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研究了不同成分的Ti Fe Mo Mn Nb Zr合金的压缩强度、硬度及其在Hank’s人工体液中的耐腐蚀性能 ,得到了高压缩强度、硬度与牙本质相近的钛合金。在综合考虑钛合金成本、力学性能及耐腐蚀性能的基础上 ,采用BP神经网络建立了钛合金中的元素质量分数与硬度之间的关系 ,并通过实验进行了验证 ,预测结果与实验测定结果的对比是令人满意的。在保证性能的基础上 ,利用训练好的BP网络结构对材料的成分进行优化 ,以减少贵重元素的加入量。
The compressive strength and hardness of TiFeMoMnNbZr alloys with different compositions and their corrosion resistance in Hank’s artificial body fluid were studied. Titanium alloys with high compressive strength and similar hardness to dentin were obtained. Based on the comprehensive consideration of the cost, mechanical properties and corrosion resistance of titanium alloy, the relationship between elemental mass fraction and hardness in titanium alloy was established by BP neural network and verified by experiments. The results of the prediction and experimental results The contrast is satisfactory. On the basis of the guaranteed performance, the composition of the material is optimized by the trained BP network structure so as to reduce the amount of precious elements added.