The expert system supporting the assessment of the durability of forging tools

Gronostajski, Z.; Hawryluk, Marek; Kaszuba, M.; Marciniak, M.; Niechajowicz, A.; Polak, S.; Zwierzchwoski, M.; Adrian, A.; Mrzygłód, B.; Durak, J.

doi:10.1007/s00170-015-7522-3

Cited by 41 publications

(36 citation statements)

References 18 publications

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“…Only above 600°C temperature hardness decreases significantly because of the coagulation of precipitated carbides. The presence of chromium lowers the solubility of carbon in austenite, which in turn increases the amount of carbides in the steel [3][4][5]. Below are pictures of the microstructure of the surface layer of the material 1.2344 heat-preheated at 550°C, 600°C and 650°C by the time 2h.…”

Section: Conditions Of Work Toolsmentioning

confidence: 99%

“…This makes the operation conditions for non-lubricated, and thus non-cooled, tools to be different from the ones for lubricated tools. A little different case is with forging tools which are not lubricated or cooled, for which the typical degradation mechanism is abrasive wear and plastic deformation [3][4][5]7,10]. The research performed by the authors concerning the analysis of the surface layer of forging tools showed that, in the case of forging processes conducted at elevated temperatures, for typical tool work conditions (lubrication and cooling), the percentage of abrasive wear as the dominant degradation mechanism decreases [11][12], and the participation of thermo-mechanical fatigue significantly increases, this process being the one which accelerates the visible and easily measured abrasive wear, as a result of which the tools are removed from production [13][14].…”

Section: Introductionmentioning

confidence: 99%

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Factors Affecting the Wear Resistance of Forging Tools

Zwierzchowski

2017

Archives of Metallurgy and Materials

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The durability of forging tools is a function of many variables: tool heat treatment, surface quality, temperature, pressure, number of forgings, diffusion layers (nitriding) and many others. The objective of study was to analyze and compare the working conditions of forging tools. For the analysis of selected flat surfaces of tools. Analyzed forging dies subjected to normal use. Presented results of laboratory tests . The effect of temperature and time on the properties of the surface layer of forging tools. The results were compared with the literature data. This article shows the results of microhardness tests for forging dies which have forged the corresponding number of forgings. The results of laboratory studies on microhardness of hot working steel 1.2344 in the furnace at various temperatures and time are also presented. The working conditions of the forging tools are very complex. The most often described in the literature are: thermal fatigue, abrasive wear, mechanical fatigue and cracks. The article discusses the effects of increased temperature on the surface properties of forging tools. Forging dies were made of hot work tool steel 1.2344. FEM modeling of changes in the surface layer should take into account changes in tool hardness as a function of time (number of forgings).

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Section: Conditions Of Work Toolsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Wear Resistance of Forging Tools

Zwierzchowski

2017

Archives of Metallurgy and Materials

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“…The lesser data is in the system rules, the lower the quality of mechanisms identification will be. To combine rules, probability-based fuzzy approach was used in [16]. Such an attempt of classification by dividing typical geometry elements requires empirical data, which is not always accessible.…”

Section: Hybrid Modelmentioning

confidence: 99%

“…Lower die in forging of a front wheel of the clutch described in [17] was considered. Nine measurement points, in which different wear mechanisms occur, were selected in this die, see.…”

Section: Verification and Identificationmentioning

confidence: 99%

Computer system for identification of tool wear model in hot forging

et al. 2016

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Abstract. The aim of the research was to create a methodology that will enable effective and reliable prediction of the tool wear. The idea of the hybrid model, which accounts for various mechanisms of tool material deterioration, is proposed in the paper. The mechanisms, which were considered, include abrasive wear, adhesive wear, thermal fatigue, mechanical fatigue, oxidation and plastic deformation. Individual models of various complexity were used for separate phenomena and strategy of combination of these models in one hybrid system was developed to account for the synergy of various mechanisms. The complex hybrid model was built on the basis of these individual models for various wear mechanisms. The individual models expanded from phenomenological ones for abrasive wear to multiscale methods for modelling micro cracks initiation and propagation utilizing virtual representations of granular microstructures. The latter have been intensively developed recently and they form potentially a powerful tool that allows modelling of thermal and mechanical fatigue, accounting explicitly for the tool material microstructure.

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“…In an age of rapidly developing technology, an important element of the design and control of the process are information systems, including decision support tools [1][2][3]. The knowledge base of such systems consist of two types of formal resource-one of them is a set of decision rules [4,5], and the second-the repository of documents containing technological knowledge necessary for decision-making in emergency situations, in the non-routine activities [6,7]. Such documents that can be used, must be prepared ex ante-digitized, described, ready to search.…”

Section: Introductionmentioning

confidence: 99%

Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques

Regulski

2017

Archives of Metallurgy and Materials

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The process of knowledge formalization is an essential part of decision support systems development. Creating a technological knowledge base in the field of metallurgy encountered problems in acquisition and codifying reusable computer artifacts based on text documents. The aim of the work was to adapt the algorithms for classification of documents and to develop a method of semantic integration of a created repository. Author used artificial intelligence tools: latent semantic indexing, rough sets, association rules learning and ontologies as a tool for integration. The developed methodology allowed for the creation of semantic knowledge base on the basis of documents in natural language in the field of metallurgy.

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The expert system supporting the assessment of the durability of forging tools

Cited by 41 publications

References 18 publications

Factors Affecting the Wear Resistance of Forging Tools

Factors Affecting the Wear Resistance of Forging Tools

Computer system for identification of tool wear model in hot forging

Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques

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