Wyniki wyszukiwania - BazTech

1

Knowledge base development for assembly planning using evidence theory

Kutschenreiter-Praszkiewicz Izabela, Matuszny Marcin

Journal of Machine Engineering

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2022

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Vol. 22, No. 2

125--137

EN

This paper presents an approach to assembly planning in the early phase of product development. The product specification, workstation, environment, equipment and tools are not fully known in the early stage of product development. When comparing product variants at this stage there is a lack of data that affects the efficiency of the manufacturing process. It is therefore necessary to apply methods useful in processing incomplete and uncertain data. The main indicator which helps in comparing different product variants is manufacturing time standard. This papier is focused on assembly tool selection which is one of important data influenced assembly time. Based on the proposed algorithm and case study, a tool selection method using a decision tree induced from a training set with reduced uncertainty is presented.

2

Learning system of manufacturing knowledge acquisition

Rojek I.

Image Processing & Communications

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2006

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Vol. 11, no 1

19-23

EN

In the paper, learning system of manufacturing knowledge acquisition in the range of tool selection to machining operation was presented. Currently often and often research concerning machine learning is developed. Machine learning includes issues of system designing which improves its operations, along with analysis of experience represented by file of learning examples. Recently, machine learning methods have been applied successfully in many practical problems and are becoming a part of advanced information systems - in particular concerning knowledge discovery in databases, and the so-called data mining. Learning system acquires knowledge by using the method of decision trees induction. This method allows approximation of classification functions of discrete output values relating to certain terms, decision classes. The system learns to select tools on the basis of the ones chosen out of the database by process engineering experts for machining operations. In the method of decision trees induction a decision tree is created. This tree allows classification of the whole learning examples file into homogeneous classes. On the basis of the decision tree, decision rules are created. Next, these rules are used in expert system for selection of tools from outside of the file of learning examples.

3

The influence of main parameters of the process of forging on the internal quality of forging for steel 35HM.

Banaszek G., Dyja H., Berski S.

Inżynieria Materiałowa

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2001

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R. XXII, nr 4

197-199

EN

The article discusses the effect of the main forging parameters and the selection of tools on improving the internal quality of forgings and closing up discontinuities of metallurgical origin during forging. As a result of investigations, the optimal values of the main technological parameters of forging have been determined, and the application of an appropriate group of tools have been proposed for the flat die forging of forgings.

PL

Przeprowadzono analizę laboratoryjną procesu kucia. Wyniki otrzymane z procesu opracowano przy użyciu programu graficznego. Badano wpływ stopnia przekucia materiału i kształtu narzędzi na zamykanie się wad materiałowych pochodzenia metalurgicznego. W wyniku badań ustalono optymalne wartości głównych parametrów technologicznych kucia oraz zaproponowano stosowanie odpowiedniej grupy narzędzi dla kucia swobodnego odkuwek.