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Fatigue behavior and modeling for additive manufactured 304L stainless steel: The effect of surface roughness

机译:添加剂制造的疲劳行为和建模304L不锈钢:表面粗糙度的影响

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摘要

The fatigue strength of additively manufactured metallic parts in their as-built surface condition is mainly dominated by the surface roughness. Post-processing is often inevitable to reduce surface roughness effects even though post-processing diminishes the main advantage of additive manufacturing, which is net-shaped direct-to-service production. This study investigates the underlying mechanisms responsible for fatigue failure of additively manufactured 304L stainless steel parts in as-built and machined/polished surface conditions. Both strain-and force-controlled, fully reversed fatigue tests were conducted to gain a comprehensive understanding of surface roughness effects on fatigue behavior. The sensitivity to surface roughness is shown to be dependent on the control mode, with stress-based fatigue tests showing greater sensitivity than strain-based fatigue tests. Moreover, the fatigue life estimation for as-built specimens was performed based on surface roughness parameters as well as the fatigue properties of the specimens in machined/polished surface condition of the material without using any fatigue data of specimens in as-built surface condition. Accordingly, the effect of surface roughness on the fatigue behavior could be estimated reasonably well in both strain-life and stress-life approaches.
机译:在其构建的表面条件下,加薄的金属部件的疲劳强度主要由表面粗糙度主导。后处理通常是不可避免的,以降低表面粗糙度效应,即使后处理减少了添加剂制造的主要优点,这是净形直接的服务生产。本研究调查了原制和机加工/抛光表面条件中加工/抛光的304L不锈钢部件的疲劳失效负责的潜在机制。进行应变和力控制的,进行完全反转的疲劳试验,以全面了解对疲劳行为的表面粗糙度影响。表面粗糙度的敏感性显示为依赖于控制模式,基于应力的疲劳试验表明比基于菌株的疲劳试验更大的灵敏度。此外,基于表面粗糙度参数进行了造成样品的疲劳寿命估计,以及材料的机床/抛光表面状况中试样的疲劳性能,而不使用竣工表面条件的任何疲劳数据。因此,在应变寿命和应力 - 生命方法中,可以合理地估计表面粗糙度对疲劳行为的影响。

著录项

  • 来源
    《International Journal of Fatigue》 |2020年第12期|105856.1-105856.14|共14页
  • 作者单位

    Department of Mechanical Engineering Auburn University Auburn AL 36849 USA National Center for Additive Manufacturing Excellence (NCAME) Auburn University Auburn AL 36849 USA;

    National Center for Additive Manufacturing Excellence (NCAME) Auburn University Auburn AL 36849 USA Material Physical and Chemical Sciences Center Sandia National Laboratories Albuquerque NM 87185 USA;

    Department of Mechanical Engineering Auburn University Auburn AL 36849 USA National Center for Additive Manufacturing Excellence (NCAME) Auburn University Auburn AL 36849 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Laser beam powder bed fusion (LB-PBF); Surface topology; Stainless steel; Fatigue behavior; Fatigue life estimation;

    机译:激光束粉床融合(LB-PBF);表面拓扑;不锈钢;疲劳行为;疲劳生活估计;

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