Application of Response Surface Methodology to Predict Oil-Film Friction in Journal Bearing

Ahmed, Diyar I.; Kasolang, Salmiah; Khidhir, Basim A.; Abdullah, Nik Rosli

doi:10.4028/www.scientific.net/amm.393.931

Cited by 7 publications

(4 citation statements)

References 32 publications

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“…RSM is one of the most widely used technique for optimization in design of experiment (DOE) concept. The basis for DOE is to allow analysis of the interactions between input variables and related output variables for identification of the optimal response within the experimental region (Ahmed et al, 2013;Wu et al, 2012;Qiu et al, 2013).…”

Section: Response Surface Methodologymentioning

confidence: 99%

Optimized characterization of response surface methodology on lubricant with titanium oxide nanoparticles

Mohamad

Kasolang

2017

ILT

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Purpose An optimized model is often deployed to reduce trial and error in experimental approach and obtain the multi-variant correlation. In this study, response surface methodology (RSM), namely, Box–Behnken design (BBD) approach, has been used to optimize the characterization of lubricant with additives. BBD is based on multivariate analysis whereby the effects of different parameters are considered simultaneously. It is a non-linear system which is more representative of the actual phenomenon. This study aims to investigate the effect of three independent variables, namely, speed, load and concentration of TiO2, on the coefficient of friction (CoF). Design/methodology/approach RSM was applied to get the multiplicity of the self-determining input variables and construct mathematical models. Mathematical models were established to predict the CoF and to conduct a statistical analysis of the independent variables’ interactions on response surface using Minitab 16.0 statistical software. Three parameters were regulated: speed (X1), load (X2) and concentration of TiO2 (X3). The output measured was the CoF. Findings The result obtained from BBD has shown that the most influential parameter was speed, followed by concentration of TiO2 nanoparticles and then normal load. Analysis of variance indicated that the proposed experiment from the quadratic model has successfully interpreted the experimental data with a coefficient of determination R2 = 0.9931. From the contour plot of BBD, the optimization zone for interacting variables has been obtained. The zone indicates two regions of lower friction values (<0.04): concentration between 0.5 to 1.0 Wt.% for a speed range of 1,000 to 2,000 rpm, and load between 17 to 20 kg for a speed in the range of 1,200 to 1,900 rpm. The optimized condition shows that the minimum value of CoF (0.0191) is at speed of 1,782 rpm, load of 20 kg and TiO2 concentration of 1.0 Wt.%. Originality/value In general, it has been shown that RSM is an effective and powerful tool in experimental optimization of multi-variants.

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Section: Response Surface Methodologymentioning

confidence: 99%

Optimized characterization of response surface methodology on lubricant with titanium oxide nanoparticles

Mohamad

Kasolang

2017

ILT

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“…Beberapa penelitian yang pernah dilakukan salah satunya yaitu analisis kondisi optimum pencahayaan, kebisingan dan temperatur dengan metode response surface [3]. Penelitian yang dilakukan oleh [4] pada respon oil-film friction menggunakan metode response surface memberikan hasil yang baik dan dapat memprediksikan dengan tepat. Penelitian yang dilakukan oleh [5] menerapkan metode response surface untuk optimalisasi laba penjualan tanaman kangkung darat.…”

Section: Pendahuluanunclassified

Evaluasi Kinerja Daun Meniran dan Daun Seledri Pada Darah, Hati dan Ginjal dengan Menggunakan Metode Response Surface

Purwadi¹,

sugiyarto²,

Aprilia³

2021

JSMS

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Penelitian ini membahas megenai evaluasi kinerja daun Meniran dan daun Seledri pada organ darah, hati dan ginjal. Sampel pada daun Meniran dan daun Seledri masing–masing diambil sebesar 100 mg/BB dan 50 mg/BB. Metode yang digunakan pada penelitian adalah metode response surface. Penelitian ini dilakukan dua tahap, yaitu eksperimen orde I merupakan tahap penyaringan faktor (screening) dan ekperimen orde II yang merupakan tahap optimalisasi. Hasil penelitian menunjukkan bahwa model yang sesuai dan menghasilkan model yang optimal yaitu pada organ darah pada komponen trombosit dan pada komponen Neutrofil . Kondisi optimal pada komponen trombosit memberikan respon sebesar dengan kombinasi Meniran sebesar mg/BB dan Seledri sebesar mg/BB, sedangkan kondisi optimal pada komponen Neutrofil sebesar mcl kombinasi Meniran sebesar mg/BB dan Seledri sebesar mg/BB.

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“…Pandian et al [11] studied a twin cylinder compression engine to analyse the effect of injection system parameters on power output and emission characteristics while running in pongamia biodiesel-diesel blend considering RSM. Ahemad et al [12] utilized the RSM to study oil film friction of a fluid film bearing and compared the predicted and observed parameters with good agreement. Lee et al [13] further considered the response surface methodology for a HSDI diesel engine using common rail injection system.…”

Section: Introductionmentioning

confidence: 99%

Investigating Into the Effects of Bore Irregularities on the Hydrodynamic Performance Journal Bearing Using Response Surface Methodology

Pradhan¹,

Gupta²,

Mishra³

2023

Tribol. Ind.

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The current research is focused on investigating the influence of bearing irregularities like eccentricities (ε), non-circularities (G), L/D ratio (β), surface roughness coefficient (Y) on hydrodynamic performance of journal bearing such as load bearing capacity, friction force, lubricating oil flow.The performance is evaluated through finite difference method technique implementing a Newton-Raphson method of error convergence. The simulation outputs were than designed using an optimization tool entitled as Design of Experiment (DoE) on basis of response surface methodology (RSM). The outputs of RSM models were meant to forecast the response parameters like, load bearing capacity, friction force, flow of lubricant and further required to identify the noticeable interdependencies within the input parameters while evaluating the lubrication performance. The optimization of the bearing irregularities is done considering desirability approach of the response surface methodology in identifying proper combination of parameters.

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Application of Response Surface Methodology to Predict Oil-Film Friction in Journal Bearing

Cited by 7 publications

References 32 publications

Optimized characterization of response surface methodology on lubricant with titanium oxide nanoparticles

Optimized characterization of response surface methodology on lubricant with titanium oxide nanoparticles

Evaluasi Kinerja Daun Meniran dan Daun Seledri Pada Darah, Hati dan Ginjal dengan Menggunakan Metode Response Surface

Investigating Into the Effects of Bore Irregularities on the Hydrodynamic Performance Journal Bearing Using Response Surface Methodology

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