Numerical Simulation of Injection Stretch Blow Moulding: Comparison with Experimental Free Blow Trials

Menary, Gary; Tan, C.W.; Picard, M.; Billon, Noëlle; Armstrong, Cecil; Harkin‐Jones, Eileen

doi:10.1063/1.2729634

Cited by 10 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…11, which illustrates the intermediate preform shapes versus time. This result is consistent with the observations reported in previous studies about the preform shape versus time, and its relationship with the measured pressure [16,23,24,30]. We observe, however, that the increase in slope in pressure-versus-time curve, measured at approximately t ¼ 1.7 s, is predicted by the model at t ¼ 1.2 s. This might be a sign that the model underestimates the blowing time required to form the bottle.…”

Section: Results and Experimental Validationsupporting

confidence: 82%

“…Clearly, the internal pressure and the enclosed volume of the preform are fully coupled. Second, it was shown that applying the air pressure directly as a boundary condition could lead to unrealistic results [24]. Only a few studies have been reported on this specific point, and the subject is still opened.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, this subject will not be further discussed here. It is interesting to notice that recent works focus on integrating fluid-structure interaction models into SBM simulations [21][22][23][24]. These models, generally based on thermodynamic equations, are developed in order to automatically compute the air pressure inside the preform, instead of applying the pressure directly as a boundary condition.…”

Section: Introductionmentioning

confidence: 99%

“…This typical evolution of air pressure gives a good representation of the blowing kinematics. Menary et al [24] have shown that applying the pressure directly as a boundary condition might lead to unrealistic results. Indeed, a pressure drop would induce a deflation of the preform, which is inconsistent with the rapid inflation observed experimentally.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Optimization of preform temperature distribution for the stretch‐blow molding of PET bottles: Infrared heating and blowing modeling

Bordival

Schmidt

Maoult

et al. 2008

Polymer Engineering & Sci

View full text Add to dashboard Cite

This study presents an optimization strategy developed for the stretch-blow molding process. The method is based on a coupling between the Nelder-Mead optimization algorithm and finite element (FE) simulations of the forming process developed using ABAQUS 1 1 1 . FE simulations were validated using in situ tests and measurements performed on 18.5 g-50 cl polyethylene terephthalate bottles. To achieve that, the boundary conditions were carefully measured for both the infrared heating and the blowing stages. The temperature distribution of the perform was predicted using a 3D finite-volume software, and then applied as an initial condition into FE simulations. In addition, a thermodynamic model was used to predict the air pressure applied inside the preform, taking into account the relationship between the internal air pressure and the enclosed volume of the preform, i.e., the fluid-structure interaction. It was shown that the model adequately predicts both the blowing kinematics and the thickness distributions of the bottle. In the second step, this model was combined to an optimization loop to automatically compute the best preform temperature distribution, providing a uniform thickness for the bottle.

show abstract

Section: Results and Experimental Validationsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Optimization of preform temperature distribution for the stretch‐blow molding of PET bottles: Infrared heating and blowing modeling

Bordival

Schmidt

Maoult

et al. 2008

Polymer Engineering & Sci

View full text Add to dashboard Cite

show abstract

“…By using Finite‐Element (FE) simulations, the development and testing times for the LBO process could be significantly reduced. Several workgroups already applied FE‐tools to investigate the SBM process and related forming processes . One of the key features in these simulations is the PET material characterization.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation and numerical simulation of liquid supported stretch blow molding

Zimmer

Chauvin

Stommel

2014

Polymer Engineering & Sci

View full text Add to dashboard Cite

An innovative production process for PET bottles ad containers is analyzed in this article. Liquid Bi‐Orientation (LBO) is a liquid supported stretch blow molding (SBM), which combines the separate blowing and filling phases of conventional SBM. The process modification is mainly characterized by forming the bottle using the desired liquid product instead of pressurized air. Consequently, possible improvements evolve regarding production cycle time, energy consumption and machine footprint. To make use of these capabilities, comprehensive process understanding is required, which can be increased using numerical simulation methods. Therefore, in this article, an LBO process model is set‐up and experimentally evaluated. The model explicitly considers the fluid‐structure interaction between liquid and PET, which significantly influences the PET forming behavior. The key simulation parameters namely the strong rate and temperature dependency of PET and a realistic process parameter determination are also included. The model is evaluated using two different methods to show the reliability of the process prediction. POLYM. ENG. SCI., 55:933–944, 2015. © 2014 Society of Plastics Engineers

show abstract

Stochastic simulation of top load test on poly(ethylene terephthalate) bottles: An experimental study on dispersion of elastic properties

Nguyen

Luo

Chevalier

et al. 2021

J of Applied Polymer Sci

View full text Add to dashboard Cite

During the stretch blowing molding process, the elongation of macromolecular chains modifies the final mechanical properties of poly(ethylene terephthalate) (PET) bottle. Especially Young's modulus can be multiplied by two or more in the longitudinal direction and more than three times in the circumferential direction in the cylindrical region of the blown bottle and leads to orthotropic elastic properties. Using digital image correlation, we performed an identification process using two global tests. First, the virtual field method on a specific plane specimen with a hole, allows the identification of the Poisson's ratio. Second, the modulus is measured using a 3D digital image correlation from bottles under internal pressure. The shear modulus is then identified from the heterogeneous tension tests in the first step. Since all the induced mechanical properties exhibit dispersions, a probabilistic description of the orthotropic behavior law is managed and a stochastic simulation of the top load test is performed in order to define a confidence region for the bottle performance. The results of the simulation are validated by experimental measurements of top load tests performed on PET bottles.

show abstract

Numerical Simulation of Injection Stretch Blow Moulding: Comparison with Experimental Free Blow Trials

Cited by 10 publications

References 0 publications

Optimization of preform temperature distribution for the stretch‐blow molding of PET bottles: Infrared heating and blowing modeling

Optimization of preform temperature distribution for the stretch‐blow molding of PET bottles: Infrared heating and blowing modeling

Experimental investigation and numerical simulation of liquid supported stretch blow molding

Stochastic simulation of top load test on poly(ethylene terephthalate) bottles: An experimental study on dispersion of elastic properties

Contact Info

Product

Resources

About