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Dr. Antonio Piccininni

Politecnico di Bari, Bari, Italy

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Antonio Piccininni, PhD: Research Associate at the Department of Mechanics, Mathematics and Management of Politecnico di Bari. Graduated as a master student at the Politecnico di Bari in 2012, completed his PhD course in 2019 discussing the investigation of innovative solutions to improve the formability of Al alloys. He has been visiting researcher at the Institute of Metal Research (Chinese Academy of Science, Shenyang, China) and at the Department of Integrated Engineering (Ohio State University, Columbus, USA). Started his current position as Research Associate in 2021 studying innovative methodologies toward a product’s full customization. His principal activities cover the material characterization and subsequent calibration of constitutive equations, the FE-based design of sheet metal forming process and the process optimization using multi-objective genetic algorithms.

Research Keywords & Expertise

Material Characterizat...
Inverse analysis for t...
FE model of the sheet ...
FE model of manufactur...
Optimization of manufa...

Fingerprints

14%
Inverse analysis for the material characterization
10%
FE model of the sheet metal forming processes (conventional and innovative)
10%
FE model of manufacturing processes (casting and prediction of the residual state of stress)
5%
Material Characterization

Short Biography

Antonio Piccininni, PhD: Research Associate at the Department of Mechanics, Mathematics and Management of Politecnico di Bari. Graduated as a master student at the Politecnico di Bari in 2012, completed his PhD course in 2019 discussing the investigation of innovative solutions to improve the formability of Al alloys. He has been visiting researcher at the Institute of Metal Research (Chinese Academy of Science, Shenyang, China) and at the Department of Integrated Engineering (Ohio State University, Columbus, USA). Started his current position as Research Associate in 2021 studying innovative methodologies toward a product’s full customization. His principal activities cover the material characterization and subsequent calibration of constitutive equations, the FE-based design of sheet metal forming process and the process optimization using multi-objective genetic algorithms.