Process parameter optimization for 3D printing of post-industrial recycled PP through in-situ thermal analysis

Abstract Fused filament fabrication (FFF) is commonly used to manufacture polymer components and has emerged as a sustainable manufacturing method when recycled materials are utilized. However, achieving consistent mechanical performance of recycled polymers remains challenging as semicrystalline polymers are highly sensitive to thermal history from prior manufacturing. This study investigates the effect of printing parameters on cooling behavior, crystallinity, and tensile performance of post-industrial recycled polypropylene (rPP). Additionally, an in-situ infrared thermal imaging approach was introduced to directly monitor temperature changes during the FFF process. A systematic experimental design was implemented by varying the wall thickness of the printed samples and the nozzle temperature, and their effects were correlated with real-time cooling rates, crystallinity measured by differential scanning calorimetry and Raman spectroscopy, and tensile properties. The results demonstrate that the cooling rate acts as a unifying parameter linking process conditions to crystallization behavior and mechanical response. The printed sample fabricated at a nozzle temperature of 190 ℃ and a wall thickness of 2.4 mm achieved an optimal balance between ordered and disordered crystalline regions, a good surface finish, uniform pigment dispersion, and a tensile strength of 20.95 MPa, which is comparable to previously reported values for rPP. This study presents a new experimentally validated method to predict and optimize printing parameters through real-time process-structure–property relationships for recycled semicrystalline polymers during material extrusion, thereby supporting sustainable manufacturing processes.

Authors

Institutions

Publication Details

Journal
Progress in Additive Manufacturing
Published
2026-03-16
DOI
https://doi.org/10.1007/s40964-026-01633-8
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

Process parameter optimization for 3D printing of post-industrial recycled PP through in-situ thermal analysis

Paul Refalo, Arif Rochman, Zunaida Zakaria
Progress in Additive Manufacturing
Additive Manufacturing and 3D Printing Technologies
article

Process parameter optimization for 3D printing of post-industrial recycled PP through in-situ thermal analysis

Paul Refalo, Arif Rochman, Zunaida Zakaria
article en

Abstract

Abstract Fused filament fabrication (FFF) is commonly used to manufacture polymer components and has emerged as a sustainable manufacturing method when recycled materials are utilized. However, achieving consistent mechanical performance of recycled polymers remains challenging as semicrystalline polymers are highly sensitive to thermal history from prior manufacturing. This study investigates the effect of printing parameters on cooling behavior, crystallinity, and tensile performance of post-industrial recycled polypropylene (rPP). Additionally, an in-situ infrared thermal imaging approach was introduced to directly monitor temperature changes during the FFF process. A systematic experimental design was implemented by varying the wall thickness of the printed samples and the nozzle temperature, and their effects were correlated with real-time cooling rates, crystallinity measured by differential scanning calorimetry and Raman spectroscopy, and tensile properties. The results demonstrate that the cooling rate acts as a unifying parameter linking process conditions to crystallization behavior and mechanical response. The printed sample fabricated at a nozzle temperature of 190 ℃ and a wall thickness of 2.4 mm achieved an optimal balance between ordered and disordered crystalline regions, a good surface finish, uniform pigment dispersion, and a tensile strength of 20.95 MPa, which is comparable to previously reported values for rPP. This study presents a new experimentally validated method to predict and optimize printing parameters through real-time process-structure–property relationships for recycled semicrystalline polymers during material extrusion, thereby supporting sustainable manufacturing processes.

Progress in Additive Manufacturing
University of Malta (MT), Universiti Malaysia Perlis (MY)
European Commission
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
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.