Agostino Igor Mirulla

Usability Assessment of Augmented Reality Applications for Fluid Machinery Education

Matteo Messina, Tommaso Ingrassia, Agostino Igor Mirulla, Emiliano Pipitone et autres

This paper aims to evaluate the usability and user experience of ad hoc augmented reality systems in the learning experience of mechanical engineering students, focusing on fluid machinery education. Three mobile augmented reality applications were developed to support teachers in explaining the …

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Effectiveness of Augmented Reality Visualisations in Engineering CAD Education

Matteo Vincenzo Messina, Tommaso Ingrassia, Agostino Igor Mirulla, Vito Ricotta et autres

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Development of a Subject-Specific Finite Element Framework for the Ankle Based on Gait Analysis

Agostino Igor Mirulla, Anna Ghidotti, Daniel Lanzoni, Daniele Landi et autres

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Vortex Lattice Method approach to sailing yacht foil design: feasibility and comparison with RANS method results

Antonino Cirello, Vincenzo Gulizzi, Antonio Mancuso, Agostino Igor Mirulla

Abstract The Reynolds-averaged Navier-Stokes (RANS) equations are the industry-standard computational fluid dynamics method for estimating forces, viscous effects, and boundary layer behaviour in various flow conditions, including adverse pressure gradients and flow-separation regimes. However, despite the ever-increasing availability of computational power, there …

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Development of a morphological parameter and hemodynamic analysis to assess aneurysm operability

Michael B. Tantillo, Giuseppe Craparo, Antonino Cirello, Gabriele Costantino et autres

Abstract Cerebral aneurysm is a complex vascular pathology, and the assessment of its rupture risk is often based on qualitative criteria and clinical expertise. The present study aims to develop an objective parameter to support risk evaluation by integrating morphological and hemodynamic …

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Evaluating the Efficiency of Nature-Inspired Algorithms for Finite Element Optimization in the ANSYS Environment

Antonino Cirello, Tommaso Ingrassia, Antonio Mancuso, Giuseppe Marannano et autres

Nature-inspired metaheuristics have proven effective for addressing complex structural optimization challenges where traditional deterministic or gradient-based methods often fall short. This study investigates the feasibility and benefits of embedding three prominent metaheuristic algorithms, the Genetic Algorithm (GA), the Firefly Algorithm (FA), and …

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Primary Stability Assessment of Patient-Specific Transfemoral Osseointegrated Implants During Static Load-Bearing Exercise: A Comparative Analysis

Andrea Valenti, Antonino Cirello, Tommaso Ingrassia, Giuseppe Marannano et autres

The long-term effectiveness of osseointegrated implants is heavily dependent on the short-term stability, primarily achieved immediately after surgery through a mechanical connection between the bone and the implant. The most common implant designs nowadays are straight and rely on screw or press-fit …

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Variations in bone mineral density after joint replacement: A systematic review examining different anatomical regions, fixation techniques and implant design

Domenico Alesi, Raffaele Zinno, Maria Scoppolini Massini, Giuseppe Barone et autres

Purpose: This study aims to evaluate postoperative periprosthetic bone mineral density (BMD) at various time points following joint replacement with different implant designs and fixation techniques. Methods: Database search was conducted on MEDLINE, Scopus, Cochrane Central Register of Controlled Trials, Web of …

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Influence of Polyethylene Insert Size on the Total Ankle Arthroplasty (TAA) Stability: A Dynamic FE Analysis

Laura Bragonzoni, Antonino Cirello, Tommaso Ingrassia, Agostino Igor Mirulla et autres

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The Effect of Implant Parameters on Primary Stability of Transhumeral Osseointegrated Implant

Antonino Cirello, Tommaso Ingrassia, Giuseppe Marannano, Agostino Igor Mirulla et autres

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Correction to: The Effect of Implant Parameters on Primary Stability of Transhumeral Osseointegrated Implant

Antonino Cirello, Tommaso Ingrassia, Giuseppe Marannano, Agostino Igor Mirulla et autres

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A New Automatic Process Based on Generative Design for CAD Modeling and Manufacturing of Customized Orthosis

Antonino Cirello, Tommaso Ingrassia, Giuseppe Marannano, Agostino Igor Mirulla et autres

As is widely recognized, advancements in new design and rapid prototyping techniques such as CAD modeling and 3D printing are pioneering individualized medicine, facilitating the implementation of new methodologies for creating customized orthoses. The aim of this paper is to develop a …

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