Experimental investigation of the drying process of automotive base paints

Geipel, Christian; Stephan, Peter

doi:10.1016/j.applthermaleng.2004.11.025

Cited by 19 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3−8 EO provides an important surface activity, making EGBE one of the smallest surfactants. EGBE application scope covers several uses: as a component in fracturing and drilling fluids for the petroleum industry, 9,10 as an additive in ink, lacquers, varnishes, and enamels in the painting industry, 11,12 and as a cosurfactant in cleaning products, 13−15 among others. To predict its performance in such applications, it is important to know its physical properties, especially the surface tension behavior in aqueous systems.…”

Section: ■ Introductionmentioning

confidence: 99%

“…The alcohol from which it is synthesized ( n -butanol) is partially soluble in water at room conditions, with an upper critical solubility temperature ( T = 403.1 K and a molar fraction of 0.1070). , The addition of an ethylene oxide (EO) molecule, as part of the hydrophilic region, dramatically changes its physical properties to a completely miscible solvent in water at room temperature and the phase diagram changes to a closed two-phase loop with an upper and lower critical solubility temperature (around 402.86 and 322.12 K for the upper and lower critical solution temperature, respectively). − EO provides an important surface activity, making EGBE one of the smallest surfactants. EGBE application scope covers several uses: as a component in fracturing and drilling fluids for the petroleum industry, , as an additive in ink, lacquers, varnishes, and enamels in the painting industry, , and as a cosurfactant in cleaning products, − among others. To predict its performance in such applications, it is important to know its physical properties, especially the surface tension behavior in aqueous systems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Surface Tension and Density of Ethylene Glycol Monobutyl Ether–Water Mixtures from 277.15 to 308.15 K

Velasco-Medina

Gracia-Fadrique

2020

J. Chem. Eng. Data

View full text Add to dashboard Cite

ethylene glycol monobutyl ether−water mixtures were measured. Experimental surface tension vs concentration data was described utilizing the Volmer surface equation of state, coupled with the Gibbs adsorption isotherm, which provides two nonempirical fitted parameters: the activity coefficient at infinite dilution of the bulk and the two-dimensional virial coefficient. Density experimental data shows negative excess volume deviations through all composition range, with abnormal behavior around 0.02 in mole fraction of the solute, which tends to diminish as temperature increases. A Redlich−Kister type model for strongly associated components was used to describe excess volume behavior.

show abstract

Section: ■ Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Surface Tension and Density of Ethylene Glycol Monobutyl Ether–Water Mixtures from 277.15 to 308.15 K

Velasco-Medina

Gracia-Fadrique

2020

J. Chem. Eng. Data

View full text Add to dashboard Cite

show abstract

“…For instance, Lamaison et al (2001) carried out an experimental study of transfer phenomena during drying of aqueous paint under IR heating. Similarly, using different mode of heating, Geipel and Stephan (2005) presented experimental results of convective drying of automotive base paints. Combining IR and microwave heat source, Salagnac et al (2004) developed a model to describe the drying behavior of a porous medium.…”

Section: Introductionmentioning

confidence: 98%

Modeling of Infrared Drying of Polymer Solutions

Islam¹,

Dhib²,

Dahman³

2010

Chemical Product and Process Modeling

View full text Add to dashboard Cite

This work presents the dynamic modeling of drying behavior of polymer solutions in an infrared-convective oven. Two study cases were considered for the drying process. The first one deals with the drying of a coated polymer solution on a fixed substrate while the second one includes drying of the same solution on a moving substrate in an infrared (IR) oven. Both models involve simultaneous heat and mass transfer equations that describe changes in the solvent concentration and the polymer temperature during the drying process. The set of partial differential equations (PDEs) arising from the mass and energy balances constitute a highly nonlinear system due to inter-dependence of the thermodynamic and transport properties of polymer solutions. The models were numerically solved and were validated using published experimental data. The models were employed to simulate the drying of a polyvinyl acetate coating (in toluene) on a polyester substrate. Results obtained from the derived model demonstrated the importance of parameters such as web velocity, heater temperature, and inlet air velocity in the IR drying process. In general, high temperature and air velocity cause rapid drying of the polymer coating, while high substrate velocity resulted in drying. This model can be applied on any industrial applications that include continuous IR drying process of polymer-coated layers to predict the drying behavior of the coated product.

show abstract

“…In continuous ovens, a steady stream of products arrive at the entrance of the oven, experience specific thermal conditions and then leave the oven at the exit. More detailed explanations regarding the paint curing process and discussions on the effects of different parameters on the paint quality can be found in works of Young (1976), Bartley (1999), Maag et al (2000) and Geipel and Stephan (2005).…”

Section: Introductionmentioning

confidence: 99%

Optimal design of radiation paint cure ovens using a novel objective function

Mehdipour

Aghanajafi

Ashrafizadeh

2012

Pigment &Amp; Resin Technology

View full text Add to dashboard Cite

PurposeThe purpose of this paper is to model radiation ovens and to propose a method capable of designing this kind of oven for the paint curing application. Providing a uniform cure condition on the body, especially bodies of complicated geometries, needs accurately‐designed ovens. An algorithm with high speed and high convergence capability is the most serious requirement for designing ovens of this kind.Design/methodology/approachIn this paper, the state of the art in dynamic optimisation of radiation paint cure ovens is reviewed and a novel objective function, based on paint cure window, is proposed to be applied for designing radiation ovens. It has been shown that the proper definition of the objective function in such problems makes the mathematical model more robust and hence facilitates the convergence of the design iterations.FindingsThe computational results provide some information regarding the design space topology and show that the proposed objective function speeds up the convergence of the design procedure by an order of magnitude as compared to the currently used industrial‐standard objective function.Practical implicationsDetermination of curing condition is an important requirement for designing a new oven or changing the working condition of an existing oven. In this research, a practical method is proposed for improving design procedure of cure ovens to make the method both time and cost efficient. The method is specifically implemented on paint cure ovens.Originality/valueThe quality of cured paint is usually a prominent issue that directly takes influence from the curing condition of ovens. For the complex geometries of curing body in commonly designed ovens, some areas are not properly cured or may be burnt. This issue is a significant defect in coating industry. Designing ovens with the proposed method in this paper guaranties the provided curing condition by the oven and therefore the curing quality.

show abstract

Experimental investigation of the drying process of automotive base paints

Cited by 19 publications

References 4 publications

Surface Tension and Density of Ethylene Glycol Monobutyl Ether–Water Mixtures from 277.15 to 308.15 K

Surface Tension and Density of Ethylene Glycol Monobutyl Ether–Water Mixtures from 277.15 to 308.15 K

Modeling of Infrared Drying of Polymer Solutions

Optimal design of radiation paint cure ovens using a novel objective function

Contact Info

Product

Resources

About