Improving the surface quality of maraging 300 parts produced via laser powder bed fusion through powder distribution selection and optimized laser remelting

被引:1
作者
Sinico, Mirko [1 ]
Witvrouw, Ann
Dewulf, Wim [1 ]
机构
[1] Katholieke Univ Leuven, Dept Mech Engn, B-3001 Leuven, Belgium
关键词
MECHANICAL-PROPERTIES; STEEL; PARAMETERS; MICROSTRUCTURE; COMPONENTS;
D O I
10.1016/j.jmapro.2025.02.014
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This work examines the impact of powder particle size distribution (PSD) on the surface finish of maraging 300 steel parts produced by laser powder bed fusion (LPBF). After an initial selection of two suitable powder raw materials, Mar 10-30 and Mar 15-45, the study demonstrates that finer powders lead to significantly smoother upfacing surfaces, with up to a 50 % reduction in surface roughness (Ra). The Mar 10-30 distribution not only produces superior surface quality but also allows for more advanced LPBF processing strategies. These strategies combine small layer thicknesses with laser remelting, demonstrating that top surface roughness can be reduced to as low as 1.5 mu m Ra. Finally, an outlook is given, suggesting that properly engineered powders, together with optimized LPBF processing parameters, enable the fabrication of both vertical single-track ridges or thin-walls down to similar to 100 mu m thickness and basic texturing patterns, offering a cost-effective insitu LPBF alternative to post-processing texturing. These developments open new possibilities for the surface finish and functionalization of LPBF components while increasing the precision and feature resolution in LPBF parts.
引用
收藏
页码:38 / 49
页数:12
相关论文
共 68 条
[1]  
Allen T., 2003, Powder Sampling and Particle Size Determination, P524
[2]  
Annamaria G, 2022, INT J ADV MANUF TECH, V120, P1433, DOI 10.1007/s00170-022-08840-x
[3]   Effects of Process Parameters on the Surface Roughness of Stainless Steel 316L Parts Produced by Selective Laser Melting [J].
Aqilah, Derahman Nur ;
Sayuti, Ab Karim Mohd ;
Farazila, Yusof ;
Suleiman, Dambatta Yusuf ;
Amirah, Mohd Amran Nor ;
Izzati, Wan Badiuzaman Wan Nur .
JOURNAL OF TESTING AND EVALUATION, 2018, 46 (04) :1673-1683
[4]   Application of Laser-Based Powder Bed Fusion for Direct Metal Tooling [J].
Asnafi, Nader .
METALS, 2021, 11 (03) :1-48
[5]   Statistical modelling and optimization of surface roughness in the selective laser sintering process [J].
Bacchewar, P. B. ;
Singhal, S. K. ;
Pandey, P. M. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2007, 221 (01) :35-52
[6]   Influence mechanism of parameters process and mechanical properties evolution mechanism of maraging steel 300 by selective laser melting [J].
Bai, Yuchao ;
Yang, Yongqiang ;
Wang, Di ;
Zhang, Mingkang .
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2017, 703 :116-123
[7]   Effect of laser surface remelting on Microstructure, mechanical properties and tribological properties of metals and alloys: A review [J].
Bukhari, Syed Masood Arif ;
Husnain, Naveed ;
Siddiqui, Farrukh Arsalan ;
Anwar, Muhammad Tuoqeer ;
Khosa, Azhar Abbas ;
Imran, Muhammad ;
Qureshi, Tahir Hassan ;
Ahmad, Rauf .
OPTICS AND LASER TECHNOLOGY, 2023, 165
[8]   Experimental investigation and statistical optimisation of the selective laser melting process of a maraging steel [J].
Casalino, G. ;
Campanelli, S. L. ;
Contuzzi, N. ;
Ludovico, A. D. .
OPTICS AND LASER TECHNOLOGY, 2015, 65 :151-158
[9]   Powder-size driven facile microstructure control in powder-fusion metal additive manufacturing processes [J].
Chandra, Shubham ;
Wang, Chengcheng ;
Tor, Shu Beng ;
Ramamurty, Upadrasta ;
Tan, Xipeng .
NATURE COMMUNICATIONS, 2024, 15 (01)
[10]   Process parameter optimization of metal additive manufacturing: a review and outlook [J].
Chia, Hou Yi ;
Wu, Jianzhao ;
Wang, Xinzhi ;
Yan, Wentao .
JOURNAL OF MATERIALS INFORMATICS, 2022, 2 (04)