A Study on Cutting Force of Machining In Situ TiB2 Particle-Reinforced 7050Al Alloy Matrix Composites

Xiong, Yifeng; Wang, Wenhu; Jiang, Ruisong; Lin, Kunyang

doi:10.3390/met7060197

Cited by 14 publications

(12 citation statements)

References 28 publications

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“…This effect may be due to the increase in the cutting area and removed material volume, by increasing feed rate. 43 Moreover, Xu et al 28 observed that shear angles were increased by increasing cutting speed. As a result, shear slip plane area in the primary deformation zone decreases leading to reduced cutting force.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Numerical and experimental investigation of Johnson–Cook material models for aluminum (Al 6061-T6) alloy using orthogonal machining approach

Akram

Jaffery

Khan

et al. 2018

Advances in Mechanical Engineering

101

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This research focuses on the study of the effects of processing conditions on the Johnson-Cook material model parameters for orthogonal machining of aluminum (Al 6061-T6) alloy. Two sets of parameters of Johnson-Cook material model describing material behavior of Al 6061-T6 were investigated by comparing cutting forces and chip morphology. A two-dimensional finite element model was developed and validated with the experimental results published literature. Cutting tests were conducted at low-, medium-, and high-speed cutting speeds. Chip formation and cutting forces were compared with the numerical model. A novel technique of cutting force measurement using power meter was also validated. It was found that the cutting forces decrease at higher cutting speeds as compared to the low and medium cutting speeds. The poor prediction of cutting forces by Johnson-Cook model at higher cutting speeds and feed rates showed the existence of a material behavior that does not exist at lower or medium cutting speeds. Two factors were considered responsible for the change in cutting forces at higher cutting speeds: change in coefficient of friction and thermal softening. The results obtained through numerical investigations after incorporated changes in coefficient of friction showed a good agreement with the experimental results.

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Section: Discussionmentioning

confidence: 99%

“…Thickness and shape of all chips were noted and chip thickness ratio (r) and shear angle (u) were determined. Shear angle was calculated using equation (4) 25,[41][42][43] tan u = r cos a 1 À sin a ð4Þ…”

Section: Measurement Of Cutting Forcesmentioning

confidence: 99%

Numerical and experimental investigation of Johnson–Cook material models for aluminum (Al 6061-T6) alloy using orthogonal machining approach

Akram

Jaffery

Khan

et al. 2018

Advances in Mechanical Engineering

101

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“…However, no explanation related to thermal softening or strain hardening effects was given as compared to [59] (Figure 25Figure 25). However, Xiong et al [61] have claimed that feed rate had the most dominant effects on cutting force when micro-milling Al/TiB 2 instead of filler content or cutting speed due to their influences on increasing shear angle and decreasing friction angle while Pramanik et al [62] confirmed that the increase of material removal rate (MRR) at high feed rates contributed to cutting force escalation.…”

Section: Micromachining Of Nano-ceramic Based Nanocompositesmentioning

confidence: 99%

A Review on Nanocomposites. Part 2: Micromachining

Liu

Khaliq

Huo

et al. 2020

Journal of Manufacturing Science and Engineering

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Micromachining of nanocomposites is deemed to be a complicated process due to the anisotropic, heterogeneous structure and advanced mechanical properties of these materials associated with the size effects in micromachining. It leads to poorer machinability in terms of high cutting force, low surface quality, and high rate of tool wear. A comprehensive review on mechanical properties of nanocomposites aiming to pointout their effects on micro-machinability has been addressed in part 1. In part 2, the subsequent micro-machining processes are critically discussed based on relevant studies from both experimental and modeling approaches. The main findings and limitations of these micro-machining methods in processing nanocomposites have been highlighted together with future prospects.

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“…Substituting equations (3), (11), and (23) into equation (24), the final micromilling force models are obtained as equations (25) and (26)…”

Section: Compositementioning

confidence: 99%

“…By milling process, Liu et al 24 constructed a model for nanoscale particle–reinforced magnesium matrix composites, in which the particles were considered to be removed by elastic deformation and movement. Xiong et al 25 built a model to calculate the forces at the maximum cutting thickness in milling the in-situ TiB 2 /Al composite, assuming the composite as a homogeneous material. Deng et al 26 presented a novel analytical model to predict the cutting forces in micromilling of this material considering particle debonding caused by interface failure.…”

Section: Introductionmentioning

confidence: 99%

An analytical model for force prediction in micromilling silicon carbide particle–reinforced aluminum matrix composites

Liu

Cheng

Ding

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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In micromilling the silicon carbide particle–reinforced aluminum matrix composites, cutting forces can provide a better insight of the cutting mechanism. In this article, an analytical model for force prediction in micromilling composites is developed considering the size effect of the matrix. In modeling, for the matrix, the cutting area is divided into shearing area and plowing area and the removal forces are established considering chip formation and edge forces; for the particle, the removal forces are established based on Griffith fracture theory. The model is verified by micromilling experiments. The influences of the process parameters (milling width, milling depth, and feed per tooth) on the milling force were studied. It shows that the maximum milling force increased with the increase in the feed per tooth and the milling depth and increases first and then stabilizes with the increase in milling width; the average milling force increases with the increase in the three parameters. In addition, the contribution of the particle fracture force is analyzed, and it is found that the contribution of the particle fracture force is affected by the feed per tooth, which basically accounts for about 23% of the maximum milling force and accounts for 23%–30% of the average milling force.

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A Study on Cutting Force of Machining In Situ TiB2 Particle-Reinforced 7050Al Alloy Matrix Composites

Cited by 14 publications

References 28 publications

Numerical and experimental investigation of Johnson–Cook material models for aluminum (Al 6061-T6) alloy using orthogonal machining approach

Numerical and experimental investigation of Johnson–Cook material models for aluminum (Al 6061-T6) alloy using orthogonal machining approach

A Review on Nanocomposites. Part 2: Micromachining

An analytical model for force prediction in micromilling silicon carbide particle–reinforced aluminum matrix composites

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