Numerical assessment of transition in cutting mode and its effect on roughness creation

Zheng, Wenbin; Ma, Li; Pei, Shiyuan; Aghababaei, Ramin

doi:10.1016/j.ijmecsci.2023.108666

Cited by 4 publications

(3 citation statements)

References 66 publications

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“…We can see most of the high-temperature distribution at three regions as the pile-up forming (B), shear-slip (C), and flank face friction region (A). Region C is the contacting region between the head of the tool and the sample, and the primary source of heat primarily arises from frictional heat when the cutting tool rubs with the model [40]. The temperature region B is the rubbing region between the cutting chip and the front face of the cutting blade.…”

Section: The Cutting Processmentioning

confidence: 99%

“…The presence of hexagonal close packed (HCP), body center cubic (BCC), and amorphous structure reveals the phase transformation during the cutting process. The emission and nucleation of stacking fault (SF) and dislocation appear primary at the sample surface due to the release of the energy stored in the sample [40,43], as indicated in figures 5(a3) and (b3). Meanwhile, the subsurface deformation layer is created after dislocation propagation [44], as shown in figures 5(a2) and (b2).…”

Section: The Cutting Processmentioning

confidence: 99%

See 1 more Smart Citation

Material deformation mechanism of lamellar twined high–entropy alloys during machining

Vu,

Pham,

Fang

2024

Modelling Simul. Mater. Sci. Eng.

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The effects of sample structure and tool geometry are studied under cutting simulation to verify the deformation, removal mechanisms, and subsurface defection of lamellar twined CoCuFeNiPd alloys. These findings suggest that the twin boundary spacing and twin inclination angle (β) are the main determinants of surface wear characteristics and cutting-induced surface harm. The maximum cutting force achieved with TBS = 8a and β =900. The high friction coefficient with the sample has TBS = 8a and β = 900, showing that the tool's moving in the substrate is strongly restricted. Furthermore, the surface topography is not sensitive to the TBS and β. The best-machined surface is achieved with TBS = 3a and 4a under twin inclinations of 0 and 300. The effect of edge radius (R), rake angle (γ), and clearance angle (α) on the deformation behavior is examined. The negative of γ, small α, or larger R results in a higher cutting force, a worse subsurface, and a lower cutting pile-up height. With a positive γ, a large α or small R has a larger average friction coefficient, which implies a higher resistance rate. The tool with a smaller R or positive γ can improve the machined surface's smoothness.

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Section: The Cutting Processmentioning

confidence: 99%

Section: The Cutting Processmentioning

confidence: 99%

Material deformation mechanism of lamellar twined high–entropy alloys during machining

Vu,

Pham,

Fang

2024

Modelling Simul. Mater. Sci. Eng.

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show abstract

“…Pan et al [13] used a second-order polynomial model to describe the surface roughness response. Nevertheless, when calculating the surface roughness of the workpiece using this model, comprehensive impact factors, such as tool wear [20], heat [9], material properties [21], and chip thickness, must be considered [22].…”

Section: Introductionmentioning

confidence: 99%

Extraction and Analysis of Surface Quality Characteristics of Turning Workpieces Based on Finite Element Methods

Chen,

Li,

Zou

et al. 2024

Preprint

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Selecting appropriate cutting parameters can enhance surface quality and extend component lifespan. In addressing challenges such as prolonged duration and low efficiency in multi-parameter turning experiments, constructing precise finite element models is the primary task. Subsequently, to obtain comprehensive distributions of the cutting force and temperature under various cutting parameters, an orthogonal turning experiment was designed, and numerical simulations were conducted. To acquire the surface roughness information of the machined surface, image processing techniques were introduced, encompassing surface mesh calibration, workpiece edge extraction, and edge fitting, with the aim of calculating surface roughness values based on the results of finite element simulation. An in-depth exploration of the interrelationships between the cutting parameters and cutting force, turning temperature, and surface roughness was conducted through range analysis and multiple-factor linear regression analysis. Consequently, a multivariate regression model was developed to address this relationship. Finally, the practical feasibility of the proposed method was verified through turning experiments. This study establishes a foundation for constructing linear regression models between workpiece surface quality and cutting parameters, and demonstrates the innovative application of image processing techniques to overcome the difficulties in obtaining and measuring workpiece surface quality.

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Phase transformation and incidental effects of metastable crystalline TiAlN on the material removal mechanism

Zheng,

Airao,

Aghababaei

2024

Mechanics of Materials

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Numerical assessment of transition in cutting mode and its effect on roughness creation

Cited by 4 publications

References 66 publications

Material deformation mechanism of lamellar twined high–entropy alloys during machining

Material deformation mechanism of lamellar twined high–entropy alloys during machining

Extraction and Analysis of Surface Quality Characteristics of Turning Workpieces Based on Finite Element Methods

Phase transformation and incidental effects of metastable crystalline TiAlN on the material removal mechanism

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