Abstract

Glass blowing to create bottles with specific thickness distribution profiles requires several experimental iterations. Such iterations are expensive and increase the time to market. The use of simulation pretends to decrease the amount of prototypes by doing virtual validation of glass blowing molds. To feed simulations with realistic physical values, a gob drop test has been designed. This test provides valuable experience on the use of the software and validates heat transfer, viscosity and other physical parameters. Gob drop test was chosen for the possibility to record the test with infrared thermal cameras. Gob obtained similar shapes when dropped on a cast iron plate for both central and side sections with longer cooling of about 25°C. Such technique allowed the user to gain experience on the use of software and obtain valuable physical parameters for future glass blowing optimization.

Highlights

  • Glass containers have been used during ages

  • Several gob drop tests and simulations have been performed under different working conditions

  • Glass temperatures of around 25 oC when compared to central section gobs with a good statistical repeatability

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Summary

Introduction

Glass containers have been used during ages. For packaging industry certain qualities are required, and glass has most of them: it is an innocuous and hermetic material that allows long-term preservation, it is a recyclable material and it adds a lot of value to the final product. Ramon Clemente (RC) is a glass container manufacturing company for the perfume sector. It has about 75 years experience, but like many other glass companies, developing new containers and its mold equipment is still made in the old fashioned way. There is a lot of empirical knowledge on molds design, but at the end most of it is reduced to trial and error. This means that for every new container development, new molds are designed, machined and tested at the production line. The formed containers are analyzed and adjustments are made in the mold and in the process conditions until desired quality is reached

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