首页> 外文会议>Conference on Structural Integrity of Additive Manufactured Parts >Primary Processing Parameter Effects on Defects and Fatigue in Alloy 718
【24h】

Primary Processing Parameter Effects on Defects and Fatigue in Alloy 718

机译:对合金718中缺陷和疲劳的主要处理参数效应

获取原文

摘要

To guarantee the quality of additively manufactured parts, the processing-structure-property-performance (PSPP) relationship must be understood. Despite the current applications of additive manufacturing (AM) in various industries, a suitable understanding of material performance under fatigue loading conditions is lacking. Fatigue performance is largely driven by defects in the material, such as porosity and surface roughness. AM process optimization often is completed through trial-and-error iterations misguided by average values to characterize defects that do not capture the fatigue-limiting behavior. This work investigated the PSPP relationship for a range of AM processing parameters, resulting in variations in porosity and surface roughness for alloy 718 fabricated in the laser powder bed fusion AM process. Nondestructive and destructive characterization methods are used to determine the relationships between varied bulk and contour parameters to porosity and surface roughness characteristics. Porosity coupons with varied bulk parameters were built in the vertical orientation and the internal porosity size and shape metrics were measured using computed tomography. Fatigue testing on machined bars at the nominal parameter set was performed to determine the baseline performance of the AM material. Fatigue bars with as-built surfaces and varied contour parameters were built in the vertical orientation to determine the relationship between surface roughness and fatigue life. The surfaces were characterized before testing using areal surface metrology to determine the relationship of processing parameters to the standard height-based measurement methods. By using these methods, the determined PSPP relationships for porosity and surface roughness can be used to guide process optimization and to inform the qualification strategy for AM components.
机译:为了保证制造零件的质量,必须了解加工结构 - 性能(PSPP)关系。尽管目前在各个行业中的添加剂制造(AM)应用,但缺乏适当的疲劳负载条件下材料性能的理解。疲劳性能主要受到材料中缺陷的缺陷,例如孔隙率和表面粗糙度。 AM进程优化通常通过误导平均值的试验和错误迭代来完成,以表征不捕获疲劳限制行为的缺陷。这项工作研究了AM处理参数范围的PSPP关系,导致在激光粉末融合AM工艺中制造的合金718的孔隙率和表面粗糙度的变化。非破坏性和破坏性表征方法用于确定各种散装和轮廓参数之间的关系,对孔隙度和表面粗糙度特性。具有各种散装参数的孔隙率优惠券采用垂直方向构建,使用计算机断层扫描测量内部孔隙尺寸和形状度量。进行了标称参数集的加工条上的疲劳测试,以确定AM材料的基线性能。具有竣工表面和各种轮廓参数的疲劳杆呈垂直方向构建,以确定表面粗糙度与疲劳寿命之间的关系。在使用区域测量学之前测试之前的表面表征,以确定处理参数与基于标准高度的测量方法的关系。通过使用这些方法,所确定的孔隙度和表面粗糙度的PSPP关系可用于引导过程优化,并告知AM组件的资格策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号