A Computational and Experimental Study for the Improvement of a PET Bottle Machine
博士 === 國立虎尾科技大學 === 動力機械工程系機械與機電工程博士班 === 107 === Stretch-blow molding (SBM) is one of the classical methods to produce plastic bottles made from polyethylene terephthalate (PET). To obtain a better temperature distribution on the PET surface with different types of preforms, dimensions, and lengths...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/x63ke4 |
| Summary: | 博士 === 國立虎尾科技大學 === 動力機械工程系機械與機電工程博士班 === 107 === Stretch-blow molding (SBM) is one of the classical methods to produce plastic bottles made from polyethylene terephthalate (PET). To obtain a better temperature distribution on the PET surface with different types of preforms, dimensions, and lengths of PET, we need to use different numbers of lamps with different power intensity to adjust the heating conditions. This study proposes three methods for finding the number of lamps and density of lamps. The first method is an adaptive finite volume method to estimate the appropriate power intensity of the lamps that results in a good temperature distribution. The second method focuses on how to estimate and measure the temperature on a PET preform to make sure that there is a proper number of lamps and power intensity of each lamp. The third method provides a new cooling system for the SBM machine to obtain a better temperature distribution on the PET bottles. The implementation of these methods relies on the software packages COMSOL 5.2a and Ansys 15. The methods were tested using a thermal camera to measure the temperature distributions of the bottles, and the results were compared with the numerical results.
|
|---|