Maintenance Supervision of the Dies Condition and Technological Quality of Forged Products in Industrial Conditions

• Autorzy: Joanna Krajewska-Śpiewak , Jan Turek , Józef Gawlik
• Języki publikacji: EN

Abstrakty

EN

Wear of the working surfaces of the forging dies in the process of manufacturing products with the die forging technique leads to deterioration of their operational properties as well as their technological quality. A characteristic feature of production in small and medium-sized enterprises is the high variability of the product range and short production series, which can 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 of forging is usually used to assess the quality of products. An important problem is, whether by taking up another order for a series of the same type of product, it will be possible to implement 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 basis of a technological criterion, easy to determine in the conditions of small and medium-sized enterprises. The paper presents the results of the wear assessment of a die made out of hot-work tool steel X37CrMoV5-1 (WCL) and dies made of 42CrMo4 alloy structural steel with hardfacing working surfaces by F-818 wire. To determine and forecast the process of die wear, a mathematical model in the form of neural networks was used. Their task was to forecast the ratio of the increment in introduced wear intensity indicator to the number of forgings made during the process. Taking into account the ability of neural networks to learn, their use in the diagnostic process is justified. (original abstract)

Słowa kluczowe

EN

Neural networks; Production process

PL

Sieci neuronowe; Proces produkcji

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2021
• Tom: 12
• Numer: nr 2
• Strony: 27--32

Twórcy

autor

Joanna Krajewska-Śpiewak

• Cracow University of Technology, Poland

autor

Jan Turek

autor

Józef Gawlik

• Cracow University of Technology, Poland

Bibliografia

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Identyfikatory

DOI

10.24425/mper.2021.137675