Interference- and chatter-free cutter posture optimization towards minimal surface roughness in five-axis machining

Zhao, Zengya; Wang, Sibao; Wang, Zehua; Liu, Ning; Wang, Shilong; Ma, Chi; Yang, Bo

doi:10.1016/j.ijmecsci.2019.105395

Cited by 35 publications

(10 citation statements)

References 36 publications

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“…This is probably caused due to limited stiffness in different directions. As revealed in [9,13], limited stiffness may influence the actual feed per tooth (i.e., in Eq. 1), thus leading to varied uncut chip thickness.…”

Section: Practical Modelling Of Anisotropic Energy Consumptionmentioning

confidence: 99%

An Experimental Investigation into Anisotropic Energy Efficiency of Milling Process

Liu¹,

Liu²,

Shi³

et al. 2022

Asian Society for Precision Engineering and Nanotechnology (ASPEN 2022)

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Section: Practical Modelling Of Anisotropic Energy Consumptionmentioning

confidence: 99%

An Experimental Investigation into Anisotropic Energy Efficiency of Milling Process

Liu¹,

Liu²,

Shi³

et al. 2022

Asian Society for Precision Engineering and Nanotechnology (ASPEN 2022)

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“…They concluded that the quality of the machined surface in the presence of the support device is superior to that of the machined surface in the absence of the support device. Zhao et al [18] constructed a posture accessibility and a stability diagram based on geometric analysis and machining dynamic analysis by identifying interference and chatter-free cutter postures. Also, they propose a novel surface roughness prediction model by exploring the correlation between surface roughness and maximum cutter deformation force.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Machining Parameters in Thin-Walled Plate Milling Using a Fixture with Cylindrical Support Heads

Natarajan¹,

Chinnasamy²,

Bejaxhin³

2023

sv-jme

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Construction, processing, biomedical instruments, electronics, automobiles, and aerospace widely use thin-wall parts. Mostly, these thinwalled parts are machined using either a peripheral milling machine or an end milling machine with the help of fixtures. In this study, three different material thin-walled parts (i.e., Inconel 718, AISI 316L, and Al 6061) are machined in end milling using a newly designed fixture with cylindrical heads, and the surface roughness and deformation with different machining parameters are compared. The optimum values of the machining parameters feed, speed, and depth of cut have been found to improve the surface roughness of thin-walled plates by arresting the deformation using the proposed fixture. Analysis of variance (ANOVA) results show that the speed is the most influential parameter in the case of displacement for AISI 716L and Al 6061, feed is the most influential parameter in the case of surface roughness for Inconel 718 and AISI 716L, and speed is the most influential parameter in the case of displacement and surface roughness for Al 6061. The use of fixtures provides a significant reduction in the deformation and surface roughness during the machining in end milling machine.

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“…However, the fact is that surface micro-morphology has an extremely important influence on surface friction, wear and fatigue life [7][8][9][10]. Furthermore, surface roughness parameters have been widely used in many fields such as manufacturing, materials and biology [11][12][13][14]. In addition, the forward physical models usually need to be simulated with the help of finite element software, which is inefficient [6,15].…”

Section: Introductionmentioning

confidence: 99%

“…Adjust the error of Sq of Z c to 0 by equation(14) to obtain the final surface height matrix Z (2M-1 rows, 2N-1 columns). means to calculate the standard deviation of the matrix.…”

mentioning

confidence: 99%

An improved FFT method for shot peening surface reconstruction

Xia¹,

Tang²,

Li³

et al. 2022

Surf. Topogr.: Metrol. Prop.

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Shot peening is the efficient method for metal surface modification and performance improvement. However, there is still no effective way to establishing the mathematical model for shot peening surface reconstruction, resulting in restricting the correlation study between shot peening surface properties and morphology. The difficulty of shot peening surface reconstruction lies in how to accurately characterize the roughness surface height and texture features. Therefore, a novel method of generating non-Gaussian sequences with specified height roughness parameters is proposed in this paper. Fast Fourier transform (FFT) method gets improved combined with the new method, which overcome the predicament that the unimproved FFT cannot ensure the height features in the reconstructed shot peening surfaces. In addition, a new autocorrelation function in shot peening surfaces is proposed to accurately characterize the reconstructed surface texture. The experimental results show that with the improved FFT method and the new autocorrelation function introduced to shot peening surface reconstruction, the maximum error of the seven height roughness parameters in the reconstructed surface is 2.201%. And the texture features and height distribution of the reconstructed surface are in good agreement with the measured surface.

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Interference- and chatter-free cutter posture optimization towards minimal surface roughness in five-axis machining

Cited by 35 publications

References 36 publications

An Experimental Investigation into Anisotropic Energy Efficiency of Milling Process

An Experimental Investigation into Anisotropic Energy Efficiency of Milling Process

Investigation of Machining Parameters in Thin-Walled Plate Milling Using a Fixture with Cylindrical Support Heads

An improved FFT method for shot peening surface reconstruction

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