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Materials Science in Additive Manufacturing               Acoustic performances of SC lattices fabricated by DLP



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            Figure 7. (A) Plot of   tube   against Nδ , with the plot and equation of the linear approximation of the experimental data. (B) The plot of the perforation
                          t tube
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            ratio ε against δ , with the plots and equations of the piecewise linear approximations of the experimental data.
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            shown in Figure 9. Values of the mean percentage errors are   using AM, as the design geometrical parameters may be
            provided in Supplementary Text 8 in the Supplementary   used in the mathematical models without much concern
            File. It can be seen that the DB model resulted in   over corrections to the geometry. Furthermore, the
            percentage  errors  of mostly between  5%  and  60%,  with   photopolymer resin used in this work was notable for its
            most of the errors being around 20%–30%. Notably, the   high toughness and strength and has been used in previous
            mean percentage error is the lowest at 8.5% for the sample   works with high build quality and high dimensional
            with D = 3.0 mm and R = 0.43 mm. The percentage errors   accuracies [30,31] . Hence, the sound absorption of these
            for low porosity lattices (φ < 0.5) were noticeably high at   lattices by structural vibrations and material damping may
            above 40%. This is expected considering the low accuracy   be neglected [12,32] , which simplifies the acoustic analysis
            of the DB model for low-porosity materials. In contrast,   significantly.
            the percentage errors from the MMC model were relatively   Second, it is understood that there exists a set of criteria
            lower than that of the DB model at around 10%–20% for   in which the DB model is valid [12,33] . In particular, it is
            most lattice samples. Moreover, the MMC model predicted
            the sound absorption performances significantly better   acknowledged that the DB model works well only when
            than the DB model for lattice samples with porosities   the porosity of the porous material is close to one. Through
            below  0.7,  while  the  percentage  errors  were  comparable   this work, it is determined that the DB model may be able
            to the DB model for porosities above 0.7. Hence, one can   to model the acoustic properties of SC-Truss lattices for
            infer that for SC-Truss lattices with porosities below 0.7,   porosities above 0.7, though percentage errors of about
            the MMC model is a more accurate model to calculate   20% are expected. Hence, to fabricate such lattices on a
            the sound absorption coefficients. For SC-Truss lattices   large scale for industrial applications, the DB model is still
            with porosities above 0.7, both the DB model and the   applicable and can be used to determine a general trend
            MMC model work similarly well in predicting the sound   in the variation of sound absorption coefficients with
            absorption coefficients. That being said, it is recommended   frequency. The simplicity of the DB model expressions, as
            to use the DB model over the MMC model due to the   well as the availability of several methods of determining
            simplicity of the DB model.                        the airflow resistivity of the fabricated lattices [26,34] , ensures
                                                               that the model is a more attractive mathematical model to
            4. Discussion                                      use as compared to other more complicated models, such
                                                               as the JCA model .
                                                                             [12]
            First, this work demonstrated the good dimensional
            accuracies of the SC-Truss lattice samples fabricated using   Finally, the determination of both  δ  and  δ  through
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            the vat photopolymerization process. As compared to   experimentation and statistical regression is an approach
            other AM processes such as material extrusion, powder   that is less reported in the modeling of acoustic materials
            bed fusion, and material jetting, the major manufacturing   using the theories related to the MPP absorbers. One of
            defects  such  as surface  roughness and micro-porosities   the first works to do so is the work by Maa, Morse and
            are less apparent in the fabricated samples . Therefore,   Ingard, which assigned discrete values to δ  and δ  based
                                               [5]
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            this observation proved useful in the characterization of   on the general morphology of the narrow perforations [21,22] .
            the acoustic properties of lattice structures manufactured   Common values for δ  are 2 and 4, depending on whether
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            Volume 1 Issue 4 (2022)                         9                      https://doi.org/10.18063/msam.v1i4.22
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