Parameters Optimization for Machining Optical Parts of Difficult-To-cut Materials by Genetic Algorithm

Li, Y. C.; Zhou, Xiaoqin; Lu, Mingming; Lin, Jieqiong; Sun, Jianwei

doi:10.1080/10426914.2013.852218

Cited by 13 publications

(8 citation statements)

References 23 publications

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“…With the rapid development of new computer and information technologies, the applications of the optimization theories and methods have become more and more widely applicable in a large number of fields. Many of the latest developments depend on the improvement and innovation of numerical techniques for calculating optimization problems, and these methods have become popular research topics at home and abroad [3][4][5][6]. Therefore, the new optimization theory and method are studied, which not only have important theoretical significance, but also have wide application value.…”

Section: Introductionmentioning

confidence: 99%

Study on an Adaptive Co-Evolutionary ACO Algorithm for Complex Optimization Problems

2018

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The ant colony optimization (ACO) algorithm has the characteristics of positive feedback, essential parallelism, and global convergence, but it has the shortcomings of premature convergence and slow convergence speed. The co-evolutionary algorithm (CEA) emphasizes the existing interaction among different sub-populations, but it is overly formal, and does not form a very strict and unified definition. Therefore, a new adaptive co-evolutionary ant colony optimization (SCEACO) algorithm based on the complementary advantages and hybrid mechanism is proposed in this paper. Firstly, the pheromone update formula is improved and the pheromone range of the ACO algorithm is limited in order to achieve the adaptive update of the pheromone. The elitist strategy and co-evolutionary idea are used for reference, the symbiotic mechanism and hybrid mechanism are introduced to better utilize the advantages of the CEA and ACO. Then the multi-objective optimization problem is divided into several sub-problems, each sub-problem corresponds to one population. Each ant colony is divided into multiple sub-populations in a common search space, and each sub-population performs the search activity and pheromone updating strategy. The elitist strategy is used to retain the elitist individuals within the population and the min-max ant strategy is used to set pheromone concentration for each path. Next, the selection, crossover, and mutation operations of individuals are introduced to adaptively adjust the parameters and implement the information sharing of the population and the co-evolution. Finally, the gate assignment problem of a hub airport is selected to verify the optimization performance of the SCEACO algorithm. The experiment results show that the SCEACO algorithm can effectively solve the gate assignment problem of a hub airport and obtain the effective assignment result. The SCEACO algorithm improves the convergence speed, and enhances the local search ability and global search capability.

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Section: Introductionmentioning

confidence: 99%

Study on an Adaptive Co-Evolutionary ACO Algorithm for Complex Optimization Problems

2018

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“…The structure is convenient to process, and the driving force is controlled under a lower value. Li et al 13 and Lin et al 14 propose a non-resonant three-dimensional EVC equipment to achieve both a high surface quality and complex surface shape. Although researchers have developed a variety of three-dimensional EVC device, there is no system theory applied to design of the EVC structure.…”

Section: Introductionmentioning

confidence: 99%

A novel three-dimensional elliptical vibration cutting device based on the freedom and constraint topologies theory

Lin

Kong

Wang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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Aiming at the issue of the lack of the design theory for the three-dimensional elliptical vibration cutting device, a compliant mechanism with two rotations and one translation is synthesized based on the theory of freedom and constraint topologies. And a three-dimensional elliptical vibration cutting device is proposed on the basis of the compliant mechanism. The relationship between the critical speed and the length of the tool bar is analyzed. Simulation is conducted to analyze the influence of parameters on the output ellipse. Experiments are conducted to verify the validity of the elliptical vibration cutting device. The relationship between the roughness and the cutting speed is obtained. Experiments with different driving frequencies are conducted without the change of other parameters. Results show that the proposed compliant mechanism is feasible for the elliptical vibration cutting device. Compared with the common cutting, the new elliptical vibration cutting device has a better performance in the processing effect. This provides an important reference for design of the elliptical vibration cutting device.

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“…In ultra-precision machining, selecting the optimum cutting parameters plays a very important role to ensure product quality, increase productivity, reduce cost of production [5]. Therefore, many scholars consider the constraints in production, single process cutting, Franci [6] et al proposed different cutting parameter optimization model and solution methods.…”

Section: Introductionmentioning

confidence: 99%

Effect and Optimization of the Process Parameters on the Surface Morphology of the 3D Elliptical Vibration Cutting

Jing¹,

Li²,

Lin³

et al. 2017

dtcse

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Traditional cutting process reduce cutting force by increasing cutting speed and the sharpness of tip, and elliptical vibration cutting is a new cutting method, not only to overcome the shortcomings of traditional cutting process, but also can enhance the shape accuracy and system stability of the work piece, slow the wear of the tools. This article provide theoretical guidance for the actual processing by explaining the formation mechanism of surface morphology of elliptical vibration cutting, analysing cutting parameters which have significant impact on the morphology of elliptical vibration and optimizing the cutting parameters which highly effect the surface scallop height in elliptical vibration cutting 1 .

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Parameters Optimization for Machining Optical Parts of Difficult-To-cut Materials by Genetic Algorithm

Cited by 13 publications

References 23 publications

Study on an Adaptive Co-Evolutionary ACO Algorithm for Complex Optimization Problems

Study on an Adaptive Co-Evolutionary ACO Algorithm for Complex Optimization Problems

A novel three-dimensional elliptical vibration cutting device based on the freedom and constraint topologies theory

Effect and Optimization of the Process Parameters on the Surface Morphology of the 3D Elliptical Vibration Cutting

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