Luca Pagani
Luca Pagani
Unknown affiliation
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Cited by
Cited by
Areal surface texture data extraction from X-ray computed tomography reconstructions of metal additively manufactured parts
A Townsend, L Pagani, P Scott, L Blunt
Precision Engineering 48, 254-264, 2017
Characterisation methods for powder bed fusion processed surface topography
S Lou, X Jiang, W Sun, W Zeng, L Pagani, PJ Scott
Precision Engineering 57, 1-15, 2019
Curvature based sampling of curves and surfaces
L Pagani, PJ Scott
Computer Aided Geometric Design 59, 32-48, 2018
Watershed segmentation of topographical features on freeform surfaces and its application to additively manufactured surfaces
S Lou, L Pagani, W Zeng, X Jiang, PJ Scott
precision engineering 63, 177-186, 2020
Characterisation of additively manufactured metal surfaces by means of X-ray computed tomography and generalised surface texture parameters
F Zanini, L Pagani, E Savio, S Carmignato
CIRP annals 68 (1), 515-518, 2019
Factors affecting the accuracy of areal surface texture data extraction from X-ray CT
A Townsend, L Pagani, L Blunt, PJ Scott, X Jiang
CIRP Annals 66 (1), 547-550, 2017
Towards a new definition of areal surface texture parameters on freeform surface
L Pagani, Q Qi, X Jiang, PJ Scott
Measurement 109, 281-291, 2017
Automated layerwise detection of geometrical distortions in laser powder bed fusion
L Pagani, M Grasso, PJ Scott, BM Colosimo
Additive Manufacturing 36, 101435, 2020
Towards a new definition of areal surface texture parameters on freeform surface: Re-entrant features and functional parameters
L Pagani, A Townsend, W Zeng, S Lou, L Blunt, XQ Jiang, PJ Scott
Measurement 141, 442-459, 2019
Uncertainty-guided intelligent sampling strategy for high-efficiency surface measurement via free-knot B-spline regression modelling
W Lu, L Pagani, L Zhou, X Liu, J Wang, R Leach, XJ Jiang
Precision Engineering 56, 38-52, 2019
Study of weighted fusion methods for the measurement of surface geometry
J Wang, L Pagani, RK Leach, W Zeng, BM Colosimo, L Zhou
Precision Engineering 47, 111-121, 2017
Indirect cutting tool wear classification using deep learning and chip colour analysis
L Pagani, P Parenti, S Cataldo, PJ Scott, M Annoni
The International Journal of Advanced Manufacturing Technology 111, 1099-1114, 2020
Parametrically designed surface topography on CAD models of additively manufactured lattice structures for improved design validation
Y Chahid, R Racasan, L Pagani, A Townsend, A Liu, P Bills, L Blunt
Additive Manufacturing 37, 101731, 2021
Surface texture evaluation of additively manufactured metallic cellular scaffolds for acetabular implants using X-ray computed tomography
S Lou, L Pagani, W Zeng, MU Ghori, X Jiang, PJ Scott
Bio-Design and Manufacturing 2, 55-64, 2019
Introduction of a Surface Characterization Parameter Sdrprime for Analysis of Re-entrant Features
A Townsend, L Pagani, PJ Scott, L Blunt
Journal of Nondestructive Evaluation 38 (2), 58, 2019
A categorical framework for formalising knowledge in additive manufacturing
Q Qi, L Pagani, PJ Scott, X Jiang
Procedia CIRP 75, 87-91, 2018
Multi-sensor multi-resolution data fusion modeling
D Tansky, A Fischer, BM Colosimo, L Pagani, YB Shabat
Procedia Cirp 21, 151-158, 2014
The effect of energy density and porosity structure on tensile properties of 316L stainless steel produced by laser powder bed fusion
S Cacace, L Pagani, BM Colosimo, Q Semeraro
Progress in Additive Manufacturing 7 (5), 1053-1070, 2022
A novel method for in-process inspection of lattice structures via in-situ layerwise imaging
BM Colosimo, F Garghetti, L Pagani, M Grasso
Manufacturing Letters 32, 67-72, 2022
Enabling metrology-oriented specification of geometrical variability–A categorical approach
Q Qi, L Pagani, X Jiang, PJ Scott
Advanced Engineering Informatics 39, 347-358, 2019
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