As a stainless steel foundry, silica sol process stainless steel casting is called investment casting or precision casting. It is a casting process with little or no cutting. It is an excellent process technology in the foundry industry and has a wide range of applications. It is not only suitable for the casting of various types and alloys, but also produces castings with higher dimensional accuracy and surface quality than other casting methods, and even complex, high-temperature resistant, and difficult-to-process castings that are difficult to cast by other casting methods. Can be cast by investment casting.
The so-called investment casting process is simply to use fusible materials (such as wax or plastic) to make a fusible model (referred to as investment or model), apply several layers of special refractory coatings on it, and then dry and harden it. After forming an integral shell, use steam or hot water to melt the model from the shell, then put the shell in the sand box, fill the mold with dry sand around it, and finally put the mold in the roasting furnace through high temperature Roasting (if a high-strength mold is used, the mold shell after demolding can be directly fired without modeling). After the mold or mold is fired, molten metal is poured into it to obtain a casting.
The dimensional accuracy of investment castings is relatively high, generally up to CT4-6 (CT10~13 for sand casting and CT5~7 for die casting). Of course, due to the complex process of investment casting, there are many factors that affect the dimensional accuracy of castings, such as molds. The shrinkage of the material, the deformation of the investment mold, the linear change of the shell in the heating and cooling process, the shrinkage of the alloy and the deformation of the casting during the solidification process, so the dimensional accuracy of ordinary investment castings is relatively high, but its Consistency still needs to be improved (the size consistency of castings with medium and high temperature waxes should be improved a lot).