Under the influence of the concept of Industry 4.0, the manufacturing industry is undergoing a digital transformation. For example, if all kinds of data in the process of CNC machining parts can be completely collected, systematically analyzed, and corresponding measures can be taken according to the analysis, the efficiency of CNC machining parts can be improved.
According to the survey data of the Swedish Engineering Industry Association, only about 59% of manufacturers use digital technology to improve efficiency, but in fact, data is very helpful for improving efficiency. For example, CNC machining parts generates a lot of industrial waste, but a lot of it can be avoided.
Production facilities, regardless of their size, complexity or age, generate vast amounts of data every day. These data, ranging from equipment performance to product specific parameters, can be collected by installing sensors on the equipment. After analyzing these data, take corresponding optimization measures, such as simplifying production and logistics processes, improving tool paths, etc. Small optimizations in a single process can add up to a huge impact on operational efficiency.
The data can also find energy consumption problems. Through the data, the energy consumption of each processing equipment can be monitored. When the energy consumption of the equipment fluctuates obviously, the actual situation can be analyzed, the reasons can be found, and measures can be taken.
Continuously analyzing data in real time can also help simplify machine maintenance. Data analytics can predict and issue early warnings before problems occur. Once there is a problem with the machine, the parts processed at that time are likely to be scrapped, resulting in wasted material. Therefore, if the data of the machining process can be collected in real time, and the data can be analyzed and used, the running speed of the equipment can be effectively improved, thereby improving the efficiency of CNC machining parts.