Optimization of tannin extraction from coconut coir through response surface methodology

Sirisangsawang, Rinlada; Phetyim, Natacha

doi:10.1016/j.heliyon.2023.e13377

Cited by 9 publications

(4 citation statements)

References 32 publications

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“…RSM uses empirical modeling of polynomials and linear equations to build a relationship among selected input variables and measured response factors in the experiments (Lakshmikanthan et al , 2023). RSM is a preferred technique in industrial cases where many input parameters controlled by the engineer can potentially influence the response parameters of the machining process (Faisal et al , 2023). RSM uses a sequential approach in which a first-order model [represented by equation (1)] is followed by a second-order model [equation (2)] to explore the input factor space: where Xi and Xj are the independent variables, β0 is constant and βi , βii and βij are coefficients of linear, quadratic and cross-product terms, respectively.…”

Section: Experimentation Detailsmentioning

confidence: 99%

“…The desirability technique under RSM has been demonstrated to be a successful method for low-error parametric optimization of the input machine data (Thirumalaikkannan et al , 2023). Faisal et al (2023) optimized turning input parameters for aluminum alloy (AA1100) using the RSM approach and recommended the best turning parameter combinations as: depth of cut (DOC) = 0.1 mm, feed rate (f) = 0.2 to 0.25 mm/rev and spindle speed (SS) = 1,300 to 1,500 rpm, that resulting in a higher tool life > 20 min. Similarly, Lakshmikanthan et al (2023) also used RSM and observed cutting speed as the most crucial factor for surface roughness during the turning of aluminum alloy (LM13) metal matrix composite.…”

Section: Introductionmentioning

confidence: 99%

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Parametric optimization to establish eco-friendly nanofluid minimum quantity lubrication (NMQL) practice for turning superalloy Inconel 718

Singh

2024

ILT

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Purpose The purpose of this paper, an experimental study, is to investigate the optimal machining parameters for turning of nickel-based superalloy Inconel 718 under eco-friendly nanofluid minimum quantity lubrication (NMQL) environment to minimize cutting tool flank wear (Vb) and machined surface roughness (Ra). Design/methodology/approach The central composite rotatable design approach under response surface methodology (RSM) is adopted to prepare a design of experiments plan for conducting turning experiments. Findings The optimum value of input turning parameters: cutting speed (A), feed rate (B) and depth of cut (C) is found as 79.88 m/min, 0.1 mm/rev and 0.2 mm, respectively, with optimal output response parameters: Vb = 138.633 µm and Ra = 0.462 µm at the desirability level of 0.766. Feed rate: B and cutting speed: A2 are the leading model variables affecting Vb, with a percentage contribution rate of 12.06% and 43.69%, respectively, while cutting speed: A and feed rate: B are the significant factors for Ra, having a percentage contribution of 38.25% and 18.03%, respectively. Results of validation experiments confirm that the error between RSM predicted and experimental observed values for Vb and Ra is 3.28% and 3.75%, respectively, which is less than 5%, thus validating that the formed RSM models have a high degree of conformity with the obtained experimental results. Practical implications The outcomes of this research can be used as a reference machining database for various metal cutting industries to establish eco-friendly NMQL practices during the turning of superalloy Inconel 718 to enhance cutting tool performance and machined surface integrity. Originality/value No study has been communicated till now on the turning of Inconel 718 under NMQL conditions using olive oil blended with multi-walled carbon nanotubes-based nanofluid. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2023-0317/

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Section: Experimentation Detailsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Parametric optimization to establish eco-friendly nanofluid minimum quantity lubrication (NMQL) practice for turning superalloy Inconel 718

Singh

2024

ILT

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“…Hence, the production of low-cost activated carbon from biomass waste, such as coffee peels (Figueroa Campos et al, 2021) , corn cobs (Medhat et al, 2021) , rice straw (Khoshnood Motlagh et al, 2022) , wheat straw (Zhang et al, 2022a) , and coconut shells (Keppetipola et al, 2021) , has garnered significant attention. When coconut waste is not optimally utilized, its production leads to the creation of shell waste (Darmawan et al, 2022) and fibers (Wang et al, 2022b) , which can be utilized in various industries such as coconut oil (Suryani et al, 2020) , coconut fiber (Sirisangsawang and Phetyim, 2023) , and coconut desiccation (Marques et al, 2019) . The typical makeup of coconut shells, which are an agricultural industrial waste and a natural source of fiber, typically consists of cellulose, hemicellulose, and lignin (Anuchi et al, 2022;Fatmawati et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Preparation of PAN/PVDF Nanofiber Mats Loaded with Coconut Shell Activated Carbon and Silicon dioxide for Lithium-Ion Battery Anodes

Almafie,

Dani,

Riyanto

et al. 2024

Sci. Technol. Indones

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Utilizing carbon materials derived from natural biomass holds significant promise for battery applications, owing to their low cost, abundant availability, and environmentally sustainable characteristics. However, graphite anode materials do not meet the demands of efficient batteries. Coconut shell waste has the potential to be used as activated carbon in energy storage anodes. By adding silicon dioxide (SiO2) to maintain structural stability and electrochemical reaction kinetics, the advantages of CCS can be maximized. Polyacrylonitrile/polyvinylidene fluoride (PAN/PVDF) composite polymer was used as a matrix to embed CCS/SiO2 and synthesize nanofibers via electrospinning. The resulting nanofibers had diameters ranging from to 575–707 nm, with cross-linked, porous, and beadless characteristics. Mechanical properties were measured by single-fiber micro tensile tests. The young modulus, tensile strength, and toughness of each nanofiber were successfully maintained at 13.7 ± 0.4 MPa, 34.4 ± 0.1 MPa, and 982 ± 10 kJ/m3, respectively, because of the presence of a β-crystal growth layer that facilitated efficient stress transmission. The reduction-oxidation process response had a potential difference of less than 1.286 V in the first cycle, whereas for the third and fifth cycles, it was maintained below 3.416 V. The lithium-ion diffusion coefficient was below 4.73×1013 cm2/s. Using the anode directly, as in lithium-ion batteries, provided a high capacity of 382 mAh/g after 200 cycles. Good cycle stability, with over 98% retention of the initial capacitance after 200 charge/discharge cycles, underscores its potential for application in lithium-ion batteries.

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“…In conventional experiment by following the method of one variable at a time (OVAT), all variables are kept constant and by changing one parameter, its optimal point is obtained. Since this method cannot simultaneously examine the effect of variables on the response, it has problems, because it only considers the response to changes in individual variables 24 , 25 . Since the one variable method is expensive and time-consuming to optimize the effecting parameters, the surface response method is recommended to optimize the parameters.…”

Section: Introductionmentioning

confidence: 99%

Optimization of thorium solvent extraction process from feed solution with Cyanex 272 by response surface methodology (RSM)

Khanramaki,

Keshtkar

2024

Sci Rep

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Due to the limited reserves of uranium, the abundance of thorium compared to it and other advantages, the development of the thorium fuel cycle is of interest in different countries. The optimization of thorium extraction from a feed solution produced by Saghand ore with bis(2,4,4-trimethylpentyl) phosphinic acid (Cyanex 272) on a laboratory scale was evaluated by response surface method. The operating variables include Cyanex 272 concentration of 0.001 to 0.2 mol/L, pH of 0 to 2, equilibrium time of 5 to 60 min and aqueous to organic phase ratio of 0.5 to 2.5 were conducted. The value of R2 = 0.9695 and an error of less than 4% indicate the validity of the model. Therefore, the model is in good agreement with the experimental results. It can be said that there are significant interactions between operational parameters, which vindicate different feedbacks of the system in different operational conditions. The results showed that the 4 mol/L sulfuric acid was a suitable agent for recovering thorium ions from the loaded organic phase. In optimum conditions, the thorium purity percentage and thorium stripping efficiency were obtained 98.99 and 94.12%, respectively.

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Optimization of tannin extraction from coconut coir through response surface methodology

Cited by 9 publications

References 32 publications

Parametric optimization to establish eco-friendly nanofluid minimum quantity lubrication (NMQL) practice for turning superalloy Inconel 718

Parametric optimization to establish eco-friendly nanofluid minimum quantity lubrication (NMQL) practice for turning superalloy Inconel 718

Preparation of PAN/PVDF Nanofiber Mats Loaded with Coconut Shell Activated Carbon and Silicon dioxide for Lithium-Ion Battery Anodes

Optimization of thorium solvent extraction process from feed solution with Cyanex 272 by response surface methodology (RSM)

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