Technology design of composite parts

• Autorzy: Karjust K. , Küttner R. , Pohlak M.
• Języki publikacji: EN

Abstrakty

EN

Purpose: Purpose of this paper is to optimize the design of the manufacturing technology process of large composite plastic products. One of the key problems is how to integrate computer-based product design and planning of the technology process. Design/methodology/approach: In the current study the Neural Network meta-modelling technique has been used. The optimization of the plastic sheet and its strengthening layer thickness has been performed using the surrogate design model. For modeling and structural analysis of derivative products CAE (ANSYS) and CAD (Unigraphics) systems are used. The Finite Element Analysis simulation was performed with optimal thickness values to verify the prediction accuracy of a surrogate model. Findings: The optimization model is proposed to control and analyze the calculated technology planning route, the optimal vacuum forming processes, the technology of post-forming operations, strengthening and assembling operations. The design of the new products is tightly integrated with manufacturing aspects. The product family of the large composite plastic products together with the derivate products and their production technologies is designed using proposed methodology. The optimization of the plastic sheet and its strengthening layer thickness has been performed. Practical implications: The most of the methods described in this study are now under development and industrial testing. Development of manufacturing (operation) plans for a product family is of great practical importance with many significant cost implications. In design of derivative products for the product family, the nonlinear optimization is used and the detailed description of the product is established. The proposed approach is exemplified by the development of a family of products in Wellspa Inc. Originality/value: Value of this paper is that developed optimization model controls and analyzes the calculated technology planning route.

Słowa kluczowe

EN

composites; plastic forming; manufacturing technology management; artificial neural networks

PL

kompozyty; odkształcenie plastyczne; zarządzanie technologią wytwarzania; sztuczne sieci neuronowe

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2007
• Tom: Vol. 22, nr 2
• Strony: 23--26
• Opis fizyczny: Bibligr. 18 poz., rys., tab.

Twórcy

autor

Karjust K.

autor

Küttner R.

autor

Pohlak M.

• Department of Machinery, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia,

Bibliografia

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