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Optimal machining cycles for numerically controlled metal-cutting machines

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Abstract

The design of optimal automatic machining cycles for numerically controlled metal-cutting machines is considered, in theoretical terms. Dynamic programming permits the optimization of an unlimited number of control parameters for all the machining operations in numerically controlled metal-cutting machines.

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References

  1. Pereverzev, P.P., Theory and method for calculation of the optimum cycles of processing of the parts on cylindrical grinding machines with automated control, Doctoral (Tech.) Dissertation, Chelyabinsk, 1999.

    Google Scholar 

  2. Pereverzev, P.P. and Pimenov, D.Yu., A grinding force model allowing for dulling of abrasive wheel cutting grains in plunge cylindrical grinding, J. Frict. Wear, 2016, vol. 37, no. 1, pp. 60–65.

    Article  Google Scholar 

  3. Pereverzev, P.P. and Popova, A.V., Analytical modeling of the relationship the cutting force at internal grinding with the basic technological factors, Metalloobrabotka, 2013, no. 3, pp. 24–30.

    Google Scholar 

  4. Pereverzev, P.P. and Akintseva, A.V., Modeling of metal removal during an internal grinding in view of kinematics cutting features, Russ. Eng. Res., 2016, vol. 36, no. 10, pp. 888–893.

    Article  Google Scholar 

  5. Pereverzev, P.P., Modeling of technological limits in the optimization of automatic grinding cycles, Vestn. Yuzh.-Ural. Gos. Univ., Ser.: Mashinostr., 2012, no. 12 (271), pp. 165–168.

    Google Scholar 

  6. Pereverzev, P.P., Modeling and optimization of operating programs in the automated machine-building manufacture, Vestn. Yuzh.-Ural. Gos. Univ., Ser.: Mashinostr., 2012, no. 12 (271), pp. 152–157.

    Google Scholar 

  7. Pereverzev, P.P. and Akintseva, A.V., Model of formation of processing errors intragrinding, Russ. Eng. Res., 2016, vol. 36, no. 12, pp. 1048–1053.

    Article  Google Scholar 

  8. Pereverzev, P.P. and Akintseva, A.V., Modeling of limits by the accuracy of treatment in the engineering of optimal cycles of internal grinding, Vestn. Yuzh.-Ural. Gos. Univ., Ser.: Mashinostr., 2016, no. 2, pp. 61–71.

    Google Scholar 

  9. Bellman, R., Dynamic Programming, Princeton, NJ: Princeton Univ. Press, 1957.

    MATH  Google Scholar 

  10. Pereverzev, P.P. and Akintseva, A.V., The facts and problems in engineering of optimal cycles for CNC metal cutting machines, Stanki Instrum., 2017, (in press).

    Google Scholar 

  11. Obshchemashinostroitel’nye normativy vremeni i rezhimov rezaniya dlya rabot, vypolyaemykh na universal’nykh i mnogotselevykh stankakh s chislovym programmnym upravleniem. Chast’ 2. Normativy rezhimov rezaniya (General Machine Engineering Standards of Time and Cutting Modes for Operations Performed on Universal and Multipurpose CNS Machines, Part 2: Standards of Cutting Regimes), Moscow: Ekonomika, 1990.

  12. Obshchemashinostroitel’nye normativy rezhimov rezaniya dlya tekhnicheskogo normirovaniya rabot na metallorezhushchikh stankakh. Chast’ 3. Protyazhnye, shlifoval’nye i dovodochnye stanki (General Machine engineering Standards of Cutting Regimes for Technical Standardization of Operations on Metal Cutting Machines, Part 3: Broaching, Grinding, and Finishing Machines), Moscow: Mashinostroenie, 1978.

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Correspondence to P. P. Pereverzev.

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Original Russian Text © P.P. Pereverzev, A.V. Akintseva, 2017, published in STIN, 2017, No. 2, pp. 13–18.

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Pereverzev, P.P., Akintseva, A.V. Optimal machining cycles for numerically controlled metal-cutting machines. Russ. Engin. Res. 37, 617–621 (2017). https://doi.org/10.3103/S1068798X17070206

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  • DOI: https://doi.org/10.3103/S1068798X17070206

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