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Materials Science in Additive Manufacturing                      Optimization of chemical admixtures for 3DCP


            rheological  test ,  in  which  Bingham  model  can  also   3. Materials, mixture design, and properties
                         [11]
            be expressed as the following formula (Equation II) for   characterization
            convenience of experiment design and data analysis:
                                                               3.1. Materials and mixture design
                              T = G + hN               (II)
                                                               Material mixture in this study consists of ordinary
              Equation II describes the correlation between the   Portland cement (OPC, ASTM type I, Grade 42.5), silica
            measured torque T (N·m) and rotational speed N (rpm).   fume (SF, undensified, Grade  940, Elkem company),
            The parameter G (N·m) is flow resistance, representing the   fine sand, fly ash (FA, Class  F), water, superplasticizer
            minimum torque required to initiate or maintain the flow of   (MasterPozzolith-R168, BASF Pte. Ltd.), accelerator
            a material. The parameter h (N·m·min) is torque viscosity.   (MasterRoc  SA160,  BASF  Pte.  Ltd.),  and  retarder
            Similar to the k in Equation I, the parameter h describes   (MasterReobuild1000, BASF Pte. Ltd.). Particle size
            the change of applied torque with altering rotational speed.  distribution is  illustrated  in  Figure  2,  and the  chemical
              Buildability and pumpability can be characterized   composition of all the raw ingredients used is shown in
            by a build-up model and a pumping pressure model,   Table 1. The mixtures used in this study follow the same
            respectively. The built-up model can be adopted to predict   mixture proportion, as shown in Table 2.
            the printed height of structures with static yield stress of   The dosage of chemical admixtures was designed by
            material, and the model is expressed in Equation III :  the CCD, and the coded and actual values used in the
                                                     [31]
                                                              experiment  are  presented  in  Table  3.  The  relationship
                              H      t ()            (III)   between coded and actual values is expressed in
                                   g  s                       Equation  VI .
                                                                         [8]
              Where H (m) and α are the printed height (buildability)   Coded value  Actual valueFactor mean   /
            and the geometric factor of printed structures, respectively;
            ρ (kg/m ) and  g (m/s ) are the density of materials and             Range of factorial vvalue / 2   (VI)
                  3
                              2
            gravitational constant, respectively. Equation III implies
            that the printed height is positively proportional to the   3.2. Mixing process and properties characterization
            static yield stress for a given material and structure.   A Hobart mixer X200L was used for mixing. The
            pumpability, generally characterized by pumping pressure,   rheological properties of cement slurries are influenced by
            is positively related to dynamic viscosity that measures a   several factors, such as speed, time, and temperature. Thus,
            fluid’s resistance to flow when an external force is applied .
                                                        [32]
                                                               mixing procedures in this study were fixed to minimize
            2.2.2. Time-dependent effect of rheological properties  the difference among batches. First, the powders of all
                                                               solid ingredients were dry mixed for 1 min in stir speed
            Rheological properties evolve with time due to hydration   (33 rpm). Water, superplasticizer, and retarder were then
            process. A theoretical model proposed by Roussel et al.    added, and the mixing process continued for 1 min in stir
                                                        [33]
            correlates yield stress with resting time. The model is   speed (33 rpm) followed by 1 min in speed I (61 rpm);
            expressed in Equation IV:
                            t()   ()0  A t         (IV)
                                  s
                            s
                                        thix
              Where  t  (s)  is  time  at  rest;  A thix  (Pa/s)  is  thixotropy
            parameter, a constant value for a given material; τ  (0) is the
                                                   s
            static yield stress as a function of resting time t = 0. A high
            A  is required for the 3D printable cementitious material
             thix
            in printing process to accelerate the increase of static yield
            stress to make certain that materials possess appropriate
            buildability.
              The time effect on the evolution of dynamic viscosity is
            expressed in Equation V:

                       ()t    (1000   )(/ )t t v  n  (V)
                                        0
                              0
              Where t (s) is time at rest; t  is 1000 Pa∙s. µ is initial
                                      v
                                                   0
            dynamic viscosity. Generally, dynamic viscosity changes   Figure 2. Particle size distribution of ordinary Portland cement, fly ash,
            slightly in 30 min after mixing .                  and silica fume.
                                    [34]
            Volume 1 Issue 3 (2022)                         3                      https://doi.org/10.18063/msam.v1i3.16
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