Modelling of surface finish and material removal rate in rough honing

Buj-Corral, Irene; Calvet, Joan Vivancos; Salcedo, Milton Coba

doi:10.1016/j.precisioneng.2013.07.009

Cited by 48 publications

(37 citation statements)

References 11 publications

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“…Main interaction was also that between grain size and density [34]. In accordance with a study by Troglio main factor affecting roughness is grain size.…”

Section: Figure 12 Surface Plot Ra Vs De;gssupporting

confidence: 88%

Indirect model for roughness in rough honing processes based on artificial neural networks

Sivatte-Adroer

Parra

Buj-Corral

et al. 2016

Precision Engineering

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In the present paper an indirect model based on neural networks is presented for modelling the rough honing process. It allows obtaining values to be set for different process variables (linear speed, tangential speed, pressure of abrasive stones, grain size of abrasive and density of abrasive) as a function of required average roughness Ra. A multilayer perceptron (feedforward) with a backpropagation (BP) training system was used for defining neural networks. Several configurations were tested with different strategies, number of layers, number of neurons and transfer function. Best configuration for the network was searched by means of two different methods, trial and error and Taguchi design of experiments (DOE). In both cases, best configuration corresponds to a single network with two hidden layers. Once best configuration was found, a network was defined for obtaining honing parameters as a function of required roughness parameters related to Abbott-Firestone curve, Rk, Rpk and Rvk.

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“…Main interaction was also that between grain size and density [34]. In accordance with a study by Troglio main factor affecting roughness is grain size.…”

Section: Figure 12 Surface Plot Ra Vs De;gssupporting

confidence: 88%

Indirect model for roughness in rough honing processes based on artificial neural networks

Sivatte-Adroer

Parra

Buj-Corral

et al. 2016

Precision Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Material removal rate, tool wear and surface roughness were optimized in their experimental study. In another external honing study performed by Ueda and Yamamoto [3], it is observed that increasing cutting speed increased material removal rate and reduced tool wear but generated a rough surface finish caused by 'crushing of cutting edges due to increase of vibration at the stroke end' (Buj-Carrol et al, [4]). In the literature related with experimental investigation of internal honing process, Bell et al [5] studied honing of internal surfaces of steel parts using three different grain sizes and several different pressures.…”

Section: Introductionmentioning

confidence: 99%

“…Their study provided relationships between roughness and material removal rate and with tangential and normal forces. Buj-Carral et al, [4] developed first and second order regression models and performed optimization for three different targets: minimizing roughness, maximizing material removal rate and multi objective (simultaneously minimizing roughness and maximizing material removal rate) for internal honing process. Grain size, density, tangential speed and pressure are found to be most significant abrasive stone and honing process parameters in Buj-Carral et al [4].…”

Section: Introductionmentioning

confidence: 99%

“…Buj-Carral et al, [4] developed first and second order regression models and performed optimization for three different targets: minimizing roughness, maximizing material removal rate and multi objective (simultaneously minimizing roughness and maximizing material removal rate) for internal honing process. Grain size, density, tangential speed and pressure are found to be most significant abrasive stone and honing process parameters in Buj-Carral et al [4]. Other studies related with honing process in the literature include Feng et al [7], Troglio [8], Bai et al [9], Kanthababu et al [10], Pawlus et al [11], Buj-Carral and Vivancos-Calvet [12].…”

Section: Introductionmentioning

confidence: 99%

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An Optimization Study for the Surface Quality of the Honing Process

Yurdakul¹,

İç²,

Gunes³

2018

dtetr

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In this study, it is aimed to experimentally optimize the interior honing process, which is applied to improve surface roughness of the internal cylinder surfaces of the hydraulic cylinders in a privately owned company. The hydraulic cylinders produced in the company are used in heavy construction machineries. In the application, the optimal values of the critical honing parameters are determined by applying two different experimental design approaches namely, Taguchi and response surface methodologies separately and compared. For interior honing process, linear speed of the honing head, tangential speed of the cylinders and abrasive grain size are considered as critical parameters in the minimization of the surface roughness in the study. Experimental results are provided to illustrate the effectiveness of the application.

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“…Diğer çalışmalar arasında, Buj-Corral vd. [6] honlama işleminde yüzey pürüzlülüğünü en aza indirmek amacıyla gerçekleştirdikleri çalışmalarında farklı işleme parametrelerinin yüzey pürüzlülüğüne etkisini deneysel olarak incelenmişlerdir. Cabanettess vd.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Honlama Prosesinde Yüzey Kalitesinin Taguchi Metodu İle İyileştirilmesi

Yurdakul¹,

Güneş²,

İç³

2016

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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ÖZETHidrolik sistemlerin oluşturulmasında kullanılan en kritik parçalardan biri farklı et kalınlıklarındaki çelik borulardır. Üretim sonrasında boru iç yüzeyindeki yüzey hataları ve süreksizlikler, boruların içinde çalışan piston ve sızdırmazlık elemanları gibi önemli parçalara zarar verebilmektedir. Bunun önüne geçmek için, boruların ikincil işlenme operasyonlarında iç yüzeylerinin tornalanmasının ardından honlama operasyonu gerçekleştirilir. Honlama ile yüzey pürüzlülük değeri oldukça iyi seviyelere getirilebilir. Honlamada yüzey pürüzlülük değerine etki eden kontrol edilebilir faktörlerin en önemlileri; takım ilerleme hızı, takım dönüş hızı ve honlama taşı tane büyüklüğüdür. Bu faktörlerin optimize edilmesi, honlama işlemi verimini arttıracak ve yüzey pürüzlülük değerinin eniyilenmesini sağlayacaktır. Bu çalışmada Taguchi metodu kullanılarak, honlama prosesi yüzey pürüzlülük karakteristiğini etkileyen faktörlerin en iyi seviyeleri tespit edilmeye çalışılmıştır.Anahtar Kelimeler: Honlama, talaşlı imalat, yüzey pürüzlülüğü, Taguchi metodu IMPROVEMENT OF THE SURFACE QUALITY IN THE HONING PROCESS USING TAGUCHI METHOD ABSTRACTSteel cylinders are critical components of hydraulic systems and they are available in various diameters and thicknesses. Defects and discontinuities that remain on the inner body surfaces of the cylinders after turning operation can harm components that move inside the cylinders such as pistons and piston seals. Honing operation is commonly performed after turning operation as a finishing operation to improve inner surface quality of cylinders. Honing operation reduces surface roughness values to acceptable levels. The most critical parameters that are important in the honing operation are honing tool head forward speed, rotational speed of the tool and honing stone grain size. Optimizing these parameters will increase honing operation productivity and provide the best surface roughness values. This study aims to obtain the values of the most critical parameters that provide the best surface quality in the honing operation using Taguchi method.

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Modelling of surface finish and material removal rate in rough honing

Cited by 48 publications

References 11 publications

Indirect model for roughness in rough honing processes based on artificial neural networks

Indirect model for roughness in rough honing processes based on artificial neural networks

An Optimization Study for the Surface Quality of the Honing Process

Honlama Prosesinde Yüzey Kalitesinin Taguchi Metodu İle İyileştirilmesi

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