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.

Abstract Title: Lowering Operational Costs of Passive Electronic Systems using Additive Manufacturing for High-Power Microwave Systems
Abstract: Additive manufacturing (AM) is increasingly being leveraged across various manufacturing sectors with a plethora of applications, primarily due to low processing cost, quicker market adoption, faster production, and easier access to raw materials. Therefore, AM has been incorporated at unprecedented levels to manufacture either full systems, components, or sub-components in next-generation electronics. Modern-day electronic systems rely heavily on conducting materials such as expensive and rare-earth metals (lanthanides, scandium, and yttrium), which are difficult to extract and process in large volumes. Moreover, industries and government agencies around the world are keen on reducing the cost per electronic system by 10 to 50X. This talk discusses some of the past efforts that leveraged AM and followed by metallization to build passive electronic systems that have not only reduced the time to prototype and cost but also delivered performance ranging from satisfactory to exceptional, matching well with full-wave electromagnetic simulations. The crux of this talk will emphasize a couple of passive electronic systems with the goal of achieving desired electrical, mechanical, and thermal performance at a fraction of the cost. Conventional implementations typically featuring thin electroplating on lightweight substrates are inherently not optimized to withstand extreme peak-power densities. Specialized adaptations, such as all-metal builds and thicker conductive layers, are desired to meet the stringent requirements of breakdown mitigation and thermal stability; however, these are usually expensive and heavy. In particular, this talk also draws a comparison between the electrical performance of a prototype manufactured using traditional methods and using AM. Ultimately, there is a growing need to create a digital model for the AM dielectrics that typically include dielectric permittivity and loss tangent, which can be frequency-dependent. Moreover, after metallization, surface roughness can appear, which also affects the electrical performance. Finally, this talk will end by highlighting the need to create better tools to quickly assess the performance (electrical, mechanical, and thermal) of AM models.

Abstract Title: From Technology to Strategy: A Gated Decision Framework for Integrating Metal Additive Manufacturing into Sustainable Industrial Systems
Abstract: Metal additive manufacturing (AM) has progressed from prototyping toward industrial
deployment, yet adoption remains uneven because many initiatives are still driven by
isolated process demonstrations rather than system-level manufacturing strategy. This
framework review proposes a gated decision workflow for integrating metal AM into
industrial systems by coupling process-family selection and route definition, Design for
Additive Manufacturing (DfAM) and sustainability considerations. The paper consolidates a
comparative matrix of six metal AM process families for early down-selection, introduces a
minimal evidence checklist linking each decision gate to required artifacts, and
contextualizes the workflow through representative part archetypes. The framework is
further supported by practical guidance on process-specific DfAM constraints, including
support strategy, residual stress, and surface integrity in powder bed fusion; shrinkage
driven design in sinter-based routes; and machining allowances in repair and hybrid
manufacturing. Rather than positioning metal AM as a universal substitute for conventional
manufacturing, this work defines it as a complementary, strategy-dependent enabler whose
sustainability benefits depend on system-level integration and application context. 

Abstract Title: Development of a Workflow for Topological Optimization of Cutting Tool Milling Bodies
Abstract: This study establishes a systematic and reproducible workflow for topology optimization
(TO) of indexable face milling cutter bodies with integrated internal coolant channels,
designed for Additive Manufacturing (AM) of metallic parts. Grounded in Design for
Additive Manufacturing (DfAM) principles, the workflow combines displacement-based TO
and computational fluid dynamics analysis to generate simulation-driven tool geometries
tailored to the constraints of AM. By leveraging iterative design knowledge, the proposed
methodology enhances the scalability and repeatability of the design process, reducing
development time and supporting rapid adaptation across various tool geometries. AM is
explicitly exploited to integrate support-free internal coolant channels directed toward the
insert cutting edge, thereby achieving a 20% mass reduction relative to the initial milling
tool designs, and improving material usage efficiency at the design stage. The workflow
yields numerically optimized geometries that maintain simulated global stiffness under the
considered loading conditions and exhibit coolant flow distributions that effectively target
the exposed cutting edges. These simulation results demonstrate the feasibility of an AM
oriented, workflow-based approach for the numerical design of milling tools with internal
cooling, mass reduction and provide a focused basis for subsequent experimental validation
and comparison with conventionally manufactured counterparts

Abstract Title:  Novel Approaches to Eliminate Cracks in Laser Powder Bed Fusion-Based Additively Manufactured Metals
Abstract:  Laser powder bed fusion-based additive manufacturing (LPBF-AM) is a promising method to manufacture metal components with complex shapes and high mechanical properties. However, hot cracking is very difficult to be avoided in the LPBF-AM processing, especially for high strength aluminium alloys and nickel base superalloys, therefore limits applications of the manufactured components. The hot cracking arises from the rapid heating/cooling processes and great thermal gradient of the metals in the LPBF-AM processes. Great efforts in the past years have been made to eliminate the cracks by reducing cooling rate through optimising processing parameters or thermal gradient through heating the support substrate. This study, however, exposed either pre-treatment of raw powders by adding nano-particles to modify solidification behaviour or post-treatment of the components by a controlled heating/cooling process. Adding several nano-Ti containing particles spheroidized and refined grains significantly, so eliminated hot cracking and also improved mechanical properties of 7xxx and 2xxx series aluminium alloys.  Addition of nano-particles of Y₂O3 into the nickel base superalloy In738LC also reduced hot cracking tendency while didn’t refine grain structure. These results indicate different mechanisms of reducing hot cracking by adding nano-particles in different alloys systems. Furthermore, unlike conventional heat treatment, the post-treatment was conducted in a specially designed furnace, which provides an opportunity to hold the AMed components at a temperature above the alloy solidus and to cool under a small amount of hot isostatic pressing. This post-treatment can eliminate the printing cracks to make components with free of defects.