A phenomenological sintering model of binder-jetted 316L stainless steel parts calibrated by in situ monitoring

Binder jetting is a promising metal additive manufacturing process that enables fast and cost-effective part production. However, sintering-induced shrinkage and distortions remain major challenges, particularly for complex geometries. In this study, the sintering behavior of binder jetting stainless steel 316L parts with various geometries, including cubes, bridge beams, diamonds, impellers, and lattice structures, was investigated. An in situ optical monitoring system was developed to capture shrinkage and deformation during sintering. A finite element analysis model based on continuum mechanics was implemented and calibrated using anisotropic shrinkage data obtained from experiments. The model successfully predicted the sintering response for complex geometries, with dimensional deviations within 500 µm for bridge beams and diamonds, and within 300 µm for impellers. The effects of gravity, green density, and furnace conditions were evaluated. Lattice structures showed high sensitivity to temperature gradients and radiative heat transfer. The proposed approach enables predictive modeling and compensation of sintering distortions for improved dimensional control in binder jetting.

Authors

Institutions

Publication Details

Journal
Powder Metallurgy
Published
2025-10-25
DOI
https://doi.org/10.1177/00325899251389513
Primary Topic
Advanced materials and composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A phenomenological sintering model of binder-jetted 316L stainless steel parts calibrated by in situ monitoring

Recep Önler, Emrecan Söylemez, Mehmet Yalçin, Ömer Faruk Anlayış
Powder Metallurgy
Advanced materials and composites
article

A phenomenological sintering model of binder-jetted 316L stainless steel parts calibrated by in situ monitoring

Recep Önler, Emrecan Söylemez, Mehmet Yalçin, Ömer Faruk Anlayış
article en

Abstract

Binder jetting is a promising metal additive manufacturing process that enables fast and cost-effective part production. However, sintering-induced shrinkage and distortions remain major challenges, particularly for complex geometries. In this study, the sintering behavior of binder jetting stainless steel 316L parts with various geometries, including cubes, bridge beams, diamonds, impellers, and lattice structures, was investigated. An in situ optical monitoring system was developed to capture shrinkage and deformation during sintering. A finite element analysis model based on continuum mechanics was implemented and calibrated using anisotropic shrinkage data obtained from experiments. The model successfully predicted the sintering response for complex geometries, with dimensional deviations within 500 µm for bridge beams and diamonds, and within 300 µm for impellers. The effects of gravity, green density, and furnace conditions were evaluated. Lattice structures showed high sensitivity to temperature gradients and radiative heat transfer. The proposed approach enables predictive modeling and compensation of sintering distortions for improved dimensional control in binder jetting.

Powder Metallurgy
Gebze Technical University (TR), Numerical Method (China) (CN), Istanbul Technical University (TR)
Openalex Percentile: Top 68%
Advanced materials and composites
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.

A phenomenological sintering model of binder-jetted 316L stainless steel parts calibrated by in situ monitoring — Recep Önler, Emrecan Söylemez, et al. · Powder Metallurgy (2025) | TGRS Research Map | TGRS