Experimental determination of the tool–chip thermal contact conductance in machining process

Norouzifard, Vahid; Hamedi, Mohsen

doi:10.1016/j.ijmachtools.2014.04.003

Cited by 56 publications

(18 citation statements)

References 46 publications

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“…Therefore only fluxes q rake and q flank were selected as parameters when computing the model for another tool grade. The values of the fluxes are in good agreement with value obtained by other methods [13]. It is also seen that the heat flux through the rake is lower for CBN500 than for BCBN tools.…”

Section: Modellingsupporting

confidence: 87%

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Modelling and Experimental Investigation of Cutting Temperature when Rough Turning Hardened Tool Steel with PCBN Tools

et al. 2015

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In this study the cutting tool temperature that develops during rough turning of hardened cold-work tool steel is modelled on the basis of experimental data. The data obtained from a series of thermocouples, placed on a PCBN insert, into an anvil, and into a toolholder, were used as the input for the model. An inverse problem was solved, where the heat fluxes and heat transfer coefficients were computed and where the developed temperature field was reconstructed from the experimental readings. The temperature was modelled for the case of new tools, as well as for the case of its development in the course of tool wear. The machining case involved utilization of a high-cBN content and a binderless PCBN grade, both possessing high thermal conductivity of 110 and 190 W/m K respectively.

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Section: Modellingsupporting

confidence: 87%

“…Another approach to the modelling of the temperature distribution in a tool is to determine the heat flux into the tool from the chip and workpiece side [1]. Norouzifard et al [13] utilized the embedded thermocouples for the estimation of the flux of the frictional heat into the tool and the chip by solving an inverse problem.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Experimental Investigation of Cutting Temperature when Rough Turning Hardened Tool Steel with PCBN Tools

et al. 2015

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“…copper. It is a common knowledge that when the cutting tool material is significantly harder than the substrate, the plastic deformation of the softer work material will be the main heat source [18]. In our MD model, the energy transfer between copper and diamond is described by the selected potential functions.…”

Section: Temperature Distributionmentioning

confidence: 99%

Investigation on the thermal effects during nanometric cutting process while using nanoscale diamond tools

Tong

Liang

Yang

et al. 2014

Int J Adv Manuf Technol

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In this paper, large scale molecular dynamics simulations are carried out to investigate the thermal effect on nanometric cutting of copper while using a single tip and a multi-tip nanoscale diamond tool. A new concept of atomistic equivalent temperature is proposed and used to characterize the temperature distribution in the cutting zone. The results show that the cutting heat generated while using a multi-tip tool is larger than that of using a single tip tool. The local temperature is found to be higher at the inner sides of the multi-tip tool cutting edges than the outer sides. Applying centro-symmetry parameters and radius distribution function, the local annealing process and its effect on the integrity of the machined nanostructures are analyzed. It is observed that the local annealing at the machined surface can improve the surface integrity of the machined nanostructures, especially in the multi-tip diamond tool cutting process. There exists a great potential to control the thickness of residual atomic defect layer through an optimal selection of the cutting speed with designed depth of cut.

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“…Thermography is a reliable non-invasive technique for imaging skin temperature distribution. The thermal imaging camera has become a powerful tool for researchers and has applications in various fields such as medicine, biometrics, computer vision, building maintenance and so on [11,12]. In this paper, a medium-specification thermal imaging camera, namely an FLIR ONE™, was used to record a sequence of thermal images of temperature distributions across the patient foot.…”

Section: Thermal Imaging Cameramentioning

confidence: 99%

Early Detection of Diabetes using Thermography and Artificial Neural Networks

Abdulshahed¹,

Fm²

2017

IJCNE

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Experimental determination of the tool–chip thermal contact conductance in machining process

Cited by 56 publications

References 46 publications

Modelling and Experimental Investigation of Cutting Temperature when Rough Turning Hardened Tool Steel with PCBN Tools

Modelling and Experimental Investigation of Cutting Temperature when Rough Turning Hardened Tool Steel with PCBN Tools

Investigation on the thermal effects during nanometric cutting process while using nanoscale diamond tools

Early Detection of Diabetes using Thermography and Artificial Neural Networks

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