Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel

Noordin, M.Y.; Venkatesh, V.C.; Sharif, Safian; Elting, S.; Abdullah, Asma

doi:10.1016/s0924-0136(03)00861-6

Cited by 633 publications

(305 citation statements)

References 12 publications

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“…Jika dibandingkan dengan nilai yang diprediksikan (Tabel 7), maka nilai hasil verifikasi berada di kisaran 95% PI low dan 95% PI high. Hal ini berarti kondisi proses pengolahan untuk memperoleh ATC dengan rendemen dan kekuatan gel yang maksimum, cukup konsisten (Noordin et al, 2004).…”

Section: Verifikasi Solusi Formula Optimumunclassified

Aplikasi Response Surface Methodology Pada Optimalisasi Kondisi Proses Pengolahan Alkali Treated Cottonii (ATC)

Nurmiah

Syarief

Sukarno

et al. 2013

JPBKP

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ABSTRAKAlkali Treated Cottonii (ATC) merupakan hasil olahan rumput laut merah (Eucheuma cottonii) dengan perlakuan alkali. Kondisi proses seperti konsentrasi KOH, suhu dan waktu proses akan berpengaruh pada kuantitas dan kualitas ATC yang dihasilkan. Tujuan dari penelitian ini adalah untuk mengidentifikasi hubungan antara variabel input dan mengembangkan model prediksi yang digunakan dalam mengoptimalisasi kondisi proses pengolahan ATC.

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Section: Verifikasi Solusi Formula Optimumunclassified

Aplikasi Response Surface Methodology Pada Optimalisasi Kondisi Proses Pengolahan Alkali Treated Cottonii (ATC)

Nurmiah

Syarief

Sukarno

et al. 2013

JPBKP

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“…In contrast, statistical experimental design using response surface methodology (RSM) [14] can optimize all the effecting parameters and thus eliminate the limitations of a single factor optimising. The RSM has been widely used in various fields such as in biochemistry [15,16], in material processing for describing the performance of coated carbide tools [17], and in water treatment for studying the optimization of the coagulation-flocculation process [18]. However, few studies were reported to optimize influencing factors and their interactions to improve FA removal efficiency.…”

Section: Introductionmentioning

confidence: 99%

Optimising photoelectrocatalytic oxidation of fulvic acid using response surface methodology

Zhao

2007

Journal of Hazardous Materials

134

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Publication informationJournal of Hazardous Materials, 144 (1-2): 499-505 Publisher ElsevierLink to online version http://dx.doi.org/10.1016/j.jhazmat.2006.10.071Item record/more information http://hdl.handle.net/10197/3175 Publisher's statement þÿ T h i s i s t h e a u t h o r s v e r s i o n o f a w o r k t h a t w a s a c c e p t e d f o r p u b l i c a t i o n i n J o u r n a l o fHazardous Materials. Changes resulting from the publishing process, such as peer review, Abstract: In this paper, statistics-based experimental design with response surface methodology (RSM) was employed to investigate the effect of operation conditions on photoelectrocatalytic oxidation of fulvic acid (FA) using a Ti/TiO 2 electrode in a photoreactor. Initially, the Box-Behnken design was employed including the three key variables (initial pH, potassium peroxodisulphate (K 2 S 2 O 8 ) and bias potential). Thereafter, the mutual interaction and effects between these parameters and optimum conditions were obtained in greater detail by means of SAS and Matlab software. The results of this investigation reveal that: (1) the regression analysis with R 2 value of 0.9754 shows a close fit between the experimental results and the model predictions; (2) three-dimension response surface plot can provide a good manner for visualizing the parameter interactions; and (3) the optimum pH, K 2 S 2 O 8 and bias potential is found to be 3.8, 88.40mg/L, 0.88V respectively and the highest FA removal efficiency of 57.1% can be achieved.

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“…Correlation coefficient needs to be at a minimum of 0.80 for a good fit of model (Abu Amr et al 2014). A high R 2 value (closer to 1) demonstrates good accordance between the calculated and observed results within the range of experiment and shows that a desirable and reasonable agreement with adjusted R 2 is necessary (Nordin et al 2004;Abu Amr et al 2014). The range in predicted response relative to its associated error can be measured by adequate precision.…”

Section: Resultsmentioning

confidence: 78%

Coagulation of landfill leachate by FeCl3: process optimization using Box–Behnken design (RSM)

Kumar

Bishnoi

2015

Appl Water Sci

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FeCl 3 coagulation was used to achieve maximum reduction of COD, phosphate, sulfate and color and process optimization (FeCl 3 dosage, pH, reaction time) was done by BBD-RSM. Responses were recorded in terms of EC, COD, phosphate, color and sulfate removal. Variables A (pH) and B (reaction time) were negatively related to removal of COD and phosphate, whereas, C (FeCl 3 dosage) was positive in case of COD removal and negative for phosphate removal. pH and coagulant dosage had negative relationship with color removal; however, reaction time showed positive relationship. In case of percent sulfate removal, variable A (pH) demonstrated negative relationship whereas B (reaction time) and C (FeCl 3 dosage) were found to be positively related. Numerical optimization of the model revealed a maximum reduction of 71, 93, 86 and 99.6 % COD, phosphate, color and sulfate at optimal FeCl 3 dosage = 3 g/l, pH 8, and reaction time = 95 min.

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Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel

Cited by 633 publications

References 12 publications

Aplikasi Response Surface Methodology Pada Optimalisasi Kondisi Proses Pengolahan Alkali Treated Cottonii (ATC)

Aplikasi Response Surface Methodology Pada Optimalisasi Kondisi Proses Pengolahan Alkali Treated Cottonii (ATC)

Optimising photoelectrocatalytic oxidation of fulvic acid using response surface methodology

Coagulation of landfill leachate by FeCl3: process optimization using Box–Behnken design (RSM)

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