Injection molds are key equipment in injection molding production, and their service life directly affects production costs and efficiency. Effectively extending the service life of injection molds can reduce production costs and improve production efficiency.

CAE mold flow analysis is a method that utilizes Computer-Aided Engineering (CAE) technology to simulate and analyze the injection molding process.

Liquid silicone rubber (LSR) products differ significantly from traditional injection-molded products in terms of material properties, processing methods, and application areas.

As a key device in precision injection molding, the vertical injection molding machine, with its unique structure and performance advantages, has promoted the development of precision injection molding technology for sensors.

S136 is a high-hardness, wear-resistant stainless steel mold steel. After proper heat treatment, its hardness typically reaches ​58–62 HRC, significantly enhancing the mold’s wear and impact resistance.

The manufacturing process of an injection mold involves multiple stages, including design, fabrication, assembly, and debugging. The timeline depends on mold complexity, production requirements, and equipment efficiency. Typically, the entire process from design to final delivery takes ​6–12 weeks or longer.

Lifting eye holes, as the core load-bearing structure for mold handling and installation, directly impact operational safety and service life through their rational design.

In the field of medical injection molding, the inspection of stainless steel inserts is crucial. This is not only related to the quality and performance of the product but also directly affects the safety and health of patients.

In medical devices, especially in the manufacturing of hemodialysis tubing casings, selecting the appropriate material is crucial for the product's performance, safety, and durability.

The design of the cooling system in an injection mold directly affects molding efficiency, product dimensional accuracy, and residual stress distribution.