Optimizing the design of impellers in turbomachinery is crucial for improving its energy efficiency, structural integrity, and hydraulic performance in various engineering applications. This work proposes a novel modular framework for impeller optimization that integrates high-fidelity CFD and FEM simulations, AI-based surrogate modeling, and multi-objective evolutionary algorithms. A comprehensive analysis of over one hundred recent studies was conducted, with a focus on advanced computational and hybrid optimization techniques, CFD, FEM, surrogate modeling, evolutionary algorithms, and machine learning approaches. Emphasis is placed on multi-objective and data-driven strategies that integrate high-fidelity simulations with metamodels and experimental validation. The findings demonstrate that hybrid methodologies such as combining response surface methodology (RSM), Box–Behnken design (BBD), non-dominated sorting genetic algorithm II (NSGA-II), and XGBoost lead to significant improvements in hydraulic efficiency (up to 6.7%), mass reduction (over 30%), and cavitation mitigation. This study introduces a modular decision-making framework for impeller optimization which considers design objectives, simulation constraints, and the physical characteristics of turbomachinery. Furthermore, emerging trends in open-source tools, additive manufacturing, and the application of deep neural networks are discussed as key enablers for future advancements in both research and industrial applications. This work provides a practical, results-oriented framework for engineers and researchers seeking to enhance the design of impellers in the next generation of turbomachinery.

Material wear, maintenance costs, performance, efficiency, and corrosion are some of the issues that turbomachinery impellers may encounter. The optimization of impellers through additive manufacturing (AM) has been the focus of extensive research, aiming to address these challenges in turbine, pump, compressor, fan, and mixer components. This research aims to identify and analyze the main techniques currently being developed to tackle several of these issues. Evaluating the published research, the methodology highlights various AM techniques applied to impellers and related components, as well as the diverse materials used in functional system elements. The analysis revealed that the most commonly used additive manufacturing technologies for the production of turbomachinery components are FDM, with a 22% application rate, and powder bed fusion technology, accounting for 35%, utilized for high-complexity parts and even superalloys. Although more expensive, these technologies employ materials with superior resistance capabilities, surpass the limitations of conventional machining, optimize manufacturing times, and allow for the fine-tuning of multiple parameters. In terms of wear and corrosion resistance, materials such as Inconel 718 exhibited a loss of less than 0.1 mpy (mils per year) in highly corrosive environments, representing a significant improvement over traditional materials.

Se ha determinado la relación entre la calidad de la gasolina que se expende en el Ecuador (determinada por su octanaje) y el grado de las emisiones contaminantes producidas por el mismo vehículo de prueba, pero a presión atmosférica distinta en las distintas regiones del país, ubicadas desde nivel del mar hasta sobre los 2500 metros de altura. Para lograr dicho objetivo, se realizó una serie de pruebas y se ha considerado cinco medidas. Se realizó una medición estática de gases, en la que se consideró cuatro parámetros que son: hidrocarburos no combustionados HC (ppm), monóxido de carbono CO (%V), dióxido de carbono CO2 (%V) y oxígeno O2 (%V). Una vez procesados los datos se determinan los efectos de variables tales como revoluciones por minuto del motor (rpm), octanaje del combustible y altura del lugar de las mediciones, sobre las emisiones de CO, CO2, HC y O2.

In Ecuador, the growth of the transportation sector has significantly increased greenhouse gas emissions. According to experts, this sector currently contributes to 49.8% of total greenhouse gas emissions in this country. This poses significant challenges for environmental sustainability, emphasizing the urgent need for effective strategies to mitigate these emissions and promote environmentally friendly practices. Therefore, this study focuses on developing a dynamic simulation of energy scenarios for the year 2035 in the transportation sector, with the goal of transitioning to sustainable mobility, as fossil fuels are the main pollutants in the country. This study proposes system dynamics models using VENSIM 6.0b software to estimate the total energy demand and pollutant emissions in the transportation sector. The results suggest that if Ecuador aligns with global mobility trends and implements public policies promoting the use of electric vehicles, total CO₂ emissions could potentially decrease from 50,161,432 kilobarrels of oil equivalent (kBOE) to 20,589,720 kBOE by the year 2035.

This study is dedicated to advancing practical and experimental knowledge within sustainable construction and enhancing community productivity, focusing on cattail schoenoplectus californicus, Cyperaceae fibers in Imbabura, Ecuador. The research aims to meticulously analyze and understand cattail fibers’ physical and mechanical properties, characteristics, and potential applications through extensive laboratory testing. The study strives to contribute significantly to the ongoing discussions surrounding sustainable building materials by offering a rich repository of scientific data and insights from our in-depth investigations. Furthermore, we delve into biotechnology and biomimicry, seeking inspiration from the natural world to innovate our construction methodologies. Our exploration also encompasses the technical dimensions of a building, artisanal craftsmanship, eco-conscious design principles, and the evaluation of seismic strength within architectural, structural, and acoustical design frameworks. Through this comprehensive approach, we aspire to illuminate new pathways for employing cattail in sustainable construction practices.

Polymers such as PLA, PLA reinforced with carbon fiber (PLA + CF), and PETG are widely employed in utensils, structural components, and biomedical device housings where load-bearing capability and chemical resistance are desirable. This is particularly relevant for reusable applications in which sterilization with hydrogen peroxide (HP) or ethylene oxide (EO) is often required. In this study, the impact of HP and EO sterilization processes on the mechanical, thermal, and structural properties of PLA, PLA + CF, and PETG was evaluated. The mechanical properties assessed included elongation at break, elastic modulus, and tensile strength after sterilization. The thermal properties examined comprised thermal stability and the coefficient of thermal expansion (CTE). Additionally, Fourier Transform Infrared Spectroscopy (FTIR) was performed to detect potential alterations in functional groups. For PLA, sterilization with HP and EO resulted in a 22% increase in ultimate tensile strength (UTS) and a 21% increase in elastic modulus, accompanied by a noticeable reduction in ductility and the appearance of more brittle fracture surfaces. PLA + CF exhibited greater stability under both sterilization methods due to the reinforcing effect of carbon fibers. In the case of PETG, tensile strength and stiffness remained stable; however, HP sterilization led to a remarkable increase in elongation at break (294%), whereas EO sterilization reduced it. Regarding thermal properties, glass transition temperature (Tg) showed variations: PLA presented either an increase or decrease in Tg depending on the sterilization treatment, PLA + CF displayed a Tg reduction after EO sterilization, while PETG exhibited a moderate Tg increase under HP sterilization. CTE decreased at lower temperatures but increased after EO treatment. FTIR analysis revealed only minor chemical modifications induced by sterilization. Overall, HP and EO sterilization can be safely applied to additively manufactured medical components based on these polymers, provided that the structures are not subjected to high mechanical loads and do not require strict dimensional tolerances.