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Alexandra Pekarovicova, Kevin Matthew, Jorge Vicco Mateo, Kholoud Al-Ajlouni and Paul D. Fleming
Center for Printing and Coating Research, Western Michigan University, Kalamazoo, MI
Inks for Li-ion battery anodes were formulated for printing with the rotogravure printing process. Graphite powders with different particle sizes were used as conductive materials along with nanoparticle carbon black fillers. As polymer binders, polyvinylidene fluoride (PVDF) (commercial names Kureha 9100 and Kureha 9300) and polyvinyl pyrrolidone (PVP) were tested. Inks were printed using proprietary gravure engraving. Ink solid content of 30–70 % was examined. At 70 % solids, ink layers were 25–27 μm thick with mass loading of 2.1–2.5 mg/cm². A solids content of 50 % was found the highest that produced a smooth uniform film. Half cells were made using print with 1 000 μm holes or they were bar coated. Half cells were charged and discharged in order to measure irreversible capacity loss (ICL). Inks with mixed binders Kureha/PVP were performing better than sole polymers. Half-cell testing revealed that PVP as a sole binder has not good electrical performance, thus it was mixed with PVDF. The ICL was lower when mixed PVDF/PVP binder was employed in anode ink.
Keywords: printed batteries, ink formulation, half cell, capacity, irreversible capacity loss
JPMTR-2224 Research paper | 173
Real-world evaluation of artificial intelligence-based color corrections for social media content creators
D. Hudson Smith and Erica B. Walker
E-mails: email@example.com; firstname.lastname@example.org
Department of Graphic Communication, Clemson University, 207 Godfrey Hall, Clemson, SC, 29634, United States of America
Brands strive to maintain consistent brand color representation across many digital channels, including social media platforms. This is a challenging goal given the varying real-world circumstances in which brand imagery is produced and shared. The ColorNet neural network tool was developed to automatically target and correct brand colors in imagery without altering non-brand colors. Previously, it was successfully applied to live sports broadcast footage. An open question is whether ColorNet can improve the accuracy, as measured by ΔE00, of brand color representations in still photographs and photographs taken from videos and gifs posted to social media platforms such as Instagram and Twitter. To test this question, we collected a set of posts containing imagery from social media created by Clemson Athletics’ social media accounts. We corrected the representation of Clemson orange in these images using ColorNet. After selecting pixel values corresponding to brand colors in each media piece, we demonstrate that ColorNet improves Clemson brand color accuracy across social media channels and for various media characteristics. Despite our observation that brand color representation varies significantly across media types and lighting conditions, the improvement in color representation from ColorNet was relatively consistent. We also showed that ColorNet has a comparatively minor impact on the color representation of skin tones.
Keywords: Twitter, Instagram, ColorNet, artificial neural networks
JPMTR-2219 Research paper | 174
The health and outlook of printing industry post-Covid-19: the insight into Malaysia printing industry
Muhammad Yusuf Masod and Siti Farhana Zakaria
Program Academic Printing Technology, Digital and Imaging Art, College of Creative Arts, Universiti Teknologi MARA (UiTM), 42300 Puncak Alam, Selangor
While it is widely assumed that the printing industry is in a state of declining demand, or “sunsetting” worldwide, our study suggests that the printing industry in Malaysia shows a stabilizing trend. Print service providers (PSPs) diversify and exploit the trend for digitization and automation and also explore new market segments to stay relevant. The industry’s performance before, during, and after the pandemic from 2019 to Q2 2022 was analyzed. An interview with the top management of PSPs was conducted to obtain views on the impact of Covid-19 on the print business. The findings show macroeconomic factors’ are heavily influenced by growth and suggest that demand will remain resilient going forward, making the outlook for the printing industry optimistic despite domestic and global uncertainty. We also discovered that the pandemic has given PSPs a chance to reevaluate their operations and rebuild using technology to support their businesses in the post-Covid-19.
Keywords: printing industry market, industry performance, developing nations, digitalization, pandemic
JPMTR-2225 Research paper | 175