To DoE or not to DoE? A Technical Review on &amp; Roadmap for Optimisation of Carbonaceous Adsorbents and Adsorption Processes

Gorbounov, Mikhail; Taylor, Jess; Petrovic, Ben; Soltani, Salman Masoudi

doi:10.1016/j.sajce.2022.06.001

Cited by 14 publications

(7 citation statements)

References 58 publications

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“…The most commonly used BBD array is the L15, which involves conducting fifteen experiments with three centre-point repetitions 74 . A graphical representation of the BBD combinations is shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

Ironing process optimization for enhanced properties in material extrusion technology using Box–Behnken Design

Alzyod,

Ficzere

2024

Sci Rep

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Material Extrusion (MEX) technology, a prominent process in the field of additive manufacturing (AM), has witnessed significant growth in recent years. The continuous quest for enhanced material properties and refined surface quality has led to the exploration of post-processing techniques. In this study, we delve into the ironing process as a vital processing step, focusing on the optimization of its parameters through the application of Design of Experiments (DoE), specifically the Box–Behnken Design (BBD). Through a systematic examination of ironing process parameters, we identified optimal conditions that resulted in a substantial reduction in surface roughness (Ra) by approximately 69%. Moreover, the integration of optimized ironing process parameters led to remarkable improvements in mechanical properties. For instance, the Ultimate Tensile Strength (UTS) saw a substantial improvement of approximately 29%, while the compressive strength (CS) showed an increase of about 25%. The flexural strength (FS) witnessed a notable enhancement of around 35%, and the impact strength (IS) experienced a significant boost of about 162%. The introduction of ironing minimizes voids, enhances layer bonding, and reduces surface irregularities, resulting in components that not only exhibit exceptional mechanical performance but also possess refined aesthetics. This research sheds light on the transformative potential of precision experimentation, post-processing techniques, and statistical methodologies in advancing Material Extrusion technology. The findings offer practical implications for industries requiring high-performance components with structural integrity and aesthetic appeal.

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Section: Methodsmentioning

confidence: 99%

Ironing process optimization for enhanced properties in material extrusion technology using Box–Behnken Design

Alzyod,

Ficzere

2024

Sci Rep

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“…Fortunately, response surface methodology (RSM) can yield the required outcomes whilst minimizing the number of resources utilized. In addition, the interaction between the variables could be obtained, allowing for an in-depth understanding of the process and identification of the "key roles" [28]. Therefore, in the following part, a central composite design (CCD) of three variables with five levels is selected, employing the Design Expert software program (V10).…”

Section: Interactive Effect Of Variables On Ice Adhesion Strengthmentioning

confidence: 99%

An Experimental Study on Adhesion Strength of Offshore Atmospheric Icing on a Wind Turbine Blade Airfoil

Guo

et al. 2023

Coatings

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When wind turbines work in a cold and humid environment, especially offshore condition, ice accretion on the blade surfaces has a negative effect on the aerodynamic performance. In order to remove the ice from the wind turbine blade, the adhesive characteristics of atmospheric icing on the blade surface should be mastered under various conditions. The objective of this study is to evaluate the effects of offshore atmospheric conditions, including wind speeds, ambient temperatures and, especially, the salt contents on ice adhesion strength for wind turbine blades. The experiments were conducted on a NACA0018 blade airfoil under conditions including an ambient temperature of −3 °C~−15 °C, wind speed of 6 m/s~15 m/s and salt content of 1~20 mg/m3. The results showed that salt content was the most important factor affecting the ice adhesion strength, followed by ambient temperature and wind speed. The interactive effect of wind speed and salt content, ambient temperature and salt content were extremely significant. The research can provide a reference for the anti-icing for offshore wind turbines.

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“…Optimization process is traditionally carried out by the one factor at time approach (OFAT) 8 , 9 . In this technique one factor is studied at a time while the other factors are kept constant 9 . Hence, this approach is a time-consuming where the factors must be optimized one by one.…”

Section: Introductionmentioning

confidence: 99%

“…Despite that, little studies have been performed on myco-synthesis of zero valent iron nanoparticles.Thus, the present study has focused on the use of fungi in green synthesis of magnetic iron nanoparticles. Moreover, this study has investigated how to optimize some parameters in the production process to enhance their productivity.Optimization process is traditionally carried out by the one factor at time approach (OFAT) 8,9 . In this technique one factor is studied at a time while the other factors are kept constant 9 .…”

mentioning

confidence: 99%

“…Moreover, such method ignores the mutual interaction which possibly occurs between the tested factors. Therefore, quality professionals prefer to use other statistically based methods such as design of experiment (DOE) methods 8,9 which can estimate both the main effect and the interaction between the tested factors [9][10][11][12] . Response surface methodology is one of such statistically designs that generates a response surface map and estimates how to move the process to the optimum location 8 .…”

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confidence: 99%

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Optimization of magnetic nano-iron production by Aspergillus flavipes MN956655.1 using response surface methodology and evaluation of their dye decolorizing and antifungal activities

Abdullah

2022

Sci Rep

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Iron nanoparticles have been biosynthesized by a new Aspergillus flavipes isolate. Size of biosynthesized iron nanoparticles was in a range of 32.7 and 47.6 nm, their surface charge was − 33.5 ± 5.3 and they showed semihard ferromagnetic behavior. Salt concentration, volume of added culture filtrate and pH have been optimized using response surface methodology. A significant effect for the added culture filtrate and a mutual interaction between this factor and the pH has been detected. Model validation results showed 3.3% deviation from the statistically predicted values which reflects the accuracy of the employed model. Optimization process has increased the quantity of iron in the prepared samples and the amount of produced iron nanoparticles to a fourfold. The optimized conditions have stimulated the formation of nanoparticles in a tetrahedron shape rather than the truncated tetrahedron shape without affecting their size or surface charge. The biosynthesized iron nanoparticles have recorded a good decolorization activity for methylene blue. They showed 57 ± 4.3 decolorization percent after 6 h when tested with only 0.1 mg/ml concentration. Moreover, 50 ppm concentration has exerted a detectable antifungal activity against Alternaria solani. This study represents a new competitive green synthesis method for magnetic iron nanoparticle.

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To DoE or not to DoE? A Technical Review on & Roadmap for Optimisation of Carbonaceous Adsorbents and Adsorption Processes

Cited by 14 publications

References 58 publications

Ironing process optimization for enhanced properties in material extrusion technology using Box–Behnken Design

Ironing process optimization for enhanced properties in material extrusion technology using Box–Behnken Design

An Experimental Study on Adhesion Strength of Offshore Atmospheric Icing on a Wind Turbine Blade Airfoil

Optimization of magnetic nano-iron production by Aspergillus flavipes MN956655.1 using response surface methodology and evaluation of their dye decolorizing and antifungal activities

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