Speakers

Abstract Title: 3D-Printable Geopolymeric Phygital Bricks with Embedded Edge Intelligence for
Sustainable Construction
Abstract: Additive manufacturing is reshaping the construction sector by enabling geometrical freedom, material efficiency, and functional integration within structural elements. Within this framework, the present work proposes a new generation of 3D-printable alkali-activated building units designed to combine structural performance, sustainability, and embedded digital intelligence. The research focuses primarily on the printability of alkali-activated (geopolymeric) materials formulated from industrial by-products such as blast furnace slag and fly ash. Particular attention is devoted to rheological optimization, extrudability, buildability, interlayer adhesion, and shape retention, ensuring compatibility with layer-by-layer deposition processes. Mix design strategies are developed to balance flowability and structural stability, minimizing collapse phenomena while preserving mechanical strength and long-term durability. The tailoring of aluminosilicate chemistry and particle packing is coupled with process parameter control to achieve repeatable and scalable 3D-printing performance. Beyond structural optimization, this work explores the co-design of material, geometry, and embedded cavities to enable the native integration of sensors, communication modules, and low-power electronics directly during the printing process. This approach transforms the printed element into a multifunctional component in which mechanical continuity, encapsulation reliability, and measurement accuracy are simultaneously ensured. Multi-scale validation is conducted at both brick and wall assembly levels to assess mechanical behavior, durability, and functional stability. The work also includes the study of forms and design solutions capable of making the developed elements repeatable and adaptable to different architectural configurations suitable for the construction sector. Material experimentation is combined with the definition of a modular and adaptable building system, guiding the research toward a finished product that can be articulated into panels, façade modules, cladding elements or urban furniture, replicable and customizable according to the needs of architecture and construction. Edge computing capabilities and compressed Machine Learning models are integrated within the printed units, allowing on-site data processing and reducing dependence on cloud-based infrastructures. Energy-aware communication protocols and ultra-low-power design strategies further enhance operational sustainability. By advancing the printability of alkali-activated materials and demonstrating their compatibility with embedded sensing and edge intelligence, this work contributes to the evolution of 3D printing in construction from purely geometric innovation toward fully integrated, multifunctional, and low-carbon building systems. The project establishes a scalable framework for smart, adaptive, and structurally reliable 3D-printed architecture aligned with circular economy principles.

Abstract Title: ESTIMATION OF PARAMETERS OF MAGNETICALLY COUPLED COILS USED IN WIRELESS POWER TRANSFER SYSTEMS
Abstract: This paper presents a procedure to identify the parameters of the wireless power transfer systems (WPTS) using the ANSYS Extractor Q3D Program. Because the WPTS operates at high frequency, between 50kHz and 30MHz It is necessary to generate the C, L, R, and G matrices for each operation frequency. For this, we use the ANSYS Extractor Q3D Program to compute the C, L, R, and G matrices, for different configurations, structures, frequencies and distances between coils. The C, G matrices that are generated by the software from the field simulator outputs are in a Maxwell matrix format. Since a standard SPICE component only has two terminals, the software derives a SPICE matrix format from the Maxwell capacitance and conductance elements. This is only necessary for the capacitance and conductance matrices, because both formats yield the same results for the inductance and resistance matrices. If, for each structure of the two magnetically coupled resonators we keep: the same relative position between the two coils, the same turn number, the same geometrical dimension of the conductors and the same conductor materials, finally, we can select the optimal solution.

Abstract Title: Rational Design of Bioinspired Nanoplatforms for Magneto Responsive Drug Delivery,
Growth Factor Stabilization, and Oxidative Stress Mediated Tissue Regeneration
Abstract: The rational engineering of biointerface regulated nanomaterials represents a promising
strategy for advancing wound healing and bone tissue regeneration. In this study,
multifunctional biomaterial platforms were developed through molecular level surface design
to integrate structural support, controlled therapeutic delivery, redox modulation, and favorable
protein interactions. A growth factor integrated composite hydrogel demonstrated optimized
pore architecture, enhanced hydration capacity, improved hemocompatibility, reduced
cytotoxicity, and accelerated wound closure in vivo, highlighting its regenerative efficacy. In
parallel, a surface engineered magnetic core shell nanocarrier enabled magnetically responsive
and sustained drug release while preserving serum protein structural stability, thereby
supporting regulated bio-nano interactions and rapid tissue repair. Additionally, a
glycosaminoglycan functionalized mineral nanocomposite incorporating reactive surface
groups exhibited enhanced cytocompatibility and effectively mitigated oxidative stress induced
apoptosis in vivo. Collectively, these platforms establish a unified paradigm of bioinspired
nanomaterial design that synergistically integrates structural biomimicry, antioxidant
functionality, and controlled molecular interactions, underscoring their translational potential
for advanced wound management and bone regenerative therapies.

Abstract Title: Hybrid Computational–Experimental Design Frameworks for Additive Manufacturing of Acoustic Metamaterials in Architectural Applications
Abstract: Additive manufacturing (AM) has enabled unprecedented geometric freedom in the fabrication of acoustic structures for architectural environments. However, the design-to-fabrication process for AM-based acoustic components remains highly iterative, often requiring extensive trial-and-error between simulation, prototyping, and experimental validation. This study proposes a hybrid computational–experimental design framework aimed at streamlining the development of architected acoustic materials and metamaterials for building applications. The framework integrates parametric acoustic simulation, machine learning–assisted optimization, and rapid AM prototyping with targeted experimental validation to reduce design inefficiencies. By linking digital design tools with experimental feedback loops, the approach enables more accurate prediction of broadband sound absorption and diffusion performance while accounting for manufacturing constraints and material properties. The research further investigates how iterative data-driven refinement can accelerate the translation of complex acoustic geometries from simulation to large-scale fabrication. The proposed methodology has the potential to significantly shorten development cycles, improve performance reliability, and support the deployment of customized acoustic solutions in architectural spaces. Ultimately, the study contributes toward establishing more efficient workflows for integrating AM technologies into architectural acoustics design practice.

Abstract Title:Thermal-Defect-Driven Digital Twin for Process Optimisation in Composite LSAM Tooling
Abstract: Large-scale additive manufacturing of composite tooling offers significant potential to reduce lead times while improving supply-chain sovereignty for advanced composite manufacturing. However, fused-granulate fabrication processes generate complex thermomechanical behaviours. At this scale, classical printing defects such as over- or under-extrusion, insufficient inter-bead adhesion, and local geometric deviations are amplified and directly affect the final tool shape required for composite forming operations. This work introduces a thermal-defect-driven digital twin designed to link LSAM process physics, material behaviour, and tooling requirements. The approach is implemented on the GEMINI3D platform using an ABB robotic system equipped with an EGM controller and a Dyze extrusion system. Within a human-centred framework, the digital twin integrates multi-source data including real-time process monitoring, numerical simulation outputs, experimental measurements, and operator knowledge. This integration provides a dynamic representation of bead deposition and thermal history throughout the manufacturing process. Both open-loop and closed-loop interactions are supported, enabling real-time adjustment of LSAM process parameters through AI-based modelling. The digital twin enables defect analysis at micro-, meso-, and macro-scales, addressing gaps, inconsistent extrusion, missing deposition, stringing, drool. In parallel, thermodynamic fields are analysed to optimise layer time between substrate and bead deposition, limiting decohesion, warpage, and material collapse. Preliminary results demonstrate a platform-level deployment of GEMINI3D for LSAM monitoring, an Error Twin capable of quantifying extrusion coefficient deviations, and a Defect Twin combining 5D vision, bead geometry reconstruction, and thermal-history estimation to adjust adhesion and porosity in real time. This approach supports first-time-right manufacturing by compensating for defects during deposition. It also enables advanced modelling of adhesion, thermodynamics, and microstructural evolution, allowing prediction of residual stresses and their influence on downstream composite lay-up. The digitalisation of tooling fabrication provides a robust pathway for producing composite tools that meet stringent dimensional and performance requirements.

Abstract Title: Polysaccharide-Based Smart PEGylated 3D Bioprinting Hydrogels for Biomedical Applications
Abstract: The rapid advancement of biomaterials science and additive manufacturing has positioned hydrogel-based systems at the forefront of next-generation biomedical technologies. Among these, polysaccharide-based hydrogels have attracted significant attention due to their intrinsic biocompatibility, biodegradability, and structural similarity to the extracellular matrix. However, their limited mechanical strength and stability often restrict their broader clinical translation. This keynote presentation will explore recent progress in the design and engineering of smart PEGylated polysaccharide hydrogels tailored for 3D bioprinting applications. By integrating polyethylene glycol (PEG) into natural polymer networks, these hybrid systems exhibit enhanced mechanical properties, tunable rheology, and improved printability while preserving biological functionality. Particular emphasis will be placed on stimuli-responsive behaviors, including pH, temperature, and enzymatic sensitivity, enabling dynamic interactions with biological environments. Furthermore, the talk will highlight advanced fabrication strategies for constructing complex, cell-laden 3D architectures with high spatial fidelity and viability. Applications in tissue engineering, regenerative medicine, and controlled drug delivery will be discussed, with a focus on translating laboratory-scale innovations into clinically relevant solutions. Finally, current challenges and future perspectives will be addressed, including scalability, bioink standardization, and regulatory considerations. This work underscores the potential of PEGylated polysaccharide hydrogels as versatile platforms for the development of next-generation biofabricated tissues and therapeutic systems.