基于模糊PID温度控制的TA1钛合金ECAP工艺与试验  

ECAP process and experiment of TA1 titanium alloy based on fuzzy PID temperature control

作　　者：赵军 徐浩杰 Zhao Jun;Xu Haojie(School of Materials Science and Engineering,Xiamen University of Technology,Xiamen 361024,China)

机构地区：[1]厦门理工学院材料科学与工程学院,福建厦门361024

出　　处：《锻压技术》2024年第10期75-81,共7页Forging & Stamping Technology

基　　金：厦门市自然科学基金资助项目(3502Z20227222)。

摘　　要：针对TA1钛合金挤压过程中变形温度范围窄、常温下变形困难等问题,运用热传导理论,研究了模具传热的基本原理,并设计了模糊PID算法来实现调控温度过程中PID控制器参数的自整定,从而精准控制挤压过程中的温度。进行了算法响应速度和精度的模拟以及显微组织的测试、对比和分析。结果表明:调试后,与传统PID算法相比,采用模糊PID算法的超调量为8.86%,减少了3.97%;调节时间为57.56 s,减少了56.88 s;稳定性误差为0,减少了0.9%。试验研究表明,模具温度变化越小,变形后材料晶粒细化越明显,组织分布越致密均匀。Aiming at the problems of narrow range of deformation temperature and difficulty of deformation at room temperature in the extrusion process of TA1 titanium alloy,the basic principle of heat transfer in the mold was studied by applying the heat conduction theory,and a fuzzy PID algorithm was designed to realize the self-tuning of PID controller parameters in the process of regulating temperature,so as to achieve the precise control of temperature in the extrusion process.The simulation of algorithm response speed and accuracy and the test,comparison and analysis of microstructure were carried out.The results show that after debugging,compared with the traditional PID algorithm,the overshoot amount of the fuzzy PID algorithm is 8.86%,a reduction of 3.97%;the regulation time is 57.56 s,a reduction of 56.88 s;the stability error is 0,a reduction of 0.9%.The experimental study shows that the smaller the mold temperature change,the more obvious the grain refinement of the material after deformation,and the more dense and uniform the tissue distribution.

关 键 词：PID算法 TA1钛合金 挤压温度 模糊控制 超调量 调节时间 稳定性误差 

分 类 号：TG316[金属学及工艺—金属压力加工]