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CDFAM Computational Design Symposium

Podcast CDFAM Computational Design Symposium
Duann Scott
CDFAM Computational Design Symposium Presentation Recordings www.designforam.com

Episodios disponibles

5 de 48
  • Simulation-Driven Continuous Engineering: Enabling Innovation Throughout the Product Lifecycle
    Recorded at CDFAM Computational Design Symposium, NYC 2024Presentation AbstractA 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 BioDr. 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
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  • Automating CAM with AI: lessons from applying deep learning to geometry
    Recorded at CDFAM Computational Design Symposium, NYC 2024Presentation AbstractComputer-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 HarvardCDFAM 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
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  • Additive Manufacturing of Ceramics: How Far Can You Go Using Computational Design?
    Recorded at CDFAM Computational Design Symposium, NYC 2024Presentation AbstractThis 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
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  • Optimising Hardware Development with Software Practices
    Recorded at CDFAM Computational Design Symposium, NYC 2024Presentation AbstractKiera 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 BioKiera 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 sessionCDFAM 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
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  • Spherene Metamaterial in Simulation-Based DFAM
    Recorded at CDFAM Computational Design Symposium, NYC 2024Presentation AbstractDespite 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 BioChristian 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 2012CDFAM 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
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