This review focuses on the complex connections between machine learning, mechatronics, and stretch forming, offering valuable insights that can lay the groundwork for future research. It provides an overview of the origins and fundamentals of these fields, emphasizes notable progress, and explores the influence of these fields on society and industry. Also highlighted is the progress of robotics research and particularities in the field of sheet metal forming and its various applications. This review paper focuses on presenting the latest technological advancements and the integrations of these fields from their beginnings to the present days, providing insights into future research directions.

A facile, ecofriendly, and cost-effective method was developed to prepare a microporous material based on natural chemically modified bentonite with silver ions (BN-Ag⁰). This material presents a good catalytic activity against Malachite Green (MG) dye and bacteriostatic activity against a newly isolated bacterium from sewage sludge named hereafter “ISO SS” and Escherichia coli (E. coli). BN-Ag⁰ was characterized by the following methods: energy-dispersive X-ray spectroscopy (EDX), scanning electron microscopy (SEM), Brunauer–Emmett–Teller (BET), Fourier-transform infrared (FTIR) spectroscopy, temperature programmed desorption (TPD) and X-ray Diffraction (XRD). The new bacterium ISO SS, was isolated using the technique of isolating a pure culture of anaerobically stabilized sludge. A mandatory characterization of ISO SS isolated strains from anaerobic stabilized sludge was performed in the process of identifying bacterial species. The cationic clay-based nanomaterial showed appreciable antibacterial activity against ISO SS, a Gram-negative bacterium. It also showed good activity against E. coli bacteria. As a catalyst in the catalytic ozonation of MG dye, BN-Ag⁰ significantly improves the oxidation time of the dye, due to its good adsorption and catalytic properties. The catalytic and antibacterial activities of the natural bentonite (BN) and of BN-Ag⁰ were examined using performant characterization techniques. The lifetime of the BN-Ag⁰ catalyst was also evaluated. Results obtained are expected to provide valuable findings for the preparation of a good microporous material with multiple functionalities.

The influence of notches and fatigue on the ultimate tensile strength and elongation at break of aluminium alloys (2024-T3, 6061-T4, 6061-T4 uncoated, 6061-T6 uncoated, 7075-T0, and 7076-T6) is presented in this study. A total of 120 specimens were used. On all specimens, notches were made using a CNC machine, with 60 of them subjected to low-cycle fatigue (LCF) before undergoing the tensile test. Based on the statistical examination of the measured data, mathematical prediction models have been established. Compared to their unscratched counterparts, the results indicate a significant decrease in the UTS and elongation at break for both notched and notched-fatigued specimens. The LCF pre-treatment contributes to the negative impacts of the notches, resulting in reduced values for the UTS and elongation at break, thus concluding that surface integrity is critical for maintaining the structural strength of aircraft components.

This study examines the relationship between foreign direct investment (FDI) and economic growth in Romania during 2003–2023, by distinguishing the effects of FDI stock and FDI flow, with a focus on sustainable development. Because the variables have different integration orders, we used the ARDL model and the bounds test to check the long-run relationship between real GDP per capita and FDI stock, FDI inflows, exports, and labor productivity growth. The refined ARDL model (adjusted for multicollinearity) confirms a stable long-run equilibrium relationship among the variables, with all coefficients statistically significant at the 5% level. Long-run elasticities indicate that economic growth is primarily driven by FDI stock (0.23) and exports (0.24), validating the “export–investment nexus” hypothesis. Also, FDI inflows contribute positively (0.09), while labor productivity remains a critical internal determinant (0.03). Short-run dynamics, captured through the ARDL-ECM specification, reveal that only labor productivity exerts an immediate effect, whereas foreign capital plays a structural stabilizing role. The error correction term (–0.279) suggests an adjustment speed of approximately 27.9% annually, reflecting strong economic resilience across EU ascension (2007), financial crisis (2008–2009), and COVID-19 pandemic (2020–2021). Our study contributes to the literature regarding the effects of FDI in Romania, by simultaneously including FDI stock and flow and considering the pandemic period. Also, our study employs dynamic productivity specification and provides transparent model selection procedures within a sustainable framework. The results in this study are of interest for policymakers, emphasizing the need to focus on attracting quality FDI (green and high-tech investments, investor retention, and human capital development) which can facilitate sustainability-oriented strategies that could lead to sustainable economic growth.

An industrial process is defined through its quality of parts and their production costs. Labour-intensive operations must be applied to produce high-quality components with inexpensive resources. Recent development in dedicated software allows the industrial sector to rely on more and more autonomous solutions to obtain an optimum ratio between part quality and cost. The stretch forming process is an operation that has a high degree of difficulty, due to the process parameters and the spring-back effect of materials. Our approach to solving several of the shortcomings of this process was to develop a self-adaptive algorithm with computer vision capabilities that adapts to the process in real-time. This experimental study highlights the results obtained using this method, as well as a comparison to a classical method for the stretch-forming process (SFP). The results have noted that the stretch-forming algorithm improves the process, while adapting its decisions with each step.