Doehlert uniform shell designs and chromatography

Araujo, Pedro; Janagap, Steve

doi:10.1016/j.jchromb.2012.05.019

Cited by 29 publications

(12 citation statements)

References 61 publications

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“…Surprisingly, while this method is not commonly used in AM studies, it is well known in other fields like chromatography. 27 Existing models are essentially focused on the mechanical optimization of neat polymers, while nano-filled polymers can also be used to compensate for the previously cited loss of mechanical performance, 2,28 and to help functionalize the materials 29 or ease the processability. 30 However, filled polymers are known to be stiffer than neat polymer, especially while additively manufactured, and need to compensate the lack of ductility with an optimization of the process.…”

Section: Introductionmentioning

confidence: 99%

Influence of fused filament fabrication parameters on tensile properties of polylactide/layered silicate nanocomposite using response surface methodology

Ginoux

Vroman

Alix

2020

J of Applied Polymer Sci

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This study aimed at assessing and optimizing the influence of printing speed and extrusion temperature in a fused filament fabrication (FFF) process on the tensile properties of a polylactide/layered silicate nanocomposite. Mathematical models using Doehlert designs were formulated to examine factor and interaction effects. The models were corroborated by measurements using capillary rheology, tomographic images, and crystallinity analyses to find physical explanations for the differences in tensile properties. The tensile properties were a non-monotonic function of printing speed, which may be due to various deposition defects that influence the porosity of composite tensile specimens. This study provides new insights into FFF process optimization regarding rheological behavior and mesostructure of nanocomposite by highlighting new modes of deposition defects that originate from process parameter settings and materials. The results contribute to the properties mastery of FFF-processed materials.

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Section: Introductionmentioning

confidence: 99%

Influence of fused filament fabrication parameters on tensile properties of polylactide/layered silicate nanocomposite using response surface methodology

Ginoux

Vroman

Alix

2020

J of Applied Polymer Sci

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“…It is noticed that D-optimal designs are now becoming more popular and particularly useful when the factor space is not uniformly accessible (when combinations of solvent composition and solute concentration are not possible) and/or there is a constraint on the total number of experiments that can be done [15]. Doehlert uniform shell designs have been implemented in LC analysis for the development and improvement of sample preparation by exploring up to four factors and the optimization of specific instrumental parameters by exploring up to three factors [16].…”

Section: Methods Development and Validationmentioning

confidence: 99%

Introductory Chapter: Mathematical Methods in Liquid Chromatography - The State-of-the-Art Developments and Challenges

Hoang¹

2019

Chemometrics and Data Analysis in Chromatography

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“…Doehlert's Design describes a circular area for two variables and its matrix consists of a central point and six additional points forming a regular simplex. The Doehlert matrices are pre-established and their constructions require smaller number of experiments when compared to other plans (Araujo & Janagap, 2012;Ennaciri, Baçaoui, Sergent, & Yaacoubi, 2014).…”

Section: Introductionmentioning

confidence: 99%

Correlation analysis of the roughness as function of cutting speed and feed rate (the roughness as function of machining parameters)

et al. 2019

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Experimental evaluations based on statistical and scientific criteria play fundamental role in identification of optimal performance parameters in manufacturing engineering. Based on this premise, the Doehlert's experimental planning method was applied to external cylindrical turning process of ABNT 1045 steel, with the purpose of determining the roughness correlation as a function of the cutting speed (Vc) and feed rate (f). The Doehlert's matrix was defined with five levels for feed rate and three levels for cutting speed, according to coded variables. From these experiments the correlation between input and output variables was determined. The best model is in agreement with the analysis of variance and Fischer's test. Graphs were obtained for both response and contour surfaces. In addition, the optimal point for the best model was determined by the Lagrange criterion, which corresponds to a feed rate (f) of 0.0880 mm rev-1 and the cutting speed (Vc) of 155 mm min.-1 , resulting in a minimum roughness average value (Ra) equals to 0.8916 μm.

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Doehlert uniform shell designs and chromatography

Cited by 29 publications

References 61 publications

Influence of fused filament fabrication parameters on tensile properties of polylactide/layered silicate nanocomposite using response surface methodology

Influence of fused filament fabrication parameters on tensile properties of polylactide/layered silicate nanocomposite using response surface methodology

Introductory Chapter: Mathematical Methods in Liquid Chromatography - The State-of-the-Art Developments and Challenges

Correlation analysis of the roughness as function of cutting speed and feed rate (the roughness as function of machining parameters)

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