摘要
考察了不同成分的Ti-Fe-Mo-Mn-Nb-Zr合金的压缩强度、硬度,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、力学性能的基础上,采用模糊推理系统建立了钛合金中的元素质量百分含量与硬度之间的关系,并通过实验法进行了验证,预测结果与实际测定结果的对比是令人满意的。在保证性能的基础上,利用训练好的模糊推理系统对材料的成分进行优化,减少贵重元素的加入量。
Corrosion resistivity in Hank's artificial body fluid, comperssion strength and hardness of heterogeneous Ti-Fe-Mo-Mn-Nb-Zr alloys, approximate to that of dentin have been studied. On the basis of cost, mechanical performance and corrosion resistance a neural-fuzzy system has been applied to determine the relationship between composition and hardness of the titanium alloys. The results of the theoretical analysis agree with experiments. The alloy composition can be optimized by the neural-fuzzy method thereby enabling them to replace the more expensive noble elements with lower cost material having comparable mechanical properties.
出处
《稀有金属材料与工程》
SCIE
EI
CAS
CSCD
北大核心
2003年第9期727-731,共5页
Rare Metal Materials and Engineering
关键词
钛合金
模糊推理系统
硬度
成分优化
titanium alloy
neural-fuzzy system
hardness
composition optimize
