3D printing uses a variety of technologies. The difference between them lies in the way of available materials and the creation of different levels of components. Commonly used materials for 3D printing include nylon glass fiber, durable nylon material, gypsum material, aluminum material, titanium alloy, stainless steel, silver plating, gold plating, rubber and other materials. Today's 3D printing technology can not only control the materials used in the manufacturing process, but also ensure the accuracy at the molecular and atomic levels. The products made by 3D printers will combine the characteristics of new materials, nano-scale and printed electronic devices, thus showing amazing new functions.

3D printing technology has a great development prospect and is widely used. This technology can be combined with many fields, such as industrial design, biology, footwear, medical care, architecture, jewelry, aerospace and so on. In medicine, Peking University's research team successfully implanted a 3D printed spine for a boy aged 12 in 20 14, which is exciting news. However, 3D printing technology also faces the limitations of printed materials, intellectual property rights and ethical disputes. However, as far as medicine is concerned, I believe that 3D printing technology is definitely the gospel of patients.

At present, the field of 3D printing is developing rapidly, and the output value is increasing obviously, which should belong to the rapid modeling technology. Such as automobile manufacturing, machinery industry, light industry, electronics industry, military, aerospace manufacturing, communications and so on.

The application of 3D printing technology can be said to be omnipotent. In the high-tech field, the composite fiber 3D printer successfully developed by using 3D printing technology can print people's ordinary clothes and other clothes.

Artificial intelligence is an extremely powerful tool, which can be used to process a large amount of data and gain insight to help decision-making. But to do this, we not only need a lot of data, but also need a deep understanding of the 3D printing process.

Only by truly understanding the 3D printing process and finding ways to make it faster, more stable and more predictable from the data can we truly release the full potential of artificial intelligence in additive manufacturing.

As enterprises expand the scale of 3D printing, they will rely more and more on automation. However, post-processing limits the expansion potential, especially in the case that post-processing mainly relies on manual operation at present. Simply expanding the scale by increasing personnel will lead to increased cost and uncertainty, and the reliability cannot be guaranteed. If we want to expand the scale of production, the only way is to automate post-processing.

This is especially true in the case of mass customization. For personalized shoes, different customers may need different colors, which will make the process more complicated. In addition, the total output of what we call "mass customization" is still very low.