The impact of the tool material and the cutting parameters on surface roughness of supermet 718 nickel superalloy

Darwish, S.M.

doi:10.1016/s0924-0136(99)00365-9

Cited by 69 publications

(37 citation statements)

References 17 publications

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“…A higher cutting speed results in a smoother surface using the Taguchi method [20] . Darwish [21] studied the effect of the tools and the cutting parameters on surface roughness of 718 nickel alloy. This work also showed that the feed rate has the dominant effect on surface roughness amongst the parameters studied, irrespective of the tool materials used.…”

Section: First-order Modelmentioning

confidence: 99%

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Surface Roughness Prediction Model in Machining of Carbon Steel by PVD Coated Cutting Tools

Şahin¹,

Motorcu²

2004

American J. of Applied Sciences

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Abstract:The surface roughness model in the turning of AISI 1040 carbon steel was developed in terms of cutting speed, feed rate and depth of cut using response surface methodology. Machining tests were carried out using PVD-coated tools under different cutting conditions. The surface roughness equations of cutting tools when machining the carbon steels were achieved by using the experimental data. The results are presented in terms of mean values and confidence levels. The established equation shows that the feed rate was found to be a main influencing factor on the surface roughness. It increased with increasing the feed rate, but decreased with increasing the cutting speed and the depth of cut, respectively. The variance analysis for the second-order model shows that the interaction terms and the square terms were statically insignificant. However, it could be seen that the first-order effect of feed rate was significant while cutting speed and depth of cut was insignificant. The predicted surface roughness of the samples was found to lie close to that of the experimentally observed ones with 95% confident intervals.

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Section: First-order Modelmentioning

confidence: 99%

“…This method has been used some by some other researcher. However, a little work on machining of steels has given to the analysis and prediction of tool life [4][5][6][7][8] and surface roughness [9][10][11][12][13][14][15][16][17][18][19][20][21][22] .…”

Section: Introductionmentioning

confidence: 99%

Surface Roughness Prediction Model in Machining of Carbon Steel by PVD Coated Cutting Tools

Şahin¹,

Motorcu²

2004

American J. of Applied Sciences

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“…Feed rate has been reported as another major parameter to affect surface roughness in machining of superalloys [5,29,55]. Darwish [55] investigated the effects of various cutting parameters on surface roughness in machining of supermet 718 superalloy.…”

Section: Surface Roughnessmentioning

confidence: 99%

Effects of cutting parameters on machinability characteristics of Ni-based superalloys: a review

Kaya

Akyüz

2017

Open Engineering

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Nickel based superalloys offer high strength, corrosion resistance, thermal stability and superb thermal fatigue properties. However, they have been one of the most difficult materials to machine due to these properties. Although we are witnessing improved machining strategies with the developing machining, tooling and inspection technologies, machining of nickel based superalloys is still a challenging task due to in-process strains and post process part quality demands. Selecting optimum machining parameters for quality, productivity and profitability is of paramount importance. Many studies have been conducted on various aspects of machinability of nickel based superalloys including defining the optimum cutting parameters, to develop a better understanding of machining them. The recent studies suggest new findings, and discuss previously reported results, related to the concerns of superalloy machining. This review presents the influences of the most significant cutting parameters on various machinability characteristics with respect to the recent studies as well as the previous ones. The reviewed machinability characteristics may be listed as: tool wear, cutting forces and surface integrity.

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“…Thiele et al [10] used three-level factorial design to determine the effectiveness of work piece hardness, cutting edge geometry on surface roughness and cutting forces in finish hard turning of AISI 52100 steel using CBN tools. The effect of tool material (Ceramic and CBN) and cutting parameters (speed, feed rate and depth of cut) on surface roughness was deliberated by Darwish et al [11] using two-level factorial designs (2 3 ). He further verified a effect for ceramic inserts on surface roughness when compared with CBN inserts at high and low feed rates.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Multi Objective Optimization Approach for Hard Turning of EN-31 Steel

Trivedi¹

2017

IJRASET

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An effort is made to explore the effect of cutting parameters (cutting speed, feed rate, depth of cut and nose radius) on multiple surface roughness characteristics in finish hard turning of EN -31 steel (a material that is extensively used in automotive industry) using HSS tool. Hard turning is considered as a special machining process for turning hardened steels with high surface qualities. A multi objective optimization problem is highlighted by applying Weighted Principal Component Analysis combine with Taguchi method. The purpose of this study is to select optimum process parameters, which could satisfy the various requirements of surface quality. The traditional concept of Taguchi method alone can't help to eliminate multi objective optimization problem, so to overcome this limitation, the WPCA has been combined with the Taguchi method. Apart from this, a combine quality loss is also calculated and optimized at last. Resultsare presented in the form of graphs and tables.

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The impact of the tool material and the cutting parameters on surface roughness of supermet 718 nickel superalloy

Cited by 69 publications

References 17 publications

Surface Roughness Prediction Model in Machining of Carbon Steel by PVD Coated Cutting Tools

Surface Roughness Prediction Model in Machining of Carbon Steel by PVD Coated Cutting Tools

Effects of cutting parameters on machinability characteristics of Ni-based superalloys: a review

Integrated Multi Objective Optimization Approach for Hard Turning of EN-31 Steel

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