Preliminary manufacturability evaluation of complex geometrical parts based on layer thickness in the metal powder bed fusion process

Abstract Powder bed fusion of metals using a laser beam (PBF-LB/M) is a widely adopted additive manufacturing (AM) technique, particularly effective for producing complex geometries and thin-walled structures. While thin powder layers enable high precision and fine surface finishes, they also reduce manufacturing speed, creating a trade-off between quality and productivity. This study explores the relationship between geometrical complexity and manufacturability in PBF-LB/M by developing a specialized numerical framework. A comprehensive review of existing manufacturability evaluation methods, which focusses on feature-based and knowledge-based approaches is presented, with applications across the aerospace, biomedical, and automotive industries. The study highlights the importance of layer thickness as a key process parameter and conducts a preliminary evaluation of its impact on building time and manufacturability. The proposed framework provides step-by-step guidance to support early-stage design decisions, allowing optimization of part geometry for reduced cycle time and cost. Initial validation is performed using industrial case studies and build-time simulations using Aconity and Netfabb software. Although the current focus is on layer thickness, the framework sets the groundwork for future studies that incorporate broader process parameters, contributing to improved manufacturability evaluation and decision-making in AM.

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Publication Details

Journal
Progress in Additive Manufacturing
Published
2025-06-16
DOI
https://doi.org/10.1007/s40964-025-01202-5
Citations
4
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
2.85

Funders

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article

Preliminary manufacturability evaluation of complex geometrical parts based on layer thickness in the metal powder bed fusion process

Heidi Piili, Akash Deep, Mojtaba Miri Beidokhti
4 citations
Progress in Additive Manufacturing
Additive Manufacturing Materials and Processes
2.85
article

Preliminary manufacturability evaluation of complex geometrical parts based on layer thickness in the metal powder bed fusion process

Heidi Piili, Akash Deep, Mojtaba Miri Beidokhti
article en
4 citations

Abstract

Abstract Powder bed fusion of metals using a laser beam (PBF-LB/M) is a widely adopted additive manufacturing (AM) technique, particularly effective for producing complex geometries and thin-walled structures. While thin powder layers enable high precision and fine surface finishes, they also reduce manufacturing speed, creating a trade-off between quality and productivity. This study explores the relationship between geometrical complexity and manufacturability in PBF-LB/M by developing a specialized numerical framework. A comprehensive review of existing manufacturability evaluation methods, which focusses on feature-based and knowledge-based approaches is presented, with applications across the aerospace, biomedical, and automotive industries. The study highlights the importance of layer thickness as a key process parameter and conducts a preliminary evaluation of its impact on building time and manufacturability. The proposed framework provides step-by-step guidance to support early-stage design decisions, allowing optimization of part geometry for reduced cycle time and cost. Initial validation is performed using industrial case studies and build-time simulations using Aconity and Netfabb software. Although the current focus is on layer thickness, the framework sets the groundwork for future studies that incorporate broader process parameters, contributing to improved manufacturability evaluation and decision-making in AM.

Progress in Additive ManufacturingVol. 10(11)
University of Turku (FI)
Turun Yliopisto
Openalex Percentile: Top 10%
Additive Manufacturing Materials and Processes
2.85
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Preliminary manufacturability evaluation of complex geometrical parts based on layer thickness in the metal powder bed fusion process — Heidi Piili, Akash Deep, et al. · Progress in Additive Manufacturing (2025) | TGRS Research Map | TGRS