2016
DOI: 10.1007/s00170-016-9625-x
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Optimal structural design of a Biglide parallel drill grinder

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Cited by 15 publications
(7 citation statements)
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“…In this section, the stiffness modeling method for the Biglide parallel robot that considers both the compliance of all components and the gravity of moveable components is presented 16 19 , 26 , 27 . Each component is either a link/slidable platform or a 1-degree-of-freedom (dof) revolute joint/prismatic joint.…”
Section: Stiffness Modeling Procedures Of the Biglide Parallel Robotmentioning
confidence: 99%
“…In this section, the stiffness modeling method for the Biglide parallel robot that considers both the compliance of all components and the gravity of moveable components is presented 16 19 , 26 , 27 . Each component is either a link/slidable platform or a 1-degree-of-freedom (dof) revolute joint/prismatic joint.…”
Section: Stiffness Modeling Procedures Of the Biglide Parallel Robotmentioning
confidence: 99%
“…The four universal joints connected with the fixed platform are distributed at the four corners of the fixed platform. The coordinates of each universal joint Ui on the fixed platform in the fixed coordinate system can be described by Equation (5).…”
Section: Inverse Solution Analysis Of the Driving Branch (Ups)mentioning
confidence: 99%
“…Zhao Yongsheng [4] designed a 5-UPS (Universal joint + Prismatic pair + Spherical pair)/1-PRPS (Prismatic pair + Revolute pair + Prismatic pair + Spherical pair) 5-degrees-of-freedom parallel machine tool, the constraining branch of which is in the form of PRPS (Prismatic pair + Revolute pair + Prismatic pair + Spherical pair). The structure is relatively simple and can realize the corresponding constraint functions [5]. The driving branch is in the form of the commonly used UPS (Universal joint +Prismatic pair + Spherical pair).…”
Section: Introductionmentioning
confidence: 99%
“…The most commonly used intelligent optimization algorithms in engineering mainly include the genetic algorithm and particle swarm optimization. Wu et al [15,16] used a genetic algorithm to optimize the stiffness and dynamic performance of a space mechanism. Sun et al [17] used particle swarm optimization to optimize the stiffness performance of a spatial structure.…”
Section: Introductionmentioning
confidence: 99%