Higher Institute on Territorial Systems for Innovation
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Predictive modeling and optimization of surface roughness in LPBF through artificial neural networks
No full textIn this study, experimental measurements of surface roughness were conducted on samples produced using Laser Powder Bed Fusion, with particular attention to the influence of scanning speed and laser power in both the body and contour regions. The roughness was evaluated at different heights within the build volume and across multiple surface orientations relative to the recoater blade. Based on the collected data, a feedforward Artificial Neural Network was trained using process parameters and geometrical factors (height and angle) as input, and experimentally measured roughness as output. The trained model achieved high predictive accuracy, with a Pearson correlation coefficient of 0.92 between predicted and measured values. Using the predictive capabilities of the Artificial Neural Network, it was possible to identify optimized combinations of process parameters for each combination of height and angle within the build volume. The optimization led to a significant reduction in surface roughness, lowering the minimum measured Ra (at Height = 15mm and Angle = 180°) from 5.51μm (experimentally obtained) to a predicted 3.46μm under the optimal parameter configuration, and achieving an average reduction of approximately 19.4% across the other positions
Model Updating of a 3D-Printed Metamaterial Sandwich Dynamic Response
No full textMetamaterials have gained significant attention in engineering applications due to their unique multifield properties and high strength-to-weight ratio. Additive manufacturing methods, such as filament deposition modelling, allow for the production of complex cellular structures, including metamaterial cores with customised mechanical performance. This study explores the dynamic behaviour of a sandwich beam made of aluminum face sheets and a 3D-printed cellular core with oriented hexahedral cells. A high-resolution laser scan is used to reconstruct the beam core geometry and develop a finite element model of the beam. An optimisation algorithm, combining a genetic algorithm and pattern search, is implemented in MATLAB to tune the anisotropic material properties of the model, based on the eigenvector and eigenvalue sensitivities. Numerical modal analysis is conducted using MSC.NASTRAN, while experimental modal analysis provides validation data. The final model accurately predicts dynamic behaviour up to 5000 Hz, providing a solid foundation for future optimisation of metamaterial structures
Prediction and Actual Block Recovery in Ornamental Stone Quarrying: Basic Features and Variability
No full textOrnamental stone quarrying represents a specific field in mining activities. Specific features are: excellent rock mass properties (fewjoints, durability); suitable exploitation methods (benched open pit, room and pillars); high quality and value of exploited rawmaterial (required “dimension” criterion for blocks, slabs, beams) to be used in building, arts, architecture.
Mining recovery rate is the main index to be satisfied, for the correct use of natural resources, for economic savings and to fulfillregulations concerning environmental restrictions for the reclamation of sites. Technology is also relevant, with development of toolsfor cutting, techniques for geostructural and topographical surveying and equipment for preparing final products.
This paper presents a procedure for a simplified approach to sustainable quarrying, thanks to about 30 years of experience indifferent quarry basins. Modern digital tools (LiDAR, GIS, CAD, Python programming, remote machine control) allow for predictingand controlling potential production, and the results can be directly observed during exploitation. Direct observation in different basins involves an emphasis of the strict relationship between main geostructural features, quarry face orientation and technology for cutting on the final results, providing learned lessons on a real base.
The output of this study is a tool to help reaching sustainable results in terms of recovery, economics, safety and valorization of theresource: waste and energy reduction, landscape suitable integration and preservation are unavoidable benchmarks of a goodmining project, even for underground exploitation
PATRIMONIO INDUSTRIALE E INNOVAZIONE TERRITORIALE. UN APPROCCIO DATA-DRIVEN PER VALORIZZARE L’IDENTITÀ DEL TERRITORIO CANAVESANO
No full textIndustrial tourism has emerged as a valuable opportunity for enhancing production sites. The Canavese area, known for its strong entrepreneurial tradition but limited tourism development, presents significant potential to leverage industry and culture as strategic drivers of regional development. While it is widely recognized for the tangible and intangible heritage of Olivetti in Ivrea, UNESCO World Heritage Site since 2018, its value extends beyond this heritage.
This study aims to build a structured knowledge base of events, initiatives, and experiences related to industrial tourism, in order to support projects and processes for the enhancement of Canavese. A systemic approach to innovation, combined with the development of 4 databases, supported the analysis of over 70 points of interest (POIs), including tourist sites, itineraries, events, and companies. Quantitative and qualitative data were further enriched through on-site visits.
The results highlight the strong link between industrial history and current productive activities
Muoversi in montagna, senz'auto? Il caso dell'Unione montana del Pinerolese
No full textI territori montani presentano generalmente caratteri di bassa densità, frammentazione, dispersione
delle destinazioni che, uniti alla conformazione geomorfologica, rendono l'automobile un mezzo spesso indispensabile per la mobilità. L'articolo presenta un'analisi della ‘dipendenza' dall'uso dell'automobile nell'area dell'Unione montana del Pinerolese, nella Città metropolitana di Torino. I risultati mostrano come tale dipendenza, benché elevata in tutto il territorio considerato, si configuri in forme diverse nelle varie parti dell'Unione, a seconda dei fattori (offerta di trasporto, caratteri del sistema insediativo, aspetti sociodemografici) che ne sono alla base. Profilare queste diverse declinazioni della dipendenza dall'automobile
è essenziale per impostare politiche efficaci nell'affrontarla
Modeling moisture buffering of innovative plasters from material properties to room scale
No full textPassive moisture buffering can stabilize indoor microclimates and reduce cooling energy use, yet reliable prediction across scales remains challenging. This study presents a simplified characterization-to-modeling workflow that links laboratory measurements to room-scale performance. Step-response tests in a dynamic vapour sorption (DVS) analyzer were interpreted with a Fickian diffusion model fitted via root-mean-square error minimization, yielding effective moisture diffusivities of D ∼1.84 × 10−8 m2s−1 for the lime plaster and D ∼1.17 × 10−9 m2s−1 for a plaster containing 20 % calcium alginate beads. Vapour-resistance factor functions derived from these fits and from sorption isotherms were validated against NORDTEST MBV dynamic measurements, with the best agreement for both mass change (Δm) and MBV at a surface resistance of 0.1 m2KW−1 (errors: 0.67 % lime; 1.59 % alginate). Year-long building simulations then quantified room-scale impacts: the alginate-enhanced plaster attenuated indoor RH fluctuations more effectively than lime, with attenuation factors spanning from 0.2 to 0.8 depending on the moment of the year and the simulated scenario. Energy analyses showed substantial reductions in latent cooling (up to ∼100 % in scenarios with wider indoor relative humidity control band) and up to 11.2 % lower total cooling energy versus lime, with similar sensible loads. The results demonstrate a practical, scalable pathway from material properties to performance, and highlight alginate-enhanced plasters as promising passive components for humidity stabilization and energy-efficient building design and retrofits
Enhancing Thermal Efficiency Assessment in High-Altitude Footwear
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Treatment Planning and Real-time Temperature Monitoring in Microwave Cancer Hyperthermia
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