EconPapers    
Economics at your fingertips  
 

Compatible TOSets with POSets: An Application to Additive Manufacturing

Policarpo Abascal (), Fernando Fueyo (), Jorge Jiménez (), Antonio Palacio () and Maria Luisa Serrano ()
Additional contact information
Policarpo Abascal: Universidad de Oviedo
Fernando Fueyo: Universidad de Oviedo
Jorge Jiménez: Universidad de Oviedo
Antonio Palacio: Universidad de Oviedo
Maria Luisa Serrano: Universidad de Oviedo

Journal of Optimization Theory and Applications, 2024, vol. 201, issue 1, No 7, 177-198

Abstract: Abstract Additive manufacturing (AM) has become a widely used technique in 3D printing, but it has proven to be a very costly process, even when optimizing parameters in existing models. Due to the characteristics of AM, and in order to optimize its process, a new approach is introduced to the problem: the discretization of each layer to be printed. This involves establishing an order relation based on the sequence in which the layers should be printed. The valid orders for the execution of the process, referred to as compatible with the order relation, will be characterized. Additionally, algorithms will be provided to obtain new compatible orders from others that were already compatible, and strategies will be presented to optimally and efficiently reorder non-compatible orders, converting them into compatible ones.

Keywords: Order relations; POSets; TOSets; 06A05; 06A06; 90B06 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10957-024-02388-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:201:y:2024:i:1:d:10.1007_s10957-024-02388-4

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-024-02388-4

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-19
Handle: RePEc:spr:joptap:v:201:y:2024:i:1:d:10.1007_s10957-024-02388-4