An overview of current status of cutting fluids and cooling techniques of turning hard steel

Liew, Pay Jun; Shaaroni, Ainusyafiqah; Sidik, Nor Azwadi Che; Yan, Jiwang

doi:10.1016/j.ijheatmasstransfer.2017.06.077

Cited by 133 publications

(37 citation statements)

References 88 publications

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“…Thus, assessment of the different machining characteristics of hardened steel is necessary to ensure that cutting operations are important manufacturing process to remain in the competitive market [5]. Hard turning process performance was majorly influenced by various factors namely workpiece hardness, cutting tool material, tool coatings, tool geometry, cutting parameters and cutting environment ( Figure 1) [6]. However, various attempts have been performed to analysis the sway of these factors on measured variables during the hard-turning process.…”

Section: Introductionmentioning

confidence: 99%

Hard Turning on JIS S45C Structural Steel: An Experimental, Modelling and Optimisation Approach

Kumar¹,

Modi²,

Panda³

et al. 2019

IJAME

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The present research is performed while turning of JIS S45C hardened structural steel with the multilayered (TiN-TiCN-Al2O3-TiN) CVD coated carbide insert by experimental, modelling and optimisation approach. Herein, cutting speed, feed rate, and depth of cut are regarded as input process factors whereas flank wear, surface roughness, chip morphology are considered to be measured responses. Abrasion and built up-edge are the more dominant mode of tool-wear at low and moderate cutting speed while the catastrophic failure of tool-tip is identified at higher cutting speed condition. Moreover, three different Modelling approaches namely regression, BNN, and RNN are implemented to predict the response variables. A Back-propagation neural network with a 3-8-1 network architecture model is more appropriate to predict the measured output responses compared to Elman recurrent neural network and regression model. The minimum mean absolute error for VBc, Ra and CRC is observed to be as 1.36% (BNN with 3- 8-1 structure), 1.11% (BNN with 3-8-1 structure) and 0.251 % (RNN with 3-8-1 structure). A multi-performance Optimisation approach is performed by employing the weighted principal component analysis. The optimal parametric combination is found as the depth of cut at level 2 (0.3 mm)-feed at level 1 (0.05 mm/rev) – cutting speed at level 2 (120 m/min) considered as favourable outcomes. The predicted results were validated through a confirmatory trial providing the process efficiency. The significant improvement for S/N ratio of CQL is observed to be 9.3586 indicating that the process is well suited to predict the machining performances. In conclusion, this analysis opens an avenue in the machining of medium carbon low alloy steel to enhance the machining performance of multi-layered coated carbide tool more effectively and efficiently.

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Section: Introductionmentioning

confidence: 99%

Hard Turning on JIS S45C Structural Steel: An Experimental, Modelling and Optimisation Approach

Kumar¹,

Modi²,

Panda³

et al. 2019

IJAME

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“…In recent years, superfinishing has received special attention due to its higher material removal rate (MRR), better part quality, and relatively low manufacturing costs [3]. To date, the superfinishing of simple profile workpieces with hard alloys has had a more mature process and equipment [4][5][6]. However, it is difficult using traditional manual polishing methods to acquire high-quality workpiece surfaces on microminiature surfaces to meet the modern processing and manufacturing requirements of low cost, short cycle, and high-quality [7,8].…”

Section: Introductionmentioning

confidence: 99%

The Grey Theory Combining the Taguchi Method for the Best Parameters: A Case Study of Polishing M300 Steel

Yang

Tong

et al. 2019

Mathematical Problems in Engineering

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M300 steel, as high-chromium alloy steel with strong wear resistance and corrosion resistance, is widely used in the manufacture of complex profile molds and aerospace military equipment such as missile parts. However, there are still some problems such as the contradiction between productivity and surface quality in the polishing process for M300 steel. Therefore, in order to solve these problems, surface polishing experiments on M300 steel, single-factor and orthogonal experiments, and parameters’ optimization were studied. In this paper, orthogonal experiments are conducted for four selected machining parameters: grain size (A), grinding speed (B), cutting depth (C), and feed rate (D) on a grinding machine. The experiment and parameters’ optimization of the ball type abrasive tool polishing M300 were investigated by a five-axis machining center, electronic analytical balance, and three-dimensional surface topographer, and the optimal process parameters and preferred intervals were optimized. The optimal parametric condition obtained for simultaneous minimization of surface roughness (Ra) and maximization of material removal rate (MRR) is as follows: grain size=#320, grinding speed=4500 r/min, cutting depth=0.4 mm, and feed rate=80 mm/s. The above parametric combination has been validated by confirmatory tests.

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“…Each one has different properties, and they are selected depending on machining processes requirements 1 …”

Section: Introductionmentioning

confidence: 99%

“…This fluid is suitable for turning, milling and grinding process due to the use of new cutting tool materials, such as hard metals and high cutting speeds. It reduce the effect of generated heat on cutting tool wear 1 . In the emulsion, the surfactant aid in the oil drop dispersion and influencing in drop size 13 .…”

mentioning

confidence: 99%

The Lubricity Analysis of Cutting Fluid Emulsions

et al. 2017

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The new generation of cutting fluids should have some characteristics, such as low toxicity and biodegradability. A bio-cutting fluid emulsion are an excellent option because they present those properties, as well as good mechanical performance. The present study aims to investigate the lubricity of O/W emulsions (cutting fluid emulsion), varying the concentration of anionic surfactant (1%, 2.5% and 5%) and epoxidized oil (5%, 10%, 15%, 20% e 25%). A sunflower oil was chemically modified by epoxidation reaction, then its viscosity, iodine and oxirane index, density, and acidity were characterized. The performances of the emulsions were evaluated using a tribometer HFRR (High Frequency Reciprocating Rig), under hydrodynamic lubrication conditions. The ball wear scars were analyzed using an optical microscopy. The results showed that a low concentration of surfactant promote friction and wear reduction. Based on the tribological performance, the emulsions with 5% and 10% of epoxidized oil are more suitable.

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An overview of current status of cutting fluids and cooling techniques of turning hard steel

Cited by 133 publications

References 88 publications

Hard Turning on JIS S45C Structural Steel: An Experimental, Modelling and Optimisation Approach

Hard Turning on JIS S45C Structural Steel: An Experimental, Modelling and Optimisation Approach

The Grey Theory Combining the Taguchi Method for the Best Parameters: A Case Study of Polishing M300 Steel

The Lubricity Analysis of Cutting Fluid Emulsions

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