Generative design in building information modelling (BIM): approaches and requirements
The integration of generative design (GD) and building information modelling (BIM), as a
new technology consolidation, can facilitate the constructability of GD's automatic design …
new technology consolidation, can facilitate the constructability of GD's automatic design …
The augmented designer: a research agenda for generative AI-enabled design
K Thoring, S Huettemann, RM Mueller - Proceedings of the Design …, 2023 - cambridge.org
Generative AI algorithms that are able to generate creative output are progressing at
tremendous speed. This paper presents a research agenda for Generative AI-based support …
tremendous speed. This paper presents a research agenda for Generative AI-based support …
[HTML][HTML] Performance-driven engineering design approaches based on generative design and topology optimization tools: a comparative study
L Barbieri, M Muzzupappa - Applied Sciences, 2022 - mdpi.com
The advent of Additive Manufacturing (AM) is uncovering the limits of the current CAD
systems and, at the same time, is highlighting the potentials of the Topology Optimization …
systems and, at the same time, is highlighting the potentials of the Topology Optimization …
Generative design: reframing the role of the designer in early-stage design process
JI Saadi, MC Yang - Journal of Mechanical Design, 2023 - asmedigitalcollection.asme.org
Generative design tools empowered by recent advancements in artificial intelligence (AI)
offer the opportunity for human designers and design tools to collaborate in new, more …
offer the opportunity for human designers and design tools to collaborate in new, more …
[HTML][HTML] StressD: 2D Stress estimation using denoising diffusion model
Finite element analysis (FEA), a common approach for simulating stress distribution for a
given geometry, is generally associated with high computational cost, especially when high …
given geometry, is generally associated with high computational cost, especially when high …
MyCrunchGPT: A chatGPT assisted framework for scientific machine learning
Scientific Machine Learning (SciML) has advanced recently across many different areas in
computational science and engineering. The objective is to integrate data and physics …
computational science and engineering. The objective is to integrate data and physics …
Mycrunchgpt: A llm assisted framework for scientific machine learning
Scientific machine learning (SciML) has advanced recently across many different areas in
computational science and engineering. The objective is to integrate data and physics …
computational science and engineering. The objective is to integrate data and physics …
A review of geometry representation and processing methods for cartesian and multiaxial robot-based additive manufacturing
Nowadays, robot-based additive manufacturing (RBAM) is emerging as a potential solution
to increase manufacturing flexibility. Such technology allows to change the orientation of the …
to increase manufacturing flexibility. Such technology allows to change the orientation of the …
Measurement Patterns: User-Oriented Strategies for Dealing with Measurements and Dimensions in Making Processes
The majority of errors in making processes can be tracked back to errors in dimensional
specifications. While technical aspects of measurement, such as precision and speed have …
specifications. While technical aspects of measurement, such as precision and speed have …
Optimization of quadcopter frame using generative design and comparison with DJI F450 drone frame
J Bright, R Suryaprakash, S Akash… - IOP conference series …, 2021 - iopscience.iop.org
This research accentuates to explore designing the drone frame using Generative design
tools. A quadcopter is designed using Autodesk generative design embedded in Fusion …
tools. A quadcopter is designed using Autodesk generative design embedded in Fusion …