Materialise | Date: 2017-07-05
A flexible unit cell is disclosed. The flexible unit cell is a single unit that can be repeated and interconnected to create a flexible design such as a covering for an object or person. The flexible unit includes a rigid portion and a flexible connection portion. Flexible units connect via the flexible connection portion to form a flexible design that can move and flex based on the connection of the flexible connection portions between flexible units. Further, the rigid portions of the flexible units may not be connected, allow such movement. The flexible unit is designed such that a flexible design made using such flexible units maintains a degree of rigidity so it can keep a shape of a surface of an object, but also maintains enough flexibility to conform to the surface even if the object bends or moves. Further disclosed are processes for manufacturing such flexible unit cells.
Materialise | Date: 2017-03-29
Systems and methods of valve quantification are disclosed. In one embodiment, a method of mitral valve quantification is provided. The method includes generating a 3-D heart model, defining a 3-D mitral valve annulus, fitting a plane through the 3-D mitral valve annulus, measuring the distance between at least two papillary muscle heads, defining an average diameter of at least one cross section around the micro valve annulus, and determining a size of an implant to be implanted.
Materialise | Date: 2017-08-02
Disclosed is a 3D printed eyewear frame having an integrated hinge. Advantageously, the integrated hinge assembly is a crossed spring hinge. Methods of manufacturing a 3D printed eyewear frame are likewise provided.
Materialise | Date: 2017-04-03
The application provides customized aortic stent and stent graft devices and methods for the manufacture thereof. The customized aortic stent or stent graft are patient-specific in that they conform to at least part of the ascending aorta, aortic arch and/or thoracic aorta.
Materialise | Date: 2017-06-28
Methods and apparatuses for distributing slice area of objects more uniformly to optimize the build process of additive manufacturing techniques are disclosed. For example, a slice area distribution of a 3D design is calculated. Further, it is determined if the calculated slice area distribution and/or other aspects of the 3D design meets a criteria based on one or more quality metrics. If the calculated slice area distribution and/or other aspects of the 3D design do not meet the criteria, the 3D design is adjusted. The determination and adjustment may be performed iteratively until the calculated slice area distribution and/or other aspects of the 3D meet the criteria.
Materialise | Date: 2016-12-28
Systems and methods for predicting shape are provided. A system for predicting shape can include a database, a training analysis module, a subject analysis module, and a prediction module. The database can store two sets of training models characterized by first and second parameters, respectively (e.g., bone and cartilage), as well as a subject model characterized by the first parameter (e.g., a bone model). The relationships between these models can be determined by a training analysis module and a subject analysis module. Based on these relationships, the prediction module can generate a predicted shape characterized by the second parameter (e.g., a predicted cartilage model corresponding to the bone model).
Materialise | Date: 2017-03-08
Embodiments of this application relate to systems and methods which allow for 3-D printed objects, such as eyeglasses and wristwatches, for example, to be customized by users according to modification specifications that are defined and constrained by manufacturers. These modification specifications may be constrained by the manufacturers based on factors relating to the printability of a modified design.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: FOF-05-2016 | Award Amount: 993.05K | Year: 2016
Additive manufacturing (AM) has been highlighted as a key technology with potential for creating sustainable high value European based employment, addressing societal issues and supporting environmental sustainability. It has the potential to revolutionize the way in which products are manufactured and delivered to the customer. Moreover, AM is already having a high economic impact on several sectors and indeed on wider society. Therefore, it challenges the community to reinvent the business models and explore the implications of AM adoption. All those are heavyweight reasons for Europe to make specific efforts to define a plan of action in the field. In this framework, AM-Motion CSA has the ambition to develop a strategy and set up the pillars for its efficient implementation that, ultimately, will contribute to reinforcing the European AM ecosystem. The project will accelerate market uptake of AM technologies across Europe by connecting and upscaling existing initiatives and efforts around defined value chains, improving the conditions for large-scale, cross-regional demonstration and market deployment, and by involving a large number of key stakeholders, particularly from industry, as experts. AM-Motion will identify gaps at technical and non-technical levels for business development and propose specific actions and including a timeline to overcome them. More importantly, it will propose and validate models for business collaboration and unlock AM based business and jobs for Europe. To involve high number of key actors, the project has already achieved the support of several companies, research and education establishments, standardisation bodies, European Technology Platforms, international AM related entities, Regions and Innovation clusters. 52 support letters were received and are included.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 3.91M | Year: 2017
To ensure a healthy environment for people living and working in buildings, research and engineering in the area of building acoustics is essential. Developments in modern building concepts, such as sustainable low-energy consuming buildings, buildings with lightweight materials and open plan working environments, as well as the need to build in extremely noisy areas, require involvement of acoustic experts in order to successfully (re)design buildings without negatively impacting upon peoples health and well-being. Taking up current and future acoustic challenges requires innovative solutions based on a thorough understanding and mastering of modern methods and tools, as well as a holistic acoustic approach involving acoustic design, products and subjective evaluation. However, in the complex field of building acoustics, research activities typically are not holistic and have become slightly marginalised. As a consequence, there is a lack of building acoustics experts. To meet the future acoustic needs of the built environment, Acoutect is constructed around two objectives: 1) Establish a long-lasting European-wide training programme on building acoustics, 2) Launch an innovative research programme. With these objectives, Acoutect will equip ESRs with skills to ensure acoustic quality of modern and future building concepts, and with excellent perspectives for a career in industry or academia within the area of building acoustics. The training and supervision to reach these objectives is offered by the Acoutect consortium composed of 5 academic and 7 non-academic participants. This consortium comprises various disciplines and sectors within building acoustics and beyond, promoting intersectoral, interdisciplinary and innovative training and mobility of the researchers within the project.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-EID | Phase: MSCA-ITN-2016 | Award Amount: 1.25M | Year: 2017
Bone injuries represent a high cost for the European health system, requiring corrective surgery to fix the bones. Traditionally, their treatment relies on classical orthopaedic techniques but, nowadays, it is possible to design and fabricate custom-made implants. Thanks to the current advance in image-based technologies, the reconstruction of models that are exact copies of patient specific bones is possible. Thus, this methodology is appropriate for preoperative surgical planning, but currently lacks of a predictive capacity. It presents a low impact for quantitatively determine the effectiveness of different treatments on bone regeneration and, consequently, the patient recovery. CURABONE aims to bridge this gap, integrating and extending numerical simulation technologies based on image analysis to achieve a predictive methodology, to optimize patient-specific treatment of bone injuries and rehabilitation therapies. Therefore, CURABONE will focus on the establishment of a currently non-existent, but essential multi-validation platform at different scale levels for the creation of bone models. At organ level, patient-specific loads will be quantified from image-based analysis and musculoskeletal rigid-body modelling. At implant level, Finite Element analyses (FEA) of bone and implant/scaffold will be evaluated. At cell level, in-vitro experiments will be developed under controlled microenvironmental conditions in bioreactors to estimate the cell response under different mechanical conditions. All this information obtained from validation at different scales will be integrated in a computational model with a predictive capacity. Hence, CURABONE will not only develop patient-specific musculoskeletal modelling based on FEA and bone adaptive algorithms, but will also bring a step-forward to validate these models at different scales together with supervision of different orthopaedic hospitals expert on bone injuries.