In numerous industries such as chemicals, cement, power, steel, and new materials, the products manufactured often require blending and other processes involving multiple materials. Blending is of utmost importance in the production process; the speed of blending directly affects production efficiency, while the accuracy of blending directly impacts product quality. The smaller the discrepancy between the actual blending and the formula, the higher the product qualification rate. Therefore, the blending process is crucial in production. To enhance production efficiency and product quality, it is essential to have advanced blending techniques. Inaccurate raw material ratios can lead to economic losses for enterprises. For long-term sustainable development, enterprises need to overcome the issue of inaccurate raw material ratios and achieve precise blending.
The automation and intelligent equipment used in the production blending process have a direct impact on improving blending accuracy, with quantitative feeders being vital equipment in this process.
The more traditional method of blending is sequential blending, where various materials are weighed in a set sequence according to the formula, allowing only one material to be added to the weighing hopper at a time. After all materials are added, they are mixed and then proceed to the next production stage. This mode of blending is intermittent and does not allow for continuous automatic blending, resulting in lower production efficiency.
Modern production increasingly requires continuous blending, and new quantitative control feeders can meet the demand for more precise blending and continuous production. In continuous blending, various materials are transported and weighed separately, and simultaneously added to the mixer in set flow rates for blending. Multiple weighing and feeding devices, combined with software systems, constitute a continuous blending system.
The weighing sensors of GuoNuo Technology's quantitative feeders adopt advanced digital sensors, providing more stable and accurate signal transmission with stronger anti-interference capabilities, thus ensuring higher accuracy in material measurement and providing the prerequisite for controlled feeding. Imagine the consequences of large weighing errors in quantitative feeders coupled with inaccurate feeding control—inevitably, inaccurate blending. GuoNuo's new quantitative feeders utilize the DCS control mode, offering high control accuracy and providing reliable technical equipment support for improving product quality.
In case of abnormalities, failure to detect them promptly results in increased losses with continued production. The new quantitative feeders leverage advanced technologies such as the Internet of Things and cloud computing to monitor production equipment in real time, promptly detect anomalies in any stage of transportation, weighing, and blending, and intelligently address them to minimize losses.
The structural improvements of the new quantitative feeders and the application of advanced technologies such as cloud computing ensure more stable material transportation and higher accuracy in measurement control, significantly enhancing blending precision. For industries requiring high-precision blending of bulk materials, such as chemicals, steel, power, non-ferrous metals, and new materials, choosing this high-precision, low-maintenance, and highly reliable new quantitative control feeder is an effective means and pathway to improve product qualification rates, reduce enterprise costs, and enhance enterprise economic benefits.