2022
DOI: 10.1177/09544062221124507
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Stiffness performance analysis of a 3-PRPS kinematically redundant parallel mechanism

Abstract: The stiffness performance of a spatial kinematically redundant parallel mechanism (KRPM) with three relative degree-of-freedom (RDOF) is analyzed. Firstly, the composition principle of the KRPM is introduced, the RDOF is analyzed, the kinematics model is established, and the overall Jacobian matrix is established based on the screw theory. Secondly, the workspace of the KRPM is drawn, and the theoretical stiffness model is established considering the internal restraint force and the external load. The stiffnes… Show more

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Cited by 4 publications
(2 citation statements)
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“…In order to compare the performance of different manipulators, study the behavior of the robot stiffness, and energy consumption, or perform the optimal design of link sizes and weight, a criterion is needed to index manipulators or a special posture. There are a variety of ways to define an index for robots stiffness, including the minimum and maximum eigenvalues, 47,48 ratio of the minimum and maximum eigenvalues, 45 determinant of the stiffness matrix 28,47 and other concepts like multi-objective genetic algorithm, 49 the Collinear Stiffness Value (CSV) 50 and volumetric isotropy index by considering intermediate eigenvalues. 5 Comparisons of indices related to eigenvalues and stiffness performance evaluation are presented in Carbone and Ceccarelli.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to compare the performance of different manipulators, study the behavior of the robot stiffness, and energy consumption, or perform the optimal design of link sizes and weight, a criterion is needed to index manipulators or a special posture. There are a variety of ways to define an index for robots stiffness, including the minimum and maximum eigenvalues, 47,48 ratio of the minimum and maximum eigenvalues, 45 determinant of the stiffness matrix 28,47 and other concepts like multi-objective genetic algorithm, 49 the Collinear Stiffness Value (CSV) 50 and volumetric isotropy index by considering intermediate eigenvalues. 5 Comparisons of indices related to eigenvalues and stiffness performance evaluation are presented in Carbone and Ceccarelli.…”
Section: Resultsmentioning
confidence: 99%
“…There are a variety of ways to define an index for robots stiffness, including the minimum and maximum eigenvalues, 47,48 ratio of the minimum and maximum eigenvalues, 45 determinant of the stiffness matrix 28,47 and other concepts like multi-objective genetic algorithm, 49 the Collinear Stiffness Value (CSV) 50 and volumetric isotropy index by considering intermediate eigenvalues. 5 Comparisons of indices related to eigenvalues and stiffness performance evaluation are presented in Carbone and Ceccarelli.…”
Section: Stiffness Indexingmentioning
confidence: 99%