Extension of Oxley's predictive machining theory for Johnson and Cook flow stress model

Lalwani, D.I.; Mehta, N. K.; Jain, P.K.

doi:10.1016/j.jmatprotec.2009.03.020

Cited by 146 publications

(98 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The involved mean friction angle β n can be obtained from Eq. (20), where the sliding friction coefficient μ s =0.326+ 1.1×10 −3 V c (m/min) for this tool-workpiece pair [31]. The material constant in Eq.…”

Section: Comparison With the Published Resultsmentioning

confidence: 99%

“…(20), where the sliding friction coefficient μ s =0.654V c −0.208 for this calculation. The material constant in Eq.…”

Section: Experimental Validationmentioning

confidence: 99%

“…Based on the slip-line field analysis, Oxley [19] developed a predictive machining theory that considers the work hardening and thermal softening of workpiece material and the cutting forces can be determined by the flow stress of the workpiece material. Application of the Oxley's theory and its extended form [20] has achieved success to the simulation of end milling and face milling in the work of Young et al [21], Li et al [22,23], Zheng et al [24], and Pang [25]. Furthermore, through introducing the thermo-mechanical behavior of the workpiece material and the tool-chip interface friction characteristics, Moufki et al [26], Li et al [27], and Fu et al [28] also presented a predictive force model for helical end milling process using the oblique cutting approach.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An analytical force model for ball-end milling based on a predictive machining theory considering cutter runout

Yang

Wang

et al. 2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The work is motivated by the fact that cutting forces are commonly calculated by the mechanistic or numerical models which are considered time-consuming and impractical for various cutting conditions and workpiece-tool pair, and the irregular distribution of cutting forces is generated due to the uneven redistribution of the instantaneous uncut chip thickness (IUCT) caused by the cutter runout in ball-end milling process. Therefore, this paper presents an analytical force model considering the cutter runout for ball-end milling based on a predictive machining theory, which regards the workpiece material properties, tool geometry, cutting conditions, and types of milling as the input data. In this model, the shear flow stress is estimated by introducing a modified Johnson-Cook constitutive law which considers the phenomenon of the work hardening, temperature softening, and material size-effect. Each cutting edge of the ball-end cutter is discretized into a series of infinitesimal elements along the cutter axis and the cutting action of which is equivalent to the classical oblique cutting process. Thus, the cutting force components applied on each element can be calculated using a predictive oblique cutting model and the total instantaneous cutting forces are obtained by summing up the forces contributed by all cutting edges. What is more, this model takes into account the effect of the edge radius, varying sliding friction coefficient and cutter runout on the cutting forces. Finally, the proposed analytical model of cutting forces is verified by the published results and experimental data. Good agreement shows the effectiveness of the proposed analytical model and highlights the importance of the cutter runout on the forces.

show abstract

Section: Comparison With the Published Resultsmentioning

confidence: 99%

“…(20), where the sliding friction coefficient μ s =0.654V c −0.208 for this calculation. The material constant in Eq.…”

Section: Experimental Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An analytical force model for ball-end milling based on a predictive machining theory considering cutter runout

Yang

Wang

et al. 2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…The shear flow stress (k AB ), strain (ε AB ) and strain rate (ε AB ) along the shear plane (AB) are calculated according to the von Mises criterion [13] where A = 553.1 MPa, B = 600.8 MPa, n = 0.234, C = 0.0134 and m = 1 are the JC constants; and the melting temperature (T m ) is 1460 °C for AISI 1045 steel [24]. The shear velocity (V s ) is calculated by [9] According to Oxley [9], the average temperature due to plastic work in the shear zone can be calculated by Xiong et al [14] informed that the shear zone temperature factor (η) and the tool/chip interface temperature factor (ψ) had an important effect on the estimation accuracy.…”

Section: Shear Planementioning

confidence: 99%

“…Özel and Zeren [12] suggested some changes to Oxley's theory by considering the non-uniform distribution of the normal stress and the secondary shear zone as triangular in shape. Lalwani et al [13] included the JC model into Oxley's theory to estimate the force and temperature intensities with a simpler approach. Xiong et al [14] improved the algorithm of the extended Oxley's model [13] for computing cutting forces, feed forces and chip thicknesses through better accuracy and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Cutting temperature analysis considering the improved Oxley’s predictive machining theory

Aydın

2016

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

Dynamics of chip formation during the cutting process using imaging techniques: A review

Nie

Yang

Zhang

et al. 2022

Int Journal of Mech Sys Dyn

View full text Add to dashboard Cite

Imaging techniques have been widely implemented to study the dynamics of chip formation. They can offer a direct method and a full field measurement of the cutting process, providing kinematic information of the chip formation process. In this article, the state of the art of the imaging techniques reported in the literature has been summarized and analyzed. The imaging techniques have been applied to study the chip formation mechanism, friction behavior, strain/strain rate, and stress fields. Furthermore, the study of surface integrity has been advanced by deriving the thermo‐mechanical loading, subsurface deformation, and material constitutive model from the imaging technique. Finally, achievements in the area of imaging techniques have been summarized, followed by future directions for their application in the study of surface integrity.

show abstract

Extension of Oxley's predictive machining theory for Johnson and Cook flow stress model

Cited by 146 publications

References 13 publications

An analytical force model for ball-end milling based on a predictive machining theory considering cutter runout

An analytical force model for ball-end milling based on a predictive machining theory considering cutter runout

Cutting temperature analysis considering the improved Oxley’s predictive machining theory

Dynamics of chip formation during the cutting process using imaging techniques: A review

Contact Info

Product

Resources

About