Modeling and optimization of machining parameters in cylindrical grinding process

Rudrapati, Ramesh; Pal, P. K.; Bandyopadhyay, Asish

doi:10.1007/s00170-015-7500-9

Cited by 44 publications

(25 citation statements)

References 30 publications

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“…The result obtained from such experiments is quite easy to analyze as the experimental errors are minimized (Rudrapati et al, 2016). In this study, RSM BoxBehnken design has been applied for experimentation considering three levels of the three input parameters (N, S, t).…”

Section: Design Of Experiments (Doe)mentioning

confidence: 99%

“…The main purpose of data analysis is to find the significant individual and interaction effects of independent variables on the dependent responses (Rudrapati et al, 2016). ANOVA analysis has been performed using the software package Design Expert 7.0.…”

Section: Analysis Of Surface Roughness and Tool Vibrationmentioning

confidence: 99%

“…Risbood et al (2003) developed a prediction equation using ANN taking radial vibration of tool holder as a feedback signal. Rudrapati et al (2016) studied the effect of process parameters of cylindrical grinding process on the responses like workpiece vibration and surface roughness using RSM methodology. Process parameters were optimized for the desired responses using multi objective genetic algorithm and predicted model was verified using confirmatory test.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and optimization of surface roughness and tool vibration in CNC turning of Aluminum alloy using hybrid RSM-WPCA methodology

Sahoo¹,

Pratap²,

Bandyopadhyay³

2017

10.5267/j.ijiec

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This paper suggests an advanced hybrid multi output optimization technique by applying weighted principal component analysis (WPCA) incorporated with response surface methodology (RSM). This investigation has been carried out through a case study in CNC turning of Aluminum alloy 63400 for surface roughness (Ra) and tool vibration (db) optimization. Primarily, input parameters such as spindle speed (N), feed rate (S) and depth of cut (t) are designed for experiment by using RSM Box-Behnken methodology. The aluminum alloy workpieces are machined by using coated carbide tool (inserts) in dry environment. Secondly, the empirical model for the responses as the functions of cutting parameters are obtained through RSM technique and the adequacy of the models have been checked using analysis of variance (ANOVA). Finally, the process parameters are optimized using WPCA technique. The confirmatory experiment has been performed using optimized result and it reveals that multiple response performance index (MPI) value was increased by 0.2908 from initial setting. The increases in MPI value indicates that the aforesaid optimization methodology is suitably acceptable for multi response optimization for turning process.

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Section: Design Of Experiments (Doe)mentioning

confidence: 99%

Section: Analysis Of Surface Roughness and Tool Vibrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling and optimization of surface roughness and tool vibration in CNC turning of Aluminum alloy using hybrid RSM-WPCA methodology

Sahoo¹,

Pratap²,

Bandyopadhyay³

2017

10.5267/j.ijiec

Self Cite

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show abstract

“…The selection of experimental design suitable for a given process is very important due to the accuracy and correctness of the obtained results, i.e. the mathematical model relationships describing selected process variables [1][2][3].…”

mentioning

confidence: 99%

Forces modeling in a surface peripheral grinding process with the use of various design of experiment (DoE)

et al. 2018

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Title of article: "Modelowanie sił w szlofowaniu obwodowym płaszczyzn według różnych planów badawczych" (" Forces modeling in a surface peripheral grinding proces with the use of various design of experiment (DoE)") Mechanik, Vol. 91, No. 10 (2018): pages 929-931 Modelowanie sił w szlifowaniu obwodowym płaszczyzn według różnych planów badawczych WITOLD HABRAT MARCIN ŻÓŁKOŚ JANUSZ ŚWIDER ELŻBIETA SOCHA * The paper presents forces modeling with the use of DoE models, such as (Box-Wilson) central composite design in face centered variant (CCF) and Box-Behnken design in a surface peripheral grinding process of 100Cr6 steel with M3X60K5VE01-35 grinding wheel. Experiment design and result analysis were done with the use of Design-Expert software. Force models, obtained with application of selected designs of experiment, were compared on the basis of the coefficient of determination, and values of residual standard deviation.

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“…Rudrapati vd. [26], cevap yüzeyi metodunu kullanarak iç silindirik taşlama işleminde titreşim ve yüzey pürüzlülüğü olarak belirlenen iki amacı eniyileyecek faktör seviyelerinin tespit edilmesine yönelik bir araştırma gerçekleştirmiştir. Çok amaçlı en iyileme işlemi için genetik algoritmanın kullanıldığı bir sezgisel en iyileme uygulaması araştırma içeriğinde sunulmuştur.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Kam Makarasının Dış Çap Yüzey Taşlama İşleminde Etkili Olan Faktörlerin Deney Tasarımı Kullanılarak En İyilenmesi

Günay¹,

Yurdakul²,

İç³

et al. 2018

Journal of Polytechnic

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Kam makarasının dış çap yüzey taşlama işleminde etkili olan faktörlerin deney tasarımı kullanılarak en iyilenmesiBu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Günay E., Yurdakul M., İç, Y. T., Mızrak H. V, ve Güneş S., "Kam makarasının dış çap yüzey taşlama işleminde etkili olan faktörlerin deney tasarımı kullanılarak en iyilenmesi", Politeknik Dergisi, 21(1): 27-37, (2018).

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Modeling and optimization of machining parameters in cylindrical grinding process

Cited by 44 publications

References 30 publications

Modeling and optimization of surface roughness and tool vibration in CNC turning of Aluminum alloy using hybrid RSM-WPCA methodology

Modeling and optimization of surface roughness and tool vibration in CNC turning of Aluminum alloy using hybrid RSM-WPCA methodology

Forces modeling in a surface peripheral grinding process with the use of various design of experiment (DoE)

Kam Makarasının Dış Çap Yüzey Taşlama İşleminde Etkili Olan Faktörlerin Deney Tasarımı Kullanılarak En İyilenmesi

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