Optimal synthesis of a four-bar linkage for path generation using adaptive PSO

Eqra, Navid; Abiri, Amir Hossein; Vatankhah, Ramin

doi:10.1007/s40430-018-1392-1

Cited by 26 publications

(14 citation statements)

References 28 publications

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“…The problem is formulated as a constraint optimization problem, and adaptive inertia weight particle swarm optimization (AIW-PSO) is selected as the solution technique after a comparison with PSO and genetic algorithm (GA). As investigated by Eqra et al [16], this algorithm performs totally well in dimensional synthesis. The proposed method can be employed in designing graspers based on desirable number of four-bar linkages which can contain circular objects of desirable sizes.…”

Section: Introductionmentioning

confidence: 89%

Optimal kinematic design of a single-DOF planar grasper based on metaheuristic optimization

Eqra

Taghvaei

Vatankhah

2019

J Braz. Soc. Mech. Sci. Eng.

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A method is proposed for optimal synthesis of a grasper mechanism for circular objects. A single-DOF linkage-type grasper is developed considering the geometry of the target objects. The mechanism consists of successive coupled four-bar linkages and is capable of grasping circular objects with desirable range of diameter. The synthesis problem is formulated as a constraint optimization problem, while adaptive inertia weight particle swarm optimization (AIW-PSO) approach is used to carry out the solutions. Biomechanical and industrial applications for the mechanism are suggested and investigated by simulations as case studies. To demonstrate the effectiveness of AIW-PSO on the problem, a comparison with two other well-known metaheuristic algorithms namely PSO and genetic algorithm is done. The results show the efficiency of the proposed algorithm and the performance of the mechanism.

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Section: Introductionmentioning

confidence: 89%

Optimal kinematic design of a single-DOF planar grasper based on metaheuristic optimization

Eqra

Taghvaei

Vatankhah

2019

J Braz. Soc. Mech. Sci. Eng.

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“…Desirability graph approach coupled with user's preference method is applied by Harmesh et al [22] for multi-response optimization of SR, cutting speed and spark gap in WEDM of Al/SiCp-MMC. In another research work, authors have applied adaptive inertia weight PSO [23] for optimal path generation of a four bar link. Among different kinds of MMCs, aluminum-matrix composites having SiC p reinforcement are popularly investigated.…”

Section: Review Of Literaturementioning

confidence: 99%

Fuzzy logic-integrated PSO methodology for parameters optimization in end milling of Al/SiCp MMC

Devarajaiah

Chandrasekaran

2019

J Braz. Soc. Mech. Sci. Eng.

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This paper deals with a novel integrated parametric optimization in end milling of Al-SiC p metal-matrix composites using carbide tool. Fuzzy logic modeling combined with particle swarm optimization (PSO) technique is applied as intelligent optimization methodology to obtain optimal process parameters in end milling process. Fuzzy rules-based surface roughness prediction model is developed with SiC p percentage as one the input parameter is addition to spindle speed, feed and depth of cut. Comparison of fuzzy rule model predictions with confirmation data sets showed 95.44% average prediction accuracy. The effect of process parameters on surface roughness is also studied. Analysis of variance established feed rate as the most significant process variable with 69.93% contribution followed by SiC p (19%) and spindle speed (9.73%), respectively. The integrated PSO optimizer optimizes the process parameters for an objective to minimize the machining time satisfying desired surface roughness to be obtained. A number of problems with different values of desired surface roughness are solved and algorithm converged in less than ten iterations.

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“…Genetic algorithms (GA) have been used to mechanism optimal synthesis (Khorshidi et al 2011). Moreover, the particle swarm optimization (PSO) has been used in mechanisms synthesis (Eqra, Abiri andVatankhah 2018, Syed et al 2021). Differential evolution (DE) and simulated annealing (SA) have been used in the design optimization of four bar linkage with and without clearances (CHEN and ZHU 2009, Lin 2010, Naresh 2019.…”

Section: Introductionmentioning

confidence: 99%

Defect free optimization of a polycentric prosthetic knee design using imperialist competition-inspired optimization method

Nejlaoui

Alateyah²,

El-Garaihy³

2021

JER is an international, peer-reviewed journal that publishes f

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The disability of lower limbs is one of the major problems facing human lives. In order to restore the missing functionality and aesthetic feature of the amputee's locomotion, finding the optimal design of the human lower limb knee prosthesis is crucial. This paper focuses the design optimization of a four bar knee mechanism capable to reproduce the complex flexion/extension knee joint motion in the sagittal plane with variable instantaneous center of rotation positions. Thus an optimization approach with appropriate constraints is formulated in order to consider the degree of compatibility between the instantaneous center of rotation trajectories of the human reference knee joint and the four bar knee mechanism. To solve this high nonlinear optimization problem, an algorithm based on multi-objective modified imperialist competitive method is proposed where all the constraints are managed with the penalty method. The results obtained by the multi-objective modified imperialist competitive method showed the capability to reach a small tracking error. The obtained results prove the effectiveness of the proposed optimization approach for the optimal synthesis of the four bar knee mechanism, compared with other literature techniques.

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Optimal synthesis of a four-bar linkage for path generation using adaptive PSO

Cited by 26 publications

References 28 publications

Optimal kinematic design of a single-DOF planar grasper based on metaheuristic optimization

Optimal kinematic design of a single-DOF planar grasper based on metaheuristic optimization

Fuzzy logic-integrated PSO methodology for parameters optimization in end milling of Al/SiCp MMC

Defect free optimization of a polycentric prosthetic knee design using imperialist competition-inspired optimization method

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