Politecnico di Milano

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    179763 research outputs found

    Digital Twin for Factories: Challenges and Industrial Applications

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    The widespread adoption of digital technologies in factories has resulted in the generation of a vast amount of data, which has the potential to enhance efficiency and effectiveness in the manufacturing industry. However, collecting and analyzing these data require approaches and tools to design and operate complex digital models and infrastructures, also requiring transversal competencies. The Digital Twin approach can be exploited to couple assets with their digital counterparts to support analyses and decisions. In particular, a Digital Twin can be associated with a product, a specific machine tool or process, a production system, or an entire factory. This paper focuses on the application of Digital Twins in factories, proposing a framework to identify data flows and relevant digital tools for applications throughout the different phases of the factory lifecycle. Despite the great potential, Digital Twin in manufacturing is still hindered by certain limitations. Therefore, by drawing upon relevant literature, we define and highlight the key challenges that need to be addressed. Finally, the framework and the challenges are exploited to characterize three case studies, which demonstrate the application of Digital Twins during the design and execution phases

    A TMS-EEG Pre-processing Parameters Tuning Study

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    The integration of transcranial magnetic stimulation and electroencephalography (TMS-EEG) has been sought to explore connectivity and cortical excitability in healthy and pathological subjects. Although the number of studies in this field is continuously increasing, there is still no consensus on the pre-processing pipeline. The goal of this work is to study the effect of two pre-processing parameters, (i) the interpolation window size and (ii) the regularization parameter of the source-estimate-utilizing noise-discarding (SOUND) algorithm, on the resulting TMS-evoked potentials (TEPs) and five peaks of interest. The comparison of four combinations of parameters showed the effect of the parameters on the TMS residual artifacts, which resulted in major differences between TEPs in the early windows after the TMS pulses. The work showed how the interpolation window size and the regularization parameter influence the TEPs results and proposed a combination of parameters that retrieve information of interest, decreasing the amount of noise in data. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG

    Emerging materials for transition: A taxonomy proposal from a design perspective

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    In response to environmental challenges, design promotes emerging materials connected with the circular economy and environmental sustainability. However, there is confusion about their definition and contribution to sustainable design and production, showing a gap in their classification. This article proposes a taxonomy as a helpful tool to consolidate and unify terminology, definitions and general understanding of these emerging materials. An analysis of 31 real-world case studies helped outline the taxonomic proposal to formalise knowledge, fostering clarity in classifying and identifying them. The taxonomy aims to organise emerging materials, generate reflections, and encourage their responsible development, diffusion, and adoption

    Exploiting Virtual Reality to Design Exercises for the Recovery of Stroke Patients at Home

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    Stroke affects approximately fifteen million people worldwide annually, with im- paired hand function being one of its most common effects. Hemiparetic post-stroke patients suffer a mild loss of strength involving one side of their body: though not fully debilitating, it still impacts their everyday life activities. To prevent mobility deterioration, patients must perform well-focused and repetitive exercises during chronic rehabilitation. Virtual Reality (VR) emerges as an interesting tool in this framework, offering the possibility of training and measuring the patient’s performances in ecologically valid, engaging, and challenging environments. In recent years, there has been an increasing diffusion of accessible head-mounted displays that enhance the sense of realism and immersion in a virtual scene. To explore the feasibility and efficacy of VR immersion and game mechanics in rehabilitation programs, a VR system that allows users to rehabilitate their motor skills in a home-based environment has been designed and tested considering standard measures related to usability, immersion, workload, and simulator sickness, and with the involvement of rehabilitation experts. The results demonstrate how users and experts have received the application positively, highlighting the potential of VR applications for the future development of home-based rehabilitation programs

    Attractors for a fluid-structure interaction problem in a time-dependent phase space

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    This paper is concerned with the long-time dynamics of a fluid-structure interaction problem describing a Poiseuille inflow through a 2D channel containing a rectangular obstacle. Physically, this models the interaction between the wind and the deck of a bridge in a wind tunnel experiment, as time goes to infinity. Due to this interaction, the fluid domain depends on time in an unknown fashion and the problem needs a delicate functional analytic setting. As a result, the solution operator associated to the system acts on a time- dependent phase space, and it cannot be described in terms of a semigroup nor of a process. Nonetheless, we are able to extend the notion of global attractor to this particular setting, and prove its existence and regularity. This provides a strong characterization of the asymptotic behavior of the problem. Moreover, when the inflow is sufficiently small, the attractor reduces to the unique stationary solution of the system, corresponding to a perfectly symmetric configuration

    Special issue on artificial intelligence in thermal engineering systems

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    The special issue “AI in Thermal Engineering” covers the most recent studies with a focus on the applications of artificial intelligence (AI) technologies in thermal engineering systems. The overall aim is to report the latest advances of research and development, discuss the pros and cons, and explore the future perspectives on the synergy of AI and thermal engineering. Articles reporting original research contributions and critical reviews on adopting AI to address engineering problems of modeling, prediction, control, optimization, performance assessment, diagnosis of thermal engineering devices, components and systems are welcome. Special focus is given to those problems which have not been adequately addressed by adopting traditional methods due to limited knowledge and information, computation efficiency, capability of generalization and adaptation in applications, etc. The targeted engineering systems include energy storage devices, power plants, heat pumps and cooling or refrigeration plants, combined heat and power plants, buildings and district energy systems, renewable and clean energy systems, and other engineering systems involving thermal engineering processes. The special issue has received over 30 submissions, and a total of 10 technical papers are selected for publication which cover a broad range of applications including building energy systems, thermal power units, vehicles, and heat transfer processes. These papers addressed challenges and research gaps in adopting AI in real applications, such as model development and adaption, model interpretability, data imbalance, missing data imputation, etc

    Industrie dopo la dismissione, fra rischio e idrogeologico e rigenerazione dei contesti e paesaggi montani. Un progetto per le Alpi

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    Mountain ecosystems represent a precious and fragile resource for the protection and enhancement of biodiversity, the fight against climate change, the construction of an integrated system of ecological networks. From this awareness, the present contribution is divided into three parts: the first focuses on the dimension of hydrogeological risk within the most general territorial fragilities that affect our country, taking as a reference an integrated vision of water, territories, communities; the second part examines how industrial decommissioning, especially in Alpine region, can contribute to the mitigation of local hydrogeological risks as well as to the regeneration of contexts and landscapes; the third summarizes the ways in which a recent European research has addressed the issue of production decommissioning in the transnational Alps, with specific reference to integrated risk management and the possibilities of re-industrialization aimed at reconnecting the site to its territorial context

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