Dimensionless analysis for the 3-D printing process

The dimensionless analysis is a highly effective mathematical tool for the physical comprehension of intricate phenomena. This paper employs the aforementioned mathematical tool to study the 3-D printing process. A number of criteria for a precise printing process have been identified, which can be used to optimize the printing process and offer a new strategy to improve its printing accuracy.

Authors

Institutions

Publication Details

Journal
Thermal Science
Published
2025-01-01
DOI
https://doi.org/10.2298/tsci2503701z
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dimensionless analysis for the 3-D printing process

Yuting Zuo, Xiaoxia Li
Thermal Science
Additive Manufacturing and 3D Printing Technologies
article

Dimensionless analysis for the 3-D printing process

Yuting Zuo, Xiaoxia Li
article en

Abstract

The dimensionless analysis is a highly effective mathematical tool for the physical comprehension of intricate phenomena. This paper employs the aforementioned mathematical tool to study the 3-D printing process. A number of criteria for a precise printing process have been identified, which can be used to optimize the printing process and offer a new strategy to improve its printing accuracy.

Thermal ScienceVol. 29(3 Part A)
Suzhou University of Technology (CN), Baoji University of Arts and Sciences (CN)
Education Department of Shaanxi Province
Openalex Percentile: Top 86%
Additive Manufacturing and 3D Printing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.