التفاصيل البيبلوغرافية
| العنوان: |
Optimizing LPBF-parameters by Box-Behnken design for printing crack-free and dense high-boron alloyed stainless steel parts |
| المؤلفون: |
Brenda Juliet Martins Freitas, Guilherme Yuuki Koga, Siegfried Arneitz, Claudemiro Bolfarini, Sergio de Traglia Amancio-Filho |
| المصدر: |
Additive Manufacturing Letters, Vol 9, Iss , Pp 100206- (2024) |
| بيانات النشر: |
Elsevier, 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Industrial engineering. Management engineering |
| مصطلحات موضوعية: |
Design of experiment, Anova, Additive manufacturing, Porosity, Stainless steel, Boride, Industrial engineering. Management engineering, T55.4-60.8 |
| الوصف: |
Boron has almost null solubility in iron, and its addition to stainless steels leads to the formation of hard borides, beneficial for increasing the wear resistance. However, these boron-containing steels have poor printability, with the occurrence of pronounced cracking, high porosity and risk of delamination. In this work, Box-Behnken design coupled with analysis of variance (ANOVA) was used to optimize the LPBF (Laser Powder Bed Fusion) processing parameters of a highly boron-alloyed stainless steel reinforced with a boride network. The proposed models demonstrated to be accurate in determine the porosity percentage for the studied alloys, in which the laser power and scanning speed play the main role in the alloys’ densification, and absence of extensive defects. These results indicate that the use of design of experiments tools is essential to produce defect-free boron-modified stainless steel specimens with a relatively low number of experiments, identifying a narrow optimized processing window to build bulk composite materials. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2772-3690 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S277236902400015X; https://doaj.org/toc/2772-3690 |
| DOI: |
10.1016/j.addlet.2024.100206 |
| URL الوصول: |
https://doaj.org/article/63b811f5326c47c492e909f342618293 |
| رقم الانضمام: |
edsdoj.63b811f5326c47c492e909f342618293 |
| قاعدة البيانات: |
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