Prediction of the thermal degradation–induced colour change of acrylonitrile butadiene styrene products as a function of temperature and titanium dioxide content

• A new method can predict the long-term colour change of polymers. • Models can be used to determine the optimum amount of colouring agent. • For ABS products, TiO 2 does not reduce the rate of colour change above 3 wt%. In this study, we examined the thermal degradation–induced colour change of acrylonitrile butadiene styrene (ABS)–based titanium dioxide (TiO 2 )–doped products as a function of TiO 2 content and temperature. Based on the time–temperature superposition (tTS) principle and the CIELAB colour space, we proposed a methodology for developing a robust model to estimate the long-term colour change of polymers doped with TiO 2 at elevated temperatures. We used 800 h of measurement data to develop the model and validated the colour change predictions of the model in 1600 h. The average colour difference between the measured and modelled results at the application temperature range (below 80 °C) was <1.5, smaller than the just noticeable difference ( JND ) in the CIELAB colour space. We found that above a certain TiO 2 content (approximately 3 wt%), the colour retention of the ABS/TiO 2 specimens can no longer be improved by increasing their TiO 2 content. To show the applicability of the model, we present two simple case studies predicting the colour and appearance of a polymer product under constant and variable heat loads. The proposed methodology provides an excellent tool for design, as it can be used to determine the optimum amount of TiO 2 . Moreover, it accelerates and simplifies the design process.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2024-12-01
DOI
https://doi.org/10.1016/j.rineng.2024.103505
Citations
1
Primary Topic
Pigment Synthesis and Properties
Type
article
Field-Weighted Citation Impact
0.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of the thermal degradation–induced colour change of acrylonitrile butadiene styrene products as a function of temperature and titanium dioxide content

Dániel Török, András Suplicz, Ábris Dávid Virág
1 citations
Results in Engineering
Pigment Synthesis and Properties
0.16
article

Prediction of the thermal degradation–induced colour change of acrylonitrile butadiene styrene products as a function of temperature and titanium dioxide content

Dániel Török, András Suplicz, Ábris Dávid Virág
article en
1 citations

Abstract

• A new method can predict the long-term colour change of polymers. • Models can be used to determine the optimum amount of colouring agent. • For ABS products, TiO 2 does not reduce the rate of colour change above 3 wt%. In this study, we examined the thermal degradation–induced colour change of acrylonitrile butadiene styrene (ABS)–based titanium dioxide (TiO 2 )–doped products as a function of TiO 2 content and temperature. Based on the time–temperature superposition (tTS) principle and the CIELAB colour space, we proposed a methodology for developing a robust model to estimate the long-term colour change of polymers doped with TiO 2 at elevated temperatures. We used 800 h of measurement data to develop the model and validated the colour change predictions of the model in 1600 h. The average colour difference between the measured and modelled results at the application temperature range (below 80 °C) was <1.5, smaller than the just noticeable difference ( JND ) in the CIELAB colour space. We found that above a certain TiO 2 content (approximately 3 wt%), the colour retention of the ABS/TiO 2 specimens can no longer be improved by increasing their TiO 2 content. To show the applicability of the model, we present two simple case studies predicting the colour and appearance of a polymer product under constant and variable heat loads. The proposed methodology provides an excellent tool for design, as it can be used to determine the optimum amount of TiO 2 . Moreover, it accelerates and simplifies the design process.

Results in EngineeringVol. 24
Budapest University of Technology and Economics (HU), Montavid Thermodynamic Research Group (HU)
Openalex Percentile: Top 55%
Pigment Synthesis and Properties
0.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.