Epson has unveiled the latest addition to its flagship Monna Lisa series — the Monna Lisa
ML-18000, a cutting-edge digital textile printer built to meet the evolving demands of the
global textile and fashion industries.
The shift toward digital textile printing is gaining momentum, driven by the need for agile
production, reduced environmental impact, and the ability to produce vibrant, detailed
designs across diverse fabrics and applications. The ML-18000 has been developed in direct
response to these market demands, setting a new benchmark for high-volume production
environments.
At the core of the ML-18000 lies Epson’s powerful PrecisionCore Micro TFP technology, with
18 printheads delivering ultra-fast production speeds of up to 252 square meters per hour in
2-pass mode (600 x 600 dpi). Its double black ink configuration enhances black density,
enabling deeper, richer tones at high speeds—making it ideal for dark and monochrome
designs commonly used in fashion, home décor, and soft signage. Compared to the ML-
16000, it uses a higher black ink ratio for improved optical density and greater costefficiency.
The ML-18000 features an Integrated Water Recycling Unit. This intelligent system filters
and reuses water used in the belt-cleaning process, helping reduce overall water
consumption. A built-in sensor monitors water contamination levels to ensure optimal
recycling performance and compliance with local wastewater discharge regulations. This
feature significantly lowers the printer’s environmental footprint, making it a smart choice for
eco-conscious production facilities.
The ML-18000 uses Epson Genesta Reactive Inks, which are Eco Passport certified and
GOTS-approved by ECOCERT. With Epson Cloud Solution PORT, users can remotely
monitor printer performance from a PC or mobile device. This cloud-based platform provides
real-time insights into printer status and production metrics, allowing users to maximize
uptime. It also enables Epson’s support teams to provide remote diagnostics and
troubleshooting, reducing response times and minimizing workflow disruption.
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