フォロー
Simone Romano
Simone Romano
GE Avio Aero
確認したメール アドレス: avioaero.it
タイトル
引用先
引用先
A comparison of fatigue strength sensitivity to defects for materials manufactured by AM or traditional processes
S Beretta, S Romano
International Journal of Fatigue 94, 178-191, 2017
5432017
Fatigue properties of AlSi10Mg obtained by additive manufacturing: Defect-based modelling and prediction of fatigue strength
S Romano, A Brückner-Foit, A Brandão, J Gumpinger, T Ghidini, S Beretta
Engineering Fracture Mechanics 187, 165-189, 2018
4252018
Qualification of AM parts: Extreme value statistics applied to tomographic measurements
S Romano, A Brandão, J Gumpinger, M Gschweitl, S Beretta
Materials & Design 131, 32-48, 2017
2342017
High cycle fatigue behavior and life prediction for additively manufactured 17-4 PH stainless steel: Effect of sub-surface porosity and surface roughness
S Romano, PD Nezhadfar, N Shamsaei, M Seifi, S Beretta
Theoretical and Applied Fracture Mechanics 106, 102477, 2020
1502020
Quality control of AlSi10Mg produced by SLM: Metallography versus CT scans for critical defect size assessment
S Romano, A Abel, J Gumpinger, AD Brandão, S Beretta
Additive Manufacturing 28, 394-405, 2019
1152019
LCF behaviour and a comprehensive life prediction model for AlSi10Mg obtained by SLM
S Romano, L Patriarca, S Foletti, S Beretta
International Journal of fatigue 117, 47-62, 2018
872018
Combined effect of surface anomalies and volumetric defects on fatigue assessment of AlSi7Mg fabricated via laser powder bed fusion
MH Nasab, S Romano, D Gastaldi, S Beretta, M Vedani
Additive Manufacturing 34, 100918, 2020
802020
A new FE post-processor for probabilistic fatigue assessment in the presence of defects and its application to AM parts
S Romano, S Miccoli, S Beretta
International Journal of Fatigue 125, 324-341, 2019
752019
HCF resistance of AlSi10Mg produced by SLM in relation to the presence of defects
S Romano, S Beretta, A Brandão, J Gumpinger, T Ghidini
Procedia Structural Integrity 7, 101-108, 2017
322017
Expression of additive manufacturing surface irregularities through a flaw-based assessment
J Gumpinger, AD Brandao, E Beevers, T Rohr, T Ghidini, S Beretta, ...
ASTM STP1620, 234-249, 2020
262020
Semi-probabilistic method for residual lifetime of aluminothermic welded rails with foot cracks
S Romano, D Manenti, S Beretta, U Zerbst
Theoretical and Applied Fracture Mechanics 85, 398-411, 2016
152016
LCF response of AlSi10Mg obtained by Additive Manufacturing
S Romano, S Beretta, S Foletti
Eighth International Conference on Low Cycle Fatigue, Dresden, 2017
102017
Probabilistic framework for defect tolerant fatigue assessment of AM parts applied to a space component
S Romano, S Beretta, S Miccoli, M Gschweitl
ASTM Symp on Structural Integrity of Additive Manufactured Parts, 2018
92018
Benchmark of a probabilistic fatigue software based on machined and as-built components manufactured in AlSi10Mg by L-PBF
F Sausto, S Romano, L Patriarca, S Miccoli, S Beretta
International Journal of Fatigue 165, 107171, 2022
82022
Quality control of cast iron: extreme value statistics applied to CT measurements
S Romano, S Beretta, M Cova
Procedia Structural Integrity 7, 275-282, 2017
72017
Determination of inspection intervals for welded rail joints on a regional network
S Romano, S Beretta, GS Galli, R Riccardo
Procedia Structural Integrity 4, 87-94, 2017
42017
Applicazione della micro-tomografia computerizzata a raggi X alla verifica della qualità di manufatti ottenuti per Additive Manufacturing
M Carboni, L Boniotti, S Romano
17° Congresso AIPnD, 1-9, 2017
22017
Probabilistic fatigue life assessment of additive manufacturing components through computational models
S Romano
Politecnico di Milano, Milan, Italy, 2018
12018
Qualification of AM parts: the application of extreme value statistics for volumetric defect analysis
S Romano, S Beretta, A Brandão, J Gumpinger, T Ghidini
14th European Conference on Spacecraft Structures, Materials and …, 2016
12016
Controllo qualità di componenti ottenuti per AM attraverso CT scan
S Romano, S Beretta
46° Convegno Nazionale AIAS, 2017
2017
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