Multi-objective optimization of surface morphology using fractal and multi-fractal analysis for dry milling of AISI 4340

Li, Yuan; Zheng, Guangming; Chen, Yun; Hou, Liang; Ye, Chao; Chen, Shuyuan; Huang, Xiaomei

doi:10.1016/j.measurement.2023.113574

Cited by 4 publications

(2 citation statements)

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Section: Proposed Methods To Determine the Fractal Dimensionmentioning

confidence: 99%

“…According to Shen et al [28], the Bartlett and Welch methods are the most precise, and that is why the latter (Welch) has been selected. -For each profile, the slope (β) is calculated on a log-log scale of the fit line for the power spectral density data [29], as shown in Figure 8 for the roughness profile in Figure 7. -The slopes are calculated for all surface roughness profiles in the study area of interest from nrow = 1 to nrow (as in the case of Figure 5), and the value of the Hurst coefficient (H) is calculated, with 0 ≤ H ≤ 1 [27], from Equation (1).…”

Section: Proposed Methods To Determine the Fractal Dimensionmentioning

confidence: 99%

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Wear of Abrasive Tools during CMC Machining

Girot Mata,

Renderos Cartagena,

Alonso Pinillos

et al. 2023

Machines

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Machining CMCs under productivity conditions while limiting tool wear and material damage is a challenge for applications such as jet aircraft engines and industrial turbines. This contribution focused on developing a method to characterize the wear of abrasive tools based on fractal dimensions. This solution allows characterization of the state of the tool after each machining and identification of the type of damage to the tool (regular wear of the diamond grains, cleavage, or breakage) and its influence on the cutting forces, in addition to damage to the machined material and the quality of the machined surface. Thus, the chipped area and the maximum chipping are directly associated with the fractal dimension of the tool surface and the metal removal rate of the process. The quality of the surface (Sa, Sz, and Sq) is associated with the fractal dimension of the surface of the tool characterizing the state of the grinding wheel and the radial depth of cut ae characterizing the engagement of the tool in the CMC material. Moreover, the results also demonstrated that the use of an abrasive tool associated with cutting conditions close to milling and not grinding is a viable solution.

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Section: Proposed Methods To Determine the Fractal Dimensionmentioning

confidence: 99%