Improving the quality of castings used in light vehicles
Authors:
- Karolina Czerwińska,
- Renata Dwornicka,
- Andrzej Pacana
Abstract
The research objective was to diagnose aluminum gearbox castings using the proposed diagnosis methodology and pro-quality analysis. The study identified the most severe non-conformity (in terms of frequency of occurrence and its consequences) – the sandblasting within the casting base. The presence of forming compounds in the liquid melt contributing to the most severe non-conformity was identified as the critical cause of the loss of quality stability of the process. So far, no pro-quality analyses have been performed in the company using a sequence of quality management methods. As a result, the implemented corrective actions have not led to the full achievement of quality objectives, which indicates the validity of the actions taken. Combining the analysis of types of nonconformities and quality management methods is a universal way to facilitate supervision and ensure appropriate product quality. Further studies will refer to the performance of pro-quality analyses for other products offered by the company.
- Record ID
- CUT17ee88dc8694419295421d8a095d9a4e
- Publication categories
- ; ;
- Author
- Pages
- 841-847
- Other elements of collation
- rys.; tab.; Bibliografia (na s.) - 846-847; Bibliografia (liczba pozycji) - 21; Oznaczenie streszczenia - Abstr.
- Book
- METAL 2022 : 31st International Conference on Metallurgy and Materials, May 18-19, 2022, Brno, Czech Republic, EU: conference proceedings, METAL International Conference on Metallurgy and Materials, 2022, Ostrawa, TANGER Ltd., ISBN 978-80-88365-06-8
- Keywords in English
- mechanical engineering, quality engineering, quality management, casting
- DOI
- DOI:10.37904/metal.2022.4523 Opening in a new tab
- URL
- https://www.confer.cz/metal/2022 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Score source
- publisherList
- Score
- Additional fields
- Indeksowana w: Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT17ee88dc8694419295421d8a095d9a4e/
- URN
urn:pkr-prod:CUT17ee88dc8694419295421d8a095d9a4e
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.