1999
DOI: 10.1115/1.1425393
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A New Optimization Method for Dynamic Design of Planar Linkage With Clearances at Joints—Optimizing the Mass Distribution of Links to Reduce the Change of Joint Forces

Abstract: This paper presents a new optimization method for dynamic design of planar linkage with clearances at joints. The general consideration is to optimize the mass distribution of links to reduce the change of joint forces. The mass, the center position of mass and the moment of inertia the moving links are taken as the optimizing variables. The objective functions are taken as the changes of the amplitude and direction of the joint forces and they are minimized. The optimized result shows that the magnitude of jo… Show more

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Cited by 54 publications
(27 citation statements)
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“…Also, the shaking moment decreases in proportion as 77.51%. The decreases of forces being obtained are bigger than that those in a Feng et al study [17]. …”
Section: Resultscontrasting
confidence: 40%
See 1 more Smart Citation
“…Also, the shaking moment decreases in proportion as 77.51%. The decreases of forces being obtained are bigger than that those in a Feng et al study [17]. …”
Section: Resultscontrasting
confidence: 40%
“…Also, a procedure was introduced to estimate the maximum contact force during impact. Feng et al analyzed the joint forces of planar linkage with joint clearance and presented a new optimization method which is based on optimizing mass distribution of links to decrease the change of joint forces [17]. A four-bar mechanism with joint clearances was employed as an example, and Lagrangian mechanics was used to derive the motion equation of model mechanism.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, Feng et al [21] developed an optimization method to control the change of inertia forces by optimizing the mass distribution of moving links in planar linkages with clearances at joints. Orden [22] presented a methodology for the study of typical smooth joint clearances in mechanical systems.…”
Section: Introductionmentioning
confidence: 99%
“…However, the genetic algorithm do not scale well with system complexity and computational cost increases dramatically for huge model functions. Feng et al [11] proposed a method to control the distribution of inertia forces by optimizing the mass distribution of a mechanism with joint clearance.…”
Section: Introductionmentioning
confidence: 99%