Measuring curvature of trajectory traced by coupler of an optimal four-link spherical mechanism

Acar, Osman; Sağlam, Hacı; Şaka, Ziya

doi:10.1016/j.measurement.2021.109189

Cited by 13 publications

(2 citation statements)

References 42 publications

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“…The harmony search algorithm was inspired by the aesthetic estimation of musical sounds [42,43]. The algorithm evaluates and selects objective function depending on the parameters defined within a range by the operator; likewise, the aesthetic estimation is composed of a set of sounds from instruments played by an operator [44].…”

Section: Harmonic Artificial Bee Colony Algorithmmentioning

confidence: 99%

Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140

et al. 2021

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The present paper deals with the optimization of the three components of cutting forces and the Material Removal Rate (MRR) in the turning of AISI 5140 steel. The Harmonic Artificial Bee Colony Algorithm (H-ABC), which is an improved nature-inspired method, was compared with the Harmonic Bee Algorithm (HBA) and popular methods such as Taguchi’s S/N ratio and the Response Surface Methodology (RSM) in order to achieve the optimum parameters in machining applications. The experiments were performed under dry cutting conditions using three cutting speeds, three feed rates, and two depths of cuts. Quadratic regression equations were identified as the objective function for HBA to represent the relationship between the cutting parameters and responses, i.e., the cutting forces and MRR. According to the results, the RSM (72.1%) and H-ABC (64%) algorithms provide better composite desirability compared to the other techniques, namely Taguchi (43.4%) and HBA (47.2%). While the optimum parameters found by the H-ABC algorithm are better when considering cutting forces, RSM has a higher success rate for MRR. It is worth remarking that H-ABC provides an effective solution in comparison with the frequently used methods, which is promising for the optimization of the parameters in the turning of new-generation materials in the industry. There is a contradictory situation in maximizing the MRR and minimizing the cutting power simultaneously, because the affecting parameters have a reverse effect on these two response parameters. Comparing different types of methods provides a perspective in the selection of the optimum parameter design for industrial applications of the turning processes. This study stands as the first paper representing the comparative optimization approach for cutting forces and MRR.

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Section: Harmonic Artificial Bee Colony Algorithmmentioning

confidence: 99%

Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140

et al. 2021

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“…Clearly, picking pinecones should be similar to picking tomatoes, apples, and pears, and an appropriate mechanical gripper claw should be designed accordingly (Jiang et al 2021). Osman Acar designed a four-link spherical mechanism to drive the gripper by a new method of measuring the curvature of the fingertip trajectory (Acar et al 2021a). This gripper either compresses the object or wraps around an object when gripping it, with a high success rate of gripping (Acar et al 2021b).…”

Section: Introductionmentioning

confidence: 99%

Frictional properties of red pine cones harvested under different conditions

Ren,

Teng,

Gao

et al. 2023

BioRes

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The climbing of trees to pick pinecones is a high-risk exercise. In this study, a mechanical gripper jaw was designed. Frictional characteristics between the pinecones and the mechanical gripper jaw during pinecone picking under different conditions were investigated using a workbench simulation, homemade inclined friction meter, and mass tester. Three-level orthogonal and one-factor tests were conducted. The relationship between the water content and friction properties and between the water content and hardness were investigated, and conclusions were drawn on how water content affected friction properties by influencing hardness. The results showed that the contact material greatly affected the friction properties. The pinecone water content was maintained between 24% and 28% to ensure that the coefficient of friction was maximized and that the pinecones were sufficiently hard to dislodge. Additionally, a prototype machine was used to perform pinecone-gripping experiments to validate the experimental and simulation results. Consequently, the results of this study provide a useful reference for the structural design of pinecone picking robots and the picking reason.

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