2019
DOI: 10.1016/j.rcim.2019.04.008
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Static and dynamic optimization of a pose adjusting mechanism considering parameter changes during construction

Abstract: Year unknown!] Static and dynamic optimization of a pose adjusting mechanism considering parameter changes during construction [Journal name unknown!] Access to the published version may require subscription. N.B. When citing this work, cite the original published paper. Permanent link to this version:Abstract Having potentially high stiffness and good dynamic response, a parallel pose adjusting mechanism was proposed for being an attachment to a big serial robot of a macro-micro robotic system. This paper add… Show more

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Cited by 15 publications
(4 citation statements)
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“…Because of its light weight and high strength, long-span space steel structure has been widely used in airports, stadiums, bridges and other large public buildings [1][2][3][4][5]. Similar to the bridge structure, the long-span steel structure will bear various loads during the long construction process and undergo significant structural system transformation, showing dynamic changes in complex stress conditions [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…Because of its light weight and high strength, long-span space steel structure has been widely used in airports, stadiums, bridges and other large public buildings [1][2][3][4][5]. Similar to the bridge structure, the long-span steel structure will bear various loads during the long construction process and undergo significant structural system transformation, showing dynamic changes in complex stress conditions [6,7].…”
Section: Introductionmentioning
confidence: 99%
“…Wu et al [17] established the elastodynamic model of hybrid robots based on the substructure synthesis technology. Lian et al [18][19] investigated the natural frequency distribution in the workspace by elastodynamic modeling in terms of the FEM and substructure synthesis technology. Shankar et al [20] studied the first natural frequency of a 2-DOF translational parallel robot.…”
Section: Introductionmentioning
confidence: 99%
“…Lian et al. [1819] investigated the natural frequency distribution in the workspace by elastodynamic modeling in terms of the FEM and substructure synthesis technology. Shankar et al.…”
Section: Introductionmentioning
confidence: 99%
“…High computational costs greatly reduce the optimized design's computational efficiency. The response surface model (RSM), including a back-propagation (BP) neural network (Zhang and Gao, 2008;Gao et al, 2010), multivariate regression (Yang et al, 2022;Lian et al, 2019), and Gaussian regression (Vinh et al, 2019), is often used to fix this problem, wherein the BP neural network has attracted extensive attention due to its strong learning and nonlinear fitting capabilities. Therefore, the BP neural network model is adopted to establish the RSM of the GPIs and the design parameters in this work.…”
Section: Introductionmentioning
confidence: 99%