The effects of processing condition and fatigue on ultra-large self thermal plastic deformation in NiTi shape memory alloy fiber actuated aluminum metal matrix composites

加工条件和疲劳对NiTi形状记忆合金纤维驱动铝金属基复合材料超大自热塑性变形的影响

• 批准号: 9972055
• 负责人: William Armstrong
• 金额: $ 13.4万
• 依托单位: SUNY at Binghamton
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-01-01 至 2002-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9972055&HistoricalAwards=false
• 关键词: effects; processing; condition; fatigue; ultra

A coupled materials processing - experimental testing - mathematical modeling program will study how variations in processing time-temperature conditions effect the strength of the self thermal-plastic response of NiTi shape memory alloy fiber actuated aluminum metal matrix composites, and will investigate how the development of very high internal stresses in the material influence mechanical fatigue behavior. Preliminary results have shown that a properly processed and prepared NiTi shape memory alloy fiber actuated aluminum metal matrix composite (SMA-MMC) will exhibit very large, self imposed thermal-plastic compressive deformation under heating. Unfortunately, very little is presently known about the processing sensitivity and thermo-mechanical-fatigue behavior of the material. We therefore propose the following three major tasks: Task 1: Systematically measure how controlled variations in high temperature hot press consolidation processing conditions effect the shape recovery of the resulting SMA-MMC, and determine the mechanism(s) responsible for the material performance changes. Task 2: Perform a tensile cycle fatigue endurance study, identifying the fatigue damage development process in the material. Task 3: Mathematically model the self thermal plastic response of the material accommodating general variations in matrix strength, matrix flow properties, fiber volume fraction, fiber transformation properties, and temperature histories. The overall goal of the program is to provide a quantitative design tool for the scientific development of safety and cost critical commercial and military applications.

耦合材料加工-实验测试-数学建模程序将研究加工时间-温度条件的变化如何影响镍钛形状记忆合金纤维驱动铝金属基复合材料的自热塑性响应强度，并将研究如何开发材料中非常高的内应力会影响机械疲劳行为。 初步结果表明，经过适当加工和制备的镍钛形状记忆合金纤维驱动铝金属基复合材料（SMA-MMC）在加热下将表现出非常大的自强热塑性压缩变形。 不幸的是，目前人们对材料的加工敏感性和热机械疲劳行为知之甚少。 因此，我们提出以下三个主要任务： 任务 1：系统测量高温热压固结加工条件的受控变化如何影响所得 SMA-MMC 的形状恢复，并确定导致材料性能变化的机制。 任务 2：执行拉伸循环疲劳耐久性研究，确定材料中的疲劳损伤发展过程。 任务 3：对材料的自热塑性响应进行数学建模，以适应基体强度、基体流动特性、纤维体积分数、纤维转变特性和温度历史的一般变化。 该计划的总体目标是为安全和成本关键的商业和军事应用的科学开发提供定量设计工具。