Three-dimensional temperature predictions in machining processes using finite difference method

Ulutan, Durul; Lazoğlu, İsmail; Dinc, Cenk

doi:10.1016/j.jmatprotec.2008.03.020

Cited by 60 publications

(28 citation statements)

References 26 publications

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“…Then Ulutan et al (2007) utilized FDM to compute the cutting temperature field in the workpiece to build the thermal stress model for the calculation of the residual stress. Later, Ulutan et al (2009) utilized FDM to model the three-dimensional temperature field in machining and showed that the FDM model required less calculation time than FEM for the same accuracy. However, as in the case of FEM, FDM does not provide an explicit description of the physical mechanism influencing the cutting temperature.…”

Section: / 40mentioning

confidence: 99%

Analytical model of temperature field in workpiece machined surface layer in orthogonal cutting

Huang

Yang

2016

Journal of Materials Processing Technology

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Section: / 40mentioning

confidence: 99%

Analytical model of temperature field in workpiece machined surface layer in orthogonal cutting

Huang

Yang

2016

Journal of Materials Processing Technology

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“…It is obvious that the measuring of the rake face of the cutting insert in which maximum temperature occurs is not possible to achieve using an infrared camera because of continual presence of the chip covering the area of interest. When the values of the chip's top temperature, the cutting depth and the physical properties of the work-piece are known, it is then possible (using finite-difference model, FEM analyses, or some other method) to calculate the maximum cutting tool temperature [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature

Tanikić¹,

Marinković²,

Manić³

et al. 2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The heat produced in metal cutting process has negative influence on the cutting tool and the machined part in many aspects. This paper deals with measurement of cutting temperature during single-point dry machining of the AISI 4140 steel, using an infrared camera. Various combinations of cutting parameters, i.e. cutting speed, feed rate and depth of cut lead to different values of the measured cutting temperature. Analysis of the measured data should explain the trends in temperature changes depending on changes in the cutting regimes. Furthermore, the temperature data is modelled using response surface methodology and fuzzy logic. The models obtained should determine the influence of cutting regimes on cutting temperature. The main objective is the reduction of cutting temperature, i.e. enabling metal cutting process in optimum conditions. Key words: machining, cutting temperature, infrared thermography, response surface methodology, fuzzy logic.Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature Total amount of heat produced in metal cutting process can be calculated as a sum of heat produced by the three mentioned sources:where: Q -total amount of generated heat, Q S 1 -amount of heat generated by heat source S 1 , Q S 2 -amount of heat generated by heat source S 2 , Q S 3 -amount of heat generated by heat source S 3.The heat balance during metal cutting process can be expressed as follows:where: Q 1 -amount of heat carried away in the chips, Q 2 -amount of heat remaining in the cutting tool, Q 3 -amount of heat passing into the work-piece, Q 4 -amount of heat radiated to the surrounding air.

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“…Wang et al 11 predicted cutting forces in three directions and chip morphologies in end milling of Ti-6Al-4V using ABAQUS/Explicit. Ulutan et al 12 applied three-dimensional finite difference-based model to predict temperature in machining of AISI 1050. Huang et al 13 also predicted the cutting force, temperature and residual stress of 40CrNiMoA based on ABAQUS.…”

Section: Introductionmentioning

confidence: 99%

Thermal–mechanical coupled finite element analysis of aluminum alloy grid sheet in high-speed milling

Zhao

Peng

Guo³

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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Because of notable distortion in high-speed milling of grid sheet, it is difficult to choose a feasible processing scheme for this kind of workpiece. This article attempts to present a method to analyze the stress and deformation of grid sheet under different processing schemes based on a coupled mechanical-thermal finite element model, which provides a convenient and flexible platform to evaluate the performance of processing scheme in high-speed milling and optimize the cutting conditions. After a thorough analysis of the whole milling process of grid sheet, the tool path was discretized to make it convenient for the modeling of material removal process. An analytical thermal load calculation method and an experimental mechanical load calculation method were adopted to determine the loads exerted on the grid sheet. The constraint of the fixture was also considered, and finally, an ANSYS Parametric Design Language-based finite element method model was established. Based on this model, stresses and deformations under a given processing scheme with or without considering heat effect were compared, and it shows that cutting heat has great effect on the magnitude and distribution of deformation and stress. In addition, effects of some parameters on machining quality were investigated, and it was found that radial depth of cut has more impact than other parameters.

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Three-dimensional temperature predictions in machining processes using finite difference method

Cited by 60 publications

References 26 publications

Analytical model of temperature field in workpiece machined surface layer in orthogonal cutting

Analytical model of temperature field in workpiece machined surface layer in orthogonal cutting

Application of response surface methodology and fuzzy logic based system for determining metal cutting temperature

Thermal–mechanical coupled finite element analysis of aluminum alloy grid sheet in high-speed milling

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