skip to main content
Idioma:

Development of an Approximation Model of Selected Properties of Model Materials Used for Simulations of Bulk Metal Plastic Forming Processes Using Induction of Decision Trees

Hawryluk, M. ; Wilk-Kołodziejczyk, D. ; Regulski, K. ; Głowacki, M.

Archives of metallurgy and materials, 2019-01, Vol.64 (3), p.1073-1085 [Periódico revisado por pares]

Warsaw: Polish Academy of Sciences

Texto completo disponível

Citações Citado por
  • Título:
    Development of an Approximation Model of Selected Properties of Model Materials Used for Simulations of Bulk Metal Plastic Forming Processes Using Induction of Decision Trees
  • Autor: Hawryluk, M. ; Wilk-Kołodziejczyk, D. ; Regulski, K. ; Głowacki, M.
  • Assuntos: Algorithms ; Approximation ; Compression tests ; Data mining ; Decision trees ; Mechanical properties ; Metal forming ; physical modelling ; properties approximation ; regression trees induction ; Simulation ; soft model materials ; Verification
  • É parte de: Archives of metallurgy and materials, 2019-01, Vol.64 (3), p.1073-1085
  • Descrição: The article discusses the development of an approximation model of selected plastic and mechanical properties obtained from compression tests of model materials used in physical modeling. The use of physical modeling with the use of soft model materials such as a synthetic wax branch with various modifiers is a popular tool used as an alternative or verification of numerical modeling of bulk metal forming processes. In order to develop an algorithm to facilitate the choice of material model to simulate the behavior of real-metallic materials used in industrial production processes the induction of decision trees was used. First of all, the Statistica program was used for data mining, which made it possible to determine / find the relationship between the percentage of particular constituents of the model material (base material and modifiers) and yield strength, critical and maximum strain, and provide the opportunity to indicate the most important variables determining the shape of the stress – strain curve. Next, using the induction of decision trees, an approximation model was developed, which allowed to create an algorithm facilitating the selection of individual modifying components. The last stage of the research was verification of the correctness of the developed algorithm. The obtained research results indicate the possibility of using decision tree induction to approximate selected properties of modeling materials simulating the behavior of real materials, thus eliminating the need for costly and time-consuming experiments carried out on metallic material.
  • Editor: Warsaw: Polish Academy of Sciences
  • Idioma: Polonês;Inglês
Voltar para lista de resultados

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.