After validating it with experimental test, this model was utilized to study the mixing performance considering the allowable mass fraction range of every formulation component and a mixer speed of 45 rpm, and the dataset generated from this study was employed along with a machine learning algorithm to obtain a model to predict the mixing index. In this sense, twenty-five different combinations of the defined components were simulated and a mixing index of 0.98–0.99 was obtained in a time of 60 s, revealing that all the combinations were completely mixed. In addition, the developed model was validated with results obtained from the DEM model. The model predicts the mixing index in advance and with accuracy.

The DIY approach promotes small-scale digital manufacturing for the production of customized, fast moving consumer goods, including powder detergent. In this context, a machine was developed to manufacture a customized detergent according to the needs of the clients indicated on a digital platform connected to the machine. The detergent is produced by a mixing process of the formulation components carried out in a 3D mixer. Analysing the mixing performance of the process is essential to obtain a quality product. In this study, the mixing process of the powder detergent was modelled using the discrete element method.

Ore powder briquette machine can be used to press pulverized coal, iron powder, coking coal, aluminum powder, iron filings, iron scale, carbon powder, carbon powder, slag, gypsum, tailings, sludge, kaolin, activated carbon, coke powder, and other powders, powder materials, waste materials, and waste residues. It is widely used in refractory, power plant, metallurgy, chemical industry, energy, transportation, heating, and other industries. It is energy-saving, environment-friendly, convenient for transportation, improves the utilization rate of waste materials, and has good economic and social benefits.

Metallurgical ore powder briquette is a new type of furnace charge introduced in recent years. Because of its environmental protection and energy-saving characteristics in the production and use process, it is widely used in iron and steel, and ferroalloy enterprises instead of lump ore for smelting. The preparation of metallurgical pellets is an important part of the metallurgical process, which can not only improve the metallurgical physical and chemical properties of materials but also realize the resource utilization of industrial solid waste and an important way of the circular economy. Therefore, pelletizing technology is an important way to realize energy saving, environmental protection, and utilization of waste resources. The cold-pressed pellets prepared by this technology are also used as a burden for blast furnaces, direct reduction furnaces, cupola furnaces, and submerged arc furnaces.

The size and particle size distribution of powder particles have a great influence on product quality. In traditional building materials, the thickness and shape of cement particles have a great influence on cement properties.

It is reported that the glass and ceramic industries are currently high energy consumption industries, with fuel costs accounting for 35%-50% of the production costs. The production costs remain high, causing a heavy burden on the production of enterprises. According to the 2014 annual output data survey, more than 1,000 ceramic production enterprises and more than 3,000 ceramic production lines all use water gas and natural gas as the main production energy.

Powder mixing is a common operation in industrial production, which is widely used in the chemical industry, pharmacy, food, and construction. It is one of the most critical operation procedures in the production of medicines, feed, cement, and other products. Powder material mixing refers to the operation process in which a variety of powder particles with different components change their moving speed or direction in the mixer, and finally, make the particles with different components randomly and evenly distributed in the mixer.