Measurement and prediction of cutting temperatures during dry milling: review and discussions

Bhirud, N. L.; Gawande, R. R.

doi:10.1007/s40430-017-0869-7

Cited by 36 publications

(5 citation statements)

References 70 publications

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“…According to some research, vegetable oil enhances lubrication during machining operations. Chip-tool interaction (primary zone), workpiece-tool interaction (secondary zone), and chip-workpiece interaction (tertiary zone) are the three heat areas in machining metal [20,21]. Vegetable oil is capable of reaching the three heat areas by penetrating the sliding pair of cutting tools and workpieces.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of palm kernel oil as lubricants in cylindrical turning of AISI 304 austenitic stainless steel using Taguchi-grey relational methodology

Kazeem,

Enobun,

Akande

et al. 2023

Mater. Res. Express

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The disadvantages of the conventional cutting fluids such as mineral oil have prompted the search for eco-friendly cutting fluids. Vegetable oils have often been recommended as environmentally friendly substitutes for traditional mineral oil. The current study examined the performance of palm kernel oil (PKO) and its mineral oil during the turning of AISI 304 steel using the minimum quantity lubrication (MQL) technique. Six litres of crude PKO were extracted from palm kernel seeds through a mechanical extraction technique. Taguchi L9 (3)3 orthogonal array was considered for the experiment. The depth of cut (DC), feed rate (FR), and spindle speed (SS) are the cutting parameters while cutting temperature (CT) and surface roughness (SR) are the response characteristics. Experimental results showed that the mineral oil outperformed the PKO in terms of SR with an improvement of 48.2%. The improvement of PKO over mineral oil is approximately 0.89% in terms of cutting temperature. The highest turning temperature of mineral oil was 67.333 °C, while that of PKO was 67.8 °C. In general, the performance of PKO shows it can be a good replacement for mineral oil if produced industrially with adequate additives. The grey relational analysis (GRA) showed that the optimum DC, FR, and SS for palm kernel and mineral oils are 1.25 mm, 0.25 mm rev−1 and 870 rev min−1, and 1.25 mm, 0.10 mm rev−1, and 870 rev min−1, respectively. The results of this study demonstrated an experimental basis for the application of PKO minimal quantity lubrication turning and validated the efficacy of the integrated Taguchi-grey relational analysis (TGRA) optimization approach.

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Section: Introductionmentioning

confidence: 99%

Evaluation of palm kernel oil as lubricants in cylindrical turning of AISI 304 austenitic stainless steel using Taguchi-grey relational methodology

Kazeem,

Enobun,

Akande

et al. 2023

Mater. Res. Express

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“…Excessive temperature in the milling process will aggravate tool wear, and may also lead to tool fracture, deformation, reduction of workpiece dimensional accuracy and generation of surface microcracks [22]. Therefore, the milling temperature should be controlled in a small range as much as possible during processing to achieve higher surface nish and prolong the tool lifespan.…”

Section: Introduction Of Whale Optimization Algorithmmentioning

confidence: 99%

Research on temperature field of high-speed milling titanium alloy and machining parameters optimization

Liu,

Tong

et al. 2023

Preprint

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The high milling temperature in the high-speed milling process restricts the production efficiency and processing quality of titanium alloy thin-walled parts. Optimizing the processing parameters can control the temperature within a reasonable range, which can improve its production efficiency and processing quality. Therefore, it is imperative to conduct research on milling temperature and multi-objective parameter optimization during the milling process. In this paper, the temperature field model of the workpiece was established using the moving heat source method. The finite element method was used to simulate the temperature field of the workpiece during the milling process. The milling temperature was measured by an infrared thermal imager, and a milling temperature prediction model was set up based on the experimental data. Considering the minimum milling temperature and the maximum material removal rate, the whale optimization algorithm (WOA) was applied to optimize the processing parameters. The results showed that the maximum error of simulation and experimental results is less than 16%. The optimization method can provide reference for the selection of subsequent milling parameters.

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“…[ 22–25 ] However, it is difficult to capture the distribution of temperature in the contact zone during the machining. [ 26–28 ] To overcome the difficulty, the numerical models have been used to achieve in‐depth insight into the heat production in CFRP machining. In these numerical simulations, the material model of CFRP was usually treated as macro‐scale modeling, [ 29–32 ] and a few micro‐scale models.…”

Section: Introductionmentioning

confidence: 99%

Study on cutting force and induced thermal damage of carbon fiber reinforced polymer composites using microscopic simulation modeling

Xiao

Wang

Su³

et al. 2022

Polymer Composites

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A three-dimensional (3D) microscopic finite element (FE) cutting model was developed with the thermo-mechanical coupling for carbon fiber reinforced polymer (CFRP) composites in this article. The model predictions of cutting force, machined surface, and cutting temperature at various fiber orientations were obtained and compared with the experimental data. It was shown that the 3D microscopic cutting model can predict the cutting force, cutting temperature, and subsurface damage precisely. The behavior of cutting force has presented an obviously cyclical variation characteristics at the fiber orientations of 0 , 45 , and 90 , and different chip morphologies were obtained correspondingly. The temperature fields of machined surface were studied at the four different fiber orientations, in which the maximum residual temperature on the machined surface occurs at 90 . The heat-induced resin coating and resin ridges on the machined surface were obviously observed at the fiber orientations of 45 and 135 . The trend curve of cutting temperature is more similar with that of thrust force by comparing with cutting force, which meaning, unlike the isotropic metal materials, the thrust force has the direct effect on the heat generation. In addition, the comparison of depth of thermal and mechanical subsurface damage was also performed, it was showed that the depths of thermal subsurface damage are close to that of mechanical subsurface damage in the range of 0 -45 , and the thermal subsurface damage decrease while the mechanical subsurface damage increases with the increase of the fiber orientation range from 90 to 180 .

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Measurement and prediction of cutting temperatures during dry milling: review and discussions

Cited by 36 publications

References 70 publications

Evaluation of palm kernel oil as lubricants in cylindrical turning of AISI 304 austenitic stainless steel using Taguchi-grey relational methodology

Evaluation of palm kernel oil as lubricants in cylindrical turning of AISI 304 austenitic stainless steel using Taguchi-grey relational methodology

Research on temperature field of high-speed milling titanium alloy and machining parameters optimization

Study on cutting force and induced thermal damage of carbon fiber reinforced polymer composites using microscopic simulation modeling

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