Condition monitoring and prediction of solution quality during a copper electroplating process

Gerardo Emanuel Granados (), Loïc Lacroix and Kamal Medjaher ()
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Gerardo Emanuel Granados: INP-ENIT
Loïc Lacroix: INP-ENIT
Kamal Medjaher: INP-ENIT

Journal of Intelligent Manufacturing, 2020, vol. 31, issue 2, No 3, 285-300

Abstract: Abstract This paper presents a method for the monitoring and prediction of the electrolyte quality during the process of copper electroplating. This is important in industry, as any deviation in the solution quality leads to a deterioration of the quality of the processed products. The aim of the study is to identify some physical parameters that are representative of the quality variation during the deposition process. These parameters are then tracked online to continuously assess the solution quality and predict its remaining useful life. To do this, the process behavior is first characterized to derive a nominal model and to identify the physical parameters that can be used to describe the aging variation in the electrolyte quality. The aging model is then explored to assess the current level of the solution quality and to predict its remaining useful life. The proposed method is verified using real data acquired from a specifically designed test bench. The obtained results reveal the efficiency of the method.

Keywords: Condition monitoring; Fault prognostics; Prognostics and health management (PHM); Remaining useful life; Copper electroplating process (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-018-1445-4

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