Autogenous scrubbers, also known as ore scrubbers or drum scrubbers, have been in use in the mining industry for several decades. They are typically large rotating drums that are used to remove clay and other materials from ores before further processing. History: The history of autogenous scrubbers dates back to the early 20th century when they were first used in the gold mining industry. Over time, their design has evolved, and they are now used in a wide range of mining applications, including the processing of iron ore, diamonds, and other minerals. Working principle: Autogenous scrubbers work by tumbling the ore and the scrubbing media (usually water) together within the rotating drum. The tumbling action of the drum helps to break down the ore and dislodge any clay or other materials that may be present. The scrubbing media then washes away the unwanted materials, leaving behind a clean ore that is ready for further processing. Common applications: Autogenous scrubbers are most commonly used in the processing of minerals such as iron ore, diamonds, and gold. They are also used in the production of other commodities, such as copper, lead, and zinc. Selection based on calculations: The selection of the correct autogenous scrubber can be based on several factors, including the size and type of the ore, the desired throughput, and the available power supply. A number of calculations can be used to determine the optimal size of the scrubber, including the drum diameter, the length of the drum, and the rotational speed. Latest technology developments: The latest technology developments in autogenous scrubbers focus on improving their efficiency and reducing their environmental impact. One recent innovation is the use of high-pressure water jets to remove the unwanted materials from the ore. This technology is more efficient than traditional scrubbing methods and can help to reduce water consumption and waste. Another development is the use of advanced control systems to optimize the operation of the scrubber. These systems use real-time data and machine learning algorithms to adjust the scrubber's settings and improve its performance. In summary, autogenous scrubbers have a long history of use in the mining industry and are widely used for the processing of ores. The correct scrubber can be selected based on calculations that take into account factors such