Quagliato, Luca
Quagliato, Luca
Ingegneria industriale (29/10/12-)
A buckling instability prediction model for the reliable design of sheet metal panels based on an artificial intelligent self-learning algorithm
2021-01-01 Lee, S.; Quagliato, L.; Park, D.; Berti, G. A.; Kim, N.
A New Approach to Preform Design in Metal Forging Processes Based on the Convolution Neural Network
2021-01-01 Lee, S.; Quagliato, L.; Park, D.; Kwon, I.; Sun, J.; Kim, N.
Analytic temperature evaluation and process forces estimation for the RARR process of flat rings
2016-01-01 Quagliato, L.; Berti, G. A.
Change of the Yield Stress in Roll Formed ERW Pipes Considering the Bauschinger Effect
2017-01-01 Lee, J.; Kim, D.; Quagliato, L.; Kang, S.; Kim, N.
Contact geometry estimation and precise radial force prediction for the radial-axial ring rolling process
2018-01-01 Quagliato, L.; Berti, G. A.; Kim, D.; Kim, N.
Counter-Rotating Hoop Stabilizer and SVR Control for Two-Wheels Vehicle Applications
2023-01-01 Jung, C.; Lee, Y.; Yum, H.; Kwon, C.; Jang, C.; Quagliato, L.; Lee, T.
Design and numerical evaluation of recycled-carbon-fiber-reinforced polymer/metal hybrid engine cradle concepts
2019-01-01 Fonseca, J. H.; Han, G.; Quagliato, L.; Kim, Y.; Choi, J.; Keum, T.; Kim, S.; Han, D. S.; Kim, N.; Lee, H.
Development of an index model for oil canning of steel sheet metal forming products
2018-01-01 Kim, H.; Al-Saeedi, S.; Jang, C.; Quagliato, L.; Kim, N.
Experimental and numerical investigations on the failure behavior of metal skin and carbon fiber-reinforced polymer core structures considering layup and manufacturing process conditions
2022-01-01 Jang, S.; Quagliato, L.; Kim, N.
Expert-informed neural network (EINN) for the forming depth prediction from a small-scale sheet metal forming database
2025-01-01 Quagliato, L.; Perin, M.; Modanloo, V.; Lee, T.
Extreme gradient boosting-inspired process optimization algorithm for manufacturing engineering applications
2023-01-01 Lee, S.; Park, J.; Kim, N.; Lee, T.; Quagliato, L.
FEA Modeling of Soft Tissue Interaction for Active Needles With a Rotational Tip Joint
2022-01-01 Quagliato, L.; Ryu, S. C.
Gaussian process regression-driven deep drawing blank design method
2024-01-01 Lee, S.; Lim, Y.; Galdos, L.; Lee, T.; Quagliato, L.
Geometry evolution prediction and process settings influence in profiled ring rolling
2022-01-01 Mirandola, I.; Quagliato, L.; Berti, G. A.; Caracciolo, R.; Ryu, S. C.; Perin, M.; Kim, N.
Gradient Enhanced-Expert Informed Neural Network (GE-EINN) for Forming Depth Prediction from a Small-Scale Metal Stamping Dataset
2025-01-01 Modanloo, V.; Jang, S.; Lee, T.; Quagliato, L.
Gradient-enhanced neural network and extreme gradient boosting modeling for the prediction of the 3D bone mineral density distribution from 2D-DXA scans
2025-01-01 Seo, J; Quagliato, L; Chung, Ys; Lee, Ty
Heel pad's hyperelastic properties and gait parameters reciprocal modelling by a Gaussian Mixture Model and Extreme Gradient Boosting framework
2025-01-01 Quagliato, L.; Kim, S.; Hassan, O. R.; Lee, T.
Identification of heel pad thickness and visco-hyperelastic properties by finite element analysis and Gaussian process regression
2025-01-01 Lim, Y.; Quagliato, L.; Hassan, O. R.; Kang, B.; Jung, S.; Kim, Y.; Kim, S.; Lee, T.
Impact resistance of metal skin-carbon fiber reinforced polymer laminate structures for the production of lightweight vehicles body frame
2017-01-01 Quagliato, Luca; D., Kim; C., Jang; N., Kim; S., Hong
Influence of Grinding Tool Mesh Size and Rotational Speed on Post-Machining Quality of CFRP Laminates by Acceleration Signal and Surface Roughness Analyses
2024-01-01 Li, L.; Song, Z.; Zhang, X.; Wang, F.; Song, P.; Jin, K.; Lee, T.; Quagliato, L.