Abstract
Additive Manufacturing (AM) of metals is passing
the research stage and finding application in the industrial
environment as a manufacturing technology of choice. However,
the quality of products fabricated using metal AM technology
could be considered inferior when used in batch manufacturing.
Quality is generally defined as conformance to specification and
is inversely proportional to process variation. Variation in a
process signifies the number of possible defects per million
opportunities in a given production. This gives rise to the need
to characterize process variation to improve quality. This paper
explores the characterization of variability in laser powder bed
fusion (LPBF) AM of metals to improve the quality of part
production with specific focus on batches. It summarizes the
factors that influence the variation and discusses the tools used
to improve part quality.
the research stage and finding application in the industrial
environment as a manufacturing technology of choice. However,
the quality of products fabricated using metal AM technology
could be considered inferior when used in batch manufacturing.
Quality is generally defined as conformance to specification and
is inversely proportional to process variation. Variation in a
process signifies the number of possible defects per million
opportunities in a given production. This gives rise to the need
to characterize process variation to improve quality. This paper
explores the characterization of variability in laser powder bed
fusion (LPBF) AM of metals to improve the quality of part
production with specific focus on batches. It summarizes the
factors that influence the variation and discusses the tools used
to improve part quality.
| Original language | English |
|---|---|
| Title of host publication | 22nd Annual International RAPDASA Conference |
| Pages | 174-178 |
| ISBN (Electronic) | 978-0-6397-0111-0 |
| Publication status | Published - 2021 |
| Event | 22nd Annual International RAPDASA Conference 2021: Rapid Product Development Association of South Africa – Robotics and Mechatronics – Pattern Recognition Association of South Africa ConferenceDigital Manufacturing: Industrialising Africa - International Convention Centre CSIR, Pretoria, South Africa Duration: 3 Nov 2021 → 5 Nov 2021 Conference number: 22 https://site.rapdasa.org/past-proceedings-2021/ |
Conference
| Conference | 22nd Annual International RAPDASA Conference 2021 |
|---|---|
| Abbreviated title | 2021 RAPDASA-RobMech-PRASA |
| Country/Territory | South Africa |
| City | Pretoria |
| Period | 3/11/21 → 5/11/21 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics of 'Importance of Characterizing the Variability for Batch Production using Laser Powder Bed Fusion'. Together they form a unique fingerprint.Research output
- 1 PhD Thesis - Research UT, graduation UT
-
QUALITY STRATEGY FOR METAL ADDITIVE MANUFACTURING: A STRATEGY BASED ON QUALITY BY DESIGN AND DESIGN FOR SIX SIGMA FOR BATCH PRODUCTION IN METAL LASER POWDER BED FUSION TECHNOLOGY
Sithole, C., 20 Jun 2025, Enschede: University of Twente. 254 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
Open AccessFile90 Downloads (Pure)
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