Complex Fusion Structure Slow Dissociation Simulation Prediction Method

Human skeletal implants, as a category of critically important medical consumables, are designed to remain inside the body for long periods. Titanium or titanium alloys are commonly chosen as the primary construction materials. Recently, the academic community has explored an innovative approach to implant construction that uses titanium as the base framework and zinc as the filling material to create an interconnected composite structure. In this structure, zinc gradually dissolves over the lifetime of the implant, promoting bone growth into the pores formed after its dissolution. Given the continuous dissociation of zinc, the physical and chemical properties of the implant exhibit a slow and continuous change over its lifecycle. However, there is currently no effective method to precisely predict and assess the state changes of such complex structures over long periods of time. This study focuses on the typical application scenarios of human skeletal implants, and verifies the accuracy of short-term steady-state numerical calculation models through rigorous experimental methods. Based on this, we propose a complex fusion structure slow dissociation reverse simulation prediction method based on short-term steady-state calculation results. This method aims to simulate the steady-state performance of implants in the short term, and reverse deduce the structural changes and performance evolution caused by zinc dissociation during long-term use, thereby providing a more scientific basis and support for the design and evaluation of medical implants.