Deep generative models in engineering design: A review
Automated design synthesis has the potential to revolutionize the modern engineering
design process and improve access to highly optimized and customized products across …
design process and improve access to highly optimized and customized products across …
A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment
Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …
Review of artificial intelligence applications in engineering design perspective
Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives
Today's manufacturing processes are pushed to their limits to generate products with ever-
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …
[HTML][HTML] ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model
In this work, we introduce ShipHullGAN, a generic parametric modeller built using deep
convolutional generative adversarial networks (GANs) for the versatile representation and …
convolutional generative adversarial networks (GANs) for the versatile representation and …
Integrating deep learning into CAD/CAE system: generative design and evaluation of 3D conceptual wheel
Engineering design research integrating artificial intelligence (AI) into computer-aided
design (CAD) and computer-aided engineering (CAE) is actively being conducted. This …
design (CAD) and computer-aided engineering (CAE) is actively being conducted. This …
Data-driven generative design for mass customization: A case study
Generative design provides a promising algorithmic solution for mass customization of
products, improving both product variety and design efficiency. However, the current …
products, improving both product variety and design efficiency. However, the current …
Data-driven design-by-analogy: state-of-the-art and future directions
Abstract Design-by-analogy (DbA) is a design methodology wherein new solutions,
opportunities, or designs are generated in a target domain based on inspiration drawn from …
opportunities, or designs are generated in a target domain based on inspiration drawn from …
Generative design by reinforcement learning: enhancing the diversity of topology optimization designs
Generative design refers to computational design methods that can automatically conduct
design exploration under constraints defined by designers. Among many approaches …
design exploration under constraints defined by designers. Among many approaches …
Pcdgan: A continuous conditional diverse generative adversarial network for inverse design
Engineering design tasks often require synthesizing new designs that meet desired
performance requirements. The conventional design process, which requires iterative …
performance requirements. The conventional design process, which requires iterative …