残余应力
材料科学
沉积(地质)
残余物
一致性(知识库)
机械工程
机械
生物系统
复合材料
计算机科学
算法
人工智能
古生物学
工程类
物理
生物
沉积物
作者
Tianci Li,Lele Zhang,Geng Chen,Norbert Pirch,Thomas Schopphoven,Andrés Gasser,Reinhart Poprawe
标识
DOI:10.1016/j.jmapro.2022.03.055
摘要
Extreme high-speed laser material deposition (EHLA) can be utilized for mass customization owing to its enhanced process speed and productivity. Although EHLA has multiple similarities with additive manufacturing techniques such as conventional laser metal deposition (LMD), the variation in the process speed causes different phase transformations and residual stress distributions. Therefore, a combined heat source model is proposed to evaluate the performance of structures repaired by EHLA and optimize process strategies. The model considers the unique energy input associated with the densification process compared with that of the conventionally used Gaussian heat source model. The parameters within the model were calibrated based on the residual stress distribution and molten pool morphology. The evolution of temperature and residual stress was investigated under various process conditions such as scanning speed and power input using the model. The consistency between the simulation and experimental results verified the viability of the model for determining EHLA parameters and improving the performance of repaired parts.
科研通智能强力驱动
Strongly Powered by AbleSci AI