Modelling and optimization of process variables for the solution polymerization of styrene using response surface methodology

Owolabi, R. U.; Usman, Mohammed Awwalu; Kehinde, Abiola John

doi:10.1016/j.jksues.2015.12.005

Cited by 50 publications

(38 citation statements)

References 43 publications

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“…However, the acceptable difference between the act-R 2 and the adj-R 2 should be less than 0.2 [40]. Statistically, a high adj-R 2 (>0.75) is acceptable [46]. The selected model in terms of the coded and actual values are provided in Equations (4) and (5), respectively.…”

Section: Regression Models and Statistical Testingmentioning

confidence: 99%

Ion Exchange Dialysis for Aluminium Transport through a Face-Centred Central Composite Design Approach

et al. 2020

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An ion exchange dialysis (IED) is used in the recovery of aluminium from residue. In this paper, the face-centred central composite design (FC-CCD) of the response surface methodology (RSM) and desirability approach is used for experimental design, modelling and process optimization of a counter flow IED system. The feed concentration, feed flowrate, sweep flowrate and sweep concentration were selected as the process variables, with the Al transport across a Nafion 117 membrane as the target response. A total of 30 experimental runs were conducted with six centre points. The response obtained was analysed by analysis of variance (ANOVA) and fitted to a second-order polynomial model using multiple regression analysis. The actual R2 and standard deviation of the model are 0.9548 and 0.2932, respectively. Depending on the time zone of reference (24 h or 32 h), the highest enrichment of >1.50 was achieved. The designed variables were numerically optimized by applying the desirability function to achieve the maximum Al transport. The optimised condition values were found to be a feed concentration of 1600 ppm, feed flowrate of 61.76%, sweep flowrate of 37.50% and sweep concentration of 0.75 N for the 80% target response at 32 h. Overall, the model can be used to effectively predict Al recovery using the designed system.

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Section: Regression Models and Statistical Testingmentioning

confidence: 99%

Ion Exchange Dialysis for Aluminium Transport through a Face-Centred Central Composite Design Approach

et al. 2020

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“…However, the acceptable difference between the act-R 2 and the adj.R 2 should be less than 0.2 [39]. Statistically, a high adj.R 2 (>0.75) is acceptable [45]. The selected model in terms of the coded and actual values are provided in Equations (4) and (5) respectively.…”

Section: Regression Models and Statistical Testingmentioning

confidence: 99%

Ion Exchange Dialysis for Aluminium Transport through a Face Centered Central Composite Design Approach

Asante-Sackey¹,

Rathilal²,

Pillay³

et al. 2019

Preprint

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An ion exchange dialysis (IED) is used in the recovery of aluminium from residue. In this papers, the face-centered central composite design (FC-CCD) of the response surface methodology (RSM) and desirability approach is used for experimental design, modelling and process optimization of a counter flow IED system. The feed concentration, feed flowrate, sweep flowrate and sweep concentration are selected as the process variables, with the Al-transport across a Nafion 117 membrane as the target response. A total of 30 experimental runs were conducted with 6 center points. The response obtained was analysed by analysis of variance (ANOVA) and fitted to a second-order polynomial model using multiple regression analysis. The actual R 2 and standard deviation of the model are 0.9548 and 0.2932 respectively. The influences of significant variables are plotted on 3D surface and contour plots. The designed variables were numerically optimized by applying the desirability function to achieve the maximum Al-transport. The optimised condition values were found to be feed concentration (1600 ppm), feed flowrate (61.76%), sweep flowrate (37.50%) and sweep concentration (0.75 N) for the 80% target response at 32hrs. Overall, the model can be used to effectively predict Al-recovery using the designed system.

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“…Only 4.98% of the total variation was not explained by the present model. According to Owolabi et al (2018), adjusted determination coefficient (Radj 2 ) and predicted determination coefficient (Rpred 2 ) should be within 20% to be in good agreement. This requirement is satisfied in this study with a Radj 2 value of 91.45% and Rpred 2 value of 78.03%.…”

Section: Sliding Wear Tests Of the Ss/pvc Compositesmentioning

confidence: 99%

Wear Properties of Wood-plastic Composites Pretreated with a Stearic Acid-palmitic Acid Mixture before Exposure to Degradative Water Conditions

Jiang

et al. 2018

BioResources

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Wood-plastic composites (WPCs) are experiencing rapid growth in terms of applications where they may be subject to degradation and wear. This paper investigated the effect of sorghum straw (SS) fiber, pretreated with a mixture of stearic and palmitic acids, on the wear behaviors of polyvinyl chloride (PVC) composites in alternated simulated sea water and acid rain aqueous conditions. The results showed that the water resistance of the SS/PVC composites improved noticeably after pretreatment with 0.80 wt% stearic and 0.50 wt% palmitic acid (0.8SA-0.5PA). The SS/PVC composites pretreated with 0.8SA-0.5PA exhibited high water (moisture) resistance, hardness, mechanical, thermal, and wear resistance properties. Exposure to degradative water worsened interfacial bonding, and degraded the matrix strength and heat resistance, which reduced the wear resistance of the SS/PVC composites. The wear mechanism of the SS/PVC composites after 12 d of soaking was abrasive wear.

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Modelling and optimization of process variables for the solution polymerization of styrene using response surface methodology

Cited by 50 publications

References 43 publications

Ion Exchange Dialysis for Aluminium Transport through a Face-Centred Central Composite Design Approach

Ion Exchange Dialysis for Aluminium Transport through a Face-Centred Central Composite Design Approach

Ion Exchange Dialysis for Aluminium Transport through a Face Centered Central Composite Design Approach

Wear Properties of Wood-plastic Composites Pretreated with a Stearic Acid-palmitic Acid Mixture before Exposure to Degradative Water Conditions

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