Personale docente

Marco Negozio, PhD

Via Marscianese 98/a
06054 Fratta Todina (PG), Italy

Phone: (+39) 3924100734
Email: marco.negozio@unipr.it | negozio.marco@gmail.com

Researcher – Università di Parma

Academic Profiles

UNIPR
https://personale.unipr.it/it/ugovdocenti/person/254402

ORCID
https://orcid.org/0000-0002-4673-4339

LinkedIn
https://linkedin.com/in/phd-marco-negozio

ResearchGate
https://www.researchgate.net/profile/Marco-Negozio

Scopus
https://www.scopus.com/authid/detail.uri?authorId=57216945246

Google Scholar
https://scholar.google.com/citations?user=U7tl_BkAAAAJ&hl=it&oi=ao

Research Activity

The research activity mainly focuses on the following topics.

• Analysis and optimization of extrusion processes for light and ultra-light alloys, including the experimental, numerical, and analytical prediction of process defects and microstructural evolution. The work involves advanced process modeling and validation through experimental case studies, numerical–experimental monitoring and assessment of the effects of forced cooling using liquid nitrogen, and numerical–experimental analysis of extrusion die service life. Additional activities include the development of new material characterization tests, benchmarking of FEM codes for process modeling, additive manufacturing of inserts with conformal cooling channels using Selective Laser Melting (SLM), investigation of multilayer anti-wear coatings, and multi-objective optimization of processes and components.
• A hybrid approach is employed for process parameter optimization, combining finite element simulations with machine learning algorithms to predict the microstructure and mechanical properties of extruded profiles made from AA6XXX series aluminum alloys.
• Recrystallization models are also developed for FEM simulations of innovative solid-state processes such as Friction Stir Welding (FSW) and Friction Stir Extrusion (FSE), which represent sustainable manufacturing solutions for modern industrial applications.
• The research also includes the characterization of the flow stress behavior of metallic materials using a torsion testing machine. This activity involves experimental analysis, acquisition of flow stress data under different process conditions, calibration of the Hensel–Spittel flow stress model, optimization of experimental constants, and validation of the developed model through numerical–experimental comparisons.
• Another research topic concerns the optimization of laser texturing processes for lithium-ion battery (LIB) current collectors to improve their performance and durability. This work includes numerical simulations and experimental characterization through scanning electron microscopy (SEM), optical microscopy, and mechanical adhesion tests.

Professional Experience

Assistant Professor (RTDa)
University of Parma – Department of Engineering for Industrial Systems and Technologies
October 2023 – Present

Research activities within the Italian National Research Program (PNR) “Innovation for Manufacturing Industry”, focusing on:

• high-precision manufacturing technologies
• zero-defect production
• data analytics and machine learning
• industrial metrology
• non-contact inspection techniques
• sustainable manufacturing systems

Research Fellow
University of Bologna – Department of Industrial Engineering
February 2023 – September 2023

Project title:
Prediction of grain size in the extrusion process of light alloys through numerical simulation and experimental testing.

Supervisor: Prof. Lorenzo Donati

Research Fellow
University of Bologna – Department of Industrial Engineering
June 2019 – October 2019

Project title:
Analysis and optimization of aluminum alloy extrusion processes.

Supervisor: Prof. Lorenzo Donati

Operations Engineering and Technical Department
Umbra Packaging S.r.l.
May 2018 – May 2019

Activities related to the design and development of packaging plants for bulk, powder, and granular materials.

Education

PhD in Automotive Engineering for Intelligent Mobility (XXXV cycle)
University of Bologna
2019 – 2023

Thesis:
Numerical Modeling and Experimental Validation of the Recrystallization Behaviour in the Extrusion of 6XXX Aluminum Alloys

Supervisor: Prof. Lorenzo Donati

MSc in Mechanical Engineering
University of Bologna
2015 – 2018

Thesis:
Case Study Umbra Group SpA: Lean Production and Management of Facilities and Maintenance Department

BSc in Mechanical Engineering
University of Perugia
2011 – 2015