Preprint has been published in a journal as an article
DOI of the published article https://doi.org/10.1115/1.4065315
Preprint / Version 3

A manufacturability evaluation of complex architectures by laser powder bed fusion additive manufacturing

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DOI:

https://doi.org/10.31224/3074

Keywords:

Additive manufacturing, Manufacturability, Design, Powder bed fusion, Lattice structures

Abstract

Additive manufacturing (AM) enables new possibilities for the design and manufacturing of complex metal architectures. Incorporating lattice structures into complex part geometries can enhance strength-to-weight and surface area-to-volume ratios for valuable components, particularly in industries such as medical devices and aerospace. However, lattice structures and their interconnections may result in unsupported down-skin surfaces, potentially limiting their manufacturability by metal AM technologies, such as laser powder bed fusion (LPBF). This study aimed at examining the correlation between down-skin surface area and the manufacturability of lattice structures fabricated using LPBF. Image processing algorithms were used to analyze down-skin surface areas of seven unique lattice designs and to devise quantitative metrics (such as down-skin surface area, discrete surface count, surface inter-connectivity, down-skin ratio, over-print/under-print volumes, etc.) to evaluate LPBF manufacturability. The seven lattice designs were subsequently manufactured using maraging steel via LPBF, and then examined using imaging using X-ray micro-computed tomography (XCT). The geometric accuracy of the lattice designs was compared with XCT scans of the manufactured lattices by employing a voxel-based image comparison technique. The results indicated a strong relationship between down-skin surface area, surface interconnectivity, and the manufacturability of a given lattice design. The digital manufacturability evaluation workflow was also applied to a medical device design, further affirming its potential industrial utility for complex geometries.

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Posted

2023-06-27 — Updated on 2024-04-18

Versions

Version justification

This version is now accepted for publication in ASME Journal of Manufacturing Science and Engineering: https://doi.org/10.1115/1.4065315