May be the conventional pressing approach. In the conventional R2R NIL pressing procedure, the bending on the roller is predicted by means of mathematical modeling and simulation (FEM). By means of actual experiments, it was confirmed that the standard R2R NIL system has a non-uniform pressure distribution at an 85 level through the pressing method around the speak to region. Furthermore, it was checked that the non-uniformity will not be symmetrical, which means the other errors are engaged. A uniform pressing method was created and implemented to carry out pressing by individual and distributed load. It was confirmed that the stress distribution uniformity of the contact location may be enhanced to a degree of 33 by improving the bending of your roller by way of pressing the backup roller, which can be the core mechanism of this program. Many backup rolls have been utilized to enhance the uniformity from the pressure distribution, which was irregular as a result of other errors from skin, waviness error in the make contact with location and misalignment. The effect of every single backup roller on the stress distribution on the contact area was discovered and analyzed using regression analysis of supervised studying, a machine learning strategy. Applying the outcomes of regression evaluation, the optimum force of each backup roller was discovered. Because of testing by applying the derived worth, it was confirmed that the uniformity in the stress distribution around the speak to location can be enhanced to a level of five . In this research, to use the machine mastering method (regression), the stress distribution worth at the contact location was divided into three sections and averaged. To far more closely measure the stress distribution at the actual contact region, the typical interval required to become divided further. The proposed pressing technique is developed to handle the non-uniformity of your speak to pressure in true time, but in this study, only the uniformity in the static state was studied. In the future, to carry out compensation control inside a dynamic state, these improvements is often used. In spite from the limitations from the approach, it was confirmed that the non-uniformity of your pressing course of action, one of many greatest issues for increased productivity and yield in large-area R2R NIL, might be enhanced by applying the method developed in this study. This method is anticipated to contribute to productivity and yield improvement of the NIL approach.Author Contributions: Conceptualization, project administration, supervision, funding acquisition, writing–review and editing, S.K.; conceptualization, project administration, supervision, validation, writing–review and editing, M.G.L.; formal evaluation, data curation, visualization, investigation, writing–original draft, G.E.K.; data curation, visualization, application, investigation, H.K.; investigation, formal evaluation, validation, K.W.; formal analysis, investigation, Y.K.; validation, resources, S.-H.L.; project administration, validation, methodology, Y.J. All authors have read and agreed for the published version in the manuscript. Funding: This study is primarily based on perform supported by the Ministry of Trade, Business, and Energy (MOTIE, Korea) beneath the Industrial Technology Innovation Programs (No. 20000665, No. N0002310); the National investigation Foundation of Korea (NRF) funded by the Korean government (No. 2021M3H4A3A01050374, No. 2020M3H4A3106319). Institutional evaluation Board Statement: Not applicable.Appl. Sci. 2021, 11,13 ofInformed Consent Statement: Not applicable. Data Avail.