Smart data analysis for optimized manufacturing of powder coatings on corotating twin screw extruders

Sophie Pachner; Jürgen Miethlinger

doi:10.1063/1.5084854

Smart data analysis for optimized manufacturing of powder coatings on corotating twin screw extruders

Sophie Pachner
, Jürgen Miethlinger

Institute of Polymer Processing and Digital Transformation

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

This paper addresses smart data mining techniques for analyzing the processing of selected powder coatings on co-rotating twin screw extruders. The influences of different machinery and process parameters on optical quality criteria such as degree of gloss and color are analyzed. Experiments were performed on laboratory and production scale corotating twin screw extruders using different screw configurations. Decision trees are developed in order to analyze the process and to determine the essential influencing factors on the formation of the degree of gloss. For further analysis of the process and to enable optimal up-scale from laboratory to production scale analytic equations are evolved by using symbolic regression based on heuristic optimization algorithms.

Original language	English
Title of host publication	Proceedings of the Europe/Africa Conference Dresden 2017 - Polymer Processing Society PPS
Editors	Michael Gehde, Udo Wagenknecht, Sven Wiessner, Petra Potschke
Number of pages	6
Volume	2055
ISBN (Electronic)	9780735417830
DOIs	https://doi.org/10.1063/1.5084854
Publication status	Published - 22 Jan 2019

Publication series

Name	AIP Conference Proceedings
Volume	2055
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Fields of science

205 Materials Engineering
205011 Polymer engineering
102009 Computer simulation
102033 Data mining
104018 Polymer chemistry
205012 Polymer processing
104019 Polymer sciences

JKU Focus areas

Digital Transformation

Access to Document

10.1063/1.5084854

Cite this

Pachner, S., & Miethlinger, J. (2019). Smart data analysis for optimized manufacturing of powder coatings on corotating twin screw extruders. In M. Gehde, U. Wagenknecht, S. Wiessner, & P. Potschke (Eds.), Proceedings of the Europe/Africa Conference Dresden 2017 - Polymer Processing Society PPS (Vol. 2055). Article 070010 (AIP Conference Proceedings; Vol. 2055). https://doi.org/10.1063/1.5084854

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title = "Smart data analysis for optimized manufacturing of powder coatings on corotating twin screw extruders",

abstract = "This paper addresses smart data mining techniques for analyzing the processing of selected powder coatings on co-rotating twin screw extruders. The influences of different machinery and process parameters on optical quality criteria such as degree of gloss and color are analyzed. Experiments were performed on laboratory and production scale corotating twin screw extruders using different screw configurations. Decision trees are developed in order to analyze the process and to determine the essential influencing factors on the formation of the degree of gloss. For further analysis of the process and to enable optimal up-scale from laboratory to production scale analytic equations are evolved by using symbolic regression based on heuristic optimization algorithms.",

author = "Sophie Pachner and J{\"u}rgen Miethlinger",

year = "2019",

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doi = "10.1063/1.5084854",

language = "English",

volume = "2055",

series = "AIP Conference Proceedings",

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Pachner, S & Miethlinger, J 2019, Smart data analysis for optimized manufacturing of powder coatings on corotating twin screw extruders. in M Gehde, U Wagenknecht, S Wiessner & P Potschke (eds), Proceedings of the Europe/Africa Conference Dresden 2017 - Polymer Processing Society PPS. vol. 2055, 070010, AIP Conference Proceedings, vol. 2055. https://doi.org/10.1063/1.5084854

Smart data analysis for optimized manufacturing of powder coatings on corotating twin screw extruders. / Pachner, Sophie; Miethlinger, Jürgen.
Proceedings of the Europe/Africa Conference Dresden 2017 - Polymer Processing Society PPS. ed. / Michael Gehde; Udo Wagenknecht; Sven Wiessner; Petra Potschke. Vol. 2055 2019. 070010 (AIP Conference Proceedings; Vol. 2055).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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AU - Miethlinger, Jürgen

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N2 - This paper addresses smart data mining techniques for analyzing the processing of selected powder coatings on co-rotating twin screw extruders. The influences of different machinery and process parameters on optical quality criteria such as degree of gloss and color are analyzed. Experiments were performed on laboratory and production scale corotating twin screw extruders using different screw configurations. Decision trees are developed in order to analyze the process and to determine the essential influencing factors on the formation of the degree of gloss. For further analysis of the process and to enable optimal up-scale from laboratory to production scale analytic equations are evolved by using symbolic regression based on heuristic optimization algorithms.

AB - This paper addresses smart data mining techniques for analyzing the processing of selected powder coatings on co-rotating twin screw extruders. The influences of different machinery and process parameters on optical quality criteria such as degree of gloss and color are analyzed. Experiments were performed on laboratory and production scale corotating twin screw extruders using different screw configurations. Decision trees are developed in order to analyze the process and to determine the essential influencing factors on the formation of the degree of gloss. For further analysis of the process and to enable optimal up-scale from laboratory to production scale analytic equations are evolved by using symbolic regression based on heuristic optimization algorithms.

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M3 - Conference proceedings

VL - 2055

T3 - AIP Conference Proceedings

BT - Proceedings of the Europe/Africa Conference Dresden 2017 - Polymer Processing Society PPS

A2 - Gehde, Michael

A2 - Wagenknecht, Udo

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ER -

Smart data analysis for optimized manufacturing of powder coatings on corotating twin screw extruders

Abstract

Publication series

UN SDGs

Fields of science

JKU Focus areas

Access to Document

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Cite this