Infrared heating modeling of recycled PET preforms in injection stretch blow molding process
نویسندگان
چکیده
Relatively recent citizen’s consciousness about plastic pollution forces industrial actors of packaging to re-invent their shaping processes and materials. Specifically, for bottle industry shaping, classical Polyethylene Terephthalate (PET) material is little by replaced recycled PET (rPET). The change in composition due recycling loops leads an inevitable adaptation the Injection Stretch Blow Molding (ISBM) process used shape bottles at a satisfactory production rate. Indeed, rPET contains contaminants which modify its optical properties, so heating stage becomes material-dependent unstable regarding polymer supplier. approach adopted this article build numerical model able simulate infrared preforms, sensitive enough predict changes temperature To do so, properties 50% 100% are measured spectrometry implemented simulation. Thermal radiative heat transfer between lamps preforms simulated ray tracing method using in-house software so-called RAYHEAT. Then, result computation as input source thermal simulation commercial COMSOL Multiphysic® order distribution preform. results then confronted experimental ones obtained on research pilot, instrumented with thermography. show that end cycle grade 8 °C higher than virgin one. Also, simulations confirm difference attributed properties. Finally, sufficient forming 8% less energy consuming PET.
منابع مشابه
Precision Injection Molding PRECISION PROCESS CONTROL OF INJECTION MOLDING
1 INTRODUCTION The technical requirements of precision injection molded components demand a heightened level of process performance, and with corresponding process monitoring and control technologies. To obtain the desired critical to quality attributes (CTQs) of the molded products, the injection molding process must be consciously designed such that the key process variables (KPVs) are observ...
متن کاملMethod for the evaluation of stretch blow molding simulations with free blow trials
Finite-Element (FE) simulations are a valuable tool to support the analysis and optimization of production processes. In order to achieve realistic simulation results, a consistent simulation set-up followed by an evaluation through experiments is crucial. Stretch Blow Molding (SBM) is a commonly applied forming method to produce thin walled bottles. Polyethylene terephthalate (PET) preforms ar...
متن کاملNeural Modeling of Parison Extrusion in Extrusion Blow Molding
Back-propagation (BP) neural network is used to develop process models for the parison extrusion in extrusion blow molding based on experimental data. In applying the BP network, some modifications, such as using a self-adaptive learning rate coefficient, determining the number of hidden neurons through experimentation, and so on, to the original BP algorithm are carried out to speed up learnin...
متن کاملNumerical modeling of magnetic induction and heating in injection molding tools
Injection molding of parts with special requirements or features such as microor nanostructures on the surface, a good surface finish, or long and thin features results in the need of a specialized technique to ensure proper filling and acceptable cycle time. The aim of this study is to increase the temperatures as close as possible to the cavity surface, by means of an integrated induction hea...
متن کاملFinding efficient frontier of process parameters for plastic injection molding
Product quality for plastic injection molding process is highly related with the settings for its process parameters. Additionally, the product quality is not simply based on a single quality index, but multiple interrelated quality indices. To find the settings for the process parameters such that the multiple quality indices can be simultaneously optimized is becoming a research issue and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Thermal Sciences
سال: 2022
ISSN: ['1778-4166', '1290-0729']
DOI: https://doi.org/10.1016/j.ijthermalsci.2022.107762