Two mixing indexes are used to evaluate the mixing condition, namely, the Ica Manas-Zlaczower dispersive index and Kramer’s distributive index. Some fluctuations are observed in the predictions of the dispersive mixing index, which could be associated with the free surface of the suspension, thus indicating that this index might not be ideal for partially filled mixers. The Kramer index results are stable and indicate that the particles in the suspension can be well distributed. Interestingly, the results highlight that the speed at which the suspension becomes well distributed is almost independent of applying heat both before and during the process.

This paper presents a new non-isothermal, non-Newtonian CFD model for the sigma blade mixing of an adhesive suspension, where both the free surface and viscous heating are accounted for. The suspension is modeled as a viscoplastic fluid, and model calibration is performed via optical temperature measurements. To evaluate the mixing quality, we have used Zlaczower’s dispersive mixing index as well as Kramer’s distributive mixing index. The model is used to investigate the effect of applying heat both before and during the process on the mixing quality.

In that previous section, we have introduced Plackett–Burman (P–B) design and have defined four key performance indicators (KPIs). This section will discuss the results of the KPIs, summarize the results of P–B design. The results show that the material property effects are not as significant as those of the operational conditions and geometric parameters. In particular, the geometric parameters were observed to significantly influence the energy consumption, while not affecting the mixing quality and mixing time, showing their potential towards designing more sustainable mixers. Furthermore, the analysis of granular temperature revealed that the centre area between the two paddles has a high diffusivity, which can be correlated to the mixing time.

Following the above, in this part the discrete element method (DEM) and Plackett–Burman (P–B) design were used to investigate the mixing performance of a double paddle mixer. To this end, several material properties (i.e., particle size ratio, density ratio and composition), operational conditions (i.e., filling pattern, fill level and impeller rotational speed) and geometric parameters (i.e., paddle size, angle and number) were examined. In order to quantitatively analyse their effects on mixing performance, a number of key performance indicators (KPIs) were defined, namely the average steady-state RSD (KPI 1), the mixing time (KPI 2) and the average mixing power (KPI 3). In addition, KPI 4 was formulated as a multiplication of KPI 2 and KPI 3 to examine the mixing time and energy consumption at the same time.

To improve the understanding of the mixing performance of double shaft, batch-type paddle mixers, the discrete element method (DEM) in combination with a Plackett–Burman design of experiments simulation plan is used to identify factor significance on the system’s mixing performance. Effects of several factors, including three material properties (particle size, particle density and composition), three operational conditions (initial filling pattern, fill level and impeller rotational speed) and three geometric parameters (paddle size, paddle angle and paddle number), were quantitatively investigated using the relative standard deviation (RSD). Four key performance indicators (KPIs), namely the mixing quality, mixing time, average mixing power and energy required to reach a steady state, were defined to evaluate the performance of the double paddle mixer.

Material mixing refers to the homogenization of one or more materials to reduce or eliminate the uneven distribution of particle size, density, temperature and plasticity. It is a common material processing method.

Different industries use different mixers​ due to different types, characteristics， using and subsequent treatment methods of raw materials. The selection of a suitable mixer for compound fertilizer production plays an important role in ensuring the smooth progress of production and the final quality of products. The editor will show you how to choose a suitable mixer for compound fertilizer manufacturers.

The mixing of high viscosity materials is often encountered in industrial production, and the mixing efficiency and mixing effect directly affect the quality and yield of finished products. The judgment of the mixing endpoint in the mixing time determination is the key, and different researchers have different methods to judge the mixing endpoint, and its accuracy varies.

High viscosity self-cleaning mixing equipment is mainly used in the field of adhesive substances, cosmetic products, lubricants, pigments, resins, rubber and plastic auxiliary substances, emulsions, industrial dyes and other chemical products, in these areas it has played its strengths with its unique features, so that the prospects are very good. High viscosity mixer is a collection of dispersion, stirring and mixing as one of the multifunctional and efficient equipment, more and more enterprises, researchers love. So specifically how is the high viscosity mixer used in the paint industry?

There are different types of horizontal mixers, each model has its own structure point, for some of the applications in the connected industries is some places are similar, but also to a certain extent to be divided, there are some differences, the following introduces the commonly used several mixer models and structural properties.