FENG, Hao ;DU, Qungui ;HUANG, Yuxian ;CHI, Yongbin . Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 63, n.7-8, p. 447-456, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/modeling-study-on-stiffness-characteristics-of-hydraulic-cylinder-under-multi-factors/>. Date accessed: 19 nov. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2017.4313.
Feng, H., Du, Q., Huang, Y., & Chi, Y. (2017). Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors. Strojniški vestnik - Journal of Mechanical Engineering, 63(7-8), 447-456. doi:http://dx.doi.org/10.5545/sv-jme.2017.4313
@article{sv-jmesv-jme.2017.4313,
author = {Hao Feng and Qungui Du and Yuxian Huang and Yongbin Chi},
title = {Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {63},
number = {7-8},
year = {2017},
keywords = {hydraulic cylinder stiffness; bulk modulus; air content in hydraulic oil; hydraulic system},
abstract = {For a complex mechanical system driven by hydraulic cylinders, the dynamic response characteristics of the mechanical system are significantly affected by the stiffness characteristics of hydraulic cylinders. This paper comprehensively studies the impacts of various factors on the stiffness characteristics of the hydraulic cylinders, including the oil bulk modulus, the air content in the hydraulic oil, the axial deformation of the piston rod, the volume expansion of the cylinder barrel, the volume expansion of the metal pipes and the flexible hoses, and the deformation of the hydraulic cylinder sealing. By combining the theoretical analysis and the experimental results, the level of each impacting factor was quantified, and the stiffness model of the hydraulic cylinder was established. Finally, comparative analysis of the stiffness was conducted by taking the experimental hydraulic cylinder as an example; it was verified that the calculated results of the proposed hydraulic cylinder stiffness model approximated the experimental results. Compared with stiffness models presented in current literature, the average accuracy was improved by more than 15 %.},
issn = {0039-2480}, pages = {447-456}, doi = {10.5545/sv-jme.2017.4313},
url = {https://www.sv-jme.eu/sl/article/modeling-study-on-stiffness-characteristics-of-hydraulic-cylinder-under-multi-factors/}
}
Feng, H.,Du, Q.,Huang, Y.,Chi, Y. 2017 June 63. Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 63:7-8
%A Feng, Hao %A Du, Qungui %A Huang, Yuxian %A Chi, Yongbin %D 2017 %T Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors %B 2017 %9 hydraulic cylinder stiffness; bulk modulus; air content in hydraulic oil; hydraulic system %! Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors %K hydraulic cylinder stiffness; bulk modulus; air content in hydraulic oil; hydraulic system %X For a complex mechanical system driven by hydraulic cylinders, the dynamic response characteristics of the mechanical system are significantly affected by the stiffness characteristics of hydraulic cylinders. This paper comprehensively studies the impacts of various factors on the stiffness characteristics of the hydraulic cylinders, including the oil bulk modulus, the air content in the hydraulic oil, the axial deformation of the piston rod, the volume expansion of the cylinder barrel, the volume expansion of the metal pipes and the flexible hoses, and the deformation of the hydraulic cylinder sealing. By combining the theoretical analysis and the experimental results, the level of each impacting factor was quantified, and the stiffness model of the hydraulic cylinder was established. Finally, comparative analysis of the stiffness was conducted by taking the experimental hydraulic cylinder as an example; it was verified that the calculated results of the proposed hydraulic cylinder stiffness model approximated the experimental results. Compared with stiffness models presented in current literature, the average accuracy was improved by more than 15 %. %U https://www.sv-jme.eu/sl/article/modeling-study-on-stiffness-characteristics-of-hydraulic-cylinder-under-multi-factors/ %0 Journal Article %R 10.5545/sv-jme.2017.4313 %& 447 %P 10 %J Strojniški vestnik - Journal of Mechanical Engineering %V 63 %N 7-8 %@ 0039-2480 %8 2018-06-27 %7 2018-06-27
Feng, Hao, Qungui Du, Yuxian Huang, & Yongbin Chi. "Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors." Strojniški vestnik - Journal of Mechanical Engineering [Online], 63.7-8 (2017): 447-456. Web. 19 Nov. 2024
TY - JOUR AU - Feng, Hao AU - Du, Qungui AU - Huang, Yuxian AU - Chi, Yongbin PY - 2017 TI - Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2017.4313 KW - hydraulic cylinder stiffness; bulk modulus; air content in hydraulic oil; hydraulic system N2 - For a complex mechanical system driven by hydraulic cylinders, the dynamic response characteristics of the mechanical system are significantly affected by the stiffness characteristics of hydraulic cylinders. This paper comprehensively studies the impacts of various factors on the stiffness characteristics of the hydraulic cylinders, including the oil bulk modulus, the air content in the hydraulic oil, the axial deformation of the piston rod, the volume expansion of the cylinder barrel, the volume expansion of the metal pipes and the flexible hoses, and the deformation of the hydraulic cylinder sealing. By combining the theoretical analysis and the experimental results, the level of each impacting factor was quantified, and the stiffness model of the hydraulic cylinder was established. Finally, comparative analysis of the stiffness was conducted by taking the experimental hydraulic cylinder as an example; it was verified that the calculated results of the proposed hydraulic cylinder stiffness model approximated the experimental results. Compared with stiffness models presented in current literature, the average accuracy was improved by more than 15 %. UR - https://www.sv-jme.eu/sl/article/modeling-study-on-stiffness-characteristics-of-hydraulic-cylinder-under-multi-factors/
@article{{sv-jme}{sv-jme.2017.4313},
author = {Feng, H., Du, Q., Huang, Y., Chi, Y.},
title = {Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {63},
number = {7-8},
year = {2017},
doi = {10.5545/sv-jme.2017.4313},
url = {https://www.sv-jme.eu/sl/article/modeling-study-on-stiffness-characteristics-of-hydraulic-cylinder-under-multi-factors/}
}
TY - JOUR AU - Feng, Hao AU - Du, Qungui AU - Huang, Yuxian AU - Chi, Yongbin PY - 2018/06/27 TI - Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 63, No 7-8 (2017): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2017.4313 KW - hydraulic cylinder stiffness, bulk modulus, air content in hydraulic oil, hydraulic system N2 - For a complex mechanical system driven by hydraulic cylinders, the dynamic response characteristics of the mechanical system are significantly affected by the stiffness characteristics of hydraulic cylinders. This paper comprehensively studies the impacts of various factors on the stiffness characteristics of the hydraulic cylinders, including the oil bulk modulus, the air content in the hydraulic oil, the axial deformation of the piston rod, the volume expansion of the cylinder barrel, the volume expansion of the metal pipes and the flexible hoses, and the deformation of the hydraulic cylinder sealing. By combining the theoretical analysis and the experimental results, the level of each impacting factor was quantified, and the stiffness model of the hydraulic cylinder was established. Finally, comparative analysis of the stiffness was conducted by taking the experimental hydraulic cylinder as an example; it was verified that the calculated results of the proposed hydraulic cylinder stiffness model approximated the experimental results. Compared with stiffness models presented in current literature, the average accuracy was improved by more than 15 %. UR - https://www.sv-jme.eu/sl/article/modeling-study-on-stiffness-characteristics-of-hydraulic-cylinder-under-multi-factors/
Feng, Hao, Du, Qungui, Huang, Yuxian, AND Chi, Yongbin. "Modeling Study on Stiffness Characteristics of Hydraulic Cylinder under Multi-Factors" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 63 Number 7-8 (27 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 63(2017)7-8, 447-456
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
For a complex mechanical system driven by hydraulic cylinders, the dynamic response characteristics of the mechanical system are significantly affected by the stiffness characteristics of hydraulic cylinders. This paper comprehensively studies the impacts of various factors on the stiffness characteristics of the hydraulic cylinders, including the oil bulk modulus, the air content in the hydraulic oil, the axial deformation of the piston rod, the volume expansion of the cylinder barrel, the volume expansion of the metal pipes and the flexible hoses, and the deformation of the hydraulic cylinder sealing. By combining the theoretical analysis and the experimental results, the level of each impacting factor was quantified, and the stiffness model of the hydraulic cylinder was established. Finally, comparative analysis of the stiffness was conducted by taking the experimental hydraulic cylinder as an example; it was verified that the calculated results of the proposed hydraulic cylinder stiffness model approximated the experimental results. Compared with stiffness models presented in current literature, the average accuracy was improved by more than 15 %.