Metal Additive Manufacturing Processes – Laser and Electron Beam Powder Bed Fusion

Joshi, Sanjay; Martukanitz, Richard P.; Nassar, Abdalla R.; Michaleris, Pan

doi:10.1007/978-3-031-37069-4_3

Additive Manufacturing With Metals 2023

DOI: 10.1007/978-3-031-37069-4_3

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Metal Additive Manufacturing Processes – Laser and Electron Beam Powder Bed Fusion

Sanjay Joshi,

Richard P. Martukanitz,

Abdalla R. Nassar

et al.

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2024

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Parameter development for near-fully dense LPBF-produced stainless steel 316 using a design of experiment approach

van Niekerk,

Dicks,

Kloppers

et al. 2024

MATEC Web Conf.

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This study aims to develop parameters that minimize porosity in SS316 using a Design of Experiments approach (DOE). Employing the D- Optimal (D-Optimal) method and ANOVA, we determined a quadratic model for predicting porosity. The model was validated through three-point predictions, demonstrating high accuracy. The study utilised the bootstrapping method to identify the minimum sample size required for reliable predictions, establishing that 15 samples are sufficient. This was verified by plotting three sets of 15 random samples, where actual vs. predicted values showed strong agreement. The study achieved the highest density of 7.94 g/cm³, corresponding to 99.6% relative density. These findings offer a robust framework for optimising material properties to reduce porosity effectively.

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Parameter development for near-fully dense LPBF-produced stainless steel 316 using a design of experiment approach

van Niekerk,

Dicks,

Kloppers

et al. 2024

MATEC Web Conf.

View full text Add to dashboard Cite

show abstract

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Metal Additive Manufacturing Processes – Laser and Electron Beam Powder Bed Fusion

Cited by 1 publication

References 26 publications

Parameter development for near-fully dense LPBF-produced stainless steel 316 using a design of experiment approach

Parameter development for near-fully dense LPBF-produced stainless steel 316 using a design of experiment approach

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