Quality Control of Electro-Discharge Texturing of Rolls Through Six Sigma

This article presents the implementation of the Six Sigma methodology in the electro-discharge texturing process of cold mill work rolls. The final surface quality of sheet metal must meet the specific demands of car body part producers, which require a specific surface texture described by surface microgeometry parameters: the average roughness and the peak density. The requirements for the surface microgeometry of sheet metal are mainly related to improving the formability and adhesion of the paint in the body painting process. These microgeometry parameters can be controlled by the texture of work rolls: this texture is transferred onto the sheet metal surface. The electro-discharge texturing process allows for control of the average roughness and peak density according to individual customer specifications. In this study, a model is proposed to predict the average roughness based on the input parameters of the electro-discharge texturing process: current, voltage, and time. Compared to previous models, this model includes more input parameters. The process suitability was analyzed using control charts, capability indices, and Z scores. The modified weighted product method was used to create a purpose function describing the relationships between the input and output quality parameters. Based on the agreement of the target quality characteristics and the calculated values according to the models obtained, an algorithm to control the texturing process of the work rolls was designed. The proposed model was also validated on results published by other authors and demonstrated good agreement. This study should contribute to the philosophy of continuously improving the surface quality of cold-rolled sheet metal.

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Publication Details

Journal
Processes
Published
2025-02-07
DOI
https://doi.org/10.3390/pr13020450
Citations
4
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
2.92

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article

Quality Control of Electro-Discharge Texturing of Rolls Through Six Sigma

Emil Evin, Miroslav Tomáš, Vladimír Kokarda
4 citations
Processes
Advanced Machining and Optimization Techniques
2.92
article

Quality Control of Electro-Discharge Texturing of Rolls Through Six Sigma

Emil Evin, Miroslav Tomáš, Vladimír Kokarda
article en
4 citations

Abstract

This article presents the implementation of the Six Sigma methodology in the electro-discharge texturing process of cold mill work rolls. The final surface quality of sheet metal must meet the specific demands of car body part producers, which require a specific surface texture described by surface microgeometry parameters: the average roughness and the peak density. The requirements for the surface microgeometry of sheet metal are mainly related to improving the formability and adhesion of the paint in the body painting process. These microgeometry parameters can be controlled by the texture of work rolls: this texture is transferred onto the sheet metal surface. The electro-discharge texturing process allows for control of the average roughness and peak density according to individual customer specifications. In this study, a model is proposed to predict the average roughness based on the input parameters of the electro-discharge texturing process: current, voltage, and time. Compared to previous models, this model includes more input parameters. The process suitability was analyzed using control charts, capability indices, and Z scores. The modified weighted product method was used to create a purpose function describing the relationships between the input and output quality parameters. Based on the agreement of the target quality characteristics and the calculated values according to the models obtained, an algorithm to control the texturing process of the work rolls was designed. The proposed model was also validated on results published by other authors and demonstrated good agreement. This study should contribute to the philosophy of continuously improving the surface quality of cold-rolled sheet metal.

ProcessesVol. 13(2)
Technical University of Košice (SK)
Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Openalex Percentile: Top 10%
Advanced Machining and Optimization Techniques
2.92
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