Developing new trends of cutting tool geometry

Kattan, I.A.; Currie, Kenneth R.

doi:10.1016/0924-0136(96)02492-2

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…Indeed, the nose of the tool was engaged during the tests and the measured forces are studied in the measurement basis. Some changes have been observed in the chip morphology when changing r  [10][11]13]. However, the experimental work presented in this paper suggests an explanation, detailed in the following sections, based on the contact between the clearance face and the machined surface.…”

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confidence: 81%

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Improvement of Cutting Forces Modeling Based on Oriented Cutting Tests

et al. 2013

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International audienceIn order to predict the characteristics of the machined part, such as geometry, surface roughness and fatigue or corrosion resistance, the cutting forces values should be known as precisely as possible. The edge discretisation methodology can be used to model the three components of the cutting forces. The results are generally considered as suitable, even if the considered cutting operation is complex, because the geometry is well described. Usually, the local cutting forces model is identified from orthogonal or oblique cutting tests and the local contributions are assumed to be independent of the orientation of the elementary edge in the reference plane Pr. However, when turning in the tool nose or with round inserts, the tool cutting edge angle Kr (or Side Cutting Edge Angle) evolves along the active cutting edge and the values of this angle are very small compared to that of 90° used in orthogonal/oblique cutting. For this study, a new elementary cutting operation, called "oriented cutting", has been tested. In this configuration, the active cutting edge is rectilinear, without inclination, but oriented by an angle Kr different from 90°. In addition, cylindrical turning tests have been done. The measurements, performed in pure copper, show an influence of the tool cutting edge angle on the cutting forces. An interaction between Kr and the workpiece radius is also highlighted

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confidence: 81%

“…The effect of the side cutting edge angle (SCEA, equal to 90 r    ) has been yet experimentally studied [9][10][11][12]. Unfortunately, the ranges of variations of r  are close to 90  (except in [9]).…”

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confidence: 99%

Improvement of Cutting Forces Modeling Based on Oriented Cutting Tests

et al. 2013

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“…1 In recent decades, numerous developments have been made to enhance the cutting tool’s material and geometry. 2,3 Cemented carbide cutting tools have better toughness and can withstand higher temperatures than conventional tools, improving the matching operation’s efficiency. Further coating of the Titanium Aluminum Nitride ( AlTiN ) or Titanium CarboNitride ( TiCN ) through Chemical Vapor Deposition ( CVD ) and Physical Vapor Depositio n ( PVD ) on the WC-Co increases its strength significantly.…”

Section: Introductionmentioning

confidence: 99%

Optimization of surface roughness parameters in Hybrid-Chemo Magnetorheological Finishing (HC-MRF) process using Response Surface Methodology and Genetic Algorithm

Rajput

Das

Kapil

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Hybrid Chemo-Magnetorheological Finishing ( HC-MRF) process is an advanced surface finishing process that utilizes the interaction of Magnetorheological Finishing and chemical etching to reduce the surface roughness of the cemented carbide cutting tools. Herein, Murakami’s reagent is used as a Magnetorheological (MR) fluid carrier medium to trigger chemical etching and mechanical abrasion. The synergic action reduces surface finishing time and increases process efficiency. However, optimizing process parameters during the HC-MRF process is required to improve process efficiency further. Response Surface Methodology ( RSM) is used to develop the regression model to study the impact of process parameters (i.e. spindle speed, feed rate, and vol.% of Murakami’s reagent in MR fluid) on the surface quality. Three surface roughness parameters, namely average surface roughness ( Ra), skewness ( Rsk), and kurtosis ( Rk), are opted to analyze the surface characteristics of the polished surface. Furthermore, optimization is performed with the help of a Genetic Algorithm ( GA) to achieve the best surface quality following input parameters. The surface roughness ( Ra) is reduced by 88.97% as the initial Ra value decreases to 34.50 nm from 312.87 nm after the HC-MRF process. The results obtained from RSM and GA are in good agreement with the experimental results. The optimum value of feed rate, spindle speed, and vol.% of Murakami’s reagent in the MR fluid while achieving minimum surface roughness value (i.e. 31.26 nm) through GA are 1.2 mm/min, 23 rpm, and 53%, respectively. The measured kurtosis ( Rku) value of 0.64 at the optimum process parameter condition represents flat peaks on the surface roughness irregularities of the polished surface. Similarly, a skewness ( Rsk) value of 1.46 signifies that the number of peaks is higher than the number of valleys on the polished surface. Furthermore, it is observed that the Vol.% of Murakami’s reagent in MR fluid is the most significant process parameter compared with other parameters among all responses.

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“…The traditional process for predicting the life of a machine tool involves Taylor's (1906) equation VT n =C, where V is cutting speed, T is tool life, and n and C are coefficients. This equation has played an important role in machining tool development (Kattan & Currie, 1996). Since advanced machining was introduced in the mid-1900s, various tool wear monitoring methods have been proposed to expand the scope and complexity of Taylor's equation.…”

Section: Introductionmentioning

confidence: 99%