Investigation of dimensional and geometrical tolerances of laser powder directed energy deposition process

被引:4
作者
Piscopo, Gabriele [1 ]
Salmi, Alessandro [1 ]
Atzeni, Eleonora [1 ]
机构
[1] Politecn Torino, Dept Management & Prod Engn, Turin, Italy
来源
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY | 2024年 / 85卷
关键词
Additive manufacturing; Directed energy deposition; Laser metal deposition; Surface quality; Dimensional tolerances; Geometrical tolerances; PROCESS PARAMETERS; SURFACE-ROUGHNESS; PERFORMANCE; ACCURACY; DESIGN;
D O I
10.1016/j.precisioneng.2023.10.006
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Laser Powder Directed Energy Deposition (LP-DED) is a promising Additive Manufacturing (AM) technology that offers the opportunity of repairing and revamping damaged or outdated parts and molds. Notwithstanding, it should be considered that the low surface quality of the produced parts makes post-processing operations necessary in order to meet the industrial requirements, and these operations strongly depend on the accuracy of the produced parts. In this paper, firstly an artifact for the LP-DED process, including classical features with and without curvatures, is proposed. Then, the dimensional accuracy and geometrical tolerances of the features are evaluated, limited to AISI 316L stainless steel. The findings of this work showed that the dimensional and geometrical tolerances of the LP-DED process are comparable with those of sand casting. On the other hand, tolerances are lower compared to Laser Beam Powder Bed Fusion (LB-PBF) technologies but are similar to those observed in Electron Beam Powder Bed Fusion (EB
引用
收藏
页码:217 / 225
页数:9
相关论文
共 71 条
  • [1] ASTM International, 2021, ISO/ASTM 52900:2021(E)
  • [2] Processing of bulk alumina ceramics using laser engineered net shaping
    Balla, Vamsi Krishna
    Bose, Susmita
    Bandyopadhyay, Amit
    [J]. INTERNATIONAL JOURNAL OF APPLIED CERAMIC TECHNOLOGY, 2008, 5 (03) : 234 - 242
  • [3] 3D printing technique applied to rapid casting
    Bassoli, Elena
    Gatto, Andrea
    Iuliano, Luca
    Violante, Maria Grazia
    [J]. RAPID PROTOTYPING JOURNAL, 2007, 13 (03) : 148 - 155
  • [4] Ti6Al4V Parts Produced by Electron Beam Melting: Analysis of Dimensional Accuracy and Surface Roughness
    Borrelli, R.
    Franchitti, S.
    Pirozzi, C.
    Carrino, L.
    Nele, L.
    Polini, W.
    Sorrentino, L.
    Corrado, A.
    [J]. JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2020, 19 (01) : 107 - 130
  • [5] Defining Next-Generation Additive Manufacturing Applications for the Ministry of Defence (MoD)
    Busachi, Alessandro
    Erkoyuncu, John
    Colegrove, Paul
    Drake, Richard
    Watts, Chris
    Martina, Filomeno
    [J]. 5TH CIRP GLOBAL WEB CONFERENCE - RESEARCH AND INNOVATION FOR FUTURE PRODUCTION (CIRPE 2016), 2016, 55 : 302 - 307
  • [6] Investigation of accuracy and dimensional limits of part produced in aluminum alloy by selective laser melting
    Calignano, F.
    Lorusso, M.
    Pakkanen, J.
    Trevisan, F.
    Ambrosio, E. P.
    Manfredi, D.
    Fino, P.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 88 (1-4) : 451 - 458
  • [7] Overview on Additive Manufacturing Technologies
    Calignano, Flaviana
    Manfredi, Diego
    Ambmbrosio, Elisa Paola
    Biamino, Sara
    Lombmbardi, Mariangela
    Atzeni, Eleonora
    Salmi, Alessandro
    Minetola, Paolo
    Iuliano, Luca
    Fino, Paolo
    [J]. PROCEEDINGS OF THE IEEE, 2017, 105 (04) : 593 - 612
  • [8] Castillo, 2005, STUDY RAPID MANUFACT, P1
  • [9] DESIGN AND MANUFACTURE OF CUSTOMIZED DENTAL IMPLANTS BY USING REVERSE ENGINEERING AND SELECTIVE LASER MELTING TECHNOLOGY
    Chen, Jianyu
    Zhang, Zhiguang
    Chen, Xianshuai
    Zhang, Chunyu
    Zhang, Gong
    Xu, Zhewu
    [J]. JOURNAL OF PROSTHETIC DENTISTRY, 2014, 112 (05) : 1088 - +
  • [10] The role of additive manufacturing in the era of Industry 4.0
    Dilberoglu, Ugur M.
    Gharehpapagh, Bahar
    Yaman, Ulas
    Dolen, Melik
    [J]. 27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017, 2017, 11 : 545 - 554