scholarly journals Factors affecting ultimate tensile strength and impact toughness of 3D printed parts using fractional factorial design

2022 ◽  
Author(s):  
Amna Mazen ◽  
Brendan McClanahan ◽  
Jonathan M. Weaver
Keyword(s):  
Tensile Strength ◽  
Ultimate Tensile Strength ◽  
Impact Toughness ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Factors Affecting ◽  
3D Printed

scholarly journals Factors Affecting Ultimate Tensile Strength and Impact Toughness of 3D Printed Parts Using Fractional Factorial Design

2021 ◽  
Author(s):  
Amna Mazen ◽  
Brendan McClanahan ◽  
Jonathan M. Weaver
Keyword(s):  
Tensile Strength ◽  
Ultimate Tensile Strength ◽  
Impact Toughness ◽  
Fractional Factorial ◽  
Regression Equations ◽  
Factors Affecting ◽  
Horizontal Part ◽  
3D Printed ◽  
The Impact ◽  
Part Orientation

Abstract This paper aims to investigate the mechanical properties of spec- imens printed by 3D open-source printers. It discusses the effect of five fac- tors (part/print orientation, layer height, extrusion width, nozzle diameter, and filament temperature) on the ultimate tensile strength and the impact toughness of the 3D-printed samples. A 2 6-1 resolution V fractional factorial experiment was run with the 16 samples printed on a Prusa I3 MK3S in PLA. Tensile strength and impact toughness were tested using Instron 3367 and Tinius Olsen 66 testers, respectively. In analyzing the data, a normal proba- bility plot complimented with ANOVA (Analysis Of Variance) revealed that only part/print orientation was statistically significant at p = 0.05. Regression equations were used to predict the ultimate tensile strength and the impact toughness as a function of the part/print orientation. Both the toughness re- sponse and the tensile strength response are maximized with horizontal part orientation. Verification experiments have been implemented to validate the adopted regression equations’ predictions under different circumstances and the results of those experiments appear to confirm the model.

scholarly journals SCREENING OF FACTORS INFLUENCING EXO-POLYGALACTURONASE PRODUCTION BY ASPERGILLUS NIGER ATCC 120120 USING TWO-LEVEL FRACTIONAL FACTORIAL DESIGN

2019 ◽  
Vol 81 (6) ◽  
Author(s):  
Halifah Pagarra ◽  
Roshanida A. Rahman ◽  
Rachmawaty ◽  
Nor Hasmaliana Abdul Manas
Keyword(s):  
Aspergillus Niger ◽  
Moisture Content ◽  
Factorial Design ◽  
Incubation Time ◽  
Fractional Factorial Design ◽  
Inoculum Size ◽  
Fractional Factorial ◽  
Coefficient Of Determination ◽  
Screening Process ◽  
Factors Affecting

Exo-polygalacturonase was produced by Aspergillus niger ATCC 120120 in a solid-state fermentation using Nephrolepis biserrata leaves. Factors affecting the production of exo-polygalacturonase were determined using a two-level fractional factorial design. The screening process for six factors; pH, incubation time, temperature, pectin concentration, inoculum size and moisture content, that influence the production of exo-polygalacturonase by A. niger was performed. The result of variance analysis (ANOVA) suggested that there were four statistically significant (P < 0.005) factors in the production of exo-polygalacturonase by A. niger. These factors were incubation time, temperature, pectin concentration and moisture content. The statistical analysis shows that the linear mathematical model is significant with coefficient of determination (R2) value of 0.9711. The optimum production of exo-polygalacturonase obtained using the model in this study was at 40.00 U/g.

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.

Sign in / Sign up

Export Citation Format

Share Document