hard machining D2 AISI steel. Int J Adv Manuf Technol 37(7–8):641–648

    Article  Google Scholar 

  16. Siddhpura A, Paurobally R (2013) A review of flank wear prediction methods for tool condition monitoring in a turning process. Int J Adv Manuf Technol 65:371–393

    Article  Google Scholar 

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Correspondence to Radoslav Krehel’.

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Krehel’, R., Pollák, M. The contactless measuring of the dimensional attrition of the cutting tool and roughness of machined surface. Int J Adv Manuf Technol 86, 437–449 (2016). https://doi.org/10.1007/s00170-015-8197-5

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  • DOI: https://doi.org/10.1007/s00170-015-8197-5

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