Surface appearance of poly lactic acid due to variations in material extrusion processing parameters

The study examines the impact of Material Extrusion (MEX) process parameters on the surface quality of polylactic acid (PLA) components, utilizing a straightforward image analysis method for distinguishing products realized with varying process parameter sets. The research aims to establish a relationship between process variations and product characteristics, with a primary focus on surface roughness and grayscale variations. Process parameters such as flow rate, nozzle temperature, and fan speed significantly influence the surface roughness and appearance of PLA parts. These parameters alter the shape of raster deposition, resulting in a different peak-valley arrangement, which in turn impacts surface quality and grayscale variations. The study evaluates grayscale image analysis to assess color shifts induced by processing conditions, for a scanning direction perpendicular to the printing direction. The results of grayscale analysis were compared with surface roughness, achieving a significant match. Variations in surface roughness and grayscale values were substantial, ranging between 50% and 60%. The PLA specimens were finally tested under uniaxial tensile tests to determine Young's modulus, tensile strength, and strain at break, evaluating changes in mechanical performance. The flow rate and fan speed were crucial factors because they caused changes in raster density, raster adhesion, and mechanical properties. However, the mechanical test results revealed that the variations were more significant than 5% but lower than 10%.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-14
DOI
https://doi.org/10.1038/s41598-025-14484-0
Primary Topic
biodegradable polymer synthesis and properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surface appearance of poly lactic acid due to variations in material extrusion processing parameters

Roberto Spina
Scientific Reports
biodegradable polymer synthesis and properties
article

Surface appearance of poly lactic acid due to variations in material extrusion processing parameters

Roberto Spina
article en

Abstract

The study examines the impact of Material Extrusion (MEX) process parameters on the surface quality of polylactic acid (PLA) components, utilizing a straightforward image analysis method for distinguishing products realized with varying process parameter sets. The research aims to establish a relationship between process variations and product characteristics, with a primary focus on surface roughness and grayscale variations. Process parameters such as flow rate, nozzle temperature, and fan speed significantly influence the surface roughness and appearance of PLA parts. These parameters alter the shape of raster deposition, resulting in a different peak-valley arrangement, which in turn impacts surface quality and grayscale variations. The study evaluates grayscale image analysis to assess color shifts induced by processing conditions, for a scanning direction perpendicular to the printing direction. The results of grayscale analysis were compared with surface roughness, achieving a significant match. Variations in surface roughness and grayscale values were substantial, ranging between 50% and 60%. The PLA specimens were finally tested under uniaxial tensile tests to determine Young's modulus, tensile strength, and strain at break, evaluating changes in mechanical performance. The flow rate and fan speed were crucial factors because they caused changes in raster density, raster adhesion, and mechanical properties. However, the mechanical test results revealed that the variations were more significant than 5% but lower than 10%.

Scientific ReportsVol. 15(1)
Istituto Nazionale di Fisica Nucleare, Sezione di Bari (IT), Istituto di Fotonica e Nanotecnologie (IT), Polytechnic University of Bari (IT)
Openalex Percentile: Top 87%
biodegradable polymer synthesis and properties
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.