Abstract
Gear hobbing technology is one of the most widely used forming processes of gear teeth. And the development of dry hobbing technology provides a solution for realizing productive, economical, and ecological gear production. Since there is no cutting oil for cooling and lubrication in dry hobbing process, the hob tool life, thermal deformation errors of machine tool, and quality of workpiece are sensitive to the cutting parameters, especially the cutting speed and tip chip thickness. Considering this situation, a dry hobbing parameters optimization model with the hobbing efficiency as our objective, and the hobbing cost per piece, gear quality, tact time as constraints was established, in which the cutting speed and tip chip thickness were considered as optimal variables and the material of workpiece, coating of hob, and feed rate were considered comprehensively. An iterative test method is proposed to solve this model. And for the application in automated production line, an online adaptive application system was also developed based on SINUMERIK 840D NC system. The parameters of five different kinds of material gear were optimized by applying this model and system, and the result showed the model and the system were practical.
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References
K. Gupta, R. F. Laubscher, J. P. Davim and N. K. Jain, Recent developments in sustainable manufacturing of gears: A review, J. of Cleaner Production, 112 (2016) 3320–3330.
F. Pusavec, P. Krajnik and J. Kopac, Transitioning to sustainable production–Part I: application on machining technologies, J. of Cleaner Production, 18 (2) (2010) 174–184.
B. Karpuschewski, H. J. Knoche, M. Hipke and M. Beutner, High Performance gear hobbing with powder-metallurgical high-speed-steel, Procedia CIRP, 1 (2012) 196–201.
A. Kubo, H. Qiu and H. Matsuoka, Cutting performance of coated high speed steel hobs in dry hobbing, Advanced Materials Research (2014) 1077.
L. Li, F. Liu, B. Chen and C. B. Li, Multi-objective optimization of cutting parameters in sculptured parts machining based on neural network, J. of Intelligent Manufacturing, 26 (5) (2015) 891–898.
J. Yan and L. Li, Multi-objective optimization of milling parameters–the trade-offs between energy, production rate and cutting quality, J. of Cleaner Production, 52 (2013) 462–471.
X. Dong, C. Liao, Y. C. Shin and H. H. Zhang, Machinability improvement of gear hobbing via process simulation and tool wear predictions, The International J. of Advanced Manufacturing Technology (2016) 1–9.
Y. Chen, H. Cao, X. Li, P. Chen and Q. Huang, Study on modeling and experiment of thermal deformation error for high-speed dry hobbing machine, Chinese J. of Mechanical Engineering, 49 (7) (2013) 36–42.
Y. Chen, H. Cao, X. Li and P. Chen, The model of spatial forming with multi-cutting-edge for cylindrical gear hobbing and its application, Chinese J. of Mechanical Engineering, 9 (2016) 176–183.
I. Kadashevich et al., A novel simulation approach to determine thermally induced geometric deviations in dry gear hobbing, Procedia Cirp, 31 (2015) 483–488.
F. Klocke, C. Brecher, C. Löpenhaus and M. Krömer, Calculating the workpiece quality using a hobbing simulation, Procedia CIRP, 41 (2016) 687–691.
H. Cao, L. Zhu, X. Li, P. Chen and Y. Chen, Thermal error compensation of dry hobbing machine tool considering workpiece thermal deformation, The International J. of Advanced Manufacturing Technology (2016) 1–13.
W. D. Cao, C. P. Yan, L. Ding and Y. F. Ma, A continuous optimization decision making of process parameters in highspeed gear hobbing using IBPNN/DE algorithm, The International J. of Advanced Manufacturing Technology (2015) 1-11.
X. Cui, B. Zhao, F. Jiao and J. Zheng, Chip formation and its effects on cutting force, tool temperature, tool stress, and cutting edge wear in high-and ultra-high-speed milling, The International J. of Advanced Manufacturing Technology, 83 (1-4) (2016) 55–65.
C. Brecher, M. Brumm and M. Krömer, Design of gear hobbing processes using simulations and empirical data, Procedia CIRP, 33 (2015) 485–490.
Z. T. Richards and M. Beger, Gear hobbing–research activities and state of the art, Advanced Materials Research, 1018 (8) (2014) 3–12.
D. Sari, F. Klocke and C. Löpenhaus, Gear finish hobbing: potentials of several cutting materials, Production Engineering, 9 (3) (2015) 367–376.
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Recommended by Associate Editor Hyung Wook Park
Huajun Cao is a Professor at Chongqing University, China. His main research direction is green manufacturing and remanufacturing, gear precision manufacturing process.
Ying Zhang of Chongqing University, China has main research direction in high-speed dry gear cutting process.
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Zhang, Y., Cao, H., Chen, P. et al. An adaptive parameter optimization model and system for sustainable gear dry hobbing in batch production. J Mech Sci Technol 31, 2951–2960 (2017). https://doi.org/10.1007/s12206-017-0538-x
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DOI: https://doi.org/10.1007/s12206-017-0538-x