L’Associazione Italiana delle Tecnologie Manifatturiere (AITeM), insieme con il Cluster Nazionale Fabbrica Intelligente e con le università statunitensi Ohio State University e Texas A&M organizza, con il contributo della National Science Foundation (NSF), un tour guidato di importanti realtà manifatturiere (CIM 4.0, COMAU, BIREX, HPE Coxa, Streparava, ChilometroRosso), Università e laboratori di ricerca italiani, destinato a dottorandi di entrambe le sponde dell’oceano. Il tour prevede la partecipazione di 10 dottorandi americani ai quali verranno affiancati fino a 10 dottorandi italiani, per favorire la costituzione di gruppi di ricerca internazionali Italia-Stati Uniti d’America.
Ai partecipanti saranno offerte:
Ai partecipanti italiani selezionati verrà richiesto un contributo di partecipazione scontato di 650 euro, IVA inclusa. Questo perché la maggior parte dei costi di trasporto (inclusi treni e autobus noleggiati) e di alloggio (in camere doppie, con letto singolo per partecipante) sarà coperta da AITeM. Inoltre, AITeM e la controparte americana offriranno alcuni pasti (pranzi e cene) ai partecipanti.
I requisiti per la partecipazione sono i seguenti:
Per la partecipazione, gli interessati sono invitati a compilare, entro e non oltre il giorno 5 aprile 2024, la domanda di partecipazione.
La domanda dovrà essere corredata di un curriculum vitae ed una lettera motivazionale in lingua inglese in formato pdf. Il format per la preparazione della lettera motivazionale è disponibile in questa pagina.
I partecipanti saranno selezionati da una apposita Commissione individuata da AITEM che si baserà sui seguenti criteri:
La Commissione avrà la facoltà di richiedere un colloquio online ai candidati.
Ai partecipanti sarà rilasciato un certificato di partecipazione utile per il riconoscimento di CFU da parte dei rispettivi Collegi di Dottorato (numero di CFU suggeriti: 20).
Il progetto è reso possibile dal finanziamento National Science Foundation – bando IRES International Research Experiences for Students ottenuto dalla Prof.ssa Sarah Wolff della Ohio State University e dal Prof. Zhijian (ZJ) Pei – Texas A&M Engineering con il supporto di AITeM, che cofinanzierà i partecipanti italiani con risorse proprie.
SC1 – Advanced Processes and Robotics: The course aims to familiarize students with key robotics and metal processing technologies, including laser-based and unconventional methods, and their application in modern manufacturing. It will cover advanced manufacturing processes and robotics, starting with a classification based on physical principles or energy/tools used. Processes are grouped into thermal, mechanical, and other categories, with a focus on their principles, implementation, and current research. Emphasis will also be placed on safety and human-machine collaboration.
SC2 – Digital Manufacturing and Internet of Things: The course offers an in-depth look at Digital Manufacturing, the Internet of Things (IoT), and embedded systems, focusing on the necessary infrastructure for these technologies in production settings. It will cover definitions, applications, enabling technologies, current research, and industry best practices. Starting with sensor to gateway components (including sensors, actuators, microcontrollers, and Machine to Machine communications), it then progresses to gateway to cloud computing aspects (covering session layer protocols, and Web of Things and Semantic Web strategies). The final section explores IoT applications in the field, particularly Industrial IoT (IIoT) and its opportunities, concluding with a discussion on current challenges and limitations.
SC3 – Manufacturing Processes Simulation: The course delves into modeling and simulation for manufacturing processes, highlighting tools and platforms for simulations with a focus on computer techniques, domain-specific tools, and platforms. It covers complex system modeling, including biologically inspired simulations, agent-directed, multiscale, and performance analysis. The final section addresses the use of modeling and simulations in manufacturing, featuring case studies, current research, and technological advancements.
SC4 – Advanced Machining: This course introduces advanced machining technologies and their applications, starting with an overview of manufacturing systems and technologies to establish a foundational understanding. Key topics include the mechanics and models of machining, structure and components of machine tools, and the principles of computer numerical control. An overview of related research and current technological advancements will conclude the introductory part. Subsequently, the course will explore the application of modern IT technologies to machine tools for increasing the degree of automation.
SC5 – Additive Manufacturing: This course provides an overview of key additive manufacturing technologies for metals and polymers, focusing on significant aspects of the field. It includes topics such as design for Additive Manufacturing, topology optimization, CAD model adaptation, process design, and optimization of part placement. The course also covers support structure design, process monitoring, properties of materials produced by additive processes, post-processing, quality control, cost and time assessment, machine programming, and safety considerations.
SC6 – Manufacturing Sustainability: The ASI “Manufacturing Sustainability” aims to equip students with a comprehensive understanding of sustainable practices within the manufacturing sector. The short course covers key aspects such as environmental impact mitigation, economic considerations, social responsibility, and technological innovations. Students will be introduced to topics such as energy efficiency, waste minimization, ethical labor practices, emerging sustainable technologies, policy regulations, and real-world case studies. By integrating theory with practical insights, the course fosters critical thinking and prepares students to implement and advocate for sustainability in manufacturing processes, addressing environmental, economic, and social dimensions effectively.
SC7 – Augmented and Virtual Reality: This course delves into extended reality (XR) implementation in manufacturing, encompassing virtual reality (VR), augmented reality (AR), and mixed reality (MR). It starts with basic concepts, research updates, and recent XR applications. The curriculum explores major VR sets and devices and development platforms. Key XR applications in manufacturing, including design, prototyping, inventory management, accident prevention, and employee training, are examined. The course concludes with a discussion on the challenges and issues associated with XR in manufacturing.
SC8 – Horizontal and Vertical Integration: This course equips students with the principles and techniques necessary for systems integration in modern industries. It covers the foundations of systems integration, organizational models for smart factories, and essential technologies like sensors, actuators, and cloud-based data systems. The curriculum includes designing data collection platforms, automation principles, human-machine interfaces, data management, machine learning basics, performance control, and applying IoT technologies to business processes. It also explores data-driven decision-making and applying lean principles to digitalization for process and performance enhancements.
Intestazione
Oggetto: “Lettera Motivazionale per la Partecipazione al Progetto di Collaborazione Internazionale AITEM NSF IRES 2024”.
Contenuti
Interesse e obiettivi
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