Home Physical Sciences Simulations of lateral stress variations in a flexographic print nip
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Simulations of lateral stress variations in a flexographic print nip

  • Cecilia Rydefalk ORCID logo EMAIL logo , Anton Hagman ORCID logo , Artem Kulachenko ORCID logo and Sofia Thorman ORCID logo
Published/Copyright: December 3, 2025
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Abstract

Contact printing, calendaring, and coating of packaging paperboard are standard industry processes that utilize rolling nips. The pressure pulse, maximum pressure, and duration have been extensively studied regarding its effect on the substrate and how it can be changed and controlled to achieve the desired effect. The present study considers lateral variations of the stress in a rolling process. A parametric study of the surface roughness, substrate stiffness, cylinder cover stiffness, and changed nip engagement or impression is performed using Finite Element Modelling. The simulation shows that a smooth surface does not completely negate the effects of the structural thickness. The impression has the most significant impact, and the combination of roughness and non-linear material means that the pressure distribution can change drastically, not just the maximum pressure pulse. Additionally, different combinations of settings can achieve the same mean pressure pulse but have very different stress distributions. E.g. changing the surface roughness will have a significant effect on the pressure variations, but the effect on the pressure profile shape is negligible.

1 Introduction

Rolling nips are a standard part of several industry processes, from material forming to fluid film application on top of a substrate. For paper, paperboard, and similar materials, processes such as calendering and more than one print method utilize processes with rolling nips. The stress state in the nip is an essential feature of the process, and the pulse shape, magnitude, and duration in rolling contact have been extensively studied. Starting from Hertz’s theory of rigid cylinders in contact, the models and experiments add complexities, including elastomer cylinder covers and substrates or liquids in the nip.

The simplest case is to simulate an elastic or viscoelastic strip between rigid rollers (Bentall and Johnson 1968; Margetson 1972; Kerekes 1976; Eckstein and Hagedorn 2014; Yang 2021). From there, the model can be extended to rollers covered with a compliant material (Bentall and Johnson 1968; Oden and Lin 1986; Wang and Knothe 1993; Hinge and Maniatty 1998). The thickness of the cover is an important parameter regarding the pressure pulse, and a thicker compliant layer will widen the nip length with the impression (Hannah 1951; Xue et al. 1994; Carvalho 2003; Austrell and Olsson 2013; Abdel Rahman et al. 2014; Ceccato et al. 2019). The pressure pulse was shown to become asymmetric and velocity-dependent by including viscoelasticity (Hunter 1961; Dobbels and Mewis 1978; Oden and Lin 1986; Wang and Knothe 1993; Carvalho 2003; Litvinov and Farnood 2010; Abdel Rahman et al. 2014). When simulating an offset print press, Wiberg even included a multi-layered roll cover (Wiberg 1999). The different compliant layers contribute to the pulse shape. Since several application processes use a rolling nip to apply fluids to a substrate, nip pressure studies that focus on the hydrodynamic pressure on the fluid in the print- or coating nip are also common (Dobbels and Mewis 1978; Coyle 1988; Xue et al. 1994; Lim et al. 1996; Bohan et al. 1997; Carvalho 2003; Gostling et al. 2003; Johnson 2003). However, it has also been shown that the pressure pulse is not altered significantly when measuring a pressure pulse with and without fluid in the nip (Bohan et al. 1997).

Most of the studies have been theoretical or numerical simulations due to the difficulties of measuring in a rolling nip in an industry process. However, lab printers and lab coaters have been augmented with pressure sensors to validate the simulations (竹原 1965; Keller 1992; Zang et al. 1991; Bohan et al. 1997; Luong and Lindem 1997; Yoneyama et al. 2000; Ascanio and Ruiz 2006; Hedström 2023). One experimental study put a pressure sensor in a full-scale printing press (Johnson et al. 2004). However, corrections were required to account for the pressure sensor size compared to the nip length. The authors note that “the modelling should be regarded as a simulation of the pressure measured by the sensor, rather than the pressure experienced by substrate or ink in the nip”.

While a mean pressure pulse provides valuable information regarding the stress state in the nip, the substrate, in the case of paper and paperboard, is not smooth. The authors recently considered the stress variations in pure out-of-plane compression and what information can be hidden in the mean compression curve (Rydefalk et al. 2024). In the case of a rolling nip, the rolling compression of the substrate and the influence of the compliant print form covering the print cylinder are added difficulties.

In all the mentioned cases, the pressure in the nip is presented as a 2D pulse, and the lateral variations in the nip are given less consideration. However, Wiberg looked at the edge effects in an offset printer model, but the sheet in the simulation was smooth (Wiberg 1999). Luong and Lindem used pressure-sensitive film in a static calendar nip and could, from there, obtain a pressure distribution but use it to calculate a mean pressure pulse (Luong and Lindem 1997). The stress distribution is not further considered, and the pressure-sensitive film is used to find the peak nip pressure as a function of line load. Another common packaging material that is often printed with flexography is corrugated board. Corrugated board is built up with a wavy (corrugated) fluting between liner boards. This periodical nature can cause some unique print defects in post-printing. A common defect is print density variations in patterns that follow the fluting, which is called striping. Striping is due to uneven pressure distribution (Holmvall 2007). However, unlike in paperboard printing, an increase in pressure will easily damage the fluting.

To the authors’ knowledge, the lateral stress variations in paperboard in a rolling nip due to the non-smoothness have not been studied but is of interest due to the results seen for corrugated. The present study aims to investigate the lateral stress variations of a non-smooth substrate in a rolling nip. When using a rolling nip as a thin fluid film applicator on a rough material such as paperboard, the even distribution of pressure is vital. In “Handbook of Print Media: Technologies and Production Methods” it is noted the chapter on flexographic printing that “[Flexography] require only a slight contact pressure to enable reliable ink transfer from printing plate to substrate. This contact pressure must, however, be exerted as evenly as possible on all printing locations along the contact area and during the pass of the entire print length” (Kipphan 2014). It is safe to assume that the structural variation of the substrate and the materials involved and the impression will result in lateral stress variations on the sheet thereby not achieving the desired even contact pressure.

2 Materials and methods

A simulation is well suited to vary the process parameters, cylinder sleeve stiffness, substrate stiffness structural variations in the sheet, and the impression. The simulation allows us to control the sheet’s surface roughness, use the same roughness for all cases, or vary the roughness with all other fixed parameters. The model is built to resemble a laboratory, flexographic printer, printing on liquid packaging paperboard. Materials, structural variations, etc., are chosen within this context. However, there are other rolling processes where we believe the principles of lateral variations are also of interest.

2.1 Paperboard: reference paperboard and model

The paperboard model was built using the same method and reference paperboard as in a previous work by the authors (Rydefalk et al. 2024). The structural thickness and surface roughness of a commercial liquid packaging paperboard were measured to create a structured sheet in the FE model, shown in Figure 1. Since the measured surface was smaller than the sheet in the print press model, the measurement data was mirrored to create a larger surface. The structural data was then mapped over the same grid size as the sheet resolution in the FE model. The top and bottom nodes in the model were then moved in the Z-direction according to the measurement data, and the middle layer nodes were redistributed between the new positions, as illustrated in Figure 2.

Figure 1: 
Surface roughness and structural thickness from measurements.
Figure 1:

Surface roughness and structural thickness from measurements.

Figure 2: 
Node distribution in ZD in the paperboard model.
Figure 2:

Node distribution in ZD in the paperboard model.

The material model used was MAT_ORTHOTROPIC_ELASTIC, an orthotropic elastic model already implemented in LS-Dyna. The model allowed us to model the anisotropy of the paperboard without the high computational cost of a more complex model. The input is shown in Table 1.

Table 1:

Material model properties MAT_ORTHOTROPIC_ELASTIC.

MD [MPa](MD/CD) CD [MPa](CD/ZD) ZD [MPa(ZD/MD)
Elastic modulus 6,070 2,303 23
Poisson 0.21 0 0

All the simulations are explicit and performed with solid elements. The hexahedra elements are LS-DYNA’s ELFORM = −2 which are fully integrated S/R solid elements intended for elements with poor aspect ratio. The elements in the paperboard are 0.5 x 0.5 x 0.25 mm in two layers.

2.2 The print press model

An FE model with the dimensions of an IGT F1 laboratory print press was built in LS-PrePost and ran in LS-Dyna, as shown in Figure 3. It consists of a rigid substrate carrier and a rotation print cylinder. The core of the print cylinder can be considered rigid and is covered with a hyperelastic print form. The print cylinder is 50 mm wide and has a radius of 92 mm. Some simplifications have been made to the actual case. The print form in the model is 3 mm thick and consists of a single material. In the actual print press, the print plate used for paperboard is usually 1.14 mm with a Shore A above 70 and would have a soft foam backing of 0.5 mm. To compensate for the effect of the soft backing, but without having to include a second material, the print form in the model is slightly thicker than the combined print plate and backing and has a Shore A stiffness of 50. The material model of the print plate is hyperelastic, MAT_MOONEY-RIVLIN_RUBBER.

Figure 3: 
Illustration of the print press and the initial movement of the substrate carrier.
Figure 3:

Illustration of the print press and the initial movement of the substrate carrier.

The elements on the print plate have the same xy-resolution as the paperboard model, 0.5 x 0.5 mm. Compensation has not been made for the cylindrical shape of the print plate, and therefore. The simulation starts with aligned nodes between the substrate and the print plate in the centre of the nip. Due to the curvature of the print plate, the alignment between nodes on the substrate and print plate is not maintained during the simulation.

The initial steps of the simulation are shown in Figure 3. The sample carrier is raised 120 µm and is held in position for the duration of the simulation. When the desired impression is achieved, the cylinder starts to rotate and drives the sheet through the nip at a 300 mm/min velocity. The rotation of the cylinder drives the paperboard through the nip, both in the lab press and the FE model. The model has no friction between the paperboard and substrate carrier.

2.3 The simulation cases

Four different parameters have been altered in the present study: the surface roughness, the paperboard ZD stiffness, the impression, and the print form stiffness, as is presented in Table 2. The height maps of the filtered surfaces are presented in Figure 4. The band-passed (BP) surfaces will be referred to by the wavelength not filtered out. All cases have the same bottom surface, also shown in Figure 4, and are run with the same print speed of 300 m/min.

Table 2:

The simulation cases.

Cases Top surface Paperboard stiffness Impression Print form stiffness
Ref ref 23 MPa 120 µm Shore A 50
BP 0 05 0–0.5 mm 23 MPa 120 µm Shore A 50
BP 05 1 0.5–1 mm 23 MPa 120 µm Shore A 50
BP 1 4 1–4 mm 23 MPa 120 µm Shore A 50
Ez20 ref 20 MPa 120 µm Shore A 50
Ez25 ref 25 MPa 120 µm Shore A 50
Impr130 ref 23 MPa 130 µm Shore A 50
Impr140 ref 23 MPa 140 µm Shore A 50
ShoreA60 ref 23 MPa 120 µm Shore A 60
ShoreA70 ref 23 MPa 120 µm Shore A 70
Figure 4: 
Height maps [µm] of the band passed surfaces.
Figure 4:

Height maps [µm] of the band passed surfaces.

3 Results and discussion

The mean pressure pulses are shown in Figure 5. The maximum pressure ranges between approximately 1–2 MPa, comparable to the pressure Johnson measured in a flexographic print press (Johnson et al. 2004). The most significant impact on the simulated pulse shape is reducing the gap opening (i.e., increasing the impression), which increases both the maximum pressure and the nip length, as seen in Figure 5. Some combinations of process parameters also generate mean pulses that are similar to each other: ShoreA70 and Imprint 130 µm, ShoreA60, and Ez = 25, and the cases with structural variations almost wholly coincide with the reference case. Apart from the imprint cases, the difference between the reference case and the variants appears mainly in the maximum pressure in Figure 5.

Figure 5: 
The mean pressure pulse during rolling for all the different cases, more than a nip-length from the start position.
Figure 5:

The mean pressure pulse during rolling for all the different cases, more than a nip-length from the start position.

In Figure 6, the maximum z-stress achieved in each top-side element is presented as a map. The max stress is not extracted at a single point in time, but when each element achieves its max passing through the nip centre. In Figure 8, the stress data from Figure 6 is presented as the contour of the max stress histogram. The data in Figure 8 is extracted from a max stress histogram, but for visual clarity, data in Figure 7 is presented with a larger bin size than the one used for Figure 8. The two figures show differences in the stress distribution between the reference case and the variants beyond the maximum of the mean pressure pulse. It is also apparent from Figure 6 that the structure of the sheet can be seen in the results, regardless of the parameters changed.

Figure 6: 
Maximum Z-stress achieved in top-side each element.
Figure 6:

Maximum Z-stress achieved in top-side each element.

Figure 7: 
Stress distribution on the top of the sheet. Contour of the histograms.
Figure 7:

Stress distribution on the top of the sheet. Contour of the histograms.

Figure 8: 
Comparisons of the characteristics of the stress distribution in Figure 7. (A) Percent with stress above FWMH; (B) FWHM for all variants; (C) area with stress lower than FWHM; (D) most likely stress.
Figure 8:

Comparisons of the characteristics of the stress distribution in Figure 7. (A) Percent with stress above FWMH; (B) FWHM for all variants; (C) area with stress lower than FWHM; (D) most likely stress.

To put numbers on the data in Figure 7, we will consider the full-width half-max (FWHM) of the peak in the histogram. The FWHM is presented in Figure 8B, together with the stress at the peak of the histogram (the most likely stress) in Figure 8D. The tail-ends of the histogram are shown as the percentage of the area with either higher (Figure 8A) or lower (Figure 8C) stress than within the FWHM. Higher or lower stress ranges pose different potential problems. E.g., in printing, too high stress can lead to lighter peaks on the printed surface due to ink being pressed away. On the low end of the scale, there is the risk of insufficient contact connected to uncovered areas. Another option to consider the FWHM could be to set a fixed threshold. However, we are considering the changes relative to the reference sheet and not providing a handbook number. Secondly, a threshold could be based on the FWHM of the reference sheet. Such a threshold would provide little nuance to the cases that shift the histogram peak significantly, e.g., changing the impression.

The limitations of the present study are that the model uses an orthotropic elastic material model for the paperboard, and the resolution of the sheet is coarse. Increasing the resolution or implementing a more complex material model is more computationally expensive but might garner further insights. For example, a viscoelastic material model could show what would happen if the speed was increased. Additionally, the design of the print press is based on the lab press, with a flat plate underneath the sheet instead of another cylinder. Another print press design would change the load case.

3.1 Varying the surface roughness

The surface roughness was changed through band-passing the measurement data, but the bottom surface is the same in all simulations.

The fine-scale surface roughness (0–1 mm) has a larger area within the FWHM stress span, as seen in Figure 9. 80–83 % of the area falls within the FWHM stress span, compared to 68 % for the reference case. The excluded (black) zones on the fine-scaled, filtered cases largely overlap with the excluded regions in the reference case but are much smaller. In the larger wavelength span (1–4 mm), the covered area approaches the same percentage as the reference case, 71 % compared to 68 %. The excluded areas are even more similar to the reference case than to the fine-scale cases.

Figure 9: 
Area within FWHM: White. Area either above or below FWHM: black.
Figure 9:

Area within FWHM: White. Area either above or below FWHM: black.

The fine-scaled pattern in 0–1 mm wavelengths is evenly distributed over the surface, as shown in Figure 4. The excluded areas do not correspond to any apparent structures on the surface. Instead, they originate from the roughness on the backside of the sheet. As can be noted in Figure 1, the pattern of the local thickness and the surface roughness are similar. Therefore, a large hill on the top is usually mirrored by a larger hill on the back, which is valid for craters.

The “most likely” stress in the band-passed cases is very close to the reference case, as seen in Figure 8D. The FWHM is, however, broader (Figure 8B). The areas with higher or lower stresses are smaller for the smaller wavelength cases of band-passing than the reference. However, in 1–4 mm, there are larger areas above FWMH than in the reference case.

The height map in Figure 10 shows the surface structure within the areas receiving a higher stress than FWHM. The areas coincide with the areas in the reference case, but the height map demonstrates that the surface roughness amplitude is smaller than in the reference case. In the BP 1–4 mm case, the areas are even larger, although they still obviously have a smaller amplitude, similar to those below the FWHM stress in Figure 11. They appear in similar positions to those in the reference case. However, there is a finer pattern in the low-stress areas in BP 0–0.05 mm compared to 0.05–1 mm and 1–4 mm. The high-stress areas had a similar trend, but it is more visible in the low-stress areas. The areas are more scattered in the smaller wavelengths and fewer and larger in 1–4 mm.

Figure 10: 
Heightmap [µm] areas above FWMH-stress.
Figure 10:

Heightmap [µm] areas above FWMH-stress.

Figure 11: 
Heightmap [µm] areas with stress below FWHM.
Figure 11:

Heightmap [µm] areas with stress below FWHM.

The results show that the local thickness significantly contributes to the pressure distribution on the surface. Even the smoothest surfaces show patterns originating from the roughness of the bottom surface. This implies that making only one of the surfaces smoother is not enough for an evenly distributed pressure. The wavelength of the bottom side unevenness, compared to the nip length and the size of the top side roughness, will also determine if hills or craters are the most detrimental to achieving even pressure. The effect of local thickness should also explain the similar pressure pulses in Figure 5.

It should be noted that the roughness amplitude of the filtered surfaces has not been adjusted. Therefore, the small wavelengths also have a small roughness amplitude. In another study by the authors, we showed that at a fixed mean compression stress, the stress variation was linear to the surface roughness amplitude but sorted with the wavelengths (Rydefalk et al. 2024). Additionally, we saw that the roughness placement on the top relative to the bottom greatly impacted the distribution. The study concerned compression between the rigid platens. It might be interesting to see the effect of roughness placement when there is the addition of directionality and shear due to the rolling, as well as the compliant nature of the print plate.

3.2 Varying the paperboard stiffness

The MD- and CD-stiffnesses are kept the same, and the only parameter that is varied is the ZD-stiffness. The reference case has a ZD stiffness of 23 MPa, and the variant cases have 20 and 25 MPa, respectively.

The sheet influence of the sheet structure is visible in all three cases, regardless of the compliance of the substrate. Both the FWHM stress range and the most likely stress sorts with the paperboard stiffness for the three cases, as seen in Figure 8B and D. The same goes for the pressure pulses in Figure 5. The area within FWHM is similar in size and falls between 68 and 72 % of the surface, as seen in Figure 9. Both the stiffer and the softer substrate have an increased area within the FWHM stress range, but it should be noted that FWHM is smaller for the softer substrate, i.e., the stress variations are smaller over the surface than for the stiffer case. The area with stress above FWHM is similar for all three cases, as seen in Figures 8A and 10. The redistribution between the three cases mainly takes place in the range of FWHM and the lower tail of the histogram, in Figures 7, 8, and 11.

The narrower FWHM span and larger surface area within the FWHM stress of the softer substrate mean a more even pressure distribution compared to the other two cases. However, the more compliant case has a larger tail on the stress below FWHM, and poor contact in craters could be the outcome. However, substrate compliance should be compared to print plate compliance, and their relative stiffnesses are probably more important than the absolute stiffness of either one.

3.3 Varying the print-form stiffness

The print plate stiffness is increased from Shore A 50 in the reference case to 60 and 70.

The “most likely” stress increases with increasing print plate stiffness, as seen in Figure 8D. Unlike when comparing the substrate stiffnesses the same trend is not seen in Figure 8B, which shows the FWHM. Although it is higher for the highest print plate stiffness than the reference, the Shore A 60 case has the same FWHM. The percentage range of the print plate stiffness cases is about the same size as that of the substrate stiffness cases. Figure 9 show that, the area ranges from 64–68 % for the print plate stiffness cases.

The tail of the distribution above FWHM is increased for the higher stiffness print plates, as seen in Figures 8A and 10. However, it does not sort with increasing stiffness. Instead, the case with Shore A 60 has the largest area with higher pressure. On the other hand, it also has the smallest area with stresses below FWHM, seen in Figure 8C, comparable to the Ez = 20 MPa-case. However, Figure 11 shows that there are more small “low-stress islands” in Ez = 20 MPa than in Shore A 60.

A softer print plate compared to the substrate can conform to larger scale variations (which is why a corrugated post-print flexo uses a thick, soft print plate). However, the conformability is limited by the cylinder’s geometry and the compliant layer’s thickness. By using a print plate that is harder than the substrate, it is instead the substrate that will deform and flatten out large-scale waviness. However, as seen in the present results, it is not entirely straightforward.

3.4 Varying the impression

The literature states that this is the most significant change to the pressure pulse comes from changing the impression. This can also be seen in the mean pulses in this study in Figure 5.

By increasing the impression, the “most likely” stress is increased with increasing impression due to the increased deformation, as seen in Figure 8D. Additionally, the FWHM in Figure 8B decreases with increasing impression. However, the percentage of the area within the FWHM stress range also increases, from 68 % in the reference case to 64 % and 55 %, respectively, for the increasing impressions. This implies that a larger portion of the surface has a stress either above or below the FWHM span. The shift is, however, not consistent with impression. The first increase in impression to 130 µm decreases the percentage of elements below FWHM, as seen in Figure 8C. The percentage is comparable to the filtered cases, but the islands with low pressure in Figure 11 take on different shapes due to the different surfaces. An even larger impression, to 140 µm, has instead the same area below FWHM as the reference case, as seen in Figure 8C and similarly distributed as seen in Figure 11. For both increases in impression, the percentage of elements above the FWHM range increases, as shown in Figure 8A. They increase to a similar level, but the distribution of the high-stress regions shows a marked difference in Figure 10. The fields have different shapes and occur at different ends of the substrate.

In the cases with increased impression, the effect of the non-linearities from the substrate structure and print plate material becomes even more pronounced than in the previously discussed cases. Despite the substrate’s linear elasticity in the Z-direction, the purely compressive response is initially non-linear due to the surface roughness (Hagman and Rydefalk 2024; Rydefalk et al. 2024). The hyperelastic material model used for the print plate also has a non-linear stiffness. Combining these parameters makes the deformation and stress distribution more complex than merely linearly increasing with increasing stiffness.

Changing the impression would have an even larger effect if more layers and more complex material behaviour were involved in the model. E.g. if the progressive stiffness of the paperboard was modelled, or the compressible foam backing was added.

It should also be noted that at reference impression, the sheet is fully in contact; otherwise, it would not move through the nip. A model that includes tension in MD and a different mechanism for moving the sheet could make it possible to consider lower impressions.

3.5 Same pulse, different distribution

Since the most common presentation of the nip pressure is in the form of a mean pulse, it is interesting to note that the several overlapping mean pulses in Figure 5 are resulting from different combinations of parameters.

The most closely similar mean pulses are the reference case and band-passed cases. These have already been discussed in the section “Varying the surface roughness”. Suffice it to say that the structural thickness/bottom side roughness plays a large enough part that the mean pulse becomes the same while the stress distribution on the surface differs significantly.

The stiffnesses in the substrate and the print plate achieve a similar mean pressure pulse when increasing or decreasing one in comparison to the other. The present simulation found it for Ez = 25 MPa and Shore A 60. In a 1D model, it does not matter if the plate or board is stiffer or softer; their combined stiffnesses will be the same. In the present case, we can see that differences are seen despite their similar mean pulse, especially in the size and shape of the fields with stress above the FWHM range in Figure 10. The 3D case shows that the geometry affects the distribution of stress.

Increasing the impression to 130 µm or the Shore A stiffness of the print plate to 70 achieves another similar pulse pair. Differences are noticeable in the maps in Figures 10 and 11, both in size (also seen in Figure 8A and C) and in the distribution pattern on the surface. The areas with stress above the FWHM range are extended with a higher impression. The areas with stress below the FWMH range, while larger for the increased impression, have less mid-scale scatter compared to the higher plate stiffness. The impression and plate stiffness trigger different mechanisms. The impression shifts along the non-linear response between the plate and substrate, while the increased plate stiffness changes the non-linear response. The effect has a similar mean but a different distribution.

4 Conclusions

An even pressure is vital to achieve a good print (Kipphan 2014). However, the simulations with a structured substrate show that regardless of the changes in process parameters, the lateral variations remain. The stress distribution’s largest effect comes from changing the roughness or increasing the impression. Although reducing the surface roughness on the top surface helps to achieve larger areas with a more even pressure, the effect of the bottom side surface roughness will show through. I.e. a smoother top surface will still show an uneven pressure distribution due to variations in local thickness.

The most straightforward way of improving the print in a print press is increasing the impression. Despite the simplified case in the present model, with fewer materials and linear stiffness in the substrate, the rough surface and hyperelastic plate are enough to make the case complex and the response non-linear when increasing the impression. With an increase in impression, the high-pressure areas shifted both in size and location.

The mean pressure pulse and the most likely stress follow the stiffness increase of either the substrate or the print plate. It is even possible to find different combinations with overlapping pressure pulses. The stress distribution, however, does not follow the same pattern. This implies that relative stiffnesses is important and that two paperboards with different stiffness will achieve different results with the same print plate.


Corresponding author: Cecilia Rydefalk, Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden; and Department of Sustainable materials & Packaging, RISE Research Institutes of Sweden, Stockholm, Sweden, E-mail:

Acknowledgments

The present work was carried out in collaboration with the Bioeconomy Research Programme in Packaging Paperboard and the members of the consortium are acknowledged for their support of the work.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission. The authors contributions according to CRediT (Contribution Roles Taxonomy). Rydefalk: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Vizualization, Writing – original draft, Writing – review & editing. Hagman: Conceptualization, Formal Analysis, Supervision, Writing – Review & Editing. Kulachenko: Conceptualization, Formal Analysis, Resources, Supervision, Writing – Review & Editing. Thorman: Conceptualization, Formal Analysis, Funding Acquisition, Project Administration, Supervision, Writing – Review & Editing.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors states no conflict of interest.

  6. Research funding: This work has been granted by STFIs Intressentförening (STFIs Association of Interested Parties).

  7. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2025-08-25
Accepted: 2025-11-20
Published Online: 2025-12-03

© 2025 the author(s), published by De Gruyter, Berlin/Boston

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