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https://doi.org/10.21278/TOF.444011819

Contact Stress Prediction Model for Variable Hyperbolic Circular Arc Gear Based on the Optimized Kriging-Response Surface Model

Zhang Qi ; Chengdu Industrial Vocational Technical College, Chengdu, China; Panzhihua University, Panzhihua, China
Wen Guang ; Chengdu Industrial Vocational Technical College, Chengdu, China
Luo Lan ; Sichuan University, Chengdu, China
Tang Rui ; Civil Aviation Flight University of China, Guanghan City, Sichuan Province, China

Puni tekst: engleski, pdf (1 MB) str. 59-74 preuzimanja: 148* citiraj
APA 6th Edition
Qi, Z., Guang, W., Lan, L. i Rui, T. (2020). Contact Stress Prediction Model for Variable Hyperbolic Circular Arc Gear Based on the Optimized Kriging-Response Surface Model. Transactions of FAMENA, 44 (4), 59-74. https://doi.org/10.21278/TOF.444011819
MLA 8th Edition
Qi, Zhang, et al. "Contact Stress Prediction Model for Variable Hyperbolic Circular Arc Gear Based on the Optimized Kriging-Response Surface Model." Transactions of FAMENA, vol. 44, br. 4, 2020, str. 59-74. https://doi.org/10.21278/TOF.444011819. Citirano 16.04.2021.
Chicago 17th Edition
Qi, Zhang, Wen Guang, Luo Lan i Tang Rui. "Contact Stress Prediction Model for Variable Hyperbolic Circular Arc Gear Based on the Optimized Kriging-Response Surface Model." Transactions of FAMENA 44, br. 4 (2020): 59-74. https://doi.org/10.21278/TOF.444011819
Harvard
Qi, Z., et al. (2020). 'Contact Stress Prediction Model for Variable Hyperbolic Circular Arc Gear Based on the Optimized Kriging-Response Surface Model', Transactions of FAMENA, 44(4), str. 59-74. https://doi.org/10.21278/TOF.444011819
Vancouver
Qi Z, Guang W, Lan L, Rui T. Contact Stress Prediction Model for Variable Hyperbolic Circular Arc Gear Based on the Optimized Kriging-Response Surface Model. Transactions of FAMENA [Internet]. 2020 [pristupljeno 16.04.2021.];44(4):59-74. https://doi.org/10.21278/TOF.444011819
IEEE
Z. Qi, W. Guang, L. Lan i T. Rui, "Contact Stress Prediction Model for Variable Hyperbolic Circular Arc Gear Based on the Optimized Kriging-Response Surface Model", Transactions of FAMENA, vol.44, br. 4, str. 59-74, 2020. [Online]. https://doi.org/10.21278/TOF.444011819

Sažetak
In order to study the influence of design parameters (pressure angle, tooth width, tooth line radius, modulus, and moment) on contact stress of variable hyperbolic circular arc gear (VHCAG) and to obtain the best manufacturing parameters, The Kriging-Response Surface Model, a hybrid surrogate model with adaptive quantum particle swarm optimization (QPSO) algorithm was proposed to establish the expression prediction model for the relation between design parameters and contact stress. An intelligent quantum particle swarm optimization algorithm based on adaptive weight and natural selection is proposed to optimize the parameters of Gaussian variation function of the kriging surrogate model to improve its fitting accuracy. The global search ability of quantum particles is improved, and the accuracy and stability of the algorithm are improved by adjusting the weight of quantum particles adaptively and by optimizing the elimination iteration process, and the response relationship between design parameters and contact stress was established. The binomial response surface model of gear design parameters and contact stress is established based on the output obtained through the improved kriging model; this simplifies the complex expression of the kriging model. The effects of parameters and their cross-terms on contact stress are analysed based on the contact stress prediction model established by using the optimized Kriging-Response Surface Model hybrid surrogate model. The hybrid Kriging-Response Surface Model surrogate model lays a foundation for the research on the reliability and robust optimization of cylindrical gears with variable hyperbolic arc tooth profile.

Ključne riječi
contact stress; design parameters; Latin square sampling method; prediction model; hybrid surrogate model; parametric impact analysis

Hrčak ID: 248756

URI
https://hrcak.srce.hr/248756

Posjeta: 234 *