The Experimental Process Design of Artificial Lightweight Aggregates Using an Orthogonal Array Table and Analysis by Machine Learning

Wie, Young Min; Lee, Ki Gang; Lee, Kang Hyuck; Ko, Tae Sung; Lee, Kang Hoon

doi:10.3390/ma13235570

Cited by 10 publications

(3 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The application of statistical methods in the development of ceramic materials has been previously tested, successfully, by other authors who used approaches that included mixture experiments [ 12 ], response surface methodology, the fuzzy synthetic evaluation algorithm, second-order polynomial models [ 13 , 14 ], uniform design [ 15 ], and machine learning with linear regression, random forest, and support vector regression [ 16 ]. The work of Moreno-Maroto et al [ 11 ] corroborated the suitability of ME-DOE in the manufacture of ceramic aggregates, since such techniques had not been previously employed for these types of materials.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Role of Fe0 and Fe3+ in the Formation of Expanded Clay Aggregates

et al. 2023

View full text Add to dashboard Cite

The effect of the addition of Fe0 and Fe3+ on the formation of expanded clay aggregates was studied using iron-free kaolin as an aluminosilicates source. Likewise, the incorporation of cork powder as a source of organic carbon and Na2CO3 as a flux in the mixtures was investigated in order to assess its effect in combination with the iron phases. An experimental protocol, statistically supported by a mixture experiments/design of experiments approach, was applied to model and optimize the bloating index, density, absorption capacity, and mechanical strength. The process of expansion and pore generation and the associated decrease in density required the addition of iron, such that the optimum mixtures of these properties presented between 25 and 40 wt.% of Fe0 or Fe3+, as well as the incorporation of 3.5–5 wt.% of organic carbon. The addition of Fe3+ produced a greater volumetric expansion (max. 53%) than Fe0 (max. 8%), suggesting that the formation of the FeO leading to this phenomenon would require reducing and oxidizing conditions in the former and the latter, respectively. The experimental and model-estimated results are in good agreement, especially in the aggregates containing Fe0. This reinforces the application of statistical methods for future investigations.

show abstract

Section: Introductionmentioning

confidence: 99%

Analyzing the Role of Fe0 and Fe3+ in the Formation of Expanded Clay Aggregates

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Finally, through the analysis of variance and range analysis, we can determine the primary and secondary relationships of each factor. The main purpose is to seek the optimal level [ 22 ]. An orthogonal experimental design is a conventional method for experimental design, which was applied in this study to optimize the preparation conditions of osthol-loaded PBCA-NPs.…”

Section: Introductionmentioning

confidence: 99%

Design, Preparation, and Evaluation of Osthol Poly-Butyl-Cyanoacrylate Nanoparticles with Improved In Vitro Anticancer Activity in Neuroblastoma Treatment

Zheng

Li-xia

et al. 2022

Molecules

View full text Add to dashboard Cite

Osthol (osthole), known as a neuroprotective drug, has shown potent anticancer activity. However, the potential clinical application of osthol is limited due to its low water solubility and low bioavailability. Polybutyl cyanoacrylate (PBCA) has been widely used to improve the solubility of drugs with poor water solubility. In this study, an orthogonal experimental design (OED) was applied to design the preparation process of PBCA nanoparticles (NPs). Then, nanoparticles were prepared and evaluated in terms of physicochemical properties, in vitro release, and cellular uptake, etc. Further, the anti-cancer activity of osthol-PBCA NPs was demonstrated in SH-SY5Y cells. The pharmacokinetics and area under the curve (AUC) were investigated. The obtained osthol-NPs presented a spherical shape with a particle size of 110 ± 6.7 nm, a polydispersity index (PDI) of 0.126, and a zeta potential of −13 ± 0.32 mV. Compared with the free osthol, the drugs in osthol-NPs presented better stability and sustained release pattern activity. In vitro analysis using SH-SY5Y neuroblastoma cells showed that osthol-loaded nanoparticles displayed a significantly enhanced intracellular absorption process (three times) and cytotoxicity compared with free osthol (p < 0.05, increased 10–20%). The in vivo pharmacokinetic study revealed that the AUC of osthol-NPs was 3.3-fold higher than that of free osthol. In conclusion, osthol-PBCA NPs can enhance the bioactivity of osthol, being proposed as a novel, promising vehicle for drug delivery.

show abstract

“…In "The Experimental Process Design of Artificial Lightweight Aggregates Using an Orthogonal Array Table and Analysis by Machine Learning" [4], the results of a research aimed to experimentally design the drying, calcination and sintering processes of artificial lightweight aggregates are reported. This is achieved through the orthogonal array, to expand the data using the results, and to model the manufacturing process of lightweight aggregates through machine-learning techniques.…”

mentioning

confidence: 99%