Printability and efflorescence control of admixtures modified 3D printed white Portland cement-based materials based on the response surface methodology

Purpose: This work aims to study the relationship between various processing parameters to fabricate PLA-graphene based 3D parts with high mechanical properties. The selected parameters in this study are known for their critical impact on the final properties of printed parts. Design/methodology/approach: Three key printing parameters are simultaneously studied in a systematic manner using central composite design (CCD). The selected printing parameters are printing temperature, printing speed, and layer thickness. Findings: Through a variance analysis, all tested printing parameters significantly impact the final properties of printed PLA-graphene’s parts. A response surface methodology (RSM) was also applied to analyse the results and to optimize the tensile and the flexural properties. According to this latter methodology, the optimum factor levels are found at 200°C printing temperature, 34.65 mm s-1 printing speed and 0.2 mm layer thickness. Research limitations/implications: Results indicate that layer thickness and printing speed are the dominant contributors to tensile and flexural properties. Originality/value: As one of the few polymers loaded with nanoparticles available, polylactic acid (PLA) reinforced graphene was selected in this study as a base material for FFF 3D printing process. A response surface methodology was applied to analyse the results and to maximize the tensile and flexural properties of 3D printed PLA-graphene composite.

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Employment of Response Surface Methodology for Optimization of the Portland Cement Mechanical Resistance

Materials Science Forum ◽

10.4028/www.scientific.net/msf.775-776.547 ◽

2014 ◽

Vol 775-776 ◽

pp. 547-552

Author(s):

Danielle Nascimento Silva Oliveira ◽

Gelmires Araújo Neves ◽

Ulisses Targino Bezerra ◽

Alexsandra C. Chaves ◽

B. Silveira Lira

Keyword(s):

Mechanical Properties ◽

Response Surface Methodology ◽

Experimental Design ◽

Portland Cement ◽

Response Surface ◽

Mechanical Resistance ◽

Lower Heat

For this workmixtureswere madewith three types ofPortland cement (CPII,CPIII, and CPIV), which were chosen because theyexhibit: good mechanical properties,lower heat ofhydrationgeneratedin the reaction, greater impermeability, greater resistance to environmentsaggressive.The objectwas to improve themechanical strengthofcementpasteswith the helpof experimental design. Ten different compositionswere prepared, which were tested forcompressivestrengthat 1 and14 days ofcuring. The results illustrated that the first day; the composition showed that the best result was composed of 50% of CP II and 50% of CP III. Already at 14 days, a paste made with 100% of CP III showed better results followed by composition made with 50%CP II and CP III 50%.

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Optimizing the content of nano-SiO2, nano-TiO2 and nano-CaCO3 in Portland cement paste by response surface methodology

Journal of Building Engineering ◽

10.1016/j.jobe.2020.102073 ◽

2021 ◽

Vol 35 ◽

pp. 102073

Author(s):

Zunchao Ren ◽

Yongyi Liu ◽

Lianwang Yuan ◽

Congqi Luan ◽

Jinbang Wang ◽

...

Keyword(s):

Response Surface Methodology ◽

Portland Cement ◽

Response Surface ◽

Cement Paste ◽

Nano Tio2 ◽

Nano Sio2 ◽

Portland Cement Paste

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Optimization of Impact Energy of Copper-Polylactic Acid (Cu-PLA) Composite Using Response Surface Methodology for FDM 3D Printing

Journal of Advanced Research in Fluid Mechanics and Thermal Sciences ◽

10.37934/arfmts.84.1.7890 ◽

2021 ◽

Vol 84 (1) ◽

pp. 78-90

Author(s):

Arvind Kottasamy ◽

Mahendran Samykano ◽

Kumaran Kadirgama ◽

Devarajan Ramasamy ◽

Md Mustafizur Rahman ◽

...

Keyword(s):

Response Surface Methodology ◽

Impact Strength ◽

Response Surface ◽

Mechanical Performance ◽

Maximum Energy ◽

Coefficient Of Determination ◽

P Value ◽

Impact Properties ◽

3D Printed ◽

The Impact

This study attempts to provide a statistical evaluation of the effect of Cu wt.% and infill pattern on the FDM-based 3D printed parts' impact properties. The developed model is based on the acquired experimental data accompanied by response surface methodology (RSM) analysis. The confidence level for RSM is set to 95% (? = 0.05), where P-value lower than 0.05 shows a significant effect by the parameter. Besides determining significant parameters, this analysis also provides modeling of impact properties and optimizes the desired mechanical performance parameter. ANOVA analysis includes data of standard deviation (S), coefficient of determination (R2), adjusted and predicted (R2). Infill pattern and Cu wt.% show a significant effect on both factors, including energy absorbed and impact strength. The model created for the energy absorbed and impact strength has an error of 7.23 % and 6.60 %. The maximum energy absorbed and impact strength obtained through optimization is 2.5180 J and 35.3657 kJ/m2, respectively, through the combination of two main factors, including Concentric infill pattern with 25 wt.% Cu. The mathematical models of the impact properties were also developed using RSM, focusing on varying copper composition and infill patterns, which can be used to predict desired impact properties.

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