1. Non-contact measurement of the temperature profile of PET preforms
- Author
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Giovanni Moschioni, Hermes Giberti, Marco Tarabini, Diego Scaccabarozzi, Luca Cornolti, and Bortolino Saggin
- Subjects
Computer science ,Measurement uncertainty ,Instrumentation ,Noncontact measurements ,Budget control ,Mechanical engineering ,02 engineering and technology ,01 natural sciences ,Thermopile ,Temperature profile ,Thermal mapper ,Thermal ,Calibration ,Emissivity ,Infrared ,ISBM machine ,Uncertainty ,Electrical and Electronic Engineering ,0202 electrical engineering, electronic engineering, information engineering ,Preforming ,Blow molding ,Temperature control ,Thermopiles Accuracy limitations ,Applied Mathematics ,Temperature profiles ,020208 electrical & electronic engineering ,010401 analytical chemistry ,Process (computing) ,Electromagnetic wave emission ,Measurement uncertainty budget ,Condensed Matter Physics ,External temperature ,Online measuring systems ,0104 chemical sciences ,Maintainability ,Internal temperature - Abstract
This paper describes a system for the measurement of the internal and external temperature profiles of PET preforms used in the Injection Stretch Blow Moulding (ISBM) process. Many works in literature highlighted the importance of these quantities to improve the production quality of PET bottles, but none addressed the development of a measuring system suitable for this scope. A measuring system based on two thermopiles for the identification of the internal temperature profile and a thermal camera for the measurement of the external one has been designed. The adopted sensors were individually calibrated and the uncertainty budget, accounting for both instrumental uncertainties and the effect of multiple reflections, was derived. A prototype of the measuring system was tested on an industrial ISBM machine. The dependence of the preforms temperature profile on the settings of the ISBM machine was investigated. Results evidenced that the minimum variations of the machine settings induced temperature differences significantly larger than the measurement uncertainty, thus proving the effectiveness of the proposed system.
- Published
- 2019
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