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Optimization of chemical admixtures for 3DCP

            Materials Science in Additive Manufacturing


                                                               structure occurred during the printing test since material static
                                                               yield stress is insufficient to keep the printed layers to stand
                                                               firmly; therefore, it is not suitable for 3D printing. Finally, the
                                                               structure collapsed due to large deformation and misalignment.
                                                               Therefore, materials with higher yield stress and higher
                                                               thixotropy have better printability according to the printing
                                                               test. The developed statistical models by using CCD can be an
                                                               efficient method to optimize the dosage of chemical admixtures
                                                               so that the material has the desired rheological properties, that
                                                               is, high yield stress and high thixotropy, for 3DCP.
                                                               5. Conclusions

                                                               In this study, CCD was adopted to investigate the impact
                                                               of chemical admixtures and their combined interactive
                                                               effects on the rheological properties with respect of static/
            Figure 11. Final printout of formulation No. 3.    dynamic yield stress, plastic viscosity, and thixotropy. Two
                                                               mixtures with the extremes of the rheological properties
            A                      B                           were selected for the printing test in this work. The printing
                                                               test was successfully conducted when the mixture has high
                                                               yield stress (1,156 Pa) and high thixotropy (17,081 Pa/s).
                                                               However, the collapse happened during the printing test
                                                               when materials have a low yields stress (588.6 Pa) and low
                                                               thixotropy (7,410 Pa/s).
                                                                 Four polynomial models are constructed to correlate
                                                               the dosage of chemical admixtures with material
                        C                                      rheological properties. The derived models are shown
                                                               to be statistically significant based on ANOVA analysis.
                                                               The results indicate that with an increase in the dosage
                                                               of superplasticizer or retarder, the rheological properties
                                                               decrease, while accelerator possesses an opposite effect on
                                                               the rheological properties. The combined interactive effect
                                                               of retarder and accelerator has a negative impact on the
                                                               rheological properties. The interactive effect of retarder
            Figure 12. Printability test result of formulation No. 6: (A) Slight   and superplasticizer possesses a positive impact on the
            deformation appeared; (B) large deformation and misalignment occurred;   dynamic yield stress, plastic viscosity, and thixotropy
            and (C) final collapse occurred.                   while it has a negative influence on the static yield stress.
                                                               The  interactive effect  of  accelerator  and retarder  has a
            4.3. Printability test results                     positive influence on the yield stress whereas it possesses
            The mixture proportions of No.3 and No.6 in Table 4 were   a negative impact on the plastic viscosity and thixotropy.
            selected in printability test as they show the extremes   The CCD derived model is not universally applicable
            of the  rheological properties.  The mixture proportion   since the results may possibly alter in conjunction with
            of No.3 possesses high yield stress (1,156 Pa) and high   other factors such as the test range of parameters being
                                                               studied. However, the CCD can minimize the efforts
            thixotropy (17,081 Pa/s). On the contrary, No.6 possesses   and time consumed in conducting experiments while
            a low yields stress (588.6 Pa) and low thixotropy (7,410   obtaining sufficient information for data analysis. The
            Pa/s). Final printed component with mixture proportion   method is particularly useful when one has to deal with
            No.3 is illustrated in Figure 11. As shown from Figure 11,   a large number of variables in experiment. The second-
            it indicates that the mixture proportion of No.3 can be   order models can be further obtained through the CCD
            printed well, and material can fully maintain its shape in   to make predictions.
            the printing process.
              However, mixture proportion of No.6 is not suitable for   Acknowledgments
            printing as shown in  Figure 12. Large deformation of the   None.


            Volume 1 Issue 3 (2022)                         10                     https://doi.org/10.18063/msam.v1i3.16
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