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 …
Machine learning integrated design for additive manufacturing
For improving manufacturing efficiency and minimizing costs, design for additive
manufacturing (AM) has been accordingly proposed. The existing design for AM methods …
manufacturing (AM) has been accordingly proposed. The existing design for AM methods …
Use of kriging models to approximate deterministic computer models
JD Martin, TW Simpson - AIAA journal, 2005 - arc.aiaa.org
The use of kriging models for approximation and metamodel-based design and optimization
has been steadily on the rise in the past decade. The widespread use of kriging models …
has been steadily on the rise in the past decade. The widespread use of kriging models …
Analysis of support vector regression for approximation of complex engineering analyses
SM Clarke, JH Griebsch, TW Simpson - 2005 - asmedigitalcollection.asme.org
A variety of metamodeling techniques have been developed in the past decade to reduce
the computational expense of computer-based analysis and simulation codes …
the computational expense of computer-based analysis and simulation codes …
Building surrogate models based on detailed and approximate simulations
Preliminary design of a complex system often involves exploring a broad design space. This
may require repeated use of computationally expensive simulations. To ease the …
may require repeated use of computationally expensive simulations. To ease the …
Blind kriging: A new method for developing metamodels
Kriging is a useful method for developing metamodels for product design optimization. The
most popular kriging method, known as ordinary kriging, uses a constant mean in the model …
most popular kriging method, known as ordinary kriging, uses a constant mean in the model …
Understanding the effects of model uncertainty in robust design with computer experiments
The use of computer experiments and surrogate approximations (metamodels) introduces a
source of uncertainty in simulation-based design that we term model interpolation …
source of uncertainty in simulation-based design that we term model interpolation …
Data-driven design space exploration and exploitation for design for additive manufacturing
Recently, design for additive manufacturing has been proposed to maximize product
performance through the rational and integrated design of the product, its materials, and …
performance through the rational and integrated design of the product, its materials, and …
Reduced order thermal modeling of data centers via proper orthogonal decomposition: a review
E Samadiani, Y Joshi - International Journal of Numerical Methods for …, 2010 - emerald.com
Purpose–The purpose of this paper is to review the available reduced order modeling
approaches in the literature for predicting the flow and specially temperature fields inside …
approaches in the literature for predicting the flow and specially temperature fields inside …
Crashworthiness design of multi-component tailor-welded blank (TWB) structures
Crashworthiness of tailor-welded blank (TWB) structures signifies an increasing concern in
lightweight design of vehicle. Although multiobjective optimization (MOO) has to a …
lightweight design of vehicle. Although multiobjective optimization (MOO) has to a …