TNI CEN ISO/ASTM TR 52958
| Name: | TNI CEN ISO/ASTM TR 52958 |
| Validity: | Valid |
| Number of pages: | 36 |
| Language: |
EN
|
| Paper: | 17,20€ |
| Electronic version |
a) Only read (without ability to print and copy)
15,48€ b) Without ability to print, with ability to copy (printscreen) 17,20€ c) With ability to print and copy (printscreen) 22,36€ |
| Slovak title | Aditívna výroba kovov. Zváranie práškových vrstiev (PBF). Monitorovanie in situ pomocou koaxiálnej fotodiódy na detekciu chýb spôsobených pri tavení v PBF-LB (ISO/ASTM TR 52958) |
| English title | Additive manufacturing of metals - Powder bed fusion (PBF) - In-situ coaxial photodiode monitoring for lack of fusion flaw detection in PBF-LB (ISO/ASTM TR 52958:2026) |
| Release Date: | 01. 09. 2026 |
| Date of withdrawal: | |
| ICS: | 25.020 |
| Sorting character/National clasification code | 18 8534 |
| Level of incorporation: | idt ISO/ASTM TR 52958:2026, idt CEN ISO/ASTM TR 52958:2026 |
| Official Journal | 08/26 |
| Amendments | |
| Replaced by: | |
| Repleces: | |
| Note in Official Journal: | |
| Subject of the standard: | This document provides a workflow comprising experimental procedures and flaw detection algorithms aimed at locating flaws in parts produced during the powder bed fusion-laser-based (PBF-LB) process of metals. It emphasizes the use of coaxial photodiode-based in-situ monitoring and statistical and clustering machine learning algorithms, particularly for detecting lack of fusion-induced flaws. The workflow delineates setting thresholds for statistical detection and determining the number of clusters for machine learning algorithms, utilizing intentional seeded flaws in parts. Validation procedures are provided through computed tomography scanner data. Hardware limitations and considerations for multi-laser processes are addressed, with attention to potential issues. |
| Preview: | Náhľad normy (PDF) |