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Title: Algorithmic design for 3D printing at building scale

Abstract

Here, this paper addresses the use of algorithmic design paired with additive manufacturing and their potential impact on architectural design and fabrication of a full-sized building, as demonstrated with the AMIE project. AMIE (Additive Manufacturing and Integrated Energy) was collaboration to 3d print a building and vehicle. Both the car and building were designed to generate, store and share energy in an effort to reduce or eliminate reliability on the power grid. This paper is intended to outline our methodology in successfully designing for these innovative strategies, with a focus on the use of computational design tools as a catalyst for design optimization, integrated project delivery, rapid prototyping and fabrication of building elements using additive manufacturing.

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1];  [2];  [2]
  1. Skidmore, Owings & Merrill LLP, Chicago, IL (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Building Technologies Research and Integration Center (BTRIC)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1351781
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
International Journal of Modern Research in Engineering and Technology
Additional Journal Information:
Journal Volume: 2; Journal Issue: 1; Journal ID: ISSN 2456-5628
Publisher:
IJMRET
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 42 ENGINEERING; AMIE; additive manufacturing; 3D printing; ABS; BAAM

Citation Formats

Guerguis, Maged, Eikevik, Leif, Obendorf, Andrew, Tryggestad, Lucas, Enquist, Philip, Lee, Brian, Johnson, Benton, Post, Brian K., and Biswas, Kaushik. Algorithmic design for 3D printing at building scale. United States: N. p., 2017. Web.
Guerguis, Maged, Eikevik, Leif, Obendorf, Andrew, Tryggestad, Lucas, Enquist, Philip, Lee, Brian, Johnson, Benton, Post, Brian K., & Biswas, Kaushik. Algorithmic design for 3D printing at building scale. United States.
Guerguis, Maged, Eikevik, Leif, Obendorf, Andrew, Tryggestad, Lucas, Enquist, Philip, Lee, Brian, Johnson, Benton, Post, Brian K., and Biswas, Kaushik. Sun . "Algorithmic design for 3D printing at building scale". United States. https://www.osti.gov/servlets/purl/1351781.
@article{osti_1351781,
title = {Algorithmic design for 3D printing at building scale},
author = {Guerguis, Maged and Eikevik, Leif and Obendorf, Andrew and Tryggestad, Lucas and Enquist, Philip and Lee, Brian and Johnson, Benton and Post, Brian K. and Biswas, Kaushik},
abstractNote = {Here, this paper addresses the use of algorithmic design paired with additive manufacturing and their potential impact on architectural design and fabrication of a full-sized building, as demonstrated with the AMIE project. AMIE (Additive Manufacturing and Integrated Energy) was collaboration to 3d print a building and vehicle. Both the car and building were designed to generate, store and share energy in an effort to reduce or eliminate reliability on the power grid. This paper is intended to outline our methodology in successfully designing for these innovative strategies, with a focus on the use of computational design tools as a catalyst for design optimization, integrated project delivery, rapid prototyping and fabrication of building elements using additive manufacturing.},
doi = {},
journal = {International Journal of Modern Research in Engineering and Technology},
number = 1,
volume = 2,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2017},
month = {Sun Jan 01 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
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