Afleveringen
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Keynote Presentation by Nervous System recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
Join Nervous System for an exploration of their collaborations with scientists in the realm of 3D-printed organs. They will show how science inspires their art and design work which then feeds back into their scientific practice. The cycle continues as their work on organs contributes to their recent large scale public artworks and vise-versa.
Inspired by natural patterns, Nervous System creates computational systems that can create a myriad of unique designs. They translate these digital designs into physical products using a mix of digital and traditional manufacturing methods including 3d-printing, casting, and laser cutting. At the heart of these systems are mathematical models of pattern formation.
In this talk, we’ll dive into the fascinating intersection of art, science, and technology, and how Nervous System’s innovative practices are shaping the future of design and biological research.
Nervous System is a generative design studio that works at the intersection of science, art, and technology.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
The 3MF volumetric extension allows for the communication of additive manufacturing data at the voxel, and/or pure implicit level unlocking complex, multi-parameter, and multi-material applications in a lightweight, open source data format.
The presentation will give an overview of the newly released specification along with example case studies for software and hardware developers, along with the value proposition for designers and engineers.
Dr.-Ing. Jan Orend is a mechanical engineer with a focus on mechatronics. He received his Ph.D. in the field of metallurgy at TU Clausthal. Since 2015, he has been working at EOS GmbH, developing software for print preparation and process control for metal and polymer 3D printing. In his free time, he also enjoys using FDM 3D printing for hobby projects.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Zijn er afleveringen die ontbreken?
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Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
The talk is about the on-going research efforts at ForMat (Form and Matter) Lab at Penn State University, directed by Benay Gürsoy. Benay and her team explore the relationship between matter and form, fabrication and performance mediated through the use of digital technologies. Current research in the lab includes work on adaptive robotic fabrication, and the design and sustainable production of mycelium-based building parts and structures.
Benay Gürsoy is an Assistant Professor of Architecture and the founder and director of ForMat (Form and Matter) Lab at Penn State. Her research and teaching focus is on computational making, digital fabrication, biofabrication, and shape studies. Benay completed her PhD studies in Architectural Design Computing Program at Istanbul Technical University in 2016 and was awarded the Best Ph.D. Dissertation Award by The Graduate School of Science, Engineering, and Technology. She has published and presented her research internationally and received awards, including the 2010 Young CAADRIA Award, and 2015 CAAD Futures Best Paper Award, 2021 and 2022 AIA UpJohn Research Initiatives and 2022 SOM Foundation Research Prize.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
Slicelab merges advanced computational design with innovative fabrication techniques to create groundbreaking design solutions. Our foundation in architectural craftsmanship—from hand drawing and model making to woodshop, 3D modeling, and 3D printing—has cultivated a deep understanding of materiality and form. This expertise enables us to optimize problem-solving through a balanced approach to physical and digital design.As designers, we test and master a diverse array of software tools, integrating the best features to meet the unique needs of each project. This ensures our designs are both functionally superior and aesthetically compelling.In this presentation, we will showcase how our strategic use of various design tools and techniques has led to innovative results across different scales and applications. Join us to explore how Slicelab is redefining design through the seamless integration of advanced manufacturing and computational craftsmanship.
About Slicelab
Slicelab is a multi-disciplinary experimental design studio specializing in digital design and complex fabrication consulting. Their projects range across various scales and strive to balance simplicity and complexity. Founded in 2012 by Arthur Azoulai and Diego Taccioli, Slicelab has quickly established itself in the design world.
In 2015, the studio took part in the Autodesk residency at Pier 9 in San Francisco, focusing on additive manufacturing R&D. Their team brings diverse experience from international firms like Jakob + Macfarlane, Asymptote, WRNS Studio, Francis Bitonti Studio, KMD Architects, Rockwell Group, Mindesk VR, and OPT Industries.
Arthur and Diego are also involved in academia, teaching integrated product design at JWU, 3D printed wearables at AAU, and advanced 3D visualization at NYIT. They serve as visiting architecture critics at Cornell, UPenn, and RPI further showcasing their expertise in computational design for additive manufacturing.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
In a rapidly evolving technological landscape, integrating artificial intelligence (AI) and emerging technologies into design processes is revolutionizing client experiences across various industries. This presentation explores how IDEO leverages its human-centered design approach to incorporate AI and other cutting-edge technologies into client-facing projects, enhancing innovation and driving impactful results. We’ll share stories about designing for inclusivity in XR, defining new kinds of AI-native products, bringing personality and emotion to the IoT, imagining the future of healthcare and more. We’ll also highlight our practice of building and sharing provocative, low-fidelity prototypes to explore our edges, build skills, and start conversations with the industry.
Speaker Bios
Jenna Fizel is inspired by translating abstract information into tangible experiences. Jenna helps clients explore design questions through building with emerging tools like AI, XR, and digital fabrication. They believe these tools can provide new perspectives during the design process. Jenna leads an 80+ person internal group focused on making technical skills more accessible to IDEO’s diverse community. Previously, they were a partner at an agency designing physical/digital spaces for clients. Jenna also co-founded a fashion tech startup and served as CTO of an intimate apparel firm. With an academic background in computational geometry from MIT, they see software as a mode of thinking that solves problems through exploration.
Ziyuan ‘Zoey’ Zhu is a creative technologist working at the intersection of design and emerging technology. At IDEO, a global design company committed to fostering social impact with human-centric design, she helps teams tangibly explore the future of product experience with emerging technologies, including generative AI, data visualization, and XR. She was invited to give speeches at SXSW, SF Design Week, MIT Museum, International Design Conference(IDC), Design Museum Week, NY Climate Week, etc. Ziyuan is also an affiliate researcher at MIT, leading research on integrating technology into climate education. Ziyuan holds a dual master’s degree in design study and computer science from MIT
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
Traditional 3D modeling often captures only the outcomes of design processes, and not the underlying decisions and logic. Procedural BIM is an approach that addresses this by representing an architectural project as a network of interconnected, metadata-enhanced models. This network not only stores the outcomes but also embodies the design thinking, enabling scripts to dynamically establish relationships, generate new objects, and propagate information across the network while adhering to the principles of the design.
The presentation will detail the application of this innovative framework in the design, fabrication, and installation of over 23,000 unique curtain wall panels for a large-scale project, featuring 8.5 million individual fabricated components. The panels feature extreme cold-bent glass, with complex three-dimensional frames that are prefabricated to unlock rapid installation. Metadata also enabled the development of a machine-learning model derived from 3,500 material simulations to reverse engineer the flat shape of twisted panels.
By leveraging a data-centric approach, the system acts as both a record and a map of the design’s relationships, dependencies, and logic. It allows for simultaneous representations at various levels of detail, and a continuous flow of information from the building’s overall massing down to the holes on a fabricated component.
Speaker Bio
Keyan combines his dual education in architecture and structural engineering with a deep expertise in computational design. He spent 10 years at Front, Inc. developing facade systems for high profile projects around the world and working with many of the premier global design firms. He then went on to lead the Computational Design team for Grimshaw’s New York Studio, and now runs an independent consultancy focused on automation and digital processes for designers and makers. His career has been especially focused on parametric design, complex simulations, DfMA, and anything related to the process of transforming data into real, physical constructions
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
This presentation explores how we use computational tools to optimize occupant comfort and well-being in indoor spaces. We emphasize the importance of occupant-centric design, prioritizing occupants’ needs and well-being in the building design process. Through case studies in residential dwellings and hospital environments, we demonstrate the application of machine learning algorithms and advanced simulation tools to predict and optimize comfort across various indoor environmental conditions, ultimately designing spaces tailored to unique user needs
Speaker Bios
Noresh is a mechanical engineer with computational design expertise at Stantec. As part of the Digital Practice team, he plays a core role in identifying opportunities for design process automations and providing custom solutions for workflow efficiency. He works across multidisciplinary teams guiding the integration of computational design in building performance simulations and parametric analysis. He is also pursuing a PhD in Engineering at Drexel University at the Building Science and Engineering group, where his research centers on Indoor Environmental Quality (IEQ), occupant comfort, and occupant-centric control
Agustín Salas is a Senior Associate and Lead Senior Architectural Designer at Stantec, with over 22 years of experience. He specializes in bioclimatic architecture and computational design, holding a postgraduate degree from the Polytechnic University of Cataluña (UPC) and a master’s degree from the Institute for Advanced Architecture of Catalonia (IAAC). Agustín is dedicated to creating architecture that enhances human well-being and minimizes ecological impact.
Leading multidisciplinary teams across Stantec’s offices in the USA, Canada, and Europe, Agustín has delivered innovative solutions for complex architectural challenges. His projects include public and private spaces, mixed-use developments, high-end residences, and institutional buildings, with a focus on sustainability and design excellence.
Agustín’s international portfolio spans regions such as the U.S., Israel, Russia, Mexico, and the Caribbean. His work integrates advanced computational tools, artificial intelligence, and bioclimatic strategies, all aimed at crafting functional, elegant solutions that inspire and uplift users. Passionate about transforming the future of architecture, Agustín combines creativity and technology to drive innovation in the field.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
At CDFAM NYC 2024, nTop and Siemens Energy explored how computational design can streamline complex workflows, improve engineering outcomes, and accelerate innovation in additive manufacturing.
nTop’s presentation highlighted how their computational design tools are reshaping product development across industries by shifting from manual CAD processes to parametric models driven by implicit modeling and field-driven design. They emphasized that computational design removes bottlenecks by allowing engineers to explore countless iterations quickly, enhancing the performance of parts such as heat exchangers, air filters, and turbine blades.
Siemens Energy shared insights into their use of additive manufacturing for serial production, focusing on applications in gas turbines, wind turbines, and electric generators. They demonstrated how implicit modeling and collaboration with nTop enabled them to develop more efficient heat exchangers and optimize support structures using topology optimization. Siemens’ engineers showcased how their partnership with nTop helps overcome challenges like handling complex geometries and reducing file sizes from several gigabytes to just a few megabytes.
With over 100 additive-manufactured parts in serial production, Siemens Energy stressed the importance of computational tools in real-world applications, emphasizing that implicit modeling is no longer confined to research but is being used in production at scale. The talk underscored that innovations in additive manufacturing are not just limited to prototyping but are enabling large-scale manufacturing solutions for critical infrastructure.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
DfAM (Design for Additive Manufacturing) has often focused on product characteristics (performance and aesthetics) and printing optimization (support and nesting strategies). However, this drastically overlooks all the steps between the 3D printing process and final use of the product.
Nearly all additive my manufactured parts/products undergo a series of steps once printed: post-processing, assembly, finishing, and QC. DfAM philosophies can leverage additive as a technology and design efficiencies at each step of this process to improve lead times and streamline workflows.
Speaker Bio
Ankush Venkatesh is the Intrapreneur, Additive Manufacturing at Glidewell Dental Laboratories. In addition to writing for publications such as Harvard Business Review, Forbes, Ankush has also been speaker at the largest 3D printing events in the world including Formnext, Rapid+ TCT, and Additive Manufacturing Strategies (AMS).At Glidewell, Ankush is heavily involved in new product development, streamline additive manufacturing workflows, business strategy, and commercialization of digital manufacturing technologies
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
If we can increase the efficiency and success rate of engineering by improving the process of designing physical products, reducing the cost and timelines of doing so, and making our engineering workforce more productive, it will create huge benefits to society. Currently, skilled labour shortages, cost overruns and long development timelines frequently result in the failure of once promising technologies, products, and businesses. These difficulties destroy invested capital and hamper our efforts to address climate change.
We must produce new solutions faster that will have more complex use cases and dependencies. This is happening elsewhere, yet the rapid advances in AI capabilities that are currently supercharging other industries, are limited within engineering and high-value manufacturing, why is this? There is a gap to overcome, but what is this gap, and can we all work together to bridge it?
We must produce new solutions faster that will have more complex use cases and dependencies. This is happening elsewhere, yet the rapid advances in AI capabilities that are currently supercharging other industries are limited within engineering and high-value manufacturing. Can we enable true AI and ML impact beyond surrogate simulations? There is a gap to overcome, but what is this gap, and can we all work together to bridge it?
Speaker Bios
Joe Griston is a Software Engineer turned Chief People Officer turned startup Founder. Alongside others, Joe built the world’s largest labour marketplace enabling 70 million people to work together, then built the once-promising Arrival to its $13.6 billion public listing, and is now leading EQT-backed Generative Engineering to market.
Laurence Cook holds a PhD from Cambridge and was a Postdoc Computational Engineer at Stanford, Cambridge, and within MIT’s ACDL (Aerospace Computational Design Lab). Built applications including hypersonic space planes, passenger jet aircraft, and Formula 1 tech and is now a Co-Founder of Generative Engineering
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
Machine intelligence continues to rise in popularity as an aid to the design and discovery of novel lattice structures. Until recently, the design process has relied on a combination of trial-and-error and physics-based methods for optimization. These processes can be time-consuming and challenging, especially when the design space is being explored thoroughly. Artificial intelligence (AI) and machine learning (ML) can be used to overcome challenges like these as pre-processed massive lattice, TPMS, foam and metamaterial datasets can be used to accurately train appropriate models. The models can be broad, describing properties, structure, and function at numerous levels of hierarchy, using relevant inputted knowledge.
In this talk, I will present a comprehensive overview of how state-of-the-art machine intelligence techniques can be used for the computational design, discovery and development of lattices and other cellular solids. I will show individual approaches categorizing them based on methodology and application and will further discuss machine intelligence trends for a wide range of computational design problems. Most importantly, I will critique AI and ML and will look into where it does work and where it does not, hopefully providing a better understanding of possible AI applications in the computational design context.
Speaker Bio.
I am a researcher in the field of computational design and mechanical metamaterials working at the University of Edinburgh. My research area includes artificially engineered metamaterials (to enhance a specific mechanical characteristic such as stiffness and strength), lattices, self-assembling 4D printed materials and bio-inspired materials and structures. My background in mechanical engineering allows me to map the characteristics of these innovations to applications in industry including transport, space and energy sectors. For instance, one of my latest projects included weight shaving from wind turbines using large-scale lattice structures in order to tackle the fatigue loading problems, using state-of-the-art computational design approaches.Most recently, I have been developing new design and optimization frameworks based on AI and ML models, focussing on the benefits that these approaches can bring to old-fashioned optimization
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
Synera is a process automation platform specifically designed for engineers. Thanks to the user-friendly UI and shareable templates anyone from your team can easily use and modify them to level up their work. The Moldflow connector allows integrating Moldflow in complex, multidisciplinary development workflows. In this presentation, examples will be presented solving typical injection molding design challenges.
Speaker Bio
At Synera, Andrew Sartorelli is the Product Manager for Integrations, as well as Software Partnership Lead where helps brings to market solutions for customer pains using internally developed solutions, as well as leveraging partner solutions. He’s spent the past 10 years working for a variety of engineering software companies including Autodesk, nTopology, Hexagon, and now Synera. At these companies, he’s always been focused on helping bringing the voice of the customer in companies through positions ranging from Technical Support Specialist, Application Engineer, Product Owner, and Product Manager. He holds a BSc. Mechanical Engineering from the University of New Hampshire.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
This presentation explores our innovative approach to converting traditional design tools and workflows into comprehensive computational systems that enable automation, optimisation, and efficient data handling. Focusing on a complex but outdated tool for designing refrigeration systems, we established robust standards and methodologies for this transformation. By analysing existing tools, spreadsheets, and workflows in collaboration with discipline experts, we derived logical frameworks and mapped every operation and data variable into a graph database. This process ensures modular function reuse and comprehensive tracking of variable usage throughout the tools. The presentation will highlight our methodologies, the resulting standards, and the significant advancements in design automation and optimisation
Speaker Bio
Sean Turner, P.E., serves as the Director of Innovation at Henderson Engineers. In this role, Sean spearheads innovation initiatives, representing cutting-edge advancements to clients and partners while overseeing internal innovation projects. He devises novel approaches to building systems design aimed at delivering high-performance, data-driven, optimised projects. His efforts are focused on enhancing efficiency and engagement for project teams, ensuring a streamlined and effective design process.
Dauphin Flores is a Lead Computational Engineer within the Innovation Department at Henderson Engineers and the director of this project. Dauphin has played a pivotal role in the development of various computational tools at Henderson. His expertise in computational engineering drives the advancement of design automation and optimisation, significantly contributing to the firm’s innovative capabilities and technical excellence
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
We showcase the latest advancements in physics-driven engineering design software, especially new multi-physics modelling tools for net-zero applications such as carbon capture, as well as the integration of new design tools which remove the ‘black-box’ feeling engineers often experience while using design tools such as topology optimization. We demonstrate how these new features are incorporated into ToffeeX, allowing fast iterations and integration into whole new workflows
Speaker Bio
As a mathematician and aerospace engineer with a PhD in fluid dynamics from Imperial College, Marco is deeply passionate about modeling natural phenomena. His core value lies in enabling progress and movement, both intellectually and practically. Having founded ToffeeX, he leads the company in his role as CEO, leveraging his expertise to drive innovation and positive change.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
A digital model undergoes multiple transformations throughout the product lifecycle and relies on various mathematical models and computer representations. These include CAD or implicit representations during design, slices, and G-code during process planning, and CT scans during manufacturing inspection. The current simulation tools’ inability to directly work with these native representations, instead insisting on conversion to meshes, makes performance prediction cycles extremely slow, manual, and fragile. This severely limits the parameter space at each stage and hinders the computational design and engineering of innovative, high-performance products. Furthermore, it fragments the already siloed product lifecycle management (PLM) as different data formats cannot be easily integrated for holistic decision-making.
Our solution to these challenges lies in continuous engineering through simulation on native representations. By employing immersed methods of moments and mesh-free simulation techniques, we ensure continuity across heterogeneous geometry and material models, throughout the design-to-manufacture process, and across arbitrary resolutions, solvers, and platforms. We have successfully demonstrated components of the continuous engineering platform by enabling, for example, performance simulation of as-planned and as-manufactured models, path-level additive process simulation, and virtual additive manufacturing (AM) part qualification. Additionally, we are developing *Generative.AM*, software technology for the generative design of pre-qualified AM components through a DARPA grant. Our commercial solutions today allow rapid exploration of large design spaces with extremely complex designs. By integrating with leading platforms like Synera, nTop, and Rhino Grasshopper as well as custom workflows such as those in Houdini, we empower users to seamlessly incorporate advanced simulations into their computational design processes, driving unprecedented innovation and efficiency.
Speaker Bio
Dr. Neel Goldy Kumar is a Product Manager and Engineer at Intact Solutions, Inc., where he leads the development of cutting-edge commercial simulation technologies. With a Ph.D. in Mechanical Engineering, he has extensive expertise in modeling and simulation, particularly in high-complexity areas such as additive manufacturing and composites. Over his seven years at Intact, Dr. Kumar has helped pioneer the Immersed Method of Moments technology and has been a key contributor to multiple SBIR-funded projects. He has also served as Principal Investigator for a NIST SBIR on the virtual validation of complex heterogeneous components made using metal additive manufacturing. Currently, Dr. Kumar is spearheading the launch of Intact.Simulation software across various computational design platforms.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
Computer-Aided Manufacturing (CAM) has revolutionized the manufacturing industry over the past century by enabling the use of software tools to generate machine programs. However, a significant limitation remains: these tools still require substantial input from highly skilled human operators. As production technologies have advanced — from multi-degree-of-freedom (multi-DOF) robots to 3D printers and complex milling machines — the complexity of programming these machines has also increased. This growing complexity has made CAM a bottleneck in the adoption of advanced production techniques, particularly as batch sizes shrink and CAM-associated labor costs per part rise.
At two companies I am involved with: ArcNC, where we focus on CAM for robotic welding, and Oqcam, which specializes in dental CAM; we have explored various deep learning techniques to automate different aspects of the CAM process. In this talk, I will provide a high-level overview of our approaches, share key learnings from our journey, and discuss potential future directions for integrating modern deep learning approaches into CAM and design.
Speaker Bio.
Ben Schrauwen is an investor and entrepreneur, currently the Co-Founder of ArcNC, Oqcam, and Raidyn. He previously co-founded and served as CEO of Oqton, which was acquired by 3D Systems. Before that, he was a Senior Director in Autodesk’s manufacturing division. Ben also served as a Professor at Ghent University, where he founded a pioneering machine learning research group. He holds a PhD in Computer Engineering from Ghent University and was a visiting researcher at Harvard
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
This presentation is a review on the developments of complex ceramic structures at the SUPSI’s Hybrid Materials Laboratory. From the first attempts to use CAD to explain the thermo-mechanical behaviour of ceramic foams by finite element modelling (FEM), this practice is now a fundamental step fully integrated in the ceramic additive manufacturing (AM). Demanding end users’ requirements can be satisfied thanks to the combination of CD, simulation, and AM to solve multi-physics tasks. This presentation will show several examples of ceramic components working in high temperature, harsh conditions such as: re-entry thermal protection, porous burners, volumetric solar receivers, high temperature waste heat recovery systems, power to X components and periodic open cellular structures for catalysis.
Speaker Bio.
Graduated in naval and mechanical engineering at the University of Naples in 1989, in 1992 specialized in composite materials at the Center for Composite Materials at the University of Delaware in USA. After ten years in the industry he is now professor at SUPSI, responsible of the Hybrid Materials laboratory at SUPSI and faculty member at the Doctoral School of Industrial Engineering of the University of Padova (I) . His research fields are: process engineering of polymer and ceramic matrix composites, oxide and carbide ceramics, design and additive manufacturing of complex ceramics. He has been project manager in national (Innosuisse, SNF), European (FP5, FP6, FP7 and H2020 ) projects. Nowadays his group is focusing on net shape processing of complex ceramics (oxides, carbides and composites) by additive manufacturing. Prof. Ortona has published about 100 peer-reviewed papers and 6 patents. He is member of the evaluation body of the “Practice to Science” founding scheme at SNF and editor of The journal of American Ceramic Society, Materials and Hybrid Advances.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
Kiera will discuss Ocado Technology’s additive-first approach to robotics hardware development. This design process, with additive at its centre, unlocks the benefits of agile software development for the world of hardware, allowing the team to create the world’s lightest and most efficient grocery fulfilment bot.
Agile practices allowed the team to experiment, learn, and iterate at speed with many of the product concepts being designed in just a few weeks. Achieving these results with traditional manufacturing approaches would have taken many times longer due to the design, tooling and procurement lead times associated with testing multiple concepts.
Speaker Bio
Kiera is a Software Engineer on the Industrial DevOps team at automation and robotics platform company Ocado Technology. She joined Ocado Technology in 2021 in the Supply Chain Simulation team in London, working on a site and network digital twin for Ocado’s automated warehouses. In 2023 she moved to Ocado’s Stockholm development centre to join the team developing the next generation of Ocado’s fulfilment robot, the 600 series. Her role in Industrial DevOps is to develop tools that can be used to apply the software concepts of DevOps to the world of hardware development. When she is not writing or reviewing code, she can be found planning her next TTRPG session
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
Despite the enormous potential of leveraging the rich information embedded in biological form, and the rising interest in bio-inspired design, there is no generalized, accessible computational design tool that enables it. In this presentation I will identify what I believe are the reasons for this gap and propose a framework to address it in the context of nine distinct types of architected materials, introduced here as “Bio-Motifs”. This framework consists of three pillars: (i) knowledge graphs, (ii) mathematical models, and (iii) data and information. I will elucidate aspects of this framework with examples from ongoing work spanning diverse organisms and structural elements such as sea sponge networks, honeybee hair, honeycomb, scales and branching structures. I will also demonstrate how we use computational design, simulation and additive manufacturing to both understand the functional basis for biological form, and leverage that understanding to engineer novel application solutions.
Speaker Bio
Christian Waldvogel is the founder of spherene, a Zurich-based company developing autonomous design software. He holds a Master’s degree in architecture from ETHZ, made his first 3D print in 1999, and spent most part of the 21st century as a conceptual artist. His work, which aims to reflect humanity as a species, on a planet and in the universe, was published and exhibited worldwide, and has directly led to the discovery of the spherene geometry in 2012
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
Visit CDFAM.COM to learn about upcoming events around the world.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.designforam.com -
Recorded at CDFAM Computational Design Symposium, NYC 2024
Presentation Abstract
In today’s competitive landscape, organizations are increasingly commercializing meaningful additive manufacturing (AM) applications while striving to optimize costs and improve their bottom line. We will address the pressing need to eliminate repetitive activities by simplifying AM workflows through DfAM partnerships and developing design automation processes.
Gain insights into how to automate design workflows for mass customization, streamline repetitive data and build preparation tasks, and debug build processing workflows using visualization tools powered by Magics SDKs.
We will discuss how the industry must embrace collaboration and openness to enable innovation at scale with AM. By the end of this talk, you will have a clearer understanding of how to enhance your AM capabilities through partnership integrations, automation, and innovative solutions.
CDFAM Computational Design Symposium series brings together leading experts in computational design from industry, academia and software development for two days of knowledge sharing and networking.
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