Dynisco PT460E-G1 standard type melt pressure sensors

Dynisco PT460E-G1 standard type melt pressure sensors have the characteristics of high precision and high stability, and are suitable for melt pressure measurement in industrial fields such as plastics and rubber. The following is a related introduction:

Pressure measurement range: Although there is no clear public information showing the specific pressure range of PT460E - G1, referring to the same series of products, it is speculated that it can be used to measure medium to high pressure melts, and the pressure range may be around 0 - 34.5MPa (5000PSI) or 0 - 69MPa (10000PSI). The specific needs to be subject to the product manual.

Accuracy: Usually the accuracy is better than ±0.5%, which can provide more accurate pressure data for the production process, which helps enterprises to accurately control the production process and ensure the stability of product quality.

Output signal: Similar to other products in the PT460E series, it may have a full-scale output signal of 3.33mV/V, which is convenient for connection with subsequent signal processing equipment such as data acquisition systems and controllers to monitor and control melt pressure.

Structural design and material: It adopts a rigid rod structure, which is easy to install and can be quickly installed on the melt flow channel of equipment such as extruders and injection molding machines. The sensor diaphragm may use a patented DyMax coating, which has wear and corrosion resistance. It can maintain good stability and repeatability in harsh environments such as high temperature and high viscosity melts, and can work stably for a long time, reduce measurement errors, and extend service life.

Application areas: Mainly used in plastic and rubber industrial fields such as plastic profile production and rubber product processing. It can also be used in industries such as oil services, food and medicine, blow molding and resin production, and can provide important pressure parameter support for production process optimization and control in these fields.