CDFAM Computational Design Symposium

Duann Scott
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CDFAM Computational Design Symposium

CDFAM Computational Design Symposium Presentation Recordings www.designforam.com

  1. 2 DAYS AGO

    Innovate with design-driven cost reduction strategies by leveraging Magics SDK: from idea-to-production 3D Printing

    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. 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

    20 min

  2. 6 DAYS AGO

    Design Optimization for Multi-Material Laser Powder Bed Fusion Additive Manufacturing

    Recorded at CDFAM Computational Design Symposium, NYC 2024 Presentation Abstract Additive manufacturing (AM) technology has afforded greater degree of geometrical design freedoms not otherwise available through traditional manufacturing. Multi-material laser powder bed fusion (MM-LPBF) combines the great geometric and surface roughness resolution associated with LPBF with selective powder deposition (SPD), allowing for the special tailoring of material based on functional design requirements. For instance, advanced heat exchanger design can now include copper fins for efficient heat dissipation combined with nickel alloys for structural strength, and stainless steel for corrosion resistance. The ability to selectively engineer the design and material assignment of multiple metals in true 3D voxel approach into a single component can produce extreme design advantages for both part consolidation and unnecessary material reduction. In most engineering applications (e.g. aerospace, automotive, space) weight is considered a critical design factor. Part and assembly consolidation, as well as light weighting associated with new AM technology, can now be extended beyond traditional single material design and on many length scales. To facilitate this aspiration, we have developed a framework utilizing topology optimization capable of simultaneous multi-material design, inspired by the newfound design freedoms enabled by MM-LPBF. Our motivation exists to investigate and develop new design methods which incorporate manufacturing process considerations (e.g. build orientation, minimum feature size) to produce multi-material metallic designs which meet clear objective functions, such as maximizing stiffness or thermally fluidic heat dissipation. Speaker Bio Dr. Guha Manogharan is the Emmert H. Bashore Faculty Development Associate Professor of Mechanical Engineering at The Pennsylvania State University – University Park. He is the Co-Director of CIMP-3D (Center for Innovative Materials Processing through Direct Digital Deposition (CIMP-3D) and also heads the Systems for Hybrid – Additive Processing Engineering – The SHAPE Lab which focuses on additive and hybrid manufacturing with an emphasis on biomedical, defense and aerospace applications. Dr. Manogharan received his Ph.D. (2014) and M.S. (2009) from North Carolina State University. He has received the 2022 ASME Early Career Leadership (ECLIPSE) award, and several young investigator awards (2021 ASTM, 2020 NSF CAREER, 2018 FAME Jr., 2017 SME Outstanding Young Manufacturing Engineer Award and 2016 IISE Outstanding Young Investigator by Manufacturing and Design Division). His current work is supported by NSF, DoE, ONR, AFRL, IACMI, and Manufacturing PA.  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

    22 min

  3. 18 NOV

    State of the Art B-Rep Generation using Machine Learning

    Recorded at CDFAM Computational Design Symposium, NYC 2024 Presentation Abstract Boundary representation (B-rep) 3D models are the standard 3D representation used in the manufacturing industry. However, only recently has machine learning research begun to make progress on generative models capable of producing B-rep models. This talk will give a summary of the current state of the art for generating B-rep models. In particular it will cover, BrepGen, our recent work using diffusion models, that have proved extremely successful in the image domain, to the problem of B-rep generation. Speaker Bio Karl is a Senior Research Manager at Autodesk Research focused on data-driven design software for manufacturing. He holds a Ph.D. in Computational Design from Carnegie Mellon University and has presented his research internationally at conferences such as ICML, CVPR, ACM SIGGRAPH, ACM UIST, and ACM CHI. His work at Autodesk has won numerous awards including Fast Company Innovation By Design Honoree and Core77 Design Awards Research and Strategy Honoree. 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

    20 min

  4. 14 NOV

    How CCM leveraged Toolkit3D and the Carbon Platform to Build an Automated Pipeline for Mass Customization of High-Performance Hockey Products

    Recorded at CDFAM Computational Design Symposium, NYC 2024 Presentation Abstract This presentation explores how brands like CCM are partnering with software platforms like Toolkit3D, and using additive manufacturing tools from Carbon to offer customization to consumers with groundbreaking products like the AXIS XF Goalie Mask and the SUPER TACKS X Total Custom helmet.  While designers at CCM used Carbon’s Design Engine Pro to create superior lattice pads that increase breathability in the AXIS XF Goalie Mask and the SUPER TACKS X Total Custom helmet, developers at Toolkit3D integrated the Scan-to-Fit Design Engine with Carbon Custom Production Software to build an automated workflow for custom parts, including computational design techniques and automated production preparation.  In summary, CCM with Toolkit3D built an automated pipeline for products with Carbon’s dual-cure materials and advanced additive manufacturing processes that yield custom fit products automatically and at scale for all athletes– elite to amateur. Speaker Bio Puneet Jhaveri is a Senior Applications Engineer at Carbon 3D where he leverages his expertise and training in mechanical engineering and physiology to develop custom products. Originally on a medical track, Puneet’s interests shifted after being exposed to architecture and industrial design, sparking a passion for blending technical skills, aesthetics, and creative problem-solving. Puneet now focuses on pushing the boundaries of product design through innovative, cross-disciplinary approaches. 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

    19 min

  5. 11 NOV

    How Much More FEA Could You Complete if You Didn’t Have to Mesh?

    Recorded at CDFAM Computational Design Symposium, NYC 2024 Presentation Abstract Engineering creativity and innovation are too often stifled by the tedious process of building simulation models. The process adds no value, can take weeks or months to complete, and far too often results in a model that has gotten out of sync with the design model. Coreform’s new Flex product accelerates engineering design by reducing the meshing burden through easier and more powerful FEA. Coreform Flex leverages cutting-edge techniques from FEA and computational geometry to streamline the process of setting up FEA models. At the same time, Flex provides simulation results that are more accurate and robust than traditional low-order FEA across linear, nonlinear, static and dynamic simulation regimes. In most cases, users report that simulation models that usually take several weeks to build can now be built in less than a day. In this presentation, Matthew Sederberg will give a concrete and accessible overview of the technical underpinnings of the Flex approach to FEA. He will also outline a few of the ways the Flex approach can accelerate engineering design and unleash the creativity of engineers. Speaker Bio Mr. Matt Sederberg is a pioneer in introducing new technologies to the CAD/CAE industry and has successfully started and sold a company in this space. Mr. Sederberg introduced T-Splines to the CAD market as its CEO in 2005, bootstrapping that company on SBIR funding to create plugins and integrated components used by over 2000 customers, sold through a channel with over 50 resellers. He created the premier brand in the industry, leading to a successful acquisition by market leader Autodesk in 2011, then led Autodesk’s \$40M automotive design product line. In 2016 Mr. Sederberg left Autodesk to join Coreform, where he now serves as Chief Strategy Officer. 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

    19 min

  6. 7 NOV

    Realizing Differentiable Physics in Digital Engineering

    Recorded at CDFAM Computational Design Symposium, NYC 2024 Presentation Abstract In the context of traditional and advanced industrial settings, the adoption of Scientific Machine Learning (SciML) requires operating in digital-physical environments governed by large-scale, three-dimensional, multi-modal data streams that are confounded with noise, sparsity, irregularities and other complexities that are common with machines and sensors interacting with the real, physical world. Digital engineering domains—that is CAD, CAM, CFD, and so on—and advanced manufacturing settings provide exemplary environments to separate tried & tested SciML from unreliable “AI” and game engines. This talk elaborates on such digital-physical environments and the non-trivial needs from computational design and engineering tools. Special attention is given to differentiable programming in multi-physics settings, which done well is the catalyst for bringing autonomous, data-driven, machine-learnable techniques to advanced manufacturing and digital engineering worlds. Speaker Bio Alexander Lavin is a leading expert in AI-for-science and probabilistic computing. He’s Founder & CEO of Pasteur Labs (and non-profit “sister” Institute for Simulation Intelligence), reshaping R&D with a new class of AI-native simulators, commercializing in energy security, aerospace, materials & manufacturing sectors. For the last dozen years, Lavin has focused on artificial general intelligence (AGI) research with top startups in neuroscience and robotics (Vicarious, Numenta), and sold his prior ML-simulation startup Latent Sciences to undisclosed pharmaco in neurodegeneration R&D. Lavin also serves as AI Advisor for NASA, overseeing physics-ML efforts for the NASA-ESA “Digital Twin Earth” projects. Previously, Lavin was a spacecraft engineer with NASA and Blue Origin, and won several international awards for work in rocket science and space robotics (including Google Lunar XPrize during graduate studies at Carnegie Mellon). Lavin was named Forbes 30 Under 30 in Science, and a Patrick J. McGovern Tech for Humanity Changemaker. 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

    20 min

  7. 4 NOV

    Leveraging Physics-Based Modeling for Part and Process Design Optimization

    Recorded at CDFAM Computational Design Symposium, NYC 2024 Presentation Abstract Sandia National Labs is a systems integrator and design agency with additional production responsibility for critical components. As such, advanced and additive manufacturing offer significant potential value to our mission responsibilities. Novel functionality and efficiencies can be achieved through complex part geometries, design of new or functionally graded composites or nano-structured materials, and the leveraging of data via a “network of things” and machine-learned models for integrated AI controls and process optimization. Taken together, if fully realized, these developments hold out promise for a new era of digitally integrated product realization that is precise, responsive, and “smart”. However, shortcomings in establishing the technical basis for determining reliable performance margins persist due to the complex, coupled physical processes that create the final material as the part itself is being built. Developing sufficient scientific understanding of these processes to achieve the levels of control required for rapid realization and qualification of processes or parts is itself a challenge. A true design for AM methodology must further invert this scientific understanding to achieve targeted performance margins. This presentation details a number of ongoing efforts to develop a physics-based modeling framework for advanced and additive manufacturing that is predictive of process outcomes based on settings and can be used to provide optimized design workflows. Examples are shown for DIW stress pads and cushions and metal laser powder bed fusion. This work was supported by the LDRD program at SNL, managed and operated by NTESS under DOE NNSA contract DE-NA0003525. Speaker Bio Jeremy Lechman is manager of the Energetics, Multiphase and Soft Matter Sciences Department, Engineering Sciences Center, Sandia National Laboratories 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

    21 min

  8. 1 NOV

    A Journey to Digital Prosthetics

    Recorded at CDFAM Computational Design Symposium, NYC 2024 Presentation Abstract Presentation Abstract LifEnabled makes custom-fit prosthetic devices for the developing world that are simple, durable and new. Partner with LifEnabled to impact the world. Speaker Bio Brent Wright, CP, BOCO,  is a Partner and Designer at Advanced 3D, and a clinician for patients on the ground at Eastpoint Prosthetics and Orthotics in Raleigh, NC.  While he has a background with Fused Deposition Modeling (FDM), Brent has been utilizing new methods using MultiJet Fusion and Selective Laser Sintering lately, looking to create prostheses that are not only functional but light and flexible. 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

    16 min
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CDFAM Computational Design Symposium Presentation Recordings www.designforam.com

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