Machinability assessment of inconel 718 by factorial design of experiment coupled with response surface methodology

Choudhury, Imtiaz Ahmed; El-Baradie, M.A.

doi:10.1016/s0924-0136(99)00085-0

Cited by 83 publications

(42 citation statements)

References 7 publications

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“…The relationship between the factors and the process response were modeled by full quadratic model (Choudhury & El-Baradie, 1999). …”

Section: Mathematical Modelsmentioning

confidence: 99%

“…ANOVA was performed to investigate the more influencing parameters on the multiple performance characteristics. Mathematical models have been developed based on the full quadratic model which is generally used in RSM problems (Choudhury & El-Baradie, 1999), it can be written as follow: (1) where, β0 is constant, βi ,βii and βij are the coefficients of linear, quadratic and cross product terms, respectively. (Xi), are the actual variables that correspond to the studied machining parameters.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quality-productivity decision making when turning of Inconel 718 aerospace alloy: A response surface methodology approach

Tebassi¹,

Yallese²,

Belhadi³

et al. 2017

10.5267/j.ijiec

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Inconel 718 is among difficult to machine materials because of its abrasiveness and high strength even at high temperature. This alloy is mainly used in aircraft and aerospace industries. Therefore, it is very important to reveal and evaluate cutting tools behavior during machining of this kind of alloy. The experimental study presented in this research work has been carried out in order to elucidate surface roughness and productivity mathematical models during turning of Inconel 718 superalloy (35 HRC) with SiC Whisker ceramic tool at various cutting parameters (depth of cut, feed rate, cutting speed and radius nose). A small central composite design (SCCD) including 16 basics runs replicated three times (48 runs), was adopted and graphically evaluated using Fraction of design space (FDS) graph, completed by a statistical analysis of variance (ANOVA). Mathematical models for surface roughness and productivity were developed and normality was improved using the Box-Cox transformation. Results show that surface roughness criterion Ra was mainly influenced by cutting speed, radius nose and feed rate, and that the depth of cut had major effect on productivity. Finally, ranges of optimized cutting conditions were proposed for serial industrial production. Industrial benefit was illustrated in terms of high surface quality accompanied with high productivity. Indeed, results show that the use of optimal cutting condition had an industrial benefit to 46.9 % as an improvement in surface quality Ra and 160.54 % in productivity MRR.

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“…The relationship between the factors and the process response were modeled by full quadratic model (Choudhury & El-Baradie, 1999). …”

Section: Mathematical Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quality-productivity decision making when turning of Inconel 718 aerospace alloy: A response surface methodology approach

Tebassi¹,

Yallese²,

Belhadi³

et al. 2017

10.5267/j.ijiec

View full text Add to dashboard Cite

show abstract

“…The cutting speed has decreasing control on cutting forces components (Fa, Fr and Fv) (Choudhury & El-Baradie, 1999). The increase in cutting speed leads to enhance temperature and consequently the softening of the workpiece material.…”

Section: Cutting Force Componentsmentioning

confidence: 99%

“…At the high cutting speed, the deformation rate in the workpiece surface was increased by increased temperature causing the surface softening and by consequence, improved surface roughness and the surface roughness were also affected by the feed rate . During a study of machinability assessment of Inconel 718 accomplished by Choudhury and El-Baradie (1999), it was revealed that the surface roughness generated by the uncoated and coated tools was mostly influenced by the change in feed, and the increase in the depth of cut improved the surface finish produced by the coated carbide tools whilst it was the opposite when the uncoated tools were used while cutting force was decreased when the speed was increased and increased when the feed or depth of cut was increased.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of surface roughness, cutting forces, productivity and Power consumption when turning of Inconel 718

Tebassi¹,

Yallese²,

Khettabi³

et al. 2016

10.5267/j.ijiec

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Nickel based super alloys are excellent for several applications and mainly in structural components submitted to high temperatures owing to their high strength to weight ratio, good corrosion resistance and metallurgical stability such as in cases of jet engine and gas turbine components. The current work presents the experimental investigations of the cutting parameters effects (cutting speed, depth of cut and feed rate) on the surface roughness, cutting force components, productivity and power consumption during dry conditions in straight turning using coated carbide tool. The mathematical models for output parameters have been developed using Box-Behnken design with 15 runs and Box-Cox transformation was used for improving normality. The results of the analysis have shown that the surface finish was statistically sensitive to the feed rate and cutting speed with the contribution of 43.58% and 23.85% respectively, while depth of cut had the greatest effect on the evolution of cutting force components with the contribution of 79.87% for feed force, 66.92% for radial force and 66.26% for tangential force. Multi-objective optimization procedure allowed minimizing roughness Ra, cutting forces and power consumption and maximizing material removal rate using desirability approach.

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“…Cutting off parts from nickel-base heat-resistant alloys (for example, Inconel 718, Udimed 720) leads to both a rapid wear of the cutting tool and tool surface [1,[11][12][13][14][15][16], which can be generally called surface anomalies. These surface anomalies are the result of the bad processing characteristics of nickel-base alloys and the trend of rapid tool wear at cutting regardless of the types of machining operations [11,12,[14][15][16][17][18][19][20][21][22]. Aircraft engine manufacturers are developing a monitoring system to detect anomalies in the processing and to react against it [34].…”

Section: Introductionmentioning

confidence: 99%

A model of milling process based on Morlet wavelets decomposition of vibroacoustic signals

Khaymovich¹,

Prokhorov²,

Stolbova³

et al. 2017

Collection of Selected Papers of the III International Conference on Information Technology and Nanotechnology

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The paper considers the problem of online monitoring the condition of cutting tools to avoid its unexpected failure. To approach this problem we proposed a model of milling process based on Morlet decomposition of vibroacoustic signals. In addition, using the wavelets scalogram, we imposed a new condition that helps to improve early wear detection of the cutting tool. The findings of this research reveal the advantages of the proposed model compared to the previously reported models that rely on Haar wavelets and Short-time Fourier transform.

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Machinability assessment of inconel 718 by factorial design of experiment coupled with response surface methodology

Cited by 83 publications

References 7 publications

Quality-productivity decision making when turning of Inconel 718 aerospace alloy: A response surface methodology approach

Quality-productivity decision making when turning of Inconel 718 aerospace alloy: A response surface methodology approach

Multi-objective optimization of surface roughness, cutting forces, productivity and Power consumption when turning of Inconel 718

A model of milling process based on Morlet wavelets decomposition of vibroacoustic signals

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