Manufacturing Cycle Time Optimization for Inkjet-Printed Electronics

Inkjet-printed electronics has attracted considerable attention for low-cost mass production. High-density inkjet-printed designs can benefit from printing and drying in batches to avoid defects due to undesired ink redistribution and ink merging. The state-of-the-art approach decomposes the design into small objects, assigns the objects to different layers to be printed in different iterations, and minimizes the number of layers to reduce the number of iterations. However, it overlooks the differences in the printing and drying time between different layers and thus cannot properly model the impact of different layer assignment solutions on the manufacturing cycle time. In this work, we propose a row-based printing model that simulates the inkjet-printing mechanism and an integral Gaussian drying model that evaluates the local evaporation rate to approximate the printing and drying process of inkjet-printed manufacturing. Based on these models, we propose a mixed-integer-linear programming (MILP) method called the manufacturing model to minimize the manufacturing cycle time and avoid defects by optimally assigning objects to different iterations to be printed and dried in batches. Experimental results confirm that, compared with the preliminary work, manufacturing using our optimized solutions required up to 42.7% less time.

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Publication Details

Journal
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Published
2024-08-05
DOI
https://doi.org/10.1109/tcad.2024.3438688
Primary Topic
Manufacturing Process and Optimization
Type
article
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article

Manufacturing Cycle Time Optimization for Inkjet-Printed Electronics

Bernhard Wolfrum, Peng Hu, Ulf Schlichtmann, Meng Lian et al.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Manufacturing Process and Optimization
article

Manufacturing Cycle Time Optimization for Inkjet-Printed Electronics

Bernhard Wolfrum, Peng Hu, Ulf Schlichtmann, Meng Lian, Yushen Zhang, Tsun‐Ming Tseng, Mengchu Li
article en

Abstract

Inkjet-printed electronics has attracted considerable attention for low-cost mass production. High-density inkjet-printed designs can benefit from printing and drying in batches to avoid defects due to undesired ink redistribution and ink merging. The state-of-the-art approach decomposes the design into small objects, assigns the objects to different layers to be printed in different iterations, and minimizes the number of layers to reduce the number of iterations. However, it overlooks the differences in the printing and drying time between different layers and thus cannot properly model the impact of different layer assignment solutions on the manufacturing cycle time. In this work, we propose a row-based printing model that simulates the inkjet-printing mechanism and an integral Gaussian drying model that evaluates the local evaporation rate to approximate the printing and drying process of inkjet-printed manufacturing. Based on these models, we propose a mixed-integer-linear programming (MILP) method called the manufacturing model to minimize the manufacturing cycle time and avoid defects by optimally assigning objects to different iterations to be printed and dried in batches. Experimental results confirm that, compared with the preliminary work, manufacturing using our optimized solutions required up to 42.7% less time.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsVol. 44(2)
Technical University of Munich (DE)
Openalex Percentile: Top 83%
Manufacturing Process and Optimization
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