3D Printing and Engineering Tools Relevant to Plan a Transcatheter Procedure

Advance cardiac imaging techniques such as three-dimensional (3D) printing technology and engineering tools have experienced a rapid development over the last decade in many surgical and interventional settings. In presence of complex cardiac and extra-cardiac anatomies, the creation of a physical, patient-specific model is useful to better understand the anatomical spatial relationships and formulate the best surgical or interventional plan. Although many case reports and small series have been published over this topic, at the present time, there is still a lack of strong scientific evidence of the benefit of 3D models and advance engineering tools, including virtual and augmented reality, in clinical practice and only qualitative evaluation of the models has been used to investigate their clinical use. Patient-specific 3D models can be printed in many different materials including rigid, flexible and transparent materials, depending on their application. To plan interventional procedure, transparent materials may be preferred in order to better evaluate the device or stent landing zone. 3D models can also be used as an input for augmented and virtual reality application and advance fluido-dynamic simulation, which aim to support the interventional cardiologist before entering the cath lab. The aim of this chapter is to present an overview on how 3D printing, extended reality platforms and the most common computational engineering methodologies"finite element and computational fluid dynamics"are currently used to support percutaneous procedures in congenital heart disease (CHD), with examples from the scientific literature

Integrating 3D Printing Technologies into Architectural Education as Design Tools

3D printing technology offers the chance to produce very small-scale, complex forms that could help to improve educational materials for architectural design. In this age of technological advances, architectural education needs to integrate modern teaching methods that could enhance students’ visual perception. This research thus examined the impact of computational design modeling and 3D printing technology on the spatial cognition of architecture students. It starts with the premise that the use of the 3D printed models will support design logic and improve the deep understanding of spatial perception among students. Thirty architecture students were asked about a designed project realized for the purpose of this study. They were presented both a project designed via computer modeling software and a printed model of the same project. The outcomes indicate that the use of 3D printing gave better results in the development of students’ spatial abilities. The findings also confirm that adopting this technology in the development of teaching tools will enhance students’ spatial perception and extend beyond the seamless materialization of the digital model which can continuously inform design ideation through emerging perception qualities

Youth’s Perspectives of Computational Design in Making-based Coding Activities

There are increasing calls to introduce coding in K-12 in creative ways that provide opportunities for personal expression. Computational design projects include computational concepts fundamental to computer science to generate 2D and 3D models that can potentially be personally meaningful. We developed and implemented making-based coding activities for youth that combine computational design and 3D printing tools and allow the participants to design and fabricate free-choice projects. To investigate how young persons engaged in computational design and which aspects demotivated them, we used a mixed-methods approach that included semi-structured interviews and questionnaires. We took field notes and collected students’ artifacts to triangulate the data wherever possible. The results show that 3D printing, creating unique aesthetics, enhanced personalization, and ownership of design models are crucial elements for engaging youth in computational design. We discuss the implications of our exploratory study and suggest directions for future work in developing computationally rich making-based activities

Interacting with Acoustic Simulation and Fabrication

Incorporating accurate physics-based simulation into interactive design tools is challenging. However, adding the physics accurately becomes crucial to several emerging technologies. For example, in virtual/augmented reality (VR/AR) videos, the faithful reproduction of surrounding audios is required to bring the immersion to the next level. Similarly, as personal fabrication is made possible with accessible 3D printers, more intuitive tools that respect the physical constraints can help artists to prototype designs. One main hurdle is the sheer amount of computation complexity to accurately reproduce the real-world phenomena through physics-based simulation. In my thesis research, I develop interactive tools that implement efficient physics-based simulation algorithms for automatic optimization and intuitive user interaction.Comment: ACM UIST 2017 Doctoral Symposiu

Making Rules, Making Tools: How Can Shape Grammar Support Creative Making?

Design theory has previously studied the practices of architects, industrial designers and engineers. Designer-makers, designers who work independently, designing and making objects with close attention to tools and materials, have not been similarly studied. A renewed interest in craft and making, in part catalysed by new computational and digital fabrication tools at designer’s disposal, strengthens the case for studying successful design-through-making processes. An analogy between rules transforming shapes and tools transforming material provided the initial indication that concepts from shape grammar could be aligned with making processes, to potentially support creative making and deliver new theoretical and applied knowledge for both spheres. The first part of the thesis examines shape grammar theory as a method of modelling designer-maker creative episodes, to inform designer practice. Evidence was gathered from interviews with designer-makers, observations from a design process carried out by the author and other literature on designer-makers. This evidence was analysed in the context of shape grammar and established creativity literature in order to seek formal descriptions of creative episodes. It was found that designer-makers used tools to define personal and shared design worlds and focussed on and undertook specific activities relating to tools which have been classified; tool selection, tool combination and tool transformation, all of which have creative potential. Tool transformation was found to have further scope for definition and it was found that designers can perform parametric, functional and reformatting transformations on tools to produce new and useful design outcomes. Shape grammar schemas were found to provide useful descriptors for the operations performed by designer-makers on tools. The second part of the thesis inquires if shape grammar as a design method can support creative computational making, by specifically exploring the use of shape grammar weights, a way of modelling material properties alongside shape operations, as a tool for generating designs for multi-material 3D printing. A number of design reasoning and computational making experiments were carried out and the process and results reported and considered. The outcome is a range of specified weights systems and a general schema for defining and using weights as tool for managing material properties for multi-material 3D printing that can be used and transformed by computational makers. The general weights schema also extends previous theoretical definitions of shape grammar weights. This part of the thesis also demonstrated the importance of tool development and transformation as a basis for creative episodes in design-through-making processes

A scalable parallel finite element framework for growing geometries. Application to metal additive manufacturing

This work introduces an innovative parallel, fully-distributed finite element framework for growing geometries and its application to metal additive manufacturing. It is well-known that virtual part design and qualification in additive manufacturing requires highly-accurate multiscale and multiphysics analyses. Only high performance computing tools are able to handle such complexity in time frames compatible with time-to-market. However, efficiency, without loss of accuracy, has rarely held the centre stage in the numerical community. Here, in contrast, the framework is designed to adequately exploit the resources of high-end distributed-memory machines. It is grounded on three building blocks: (1) Hierarchical adaptive mesh refinement with octree-based meshes; (2) a parallel strategy to model the growth of the geometry; (3) state-of-the-art parallel iterative linear solvers. Computational experiments consider the heat transfer analysis at the part scale of the printing process by powder-bed technologies. After verification against a 3D benchmark, a strong-scaling analysis assesses performance and identifies major sources of parallel overhead. A third numerical example examines the efficiency and robustness of (2) in a curved 3D shape. Unprecedented parallelism and scalability were achieved in this work. Hence, this framework contributes to take on higher complexity and/or accuracy, not only of part-scale simulations of metal or polymer additive manufacturing, but also in welding, sedimentation, atherosclerosis, or any other physical problem where the physical domain of interest grows in time

Numerical modelling of heat transfer and experimental validation in Powder-Bed Fusion with the Virtual Domain Approximation

Among metal additive manufacturing technologies, powder-bed fusion features very thin layers and rapid solidification rates, leading to long build jobs and a highly localized process. Many efforts are being devoted to accelerate simulation times for practical industrial applications. The new approach suggested here, the virtual domain approximation, is a physics-based rationale for spatial reduction of the domain in the thermal finite-element analysis at the part scale. Computational experiments address, among others, validation against a large physical experiment of 17.5 $\mathrm{[cm^3]}$ of deposited volume in 647 layers. For fast and automatic parameter estimation at such level of complexity, a high-performance computing framework is employed. It couples FEMPAR-AM, a specialized parallel finite-element software, with Dakota, for the parametric exploration. Compared to previous state-of-the-art, this formulation provides higher accuracy at the same computational cost. This sets the path to a fully virtualized model, considering an upwards-moving domain covering the last printed layers

Digital manufacturing: what are we able to print?

In a rational exercise, in the present paper it is extrapolated how the development of ICTs (information and communication technologies) and the incipient technological development of additive manufacturing has the potential to change our society. In the following, it is analyzing the evolution of man over physical matter and how this has shaped our society. The main milestones or key stages in history that have marked a transcendental change in the human-machine-environment relationship have been identified and consequently have led us to ask ourselves: What is next, how far are we, and what are we capable of printing? In an attempt to identify the current state of the art, highlighting the possibilities those additive technologies can offerPostprint (published version

AirCode: Unobtrusive Physical Tags for Digital Fabrication

We present AirCode, a technique that allows the user to tag physically fabricated objects with given information. An AirCode tag consists of a group of carefully designed air pockets placed beneath the object surface. These air pockets are easily produced during the fabrication process of the object, without any additional material or postprocessing. Meanwhile, the air pockets affect only the scattering light transport under the surface, and thus are hard to notice to our naked eyes. But, by using a computational imaging method, the tags become detectable. We present a tool that automates the design of air pockets for the user to encode information. AirCode system also allows the user to retrieve the information from captured images via a robust decoding algorithm. We demonstrate our tagging technique with applications for metadata embedding, robotic grasping, as well as conveying object affordances.Comment: ACM UIST 2017 Technical Paper