On-line temperature measurements for polymer thermal conductivity estimation under injection molding conditions

Goff, Ronan Le; Delaunay, Didier; Boyard, Nicolas; Jarny, Y.; Jurkowski, Tomasz; Deterre, Rémi

doi:10.1016/j.ijheatmasstransfer.2008.07.053

Cited by 14 publications

(7 citation statements)

References 19 publications

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“…This difference is due to heat losses in the central plate, which is not thermally insulated with the surroundings. These losses were quantified in previous studies [2]- [3]. Then during part B the cooling goes on and the crystallization occurs.…”

Section: Description Of the Apparatusmentioning

confidence: 97%

A heat transfer analysis of injection molding of fiber-reinforced poly(m-xylylene adipamide)

et al. 2010

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In this paper, we present in a first time a methodology used to determine the thermophysical properties and the crystallization kinetics of a thermoplastic reinforced composite (MXD6). A specific instrumented device was developed to allow the molding of the polymer in conditions as close as possible to those met in the injection process. Measurements during molding are used by two inverse problems to compute the thermal conductivity in melted and solid phases and the kinetic parameters. The estimated values of thermal conductivity are compared to a model based on the orientation of the fibers through the thickness. Results from kinetics are compared to literature one. Heat transfers are then studied during the injection by using an instrumented mould. It is shown that during filling the heat transport term in the flow direction is negligible in front of transfer between the part and the mold. Then transfers are modelled within the thickness of the part by solving the energy equation coupled with the crystallization kinetic. The effects of pressure and shearing are introduced in the kinetic model through empirical acceleration functions. Results show that the shear seems to have no influence on the thermal contact resistance at the interface between the mould and the composite.

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Section: Description Of the Apparatusmentioning

confidence: 97%

A heat transfer analysis of injection molding of fiber-reinforced poly(m-xylylene adipamide)

et al. 2010

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“…Studies of TCR in IM can be traced back to the 1990s when a paper from Yu et al proposed an experimental method to characterize TCR and improve the results of a cooling simulation 1 . Many connections can be identified starting from this work, which has established the groundwork for more detailed publications and modeling in the early 2000s 2,3,36,37 . All these works focused on IM measurements, while CM setups became more popular in the late 2000s and into the 2010s.…”

Section: Literature Reviewmentioning

confidence: 99%

“…1 Many connections can be identified starting from this work, which has established the groundwork for more detailed publications and modeling in the early 2000s. 2,3,36,37 All these works focused on IM measurements, while CM setups became more popular in the late 2000s and into the 2010s.…”

Section: Data Collectionmentioning

confidence: 99%

Meta‐analysis of thermal contact resistance in injection molding: A comprehensive literature review and multivariate modeling

Masato,

Kazmer,

Gruber

2023

Polymer Engineering & Sci

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This article provides the first multivariate analysis of reported thermal contact resistance (TCR) values from different characterization approaches (injection and compression molding) having missing data. The missing data are estimated by principal components analysis (PCA) with alternating least squares (ALS), and then the main effects are modeled using multiple regressions. Three models of increasing complexity are presented, each of which provides reasonable model fidelity relative to the TCR values reported in the literature. The primary cause of differences between reported TCR values as characterized by injection molding and compression molding can be explained by the melting of the polymer to make intimate contact with the metal mold during processing. Typical values of TCR are on the order of 0.0002 m2K/W, corresponding to heat transfer coefficients of 5000 W/(m2K). The analyses suggest that the TCR decreases significantly with increasing processing temperature and pressure but increases most significantly during cooling with the development of an air gap between the polymer and mold. Accordingly, it is strongly recommended that injection molding simulations incorporate modeling of the TCR as a function of the processing states for accurate prediction of the air gap, residual stresses, shrinkage, and warpage.Highlights Multivariate analysis of thermal contact resistance data from the literature. Sparse data handled by principal component analysis and alternating least square. Comparison of injection molding and compression molding measurements. Results suggest thermal contact resistance should be modeled as a function of the processing states.

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“…The material used for the experiment is a homopolymer polypropylene from Solvay: Eltex PPHV252(MFI ¼ 11 g/10 min for 2.16 kg at 230°C). Its thermal properties and kinetics of crystallization have already been published in previous papers [19][20][21]. Thermal conductivity in semi-crystalline and amorphous states were measured by Le Bot with an experimental device developed in the laboratory, and by the heat probe of the PvT 100 apparatus manufactured by SWO Polymer-technik GmbH (Krefeld, Germany).…”

Section: Materials and Experimental Protocolmentioning

confidence: 99%

A New PvT Device for the Thermoplastics Characterization in Extreme Thermal Conditions

Tardif

Boyard

Sobotka

et al. 2013

KEM

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In this work, we present an apparatus associated to a methodology that is able to determine simultaneously and according to temperature (up to 400°C) the specific volume (up to 200MPa), the thermal conductivity and the temperature function of the crystallization kinetics. The PvT-XT is a home-built device that is able to impose and quantify 1D heat transfer through the radius of a sample. This apparatus controls the applied pressure on the sample while measuring its volume variations. The associated moving boundary model takes into account the temperature and crystallinity gradients. Specific volume is determined from direct measurement whereas inverse methods are used to estimate the thermal conductivity and the crystallization kinetics (with cooling rates up to 200K/min). Specific volume measurements are compared with literature results and exhibit a very good agreement. Thermal conductivity identified in the present paper is also very close to literatures values. Finally identification of kinetic function values is consistent with previous studies.

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On-line temperature measurements for polymer thermal conductivity estimation under injection molding conditions

Cited by 14 publications

References 19 publications

A heat transfer analysis of injection molding of fiber-reinforced poly(m-xylylene adipamide)

A heat transfer analysis of injection molding of fiber-reinforced poly(m-xylylene adipamide)

Meta‐analysis of thermal contact resistance in injection molding: A comprehensive literature review and multivariate modeling

A New PvT Device for the Thermoplastics Characterization in Extreme Thermal Conditions

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