DIMENSIONAL PREDICTION OF INJECTION MOLDED PARTS USING MELT PRESSURE TRACE AND NEURAL NETWORK

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SHELSH NEZHAD K.; TAGHI ZADEH SAMAD

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Journal Paper

Paper Information

Journal: Iranian Journal of Polymer Science and Technology Year:2008 | Volume:21 | Issue:3 (ISSUE NO. 95) Page(s): 191-199

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Information Journal Paper

Title

DIMENSIONAL PREDICTION OF INJECTION MOLDED PARTS USING MELT PRESSURE TRACE AND NEURAL NETWORK

Author(s)

SHELSH NEZHAD K. | TAGHI ZADEH SAMAD | Issue Writer Certificate

Keywords

INJECTION MOLDINGQ3

CAVITY PRESSUREQ3

VARIATIONSQ3

MOLDED PART DIMENSIONSQ3

NEURAL NETWORK MODELQ3

Abstract

The VARIATIONS in plastic INJECTION MOLDING process may lead to the inconsistency of molded parts' dimensions. Furthermore, due to the speed of production as well as post-shrinkage of molded parts make the control of process difficult and give inaccurate molded parts. The objective of this research is to predict the dimensions of injection molded parts on the basis of CAVITY PRESSURE during the molding process. At the first stage of experimentations, the VARIATIONS of molding process were determined under a base setting condition by using CAVITY PRESSURE measurement approach. At the second stage, the effects of molding parameters on the CAVITY PRESSURE profile as well as part's dimensions were studied. Following, an artificial neural-network model was implemented capable of predicting the molded part's dimensions based on the CAVITY PRESSURE. To increase the efficiency of proposed model, three features of the CAVITY PRESSURE trace encompassing maximum CAVITY PRESSURE, CAVITY PRESSURE-time integral value, as well as time to reach the maximum pressure were selected as neural-network inputs.

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APA: Copy

SHELSH NEZHAD, K., & TAGHI ZADEH, SAMAD. (2008). DIMENSIONAL PREDICTION OF INJECTION MOLDED PARTS USING MELT PRESSURE TRACE AND NEURAL NETWORK. IRANIAN JOURNAL OF POLYMER SCIENCE AND TECHNOLOGY (PERSIAN), 21(3 (ISSUE NO. 95)), 191-199. SID. https://sid.ir/paper/6574/en

Vancouver: Copy

SHELSH NEZHAD K., TAGHI ZADEH SAMAD. DIMENSIONAL PREDICTION OF INJECTION MOLDED PARTS USING MELT PRESSURE TRACE AND NEURAL NETWORK. IRANIAN JOURNAL OF POLYMER SCIENCE AND TECHNOLOGY (PERSIAN)[Internet]. 2008;21(3 (ISSUE NO. 95)):191-199. Available from: https://sid.ir/paper/6574/en

IEEE: Copy

K. SHELSH NEZHAD, and SAMAD TAGHI ZADEH, “DIMENSIONAL PREDICTION OF INJECTION MOLDED PARTS USING MELT PRESSURE TRACE AND NEURAL NETWORK,” IRANIAN JOURNAL OF POLYMER SCIENCE AND TECHNOLOGY (PERSIAN), vol. 21, no. 3 (ISSUE NO. 95), pp. 191–199, 2008, [Online]. Available: https://sid.ir/paper/6574/en

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