Maintenance supervision of the dies condition and technological quality of forged products in industrial conditions
Authors:
- Joanna Krajewska-Śpiewak,
- Jan Turek,
- Józef Gawlik
Abstract
Wear of the working surfaces of the forging dies in the process of manufacturing productswith the die forging technique leads to deterioration of their operational properties as well astheir technological quality. A characteristic feature of production in small and medium-sizedenterprises is the high variability of the product range and short production series, whichcan be repeated in the case of re-orders by customers. In this type of production conditions,a technological criterion in form of – a change in the characteristic and selected dimension offorging is usually used to assess the quality of products. An important problem is, whetherby taking up another order for a series of the same type of product, it will be possible toimplement it with the existing die, or should a new die be made?As a result of the research carried out in the company implementing this type of contract,a procedure was proposed for forecasting the abrasive wear of die working surfaces on the basisof a technological criterion, easy to determine in the conditions of small and medium-sizedenterprises.The paper presents the results of the wear assessment of a die made out of hot-work toolsteel X37CrMoV5-1 (WCL) and dies made of 42CrMo4 alloy structural steel with hardfacingworking surfaces by F-818 wire. To determine and forecast the process of die wear, a mathe-matical model in the form of neural networks was used. Their task was to forecast the ratio ofthe increment in introduced wear intensity indicator to the number of forgings made duringthe process. Taking into account the ability of neural networks to learn, their use in thediagnostic process is justified.
- Record ID
- CUTddf22b8be5ce4beeb066b65d0f85b054
- Publication categories
- ;
- Author
- Journal series
- Management and Production Engineering Review, ISSN 2080-8208, e-ISSN 2082-1344
- Issue year
- 2021
- Vol
- 12
- No
- 2
- Pages
- 27-32
- Other elements of collation
- schem.; tab.; wykr.; Bibliografia (na s.) - 32; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 12, No 2
- Keywords in English
- the intensity of die wear, forging technological quality, neural networks
- DOI
- DOI:10.24425/mper.2021.137675 Opening in a new tab
- URL
- https://journals.pan.pl/dlibra/journal/99848 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTddf22b8be5ce4beeb066b65d0f85b054/
- URN
urn:pkr-prod:CUTddf22b8be5ce4beeb066b65d0f85b054
* 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.