ISSN:
1662-9752
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
This paper presents a methodology for obtaining an optimal parting line of an injectionmould based on FEM analysis and managements. This research utilizes Taguchi’s method to design a DATABASE for the gate position and warping of parts. Firstly, it sets up an injection model via a CAD system, and secondly, utilizes FEM to analyze the warp of the injection mould in different gate positions. Because of different gate positions, the parts experienced extreme differences in the amount of warping. This paper applies the neural network (abductive network) to build the relationship (database) between the gate position and amount of warp. Engineers can use thisdatabase without recourse to a CAD model and FEM solution to predict the amount of warping at different gate positions. This procedure saves time in building CAD models and on carrying out FEM analysis. The optimal parting line parameters can then be reached through a Simulated Annealing (SA) optimization algorithm. The methodology uses multi-objective function criteria, with a performance index to obtain perfect parts. This method of database management can offer various design fields of injection mould (e.g., design of gating and runner, and design of coolingsystem). It already achieves real optimization of design for injection moulding
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/02/12/transtech_doi~10.4028%252Fwww.scientific.net%252FMSF.505-507.895.pdf
Permalink
