| Titre : |
Take the fast lane with automation : High-throughput systems can lead to efficient and rapid processing of optimisation projects |
| Type de document : |
texte imprimé |
| Auteurs : |
Claudia Bramlage, Auteur ; Ellen Reuter, Auteur ; Philipp Isken, Auteur |
| Année de publication : |
2021 |
| Article en page(s) : |
p. 46-52 |
| Langues : |
Anglais (eng) |
| Catégories : |
Automatisation
Essais (technologie)
Formulation (Génie chimique)
Revêtements organiques
Technique de la production
|
| Index. décimale : |
667.9 Revêtements et enduits |
| Résumé : |
Every year, approximately 43 million tons of coatings are used worldwide: they protect surfaces from corrosion, give them special characteristics such as electrical or thermal conductivity, extend the longevity of consumer goods, and often have a decorative character. At the same time, the demands placed on coatings are constantly increasing, and paint formulators must constantly meet new requirements in the face of evergrowing complexity and changing regulatory framework. |
| Note de contenu : |
- Preparation of coating formulations
- Automated paint testing
- Case study I : Optimisation of pigment concentrates by combining polymeric wetting and dispersing additives
- Optimised data management
- Case study II : Simplification of a formulation by reducing the number of additives
- High-throughput systems offer powerful support
- Fig. 1 : Comparison of colour strength development of PB 1 5:3 pigment concentrates for rotary mixer (HTE - 6 min duration) ami Skandex shaker (lab - 2h duration)
- Fig. 2 : Substrates produced by the HTE system with rub-out test - left side shows very good pigment stabilisation, right side shows sample with insufficient pigment stabilisation
- Fig. 3 : Setup of samples in case study I
- Fig. 4 : Process steps in case study I
- Fig. 5 : Positive effect of the use of a Grind Aid for a PG 36 pigment concentrate
- Fig. 6 : Simplified version of a model ho predict properties of a pigment concentrate
- Fig. 7 : Formulation assistants allow to indicate the importance of performance criteria & recommend a formulation based on this input
- Fig. 8 : Typical steps in a workflow for defoamer testing
- Fig. 9 : Optimisation of an architectural base paint - rub-out values on similar or better level for 3 pigment concentrates afher optimisation
- Table : Optimisation of an architectural paint formulation - comparison of formulations before and after optimisation |
| Permalink : |
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in EUROPEAN COATINGS JOURNAL (ECJ) > N° 9 (09/2021) . - p. 46-52
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Take the fast lane with automation in EUROPEAN COATINGS JOURNAL (ECJ), N° 9 (09/2021)
