CDFAM Computational Design Symposium

Duann Scott

CDFAM Computational Design Symposium Presentation Recordings www.designforam.com

  1. -16 H

    How Topology Optimization And AM Can Create A New Generation Of Green Steel Construction

    Recorded at CDFAM Computational Design Symposium, Amsterdam , 2025 https://cdfam.com/amsterdam-2025/ Organization: University of Bologna Presenter: Vittoria Laghi How Topology Optimization And Additive Manufacturing Can Create A New Generation Of Green Steel Construction Presentation Abstract The digitalization of the construction sector could potentially produce more efficient structures, reduce material waste and increase work safety. Current strategies for the realization of automated steel constructions see the application of metal 3D printing processes as an opportunity to build a new generation of efficient steel structures with reduced material use. This, though, requires advanced multidisciplinary knowledge in manufacturing, metallurgy, structural engineering and computational design. Recent effort has been made in order to combine computational design with current digital fabrication procedures to realize efficient steel structures for the future. The present work aims at providing insights to current explorations on the combined application of computational design and metal 3D printing process in construction towards a new generation of optimized and resource-efficient structures Interview: How topology optimization and additive manufacturing can create a new generation of green steel construction 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
  2. 18 SEPT.

    Physics-Driven Generative Design for Laser Powder Bed Fusion in Aerospace ToffeeX - Thomas Rees

    Recorded at CDFAM Computational Design Symposium, Amsterdam , 2025 https://cdfam.com/amsterdam-2025/ Organization: ToffeeX Presenter: Thomas Rees Physics-Driven Generative Design for Laser Powder Bed Fusion in Aerospace Presentation Abstract Laser Powder Bed Fusion (L-PBF) has shown transformative potential for the aerospace industry, with substantial investments being directed globally to leverage its benefits. However, broader industrial adoption of L-PBF faces barriers primarily due to limitations in the performance of components manufactured with the technique, productivity of the technique, and scalability of the technology. These limitations currently hinder L-PBF’s competitiveness with traditional manufacturing methods for aerospace, affecting both cost-efficiency and sustainability. In this talk we will present a physics-driven generative design framework tailored for L-PBF, leveraging advanced multi-physics simulations to tackle the complex thermo-fluid-structural design challenges that arise in aerospace applications. The framework integrates computational fluid dynamics, heat transfer, and structural mechanics simulations. By coupling these simulation-driven insights with generative design techniques, our approach offers a robust pathway to create high-performance aerospace components. Results from case studies demonstrate the ability of our framework to reduce costs and design times while achieving superior mechanical properties under aerospace-relevant loading conditions. Read the CDFAM Interview with ToffeeX 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

    23 min
  3. 15 SEPT.

    Real-Time Computer-Aided Optimization: How GPU-Native Simulation Changes the Industry - FlexCompute

    Recorded at CDFAM Computational Design Symposium, Amsterdam , 2025 https://cdfam.com/amsterdam-2025/ Organization: Flexcompute Presenter: Momchil Minkov + Qiqi Wang Real-Time Computer-Aided Optimization (CAO): How GPU-Native Simulation Changes the Industry Presentation Abstract Computer-aided engineering (CAE) has been a foundational tool in aerospace and photonics design, but slow workflows, high costs, and constrained design exploration limit its potential. Traditional methods rely heavily on intuition and a few simulations to validate designs, leaving vast opportunities untapped. However, a paradigm shift is underway: integrating mathematical optimization techniques like adjoint optimization and inverse design into CAE is redefining what’s possible in engineering. This modern approach – Computer-Aided Optimization (CAO) – directly leverages advanced mathematical optimization to automate and enhance the design process. CAO replaces intuition-driven, validation-focused methods with a data-driven, goal-oriented workflow by specifying design goals and using algorithms to refine configurations iteratively. Techniques like inverse design, which uses objective functions and gradient-based optimization, and adjoint methods, which enable efficient sensitivity analysis, are central to this transformation. GPU-native simulations amplify the impact of these methodologies, making it feasible to address industry-scale problems in a fraction of the time previously required. High-performance GPU computing accelerates the iterative optimization process, enabling rapid exploration of vast design spaces with unprecedented fidelity. Applications range from optimizing aerodynamic performance in aerospace to creating innovative photonic devices like metalenses and quantum computing components. This synergy of mathematical optimization and GPU acceleration positions CAO as the future of engineering design. By reducing costs, accelerating development cycles, and enabling robust design exploration, CAO allows engineers to confidently tackle complex challenges. Whether designing aircraft or photonic circuits, these advancements fundamentally reshape how industries approach innovation, driving breakthroughs across disciplines and unlocking new possibilities for high-performance, efficient design. Read the interview Real-Time Computer-Aided Optimization (CAO): How GPU-Native Simulation Changes the Industry 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
  4. 4 SEPT.

    From 2D to Mass Production: Computational Design at Scale with Toolkit3D - Sarah Clevinger - CDFAM

    Recorded at CDFAM Computational Design Symposium, Amsterdam , 2025 https://cdfam.com/amsterdam-2025/ Organization: Toolkit3D Presenter: Sarah Clevinger From 2D to Mass Production: Computational Design at Scale with Toolkit3D Presentation Abstract Toolkit3D will showcase how brands have reduced product design timelines from days to minutes by integrating anatomical scan data, performance parameters, and lattice optimization into a repeatable design engine. The result is a scalable pipeline for mass customization that accelerates production without sacrificing precision. This session will walk through how the platform ingests variable input data (such as unique body shapes or pressure maps), generates manufacturable geometry including conformal lattice structures, and automates preparation for production, regardless of manufacturing process. This isn’t conceptual, it’s computational design powering real-world, on-demand manufacturing at industrial scale. Whether you’re working in orthotics, wearables, protective gear, or consumer products, you’ll see how our design engines and modular workflows can radically compress timelines, reduce complexity, and democratize access to custom-fit manufacturing. Toolkit3D is creating a new standard: design once, fit anything, manufacture anywhere. 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

    24 min

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CDFAM Computational Design Symposium Presentation Recordings www.designforam.com