Optimization of WAAM deposition patterns for T-crossing features

被引:76
|
作者
Venturini, Giuseppe [1 ]
Montevecchi, Filippo [1 ]
Scippa, Antonio [1 ]
Campatelli, Gianni [1 ]
机构
[1] Univ Firenze, Dept Ind Engn, Via Santa Marta 3, I-50139 Florence, Italy
关键词
Additive Manufacturing; Computer Aided Manufacturing (CAM); Welding; WIRE;
D O I
10.1016/j.procir.2016.08.043
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Among emerging additive manufacturing technologies for metallic components, WAAM (Wire and Arc Additive Manufacturing) is one of the most promising. It is an arc based technology characterized by high productivity, high energy efficiency and low raw material cost. Anyway, it has some drawbacks limiting its diffusion in the industry. One is the open issue about the layer deposition strategy that must be manually optimized in order to reduce as possible the residual stress and strains, efficiently matching the geometrical characteristics of the component to build and assure a constant height for each layer. This work deals with the definition of deposition paths for WAAM. The choice of a path must be carried out as a compromise between productivity and material usage efficiency. In the present paper, the process to select an optimized strategy for the manufacturing of T-crossing features will be shown. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:95 / 100
页数:6
相关论文
共 44 条
  • [31] Bromate-1,4-cyclohexanedione-ferroin gas-free oscillating reaction .1. Basic features and crossing wave patterns in a reaction-diffusion system without gel
    KurinCsorgei, K
    Zhabotinsky, AM
    Orban, M
    Epstein, IR
    JOURNAL OF PHYSICAL CHEMISTRY, 1996, 100 (13): : 5393 - 5397
  • [32] Clinical Features, Therapy Patterns and Survival Outcomes of Limited-Stage Peripheral T-Cell Lymphomas: A Cross-Continental Study
    Garcia-Robledo, Juan Esteban
    Quintero, Henry
    Castro, Denisse
    Beltran, Brady E.
    Enriquez, Daniel J.
    Vasquez, Jule F.
    Roche, Claudia
    Artiles, Daniel
    Valvert, Fabiola
    Martinez, Luis Mario Villela
    Pereira, Juliana
    Oliver, Ana Carolina
    Tavarez, Jamila Vaz
    Brasil, Sergio Augusto B.
    Cecyn, Karin Z.
    Castro, Nelson S.
    Baptista, Renata Lyrio R.
    Medina, Samuel S.
    Borducchi, Davimar Miranda Maciel
    Bellesso, Marcelo
    De Farias, Danielle Leao Cordeiro
    Gonzaga, Yung
    Korin, Laura
    Pereyra, Patricio
    Pena, Camila
    Roa, Macarena
    Viera, Maria Alejandra Torres
    Meza, Kelly
    Von Glasenapp, Seisha
    Quiroz, Alfredo
    Samanez-Figari, Cesar
    Jimenez, Rosa Oliday Rios
    Paredes, Sally
    Fischer, Thais
    Trabolsi, Asaad
    Schatz, Jonathan H.
    Iyer, Swaminathan P.
    Nair, Ranjit
    Saul, Eduardo Edelman
    Bermack, Casey
    Castillo, Jorge J.
    De Souza, Carmino
    Miranda, Eliana
    Valcarcel, Bryan
    Chiattone, Carlos
    Castillo, Luis Enrique Malpica
    BLOOD, 2024, 144 : 1687 - 1689
  • [33] CD4+ T Cells Recognize Conserved Influenza A Epitopes through Shared Patterns of V-Gene Usage and Complementary Biochemical Features
    Greenshields-Watson, Alexander
    Attaf, Meriem
    MacLachlan, Bruce J.
    Whalley, Thomas
    Rius, Cristina
    Wall, Aaron
    Lloyd, Angharad
    Hughes, Hywel
    Strange, Kathryn E.
    Mason, Georgina H.
    Schauenburg, Andrea J.
    Hulin-Curtis, Sarah L.
    Geary, James
    Chen, Yuan
    Lauder, Sarah N.
    Smart, Kathryn
    Vijaykrishna, Dhanasekaran
    Grau, Miguel L.
    Shugay, Mikhail
    Andrews, Robert
    Dolton, Garry
    Rizkallah, Pierre J.
    Gallimore, Awen M.
    Sewell, Andrew K.
    Godkin, Andrew J.
    Cole, David K.
    CELL REPORTS, 2020, 32 (02):
  • [34] Evaluation of Wire Electrical Discharge Machining Performance Features on EN AW-6082 T6 Aluminum Alloy and Optimization of Machining Characteristics
    D. Srinivasan
    M. Fakkir
    K. Lenin
    D. Jafrey Daniel James
    G. Karthik Pandiyan
    Journal of Materials Engineering and Performance, 2024, 33 : 3546 - 3558
  • [35] Evaluation of Wire Electrical Discharge Machining Performance Features on EN AW-6082 T6 Aluminum Alloy and Optimization of Machining Characteristics
    Srinivasan, D.
    Fakkir, M.
    Lenin, K.
    James, D. Jafrey Daniel
    Pandiyan, G. Karthik
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2024, 33 (07) : 3546 - 3558
  • [36] Tribological investigation and process optimization of dry sliding wear behavior for WS2 solid lubricant layer deposition on Al 6061-T6 surface
    Rajeshshyam, R.
    Venkatraman, R.
    Raghuraman, S.
    INDUSTRIAL LUBRICATION AND TRIBOLOGY, 2022, 74 (02) : 178 - 185
  • [37] Trace-element zoning patterns in porphyroblastic garnets in low-T eclogites: Parameter optimization of the diffusion-limited REE-uptake model
    Fukushima, Ryo
    Tsujimori, Tatsuki
    Aoki, Shogo
    Aoki, Kazumasa
    ISLAND ARC, 2021, 30 (01) : 1 - 17
  • [38] Clinical Features, Treatment Patterns, and Outcomes Among 837 Patients with Adult T-Cell Leukemia-Lymphoma in the Real-World Setting: A Comparison of Endemic Regions
    Valcarcel, Bryan
    Sano, Haruhiko
    Katsuya, Hiroo
    Utsunomiya, Atae
    Otsuka, Maki
    Miyahara, Masaharu
    Takamatsu, Yasushi
    Ishitsuka, Kenji
    Kimura, Shinya
    Suzumiya, Junji
    Tamura, Kazuo
    Enriquez, Daniel J.
    Castro, Denisse
    Beltran, Brady E.
    Idrobo, Henry
    Pena, Camila
    Fiad, Lorena
    Ramos, Juan Carlos
    Castillo, Luis Enrique Malpica
    BLOOD, 2022, 140 : 1072 - 1073
  • [39] Electrocardiographic features in Andersen-Tawil syndrome patients with KCNJ2 mutations -: Characteristic T-U-wave patterns predict the KCNJ2 genotype
    Zhang, L
    Benson, DW
    Tristani-Firouzi, M
    Ptacek, LJ
    Tawil, R
    Schwartz, PJ
    George, AL
    Horie, M
    Andelfinger, G
    Snow, GL
    Fu, YH
    Ackerman, MJ
    Vincent, GM
    CIRCULATION, 2005, 111 (21) : 2720 - 2726
  • [40] Deep Gray Matter Iron Deposition and Its Relationship to Clinical Features in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy Patients A 7.0-T Magnetic Resonance Imaging Study
    Sun, Chengyue
    Wu, Yue
    Ling, Chen
    Xie, Zhiying
    Kong, Qingle
    Fang, Xiaojing
    An, Jing
    Sun, Yunchuang
    Zhang, Wei
    Yang, Qi
    Wang, Zhaoxia
    Zhang, Zihao
    Yuan, Yun
    STROKE, 2020, 51 (06) : 1750 - 1757