The protective coatings industry is expanding, offering significant improvements in abrasion and wear resistance, which are crucial for economic sustainability. Despite the advancements, there remains a research gap in understanding the tribological properties and surface morphologies of electroless Ni-P and Ni-B coatings. This study aims to fill this gap by characterizing the surface structures, friction coefficients, and wear properties of two types of Ni-P and one type of Ni-B coatings. Using a ceramic ball counterpart in an SRV5 tribometer, we compared the wear rates according to Archard’s and Liu’s models, adhering to the DIN 51834-1 standard. Scanning electron microscopy was employed to analyze the impact of surface structures on friction coefficients and wear factors. The results reveal significant differences in wear resistance and friction behaviour among the coatings, providing valuable insights for their application in various industries.

The object of this study is the impact of different digital twin solutions on the performance of job-shop manufacturing systems, while economic aspects are also taken into consideration. This paper proposes an approach to analyze the impact of different identification systems on the efficiency and ROI of digital twin deployment in production systems. In order to achieve this aim, let’s analyze the investment and operation cost of different Internet of Things technologies. The next phase of the research work was the definition of performance parameters, which makes it possible to analyze the impact of different digital twin solutions on the productivity of the job-shop manufacturing system. It is possible to choose four financial indicators to analyze the economic impact of digital twin solution on job-shop manufacturing: return on investment, compound annual growth rate, internal rate of return and net present value. Our approach is based on a novel agent-based simulation model using AnyLogic simulation tool. From the results of this productivity analyses, the model computes the financial indicators, which describe the expected financial impact of the investment and operation cost. It is compared the impact of barcodes and radiofrequency identification technologies on the financial and technological impact of the job-shop manufacturing environment. The numerical analysis of a job-shop manufacturing system shows, that the radiofrequency identification-based digital twin solution has 9.2 % higher return on investment, 53 % higher net present value and 1.6 % higher compound annual growth rate. The model can be easily converted to analyze other types of manufacturing systems, which can lead to increased efficiency of digital twin solutions

Protective coatings enhance abrasion and wear resistance, extending component lifespan. This study optimizes bath and heat treatment parameters for Ni–B coatings to improve tribological performance. Synthetic datasets of the coefficient of friction (COF) were analyzed using factorial design and the Taguchi method. The optimal COF values were μ_opt = 0.4244 (factorial) and μ_opt = 0.3998 (Taguchi), with the latter’s confidence interval [0.3671, 0.4325] confirming the validity of both. For minimizing COF, optimal settings were t_f = 60 °C, T_l = 60 min, t_h = 200 °C; for maximizing Vickers microhardness, t_f = 85 °C, T_l = 100 min, t_h = 600 °C, with a confidence interval of [814.17, 867.48]. These findings offer valuable insights into optimizing the Ni–B coating process.

Ugyan a digitális iker technológia egy nagyon ígéretes lehetőség a termelő és szolgáltató vállalatok számára, de mindig nehéz megtalálni a módját annak, hogy kiszámítsuk a digitális iker bevezetésének pénzügyi vonatkozásait, különösen a beruházások megtérülése (ROI) szempontjából. A digitális iker megvalósításának megtérülése a munkaerőköltségen, a tárgyi és immateriális javakon egyaránt alapulhat. Ez a tanulmány egy olyan módszert javasol, amely elemzi a különböző azonosító rendszerek hatását a digitális iker telepítés hatékonyságára és megtérülésére a termelési rendszerekben. A javasolt módszer szimulációs elemzéssel végzi el a digitális iker nyújtotta teljesítménynövekedés meghatározását, melyből számíthatók azon pénzügyi mutatók, melyek alapján a megtérülés meghatározható.