Analysis of Temperature Fields Distribution in the Technological Tooling for Transfer Molding

Golovatov, Dmitry; Mikhaylov, Maxim; Bosov, Aleksey

doi:10.17485/ijst/2016/v9i46/107494

Cited by 2 publications

(2 citation statements)

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“…These work-pieces have been produced by triaxial radial winding on a metal double-diameter mandrel of the carbon tape (Table 1) at the different reinforcing angles, which correspond to the following lay-up options: (0º/±15º) 4 ; (0º/±25º) 4 ; (0º/±35º) 4 ; (0º/±45º) 4 ; (0º/±55º) 4 ; (0º/±65º) 4 ; (0º/±75º) 4 described earlier (Table 2). The experimental models were impregnated on a transfer-molding machine for products from fi brous polymer composite materials described in paper [11]. The polymer binder with properties specifi ed in Table 1 was used as a matrix material.…”

Section: Methodsmentioning

confidence: 99%

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Application of neural simulation methods for technological parameters identification of composite products injection molding process

Alexandrov¹,

Maxim²,

Andrey³

2020

J Appl Eng Science

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The article presents the research results of technological parameters of composite material products manufacturing by the injection transfer molding method using automated tools of preproduction engineering. For the verifi cation of computer simulation results, experimental studies have been carried out on the injection-molding machine for products from fi brous polymer composite materials. The conducted comparative analysis of calculated and actual values of impregnation technological parameters has led us to the conclusion that for the effective application of the modern software for preproduction engineering of composite products it may be necessary to make a joint correction of the input data used for the calculation obtained from the preliminary independent experimental research of the complex of properties for each used component of the composite material. For the joint correction of the input data used for the calculation and improvement of the effi ciency of automation systems for preproduction engineering of composite products, the concept of the neural simulation tools application for the technological process of composite products manufacturing by injection molding methods has been proposed. For training and testing of the neural model, experimental studies of the impregnation of the products with the surface curvature of the second order have been conducted. The optimization problem was solved by forecasting the front movement of the technical fl uid in the volume of preforms during transfer molding.

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Section: Methodsmentioning

confidence: 99%

“…In order to utilize fully the advantages of adaptability, it is necessary to form a database consisting of a set of input and output signals. The study of the impregnation process parameters of double-curved surfaces was carried out on the transfer-molding machine equipped with a special registration system described in works [11,16].…”

Section: Methodsmentioning

confidence: 99%