Articles | Volume 10, issue 1
https://doi.org/10.5194/ms-10-331-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.Designing optimal automatic cycles of round grinding based on the synthesis of digital twin technologies and dynamic programming method
Related subject area
Subject: Machining and Manufacturing Processes | Techniques and Approaches: CAD/CAE
Posture adjustment of workpiece based on stepwise matching by self-adaptive differential evolution algorithm
Mech. Sci., 9, 267–276,
2018Cited articles
Akintseva, A. V. and Pereverzev, P. P.: Prospects for the development
of the theory of designing optimal cycles of machining in a multidimensional
space of control parameters, EDP Sciences, 129, 01018, https://doi.org/10.1051/matecconf/201712901018, 2017.
Alagumurthi, N., Panairadja, K., and Soundararajan, V.: Optimization of
grinding process through design of experiment (DOE) – a comparative study,
Mater. Manuf. Proc., 21, 19–21, https://doi.org/10.1080/AMP-200060605, 2007.
Amitay, G., Malkin, S., and Koren, Y.: Adaptive control optimization of
grinding, J. Eng. Ind., 103, 103–108, 10.31399/asm.hb.v16.a0002175, 1989.
Bellman, R.: Dynamic programming, Foreign Literature Publishing House,
Moscow, Russia, 1960.
Bertsekas, D.: Dynamic programming and optimal control, Prentice Hall, Reading, New
Jersey, USA, 1995.