Enhancing Computational Design with Real-Time Design Insights Using AI & Physics Simulations in the Cloud - David Heiny

from CDFAM Computational Design Symposium · host Duann Scott

Recorded at CDFAM Computational Design Symposium, Berlin, 2024Presenter: David HeinyCEO & Co-FounderOrganization: SimScaleThe advent of artificial intelligence (AI) in engineering simulation begins a transformative era in product development processes. This presentation outlines the substantial impact of AI adoption in engineering simulation, focusing on how AI models, trained using real and simulated engineering data , can significantly accelerate or even automate future engineering workflows.SimScale is developing a pioneering platform in this domain, offering a solution that amalgamates AI with traditional CAE methods. This platform provides accessible tools for both designers and simulation experts, capturing the entire spectrum of AI-enhanced simulation processes and ensures AI future readiness. We present a case study of deploying AI through a cloud-native engineering simulation platform with global engineering teams in the automotive, manufacturing and AEC industries.The CDFAM Computational Design Symposium Series brings together leading experts from design, engineering, architecture, academia and software development for a series of knowledge sharing and networking events focusing on computational design at all scales.The events are organized around two foundational frameworks: ‘Scales of Design’ and ‘Dimensions of Execution.’SCALES OF DESIGN:* Micro: Focus on material-level design considerations* Meso: Exploration of metamaterials and structures* Macro: Discussion on topology optimization, surface and parts* Mega: Exploration of architectural scale system design methodologiesDIMENSIONS OF EXECUTION:* Academic: Cutting-edge research in design science* Algorithm: Software tools and algorithms enabling advanced design* Application: Real-world engineering challenges addressed* Automation: Scaling design to production for volume and mass customizationThrough these frameworks, attendees will gain insights into how computational design principles and methodologies traverse across different scales and various execution contexts. 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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This episode was published on May 15, 2025.

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