scholarly journals Methodology to control the influence of processing factors during composite stone fabrication

2015 ◽  
Vol 68 (1) ◽  
pp. 69-75
Author(s):  
Fernando Soares Lameiras ◽  
Glaucia Danielle Leirose da Silva
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Compaction Pressure ◽  
Fractional Factorial ◽  
Adhesion Promoter ◽  
Surface Response Methodology ◽  
Response Variable ◽  
23 Factorial Design ◽  
Polymer Resin ◽  
Processing Factors

Composite stone is made of crushed materials bound by a polymer resin. A design of experimental techniques was used to evaluate the influence of factors (resin type, use of adhesion promoter, compaction pressure, vibration duration, use of a vacuum, and cure program) on the manufacturing of composite stone. The response variable was flexural strength. A 2IV6-2 fractional factorial design with five replications was initially used, which showed that resin type, use of adhesion promoter, and a cure program were factors of significant influence, as well as the interaction between them and the interaction between the resin type and the use of adhesion promoter. The data was re-arranged into a full 23 factorial design with ten replications to calculate the influence of these factors. The lack of influence of the other factors suggests that lower pressures should be used to improve the process by employing the surface response methodology.

scholarly journals FACTORIAL ANALYSIS ON PROCESSING FACTORS FOR NITROGEN, PHOSPHORUS AND POTASSIUM CONTENTS IN MUSHROOM WASTE

2017 ◽  
Vol 1 (1) ◽  
pp. 42-56
Author(s):  
Norazwina Zainol ◽  
Muhammad Faiz Mohamed Ameen ◽  
Sunarti Abdul Rahman ◽  
Muhammad Adib Rinalto ◽  
Nur Syahirah Muhammad Nor
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Building Blocks ◽  
Fractional Factorial ◽  
Affecting Factors ◽  
Agriculture Industry ◽  
Minimum Number ◽  
Interaction Factors ◽  
Phosphorus And Potassium ◽  
Processing Factors

The agriculture industry relies heavily on the use of bio-fertilizer and the main components in bio-fertilizer are nitrogen (N), phosphorous (P), and potassium (K). Thus, a study was conducted to identify the N, P, and K contents in mushroom waste (MW). These components are numerous building blocks that plants need for healthy growth. Therefore, by increasing the N, P and K contents in MW, it can be utilized to produce high and better quality of bio-fertilizer. Five independent factors, i.e., aging of waste (fresh 0 day & aged 14 days), waste pH (7 & 8.5), composition [MW only & mixture of MW & spent medium (SM)], technique of drying (oven 50 °C & sunlight), and MW size (powder & cut) were the affecting factors on N, P, and K contents in MW. A 25-1 fractional factorial design was used to investigate the effect of the independent factors as well as the interaction factors on the N, P, and K contents. The N, P, and K contents were measured using HACH spectrophotometer. The objective of this research is to identify the best combination of processing factors. Some of the independent factors were shown to have significant effects on the N, P and K contents. The results showed that the most significant factor in N content are MW size and aging of waste, while for P and K contents are technique of drying and MW size. The best condition was identified to maximize the amount of N, P, and K contents in MW. The identified conditions were the MW aged for 7 days, MW size at powder form, waste pH at 7, drying under sun light and the composition MW only. Based on the proposed best condition the N (12.08 mg/L), P (3.04 mg/L), and K (8.09 mg/L) contents were achieved. The results show that fractional factorial design was suitable in investigating the effect of a large number of factors with a minimum number of  experiments.

Optimization of PES Nanocomposite Membrane Preparation Using Statistical Analysis and Experimental Design

2019 ◽  
Author(s):  
Yasin Orooji ◽  
Fatemeh Noorisafa ◽  
Nahid Imami ◽  
Amir R. Chaharmahali
Keyword(s):  
Statistical Analysis ◽  
Experimental Design ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Nanocomposite Membrane ◽  
Membrane Preparation ◽  
Membrane Fabrication

<p>Using experimental design and statistical analysis (½ Fractional Factorial Design), this study investigates the effect of different parameters in the membrane fabrication on the performance of nanocomposite PES/TiO<sub>2</sub> membrane. </p>

scholarly journals Fabrication of a Silicide Thermoelectric Module Employing Fractional Factorial Design Principles

2021 ◽  
Author(s):  
Joachim S. Graff ◽  
Raphael Schuler ◽  
Xin Song ◽  
Gustavo Castillo-Hernandez ◽  
Gunstein Skomedal ◽  
...  
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Waste Heat ◽  
Thermoelectric Module ◽  
Fractional Factorial ◽  
Taguchi Methods ◽  
Dimensional Parameter ◽  
Cu Metallization ◽  
Manganese Silicide ◽  
And Performance

AbstractThermoelectric modules can be used in waste heat harvesting, sensing, and cooling applications. Here, we report on the fabrication and performance of a four-leg module based on abundant silicide materials. While previously optimized Mg2Si0.3Sn0.675Bi0.025 is used as the n-type leg, we employ a fractional factorial design based on the Taguchi methods mapping out a four-dimensional parameter space among Mnx-εMoεSi1.75−δGeδ higher manganese silicide compositions for the p-type material. The module is assembled using a scalable fabrication process, using a Cu metallization layer and a Pb-based soldering paste. The maximum power output density of 53 μW cm–2 is achieved at a hot-side temperature of 250 °C and a temperature difference of 100 °C. This low thermoelectric output is related to the high contact resistance between the thermoelectric materials and the metallic contacts, underlining the importance of improved metallization schemes for thermoelectric module assembly.

scholarly journals Producing Magnetic Nanocomposites from Paper Sludge for the Adsorptive Removal of Pharmaceuticals from Water—A Fractional Factorial Design

Nanomaterials ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 287
Author(s):  
Luciana S. Rocha ◽  
Érika M. L. Sousa ◽  
María V. Gil ◽  
João A. B. P. Oliveira ◽  
Marta Otero ◽  
...  
Keyword(s):  
Activated Carbon ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Metal Oxide Nanoparticles ◽  
Aqueous Media ◽  
Fractional Factorial ◽  
Paper Sludge ◽  
Synthesis Conditions ◽  
Adsorptive Removal ◽  
Iron Salts

In view of a simple after-use separation, the potentiality of producing magnetic activated carbon (MAC) by intercalation of ferromagnetic metal oxide nanoparticles in the framework of a powder activated carbon (PAC) produced from primary paper sludge was explored in this work. The synthesis conditions to produce cost effective and efficient MACs for the adsorptive removal of pharmaceuticals (amoxicillin, carbamazepine, and diclofenac) from aqueous media were evaluated. For this purpose, a fractional factorial design (FFD) was applied to assess the effect of the most significant variables (Fe3+ to Fe2+ salts ratio, PAC to iron salts ratio, temperature, and pH), on the following responses concerning the resulting MACs: Specific surface area (SBET), saturation magnetization (Ms), and adsorption percentage of amoxicillin, carbamazepine, and diclofenac. The statistical analysis revealed that the PAC to iron salts mass ratio was the main factor affecting the considered responses. A quadratic linear regression model A = f(SBET, Ms) was adjusted to the FFD data, allowing to differentiate four of the eighteen MACs produced. These MACs were distinguished by being easily recovered from aqueous phase using a permanent magnet (Ms of 22–27 emu g−1), and their high SBET (741–795 m2 g−1) were responsible for individual adsorption percentages ranging between 61% and 84% using small MAC doses (35 mg L−1).

Optimization of Magnesium Separation and Extraction from Boron Slurry Using Response Surface Methodology

2011 ◽  
Vol 366 ◽  
pp. 366-369
Author(s):  
Feng Gao ◽  
Rong Fu ◽  
Ming Yang Qian ◽  
Zhu Min Wang ◽  
Xiang Zhang
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Factorial Design ◽  
Response Surface ◽  
Reaction Temperature ◽  
Fractional Factorial Design ◽  
Design Criterion ◽  
Fractional Factorial ◽  
Effective Factors

Response surface methodology was used to optimize the soaking Mg leaching ratio from the boron slurry screened by 25 fractional factorial design. Five effective factors such as H2SO4 concentrations, reaction time, reaction temperature and stir velocity were tested by using 25 fractional factorial design criterion and three effective factors H2SO4 concentrations, reaction time and reaction temperature showed significant effect(P2SO4 concentrations of 0.29mol/l, reaction time of 90 min and reaction temperature of 50°C. Three runs of additional confirmation experiments were conducted. The mixture magnesium leaching value was 58.20%.

scholarly journals Adsorption of Pollutants from Aqueous Solutions Using Activated and Non-Activated Oak Shells: Parametric and Fractional Factorial Design Study. Part II. Removal of Phenol and Dyes

2003 ◽  
Vol 21 (2) ◽  
pp. 189-198
Author(s):  
Sameer Al-Asheh ◽  
Fawzi Banat ◽  
Rana Saeidi ◽  
Salam Abu Zaid
Keyword(s):  
Methylene Blue ◽  
Aqueous Solutions ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Sorption Process ◽  
Fractional Factorial ◽  
Phenol Concentration ◽  
Blue Dye ◽  
Batch Adsorption ◽  
Solution Ph

As in Part I, non-activated (natural) and chemically activated oak shells were evaluated for their ability to remove phenol and Methylene Blue (as a typical dye component) from aqueous solutions. Batch adsorption experiments were conducted to investigate the effect of contact time, sorbent concentration, phenol concentration and the pH of the solution on the sorption process. Activated oak shells adsorbed more phenol than natural oak shells under the same conditions. A decrease in sorbent concentration or an increase in phenol concentration or solution pH resulted in an increase in phenol uptake by the oak shells. The uptake of Methylene Blue increased with decreasing sorbent concentration and with an increase in the dye concentration, but decreased significantly with solution pH. According to the fractional factorial design technique, the sorbent type employed (natural or activated) had the most significant influence on phenol or Methylene Blue uptake followed by sorbent concentration and then sorbate concentration. Interaction amongst the different operating variables played an important role in the uptake of phenol or Methylene Blue dye by the adsorbent considered.

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