Towards Efficient Milling of Multi-Cavity Aeronautical Structural Parts Considering ACO-Based Optimal Tool Feed Position and Path

Xin, Yupeng; Li, Yuanheng; Li, Wenhui; Wang, Gangfeng

doi:10.3390/mi12010088

Cited by 12 publications

(3 citation statements)

References 24 publications

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“…Therefore, the nominal cutting parameters detailed as followed: spindle speed of 2160 rpm (revolutions per minute), feed rate of 800 mm/min, axial depth of 0.5 mm, and radial width of 0.6 mm. Then, the milling methods was selected as peripheral milling [43], the cutting trajectory of each layer was set as some concentric rounded square rings as shown in Fig. 4.…”

Section: Methodsmentioning

confidence: 99%

Tool condition monitoring for cavity milling based on bispectrum analysis and Bayesian optimized SVM

Li¹,

Wang

Hu³

et al. 2023

Preprint

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Tool wear status seriously affects the dimensional accuracy and surface quality of the machined parts. Therefore, tool condition monitoring (TCM) is essential in the milling process of aerospace structural parts due to the use of difficult-to-cut materials and complex cutting trajectories. The Higher order spectrum (HOS) was first employed to analyze the vibration signals, and then bispectral features extracted from de-noised signals were used to characterize the tool wear status. The improved Pearson’s correlation coefficient was used for feature selection to reduce the influence of periodic components on feature selection process. Furthermore, a novel objective function was proposed to guide the hyperparameters optimization process of support vector machine based on Bayesian optimization algorithm, in which the effect of imbalanced data on the recognition rates was considered. To demonstrate the effectiveness of the proposed method, a structural part milling experiment was performed on a vertical machining center and vibration signals of spindle were collected. Based on this, an online TCM model was established. The present study suggests that the proposed TCM system is accurate and robust.

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Section: Methodsmentioning

confidence: 99%

Tool condition monitoring for cavity milling based on bispectrum analysis and Bayesian optimized SVM

Li¹,

Wang

Hu³

et al. 2023

Preprint

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“…In this paper, the Ant cycle model is selected, which updates the pheromone concentration in the travel uniformly after all ants visit all the punching points. 27 The Ant cycle model outperforms the other two models: the Ant density model and Ant quantity model which update the pheromone concentration after moving one time between two punching points. 28…”

Section: Basic Principlesmentioning

confidence: 95%

Punching trajectory optimization method for warp-knitted vamp based on improved ant colony optimization algorithm and Radau pseudospectral method

Chi

Zhang

et al. 2021

Journal of Engineered Fibers and Fabrics

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Aiming at the problems of complex trajectory, low efficiency and high operational difficulty of the robot in multi-point punching of warp-knitted vamp, a method of optimizing punching trajectory based on improved ant colony optimization algorithm and Radau pseudospectral method is proposed. After obtaining the position coordinates of punching points, an improved ant colony optimization algorithm is used to calculate the punching sequence of the shortest path through all punching points, and then Radau pseudospectral method is used to solve the optimal trajectory of the laser punching robot. Improved ant colony optimization algorithm combines a distributed calculation method and the positive feedback mechanism. Radau pseudospectral method can transform the optimal control problems into nonlinear programming problems, and the combination of the two can quickly and reliably obtain the optimal solution. To verify the method, under the condition of selecting the same number and location of punching points, the experiments of Radau pseudospectral method to solve the trajectory planning of laser punching robot is carried out. The experimental results show that improved ant colony optimization algorithm can calculate the path of the vamp punching point in a shorter time and with high accuracy. Radau pseudospectral method can obtain smooth trajectories satisfying various constraints, which can meet the requirements of accuracy and efficiency in practical production.

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“…Using multi-tool combinations and automatic toolchanging technology on the same CNC can improve the machining e ciency of complex machining features [21,22]. Adequate methods of cutting tool combination were proposed to solve the practical machining problems, which mainly focuses on improving the machining e ciency, such as complex cavity [23], surface milling [24,25], and multigroove [26].…”

Section: Introductionmentioning

confidence: 99%

A comprehensive cutting tool adaptation method of multi-feature part based on evolutionary game

Huo,

Zhou,

Liu

et al. 2023

Preprint

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The adaptation of cutting tools is the key link of machining, although a lot of work has been done to achieve tool selection for single features, relatively little research on tool scheme adaptation for multi-feature parts as a whole. In order to take into account the factors of matching, efficiency, cost, manufacturability, and environment, a comprehensive optimization method of a multi-feature tool scheme is proposed in this work. Firstly, the critical tool of a complex feature is defined, and a tool combination method with complex single features is proposed to generate an efficient tool strategy. Secondly, a tool scheme optimization model of multi-feature parts is constructed, where each machining feature is mapped to a game player in the model space, and the set of available tools is mapped to the player strategies. In addition, the classical evolutionary game algorithm is improved to adapt to the model, according to the large difference in the number and type of features of parts. Finally, a square test piece is taken as an example to verify the proposed method, and the results show that the method presented in the paper can efficiently obtain the customer-preferred tool scheme.

show abstract

Towards Efficient Milling of Multi-Cavity Aeronautical Structural Parts Considering ACO-Based Optimal Tool Feed Position and Path

Cited by 12 publications

References 24 publications

Tool condition monitoring for cavity milling based on bispectrum analysis and Bayesian optimized SVM

Tool condition monitoring for cavity milling based on bispectrum analysis and Bayesian optimized SVM

Punching trajectory optimization method for warp-knitted vamp based on improved ant colony optimization algorithm and Radau pseudospectral method

A comprehensive cutting tool adaptation method of multi-feature part based on evolutionary game

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