基于能源的方法来预测增材制造的ABS/GNP复合材料的疲劳寿命
Soran Hassanifard1, Kamran Behdinan1
1Advanced Research Laboratory for Multifunctional Lightweight Structures (ARL-MLS), Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON M5S 3G8, Canada.
Polymers
|August 14, 2025
概括
一个新的模型准确地预测了3D打印的ABS/石墨烯复合材料的疲劳寿命,特别是负平均应力. 这种以能源为基础的方法提高了烯丁 styrene (ABS) 和石墨烯纳米板块 (GNP) 复合材料的材料耐用性预测.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 增材制造 增材制造 增材制造
背景情况:
- 增材制造 (AM) 能够实现复杂的几何形状,但需要精确的疲劳寿命预测材料,如烯丁 styrene (ABS) /石墨烯纳米板块 (GNP) 复合材料.
- 现有的基于能源的模型难以预测高循环和低循环的疲劳寿命,特别是在不同的应力比率 (R) 中.
研究的目的:
- 评估目前基于能源的模型的有效性,以预测AM ABS/GNP复合材料的疲劳寿命.
- 开发一个改进的疲劳寿命预测模型,以考虑应力比率的依赖性,特别是负平均应力.
主要方法:
- 理论研究GNP重量百分比和导线丝晶状体方向对疲劳寿命的影响.
- 利用纽伯和拉姆伯格-奥斯古德方程来获得基于能源的模型的应力和应变值.
- 通过结合现有的基于能源的模型和纳入应力比依赖,开发了一种新型模型.
主要成果:
- 基于能源的标准模型未能准确地预测高循环和低循环的疲劳寿命,显示出高度依赖应力比率 (R).
- 新的组合模型显示出高可靠性,大多数预测在R值在-0.22和0.0之间的±2系数内.
- 当平均应力为负值时,拟议的模型证明了对各种负载级别和格方向的有效性.
结论:
- 开发的基于能源的模型提供了一种可靠的方法,用于在特定条件下 (负平均应力) 预测AM ABS/GNP复合材料的疲劳寿命.
- 这项研究为评估3D打印材料在工程应用中的耐用性提供了更准确的工具.
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