Study on Surface Morphology of Vibration Assisted Cutting

Zheng, Yanping; Li, Jing; Jing, Dan; Gu, Yan

doi:10.1016/j.procir.2018.05.072

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…(2) Optimal Wavelet Selection and Number of Wavelet Decomposition Wavelet transform contains many wavelets basis functions, and the results of wavelet datum extraction using different wavelet functions are quite different [30]. Therefore, the selection of appropriate wavelet functions becomes a key point.…”

Section: ) Mathematical Model and Principlementioning

confidence: 99%

“…The extraction accuracy of wavelet datum is also related to the decomposition times of wavelet [30]. In this study, according to the energy conservation principle of wavelet decomposition and the characteristics of exponential change [31], the high-frequency energy under decomposition coefficients of each layer is fitted exponentially in order.…”

Section: ) Mathematical Model and Principlementioning

confidence: 99%

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Evaluation Method of Soil Surface Roughness after Ditching Operation Based on Wavelet Transform

Liu

Zhang

et al. 2022

Actuators

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Soil surface roughness (SSR) is an important parameter affecting surface hydrology, erosion, gas exchange and other processes. The surface roughness of the farmland environment is directly related to the tillage process. In order to accurately characterize the random roughness (RR) parameters of the surface after ditching, a three-dimensional (3D) digital model of the surface was obtained by laser scanning under the conditions of an indoor ditching test, and the influence of oriented roughness components formed by removing ridge characteristics on the RR of the surface was analyzed by introducing the wavelet processing method. For this reason, four groups of ditching depths and two types of surface conditions (whether the surface was agglomerated or not) were designed in this paper. By comparing the root mean squared height (RMSH) and correlation length (CL) data calculated before and after wavelet processing under each group of tests, it was concluded that the RMSH values of the four groups before and after wavelet processing all change more than 200%, the change amplitude reached 271.02% under the treatment of 12 cm ditching depth, meanwhile, the average CL value of five cross-sections under each group of ditching depths decreased by 1.43–2.28 times, which proves that the oriented roughness component formed by furrows and ridges has a significant influence on the calculation of RR. By further analyzing the roughness value differences of clods and pits in different directions and local areas before and after wavelet transform, it was shown that the wavelet transform can effectively remove the surface anisotropy characteristics formed in the tillage direction and provide a uniform treatment method for the evaluation of surface RR at different ditching depths.

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Section: ) Mathematical Model and Principlementioning

confidence: 99%

Section: ) Mathematical Model and Principlementioning

confidence: 99%

Evaluation Method of Soil Surface Roughness after Ditching Operation Based on Wavelet Transform

Liu

Zhang

et al. 2022

Actuators

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“…Ultrasonic-assisted cutting exceeds ordinary cutting methods in Ti alloy machining. Based on the principle of multiple contacts and separations between the cutter tool and the workpiece, scholars established an analysis model of ultrasonic-assisted milling (UAM) [4][5][6]; by comparing the effects of various technological parameters on the cutting force and surface morphology during the Ti alloy machining process using two methods, it was concluded that ultrasonic vibration cutting technology was superior to the traditional technique. Scholars worldwide have employed ultrasonic-assisted cutting methods to examine the surface integrity of difficult-to-process materials [7][8][9][10][11], which can provide a new approach for surface morphology investigations, such as surface roughness, texture, and frictional wear.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Processing Parameters and Surface Quality of TC18 via Ultrasonic-Assisted Milling (UAM): An Experimental Study

Xie

Wang

et al. 2023

Micromachines

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This study conducted longitudinal ultrasonic-assisted milling (UAM) tests and optimized a combination of milling technological parameters to achieve high-quality machining of TC18 titanium alloy. The motion paths of the cutter under the coupled superposition states of longitudinal ultrasonic vibration and end milling were analyzed. Based on the orthogonal test, the cutting forces, cutting temperatures, residual stresses, and surface topographical patterns of TC18 specimens under different UAM conditions (cutting speeds, feeds per tooth, cutting depths, and ultrasonic vibration amplitudes) were examined. The differences between ordinary milling and UAM in terms of machining performance were compared. Using UAM, numerous characteristics (including variable cutting thickness in the cutting area, variable cutting front angles of the tool, and the lifting of the cuttings by the tool) were optimized, reducing the average cutting force in all directions, lowering the cutting temperature, increasing the surface residual compressive stress, and significantly improving the surface morphology. Finally, fish scale bionic microtextures with clear, uniform, and regular patterns were formed on the machined surface. High-frequency vibration can improve material removal convenience, thus reducing surface roughness. The introduction of longitudinal ultrasonic vibration to the end milling process can overcome the limitations of traditional processing. The optimal combination of UAM parameters for titanium alloy machining was determined through the end milling orthogonal test with compound ultrasonic vibration, which significantly improved the surface quality of TC18 workpieces. This study provides insightful reference data for subsequent machining process optimization.

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Generation of uniform micro-textured structures by two-dimensional modulation fly-cutting

Cao,

Zhang,

Huang

et al. 2024

Journal of Manufacturing Processes

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Study on Surface Morphology of Vibration Assisted Cutting

Cited by 4 publications

References 12 publications

Evaluation Method of Soil Surface Roughness after Ditching Operation Based on Wavelet Transform

Evaluation Method of Soil Surface Roughness after Ditching Operation Based on Wavelet Transform

Optimizing Processing Parameters and Surface Quality of TC18 via Ultrasonic-Assisted Milling (UAM): An Experimental Study

Generation of uniform micro-textured structures by two-dimensional modulation fly-cutting

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