Machined surface temperature in hard turning

Chen, Lei; Tai, Bruce L.; Chaudhari, Rahul; Song, Xiaozhong; Shih, Albert J.

doi:10.1016/j.ijmachtools.2017.03.003

Cited by 36 publications

(10 citation statements)

References 19 publications

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“…Some of these studies analyze the process characteristics of material removal and quality of the machined surfaces. These studies are aimed at the effects of change in the cutting data [2,7] and the analysis of cutting process characteristics [9,10]. Integrity and quality of the machined hardened surfaces were studied by analyzing the surface roughness in grinding [11,12] and in turning [13] and by the alteration of the surface layer [14,15,16].…”

Section: Introductionmentioning

confidence: 99%

Accuracy and topography analysis of hard machined surfaces

Kundrák¹,

Sztankovics²,

Molnár³

2021

Manufacturing Technology

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Research on efficient machining of hardened surfaces is invariably of interest because the number of wear resistant surfaces on the machined parts is increasing. These surfaces can be machined by both single-point (cutting) and abrasive (grinding) tools. However, in designating the finishing of the parts, the working characteristics of the products that the parts are intended for limit the finishing options. In this paper the results of a comparative experiment are introduced. In the experiments the allowances were removed from the hardened surfaces of the parts by turning, grinding or a combination of them. The comparative analyses were carried out for the roughness and accuracy of the machined surfaces and the procedures were assessed.

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Section: Introductionmentioning

confidence: 99%

Accuracy and topography analysis of hard machined surfaces

Kundrák¹,

Sztankovics²,

Molnár³

2021

Manufacturing Technology

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“…Kus et al [23] measured the tool temperature during turning operation of grade 4340 steel by implementation of infrared radiation pyrometer and K type thermocouple. Chen et al [24] measured machining temperature during turning operation using embedded thermocouple in both tool and workpiece. Machining temperature at the rake face of the tool was found significantly higher than flank face.…”

Section: Introductionmentioning

confidence: 99%

Investigation on hard turning temperature under a novel pulsating MQL environment: An experimental and modelling approach

Roy

Kumar

Sahoo

et al. 2020

Mechanics & Industry

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Generation of total heat in hard turning largely influenced the cutting tool wear, tool life and finishing quality of work-surface. Thus, the measurement of this heat in terms of temperature becomes a necessity for achieving favourable machining performances. Therefore, this work presents a novel study on temperature measurement in three different zones during hard turning operation of 4340 grade steel under pulsating MQL environment. Temperatures are measured at three different locations namely chip-tool interface, flank face, and machined work surface (near to tool-work contact) and the location wise temperature is termed as chip tool interface temperature (T), flank face temperature (Tf) and machined work surface temperature (Tw) correspondingly. The temperature T and Tf are measured with help of K-type thermocouple while Tw is measured by Fluke make infra-red thermal camera. Pulsating MQL significantly reduced the temperature as the maximum temperature is noticed 110 °C which corresponds to chip-tool interface temperature (T) at highest speed (200 m/min) condition. In each test, the order of temperature follow the trend as: T > Tf > Tw. Considering average of all 16 temperatures, T is 14.42% greater than Tf and 39.36% larger than Tw while Tf is 21.79% greater than Tw. Experimental results concludes that the cutting speed is the most influencing factor followed by depth of cut for both T and Tf, whereas depth of cut is the most influencing factor for Tw. Further, these temperatures are predicted using linear regression, and absolute mean error (MAE) for responses T, Tf, and Tw is noticed as 1.848%, 0.542%, and 3.766% individually. Additionally, the optimum setting of input terms are estimated using WPCA (weighted principal component analysis) and found to be dc1 (0.1 mm) − fr2 (0.08 mm/rev) − vc2 (100 m/min) − Pt2 (2 s).

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“…This is because the large body of the reported work has, generally, examined the process responses at conventional ranges of the process parameters (viz. when the values of the applied feed rate are well above the value of the cutting edge radius of the tool at which the underlying mechanism is mainly pure cutting) [1,4,7,31,32,33,34]. However, at micro-scale machining, to achieve a proper chipping mechanism and high-quality machined surface and minimum cutting forces, extremely restrictive cutting conditions, especially the applied feed, have to be identified and rigorously applied.…”

Section: Introductionmentioning

confidence: 99%

FEM-Based Study of Precision Hard Turning of Stainless Steel 316L

et al. 2019

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This study aims to investigate chip formation and surface generation during the precision turning of stainless steel 316L samples. A Finite Element Method (FEM) was used to simulate the chipping process of the stainless steel but with only a restricted number of process parameters. A set of turning tests was carried out using tungsten carbide tools under similar cutting conditions to validate the results obtained from the FEM for the chipping process and at the same time to experimentally examine the generated surface roughness. These results helped in the analysis and understanding the chip formation process and the surface generation phenomena during the cutting process, especially on micro scale. Good agreement between experiments and FEM results was found, which confirmed that the cutting process was accurately simulated by the FEM and allowed the identification of the optimum process parameters to ensure high performance. Results obtained from the simulation revealed that, an applied feed equals to 0.75 of edge radius of new cutting tool is the optimal cutting conditions for stainless steel 316L. Moreover, the experimental results demonstrated that in contrast to conventional turning processes, a nonlinear relationship was found between the feed rate and obtainable surface roughness, with a minimum surface roughness obtained when the feed rate laid between 0.75 and 1.25 times the original cutting edge radius, for new and worn tools, respectively.

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Machined surface temperature in hard turning

Cited by 36 publications

References 19 publications

Accuracy and topography analysis of hard machined surfaces

Accuracy and topography analysis of hard machined surfaces

Investigation on hard turning temperature under a novel pulsating MQL environment: An experimental and modelling approach

FEM-Based Study of Precision Hard Turning of Stainless Steel 316L

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