Establishing specimen property to part performance relationships for laser beam powder bed fusion additive manufacturing

被引:25
|
作者
Soltani-Tehrani, Arash [1 ,2 ]
Shrestha, Rakish [1 ,2 ]
Phan, Nam [3 ]
Seifi, Mohsen [4 ,5 ]
Shamsaei, Nima [1 ,2 ]
机构
[1] Auburn Univ, Natl Ctr Addit Mfg Excellence NCAME, Auburn, AL 36849 USA
[2] Auburn Univ, Dept Mech Engn, Auburn, AL 36849 USA
[3] US Naval Air Syst Command NAVAIR, Struct Div, Patuxent River, MD 20670 USA
[4] Case Western Reserve Univ, Dept Mat Sci & Engn, Cleveland, OH 44106 USA
[5] ASTM Int, Washington, DC 20036 USA
关键词
Additive manufacturing; Laser beam powder bed fusion (LB-PBF); Process parameters; Melt pool; Porosity; Fatigue behavior; MELT POOL GEOMETRY; FATIGUE BEHAVIOR; STAINLESS-STEEL; PROCESSING PARAMETERS; TIME-INTERVAL; POROSITY; HEAT; TI-6AL-4V; DEFECTS; DENSITY;
D O I
10.1016/j.ijfatigue.2021.106384
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This study investigates the possibility of correlating specimen property to part performance for laser beam powder bed fusion (LB-PBF) additive manufacturing by altering the process parameters in order to create similar thermal histories experienced during fabrication. In particular, the effects of altering scanning speed on LB-PBF 17-4 precipitation hardening (PH) stainless steel (SS) parts with different geometries on the thermal history, as well as the resultant defect formation, microstructure, and fatigue behavior are studied. It was found that parts with different geometries, all fabricated using the same manufacturer recommended process parameters, exhibited different fatigue strengths, which challenges the specimen property to part performance correlation. Melt pool analysis revealed that altering scanning speed can affect the melt pool characteristics including its depth and overlap depth. Increasing the input energy within the process window, by decreasing the scanning speed during fabrication, was seen to result in deeper melt pools and melt pool overlaps, and consequently, less volumetric defects, specifically lack of fusion, in the material. Therefore, the scanning speed was adjusted for different geometries to result in similar melt pool characteristics, as an indicator of the thermal history experienced during fabrication, which also resulted in these parts having similar porosity. Accordingly, fatigue lives of parts fabricated with adjusted process parameters were observed to be within a similar range. While many other factors may be involved, the findings of this research indicate that maintaining a similar thermal history by altering the process parameters is critical in establishing reliable relationships between specimen property and part performance in additive manufacturing.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] An investigation into specimen property to part performance relationships for laser beam powder bed fusion additive manufacturing
    Shrestha, Rakish
    Shamsaei, Nima
    Seifi, Mohsen
    Nam Phan
    ADDITIVE MANUFACTURING, 2019, 29
  • [2] Additive manufacturing of glass with laser powder bed fusion
    Datsiou, Kyriaki Corinna
    Saleh, Ehab
    Spirrett, Fiona
    Goodridge, Ruth
    Ashcroft, Ian
    Eustice, Dave
    JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 2019, 102 (08) : 4410 - 4414
  • [3] A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
    Liu, Jia
    Ye, Jiafeng
    Izquierdo, Daniel Silva
    Vinel, Aleksandr
    Shamsaei, Nima
    Shao, Shuai
    JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 34 (08) : 3249 - 3275
  • [4] A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
    Jia Liu
    Jiafeng Ye
    Daniel Silva Izquierdo
    Aleksandr Vinel
    Nima Shamsaei
    Shuai Shao
    Journal of Intelligent Manufacturing, 2023, 34 : 3249 - 3275
  • [5] Predictive modeling of laser and electron beam powder bed fusion additive manufacturing of metals at the mesoscale
    Zakirov, Andrey
    Belousov, Sergei
    Bogdanova, Maria
    Korneev, Boris
    Stepanov, Andrey
    Perepelkina, Anastasia
    Levchenko, Vadim
    Meshkov, Andrey
    Potapkin, Boris
    ADDITIVE MANUFACTURING, 2020, 35
  • [6] Fatigue-based process window for laser beam powder bed fusion additive manufacturing
    Reddy, Tharun
    Ngo, Austin
    Miner, Justin P.
    Gobert, Christian
    Beuth, Jack L.
    Rollett, Anthony D.
    Lewandowski, John J.
    Narra, Sneha P.
    INTERNATIONAL JOURNAL OF FATIGUE, 2024, 187
  • [7] Additive manufacturing of NdFeB magnets by synchronized three-beam laser powder bed fusion
    Yu, Kai-Sheng
    Cheng, Chung-Wei
    Lee, An-Chen
    Jian, Wei-You Jhang
    Chang, Wen-Cheng
    Chang, Tsung-Wei
    Tsai, Mi-Ching
    OPTICS AND LASER TECHNOLOGY, 2022, 146
  • [8] On thermal properties of metallic powder in laser powder bed fusion additive manufacturing
    Zhang, Shanshan
    Lane, Brandon
    Whiting, Justin
    Chou, Kevin
    JOURNAL OF MANUFACTURING PROCESSES, 2019, 47 : 382 - 392
  • [9] Microstructural control in metal laser powder bed fusion additive manufacturing using laser beam shaping strategy
    Shi, Rongpei
    Khairallah, Saad A.
    Roehling, Tien T.
    Heo, Tae Wook
    McKeown, Joseph T.
    Matthews, Manyalibo J.
    ACTA MATERIALIA, 2020, 184 (284-305) : 284 - 305
  • [10] Laser Powder Bed Fusion Additive Manufacturing of Maraging Steel: A Review
    Kizhakkinan, Umesh
    Seetharaman, Sankaranarayanan
    Raghavan, Nagarajan
    Rosen, David W.
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2023, 145 (11):