CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References
id ecaadesigradi2019_034
authors Chen, Dechen, Luo, Dan, Xu, Weiguo, Luo, Chen, Shen, Liren, Yan, Xia and Wang, Tianjun
year 2019
title Re-perceive 3D printing with Artificial Intelligence
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 443-450
summary How can machine learning be combined with intelligent construction, material testing and other related topics to develop a new method of fabrication? This paper presents a set of experiments on the dynamic control of the heat deflection of thermoplastics in searching for a new 3D printing method with the dynamic behaviour of PLA and with a comprehensive workflow utilizing mechanic automation, computer vision, and artificial intelligence. Additionally, this paper will discuss in-depth the performance of different types of neural networks used in the research and conclude with solid data on the potential connection between the structure of neural networks and the dynamic, complex material performance we are attempting to capture.
keywords 3D printing; AI; automation; material; fabrication
series eCAADeSIGraDi
email luo_dana@126.com
full text file.pdf (6,655,968 bytes)
references Content-type: text/plain
Details Citation Select
100%; open Arel, I, Rose, D and Karnowski, T (2010) Find in CUMINCAD Deep machine learning-A new frontier in artificial intelligence research , IEEE Computational Intelligence Magazine

100%; open Bengio, Y (2009) Find in CUMINCAD Learning Deep Architectures for AI , Foundations and Trends in Machine Learning

100%; open Brugnaro, G and Hanna, S (2018) Find in CUMINCAD Training Methods for the Integration of Material Performances in Timber Manufacturing , Robotic Fabrication in Architecture, Art and Design 2018

100%; open Dumitru, E (2010) Find in CUMINCAD Why does unsupervised pre-training help deep learning? , Journal of Machine Learning Research

100%; open Hinton, GE and Salakhutdinov, PR (2006) Find in CUMINCAD Reducing the dimensionality of data with neural networks , Science

100%; open Hochreiter, S and Schmidhuber, J (1997) Find in CUMINCAD Long short-term memory , Neural Computation

100%; open Luo, D, Wang, WJ and Xu, WG (2018) Find in CUMINCAD Robotic Automatic Generation of Performance Model for Noneuniform Linear Material via Deep Learning , Proceeding of The 23rd Conference on Computer-Aided Architectural Design Research in Asia

100%; open Menges, A (2012) Find in CUMINCAD Introduction , Architectural Design

100%; open Rossi, G and Paul, N (2018) Find in CUMINCAD Re/Learning the Wheel , Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture

100%; open Stefanie, M, Lopes, P and Baudisch, P (2012) Find in CUMINCAD Interactive Construction: Interactive Fabrication of Functional Mechanical Devices , Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology

last changed 2019/08/26 20:25
pick and add to favorite papersHOMELOGIN (you are user _anon_997018 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002