Scalable transparent metal mesh heater on flexible substrate prepared using reverse-offset printed seed layer

We demonstrate a manufacturing process for a transparent metal mesh heater using reverse offset printing (ROP), metal lift-off and Ni electroplating. All used methods are scalable and compatible with high-throughput roll-to-roll (R2R) fabrication. First, a Cu-mesh seed layer is produced by ROP printing of a ~ 70 nm thick semi-dry poly 4-vinylphenol (PVPh) ink on polyethylene terephthalate (PET) substrate and followed by metal evaporation and a lift-off process using the patterned PVPh as a mask. After this, the thickness of the relatively thin Cu-mesh (40 nm) is increased using a Ni-electroplating process to achieve the desired resistivity (< 3 Ω/□) and metal thickness (1–5 μm) of the heater. Optical transparency of the metal heater is achieved by suitable design and a low linewidth (2 μm) of the ROP/lift-off patterned seed Cu-mesh. The performance of the transparent heater is evaluated e.g. by using a figure of merit (FoM) value and compared against indium tin oxide (ITO) based heaters on PET substrate with a sheet resistance of 50 Ω/□. The FoM value is ~400 for 4.5 cm × 4.5 cm size heaters, compared to ~50 for the reference ITO. Four different sized heaters are fabricated and tested with a constant voltage until the temperature of the heater is saturated, yielding >260 °C ∙ cm 2 /W thermal resistance, thus much higher than 68 °C ∙ cm 2 /W obtained for the ITO reference. The measured optical transparency of ~74 % of the metal heater is close to the calculated transparency of 77 %. The transparency of the metal mesh is impacted by the relatively high ~15 % haze, which is probably due to the high surface roughness of Ni. For ITO reference, the transparency and haze are ~85 % and 1 %, respectively. The operation of the metal mesh heater is demonstrated in a defogging test where water vapor was removed from poly(methyl methacrylate) (PMMA) surface within 10 s of activating the heater. The heater uses relative low voltage (2.5 V) resulting in a surface temperature ~ 50 °C. The ROP lift-off process produces superior quality of the Cu-seed layer at low-temperature, enables high transparency, allows the use of complex designs and a variety of substrates. The results indicate that the proposed metal mesh heater is a good candidate for scalable, high-volume manufacturing. We demonstrate a manufacturing process for a transparent metal mesh heater using reverse offset printing (ROP), metal lift-off and Ni electroplating. All used methods are scalable and compatible with high-throughput roll-to-roll (R2R) fabrication. Metal mesh heaters exhibited high optical transparency (~74 %), low sheet resistance (~2.9 Ω/□) and high thermal resistance (>260 °C ∙ cm 2 /W). The calculated FOM value is 401 for the mesh A heater, whereas for the ITO reference it is 48. • Manufacturing process for a transparent metal mesh heater using reverse offset printing (ROP), metal lift-off and Ni electroplating shown. • All used methods are scalable and compatible with high-throughput roll-to-roll (R2R) fabrication. • Optical transparency of the metal heater is achieved by suitable design and a low linewidth (2 μm) of the ROP/lift-off patterned seed Cu-mesh. • The operation of the metal mesh heater is demonstrated in a defogging test where water vapor was removed from poly(methyl methacrylate) (PMMA) surface within 10 s of activating the heater. • Metal mesh heaters exhibited high optical transparency (~74 %), low sheet resistance (~2.9 Ω/□) and high thermal resistance (>260 °C ∙ cm 2 /W). The calculated FOM value is 401 for the mesh A heater, whereas for the ITO reference it is 48. • Rapid response time and effective heating performance of the metal mesh heaters was superior to ITO-heaters.

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Publication Details

Journal
Micro and Nano Engineering
Published
2025-10-01
DOI
https://doi.org/10.1016/j.mne.2025.100323
Citations
1
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
2.48
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article

Scalable transparent metal mesh heater on flexible substrate prepared using reverse-offset printed seed layer

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Micro and Nano Engineering
Neural Networks and Applications
2.48
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Scalable transparent metal mesh heater on flexible substrate prepared using reverse-offset printed seed layer

article en
1 citations

Abstract

We demonstrate a manufacturing process for a transparent metal mesh heater using reverse offset printing (ROP), metal lift-off and Ni electroplating. All used methods are scalable and compatible with high-throughput roll-to-roll (R2R) fabrication. First, a Cu-mesh seed layer is produced by ROP printing of a ~ 70 nm thick semi-dry poly 4-vinylphenol (PVPh) ink on polyethylene terephthalate (PET) substrate and followed by metal evaporation and a lift-off process using the patterned PVPh as a mask. After this, the thickness of the relatively thin Cu-mesh (40 nm) is increased using a Ni-electroplating process to achieve the desired resistivity (< 3 Ω/□) and metal thickness (1–5 μm) of the heater. Optical transparency of the metal heater is achieved by suitable design and a low linewidth (2 μm) of the ROP/lift-off patterned seed Cu-mesh. The performance of the transparent heater is evaluated e.g. by using a figure of merit (FoM) value and compared against indium tin oxide (ITO) based heaters on PET substrate with a sheet resistance of 50 Ω/□. The FoM value is ~400 for 4.5 cm × 4.5 cm size heaters, compared to ~50 for the reference ITO. Four different sized heaters are fabricated and tested with a constant voltage until the temperature of the heater is saturated, yielding >260 °C ∙ cm 2 /W thermal resistance, thus much higher than 68 °C ∙ cm 2 /W obtained for the ITO reference. The measured optical transparency of ~74 % of the metal heater is close to the calculated transparency of 77 %. The transparency of the metal mesh is impacted by the relatively high ~15 % haze, which is probably due to the high surface roughness of Ni. For ITO reference, the transparency and haze are ~85 % and 1 %, respectively. The operation of the metal mesh heater is demonstrated in a defogging test where water vapor was removed from poly(methyl methacrylate) (PMMA) surface within 10 s of activating the heater. The heater uses relative low voltage (2.5 V) resulting in a surface temperature ~ 50 °C. The ROP lift-off process produces superior quality of the Cu-seed layer at low-temperature, enables high transparency, allows the use of complex designs and a variety of substrates. The results indicate that the proposed metal mesh heater is a good candidate for scalable, high-volume manufacturing. We demonstrate a manufacturing process for a transparent metal mesh heater using reverse offset printing (ROP), metal lift-off and Ni electroplating. All used methods are scalable and compatible with high-throughput roll-to-roll (R2R) fabrication. Metal mesh heaters exhibited high optical transparency (~74 %), low sheet resistance (~2.9 Ω/□) and high thermal resistance (>260 °C ∙ cm 2 /W). The calculated FOM value is 401 for the mesh A heater, whereas for the ITO reference it is 48. • Manufacturing process for a transparent metal mesh heater using reverse offset printing (ROP), metal lift-off and Ni electroplating shown. • All used methods are scalable and compatible with high-throughput roll-to-roll (R2R) fabrication. • Optical transparency of the metal heater is achieved by suitable design and a low linewidth (2 μm) of the ROP/lift-off patterned seed Cu-mesh. • The operation of the metal mesh heater is demonstrated in a defogging test where water vapor was removed from poly(methyl methacrylate) (PMMA) surface within 10 s of activating the heater. • Metal mesh heaters exhibited high optical transparency (~74 %), low sheet resistance (~2.9 Ω/□) and high thermal resistance (>260 °C ∙ cm 2 /W). The calculated FOM value is 401 for the mesh A heater, whereas for the ITO reference it is 48. • Rapid response time and effective heating performance of the metal mesh heaters was superior to ITO-heaters.

Micro and Nano EngineeringVol. 29
Tieto (Finland) (FI), VTT Technical Research Centre of Finland (FI)
Openalex Percentile: Top 6%
Neural Networks and Applications
2.48
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