Recent Innovations in Chemical Engineering (Formerly Recent Patents on Chemical Engineering) - Current Issue
Volume 18, Issue 2, 2025
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The Convergence of Nanotechnology and Artificial Intelligence: Unlocking Future Innovations
Authors: Sarvat Zafar and Nadim RanaThis review article explores the integration of artificial intelligence (AI) and nanotechnology, focusing on their combined potential to drive advancements in nanomaterial discovery, drug delivery systems, and nano-electronic component design. It also examines the transformative effects of AI-enhanced nanotechnology in medicine, diagnostics, bioengineering, and other scientific domains, emphasizing its future implications across various sectors. This article examines the synergy between AI and nanotechnology, focusing on recent innovations in nanomaterial discovery, AI-driven material design, and precision medicine. It reviews case studies and research highlighting AI's role in accelerating nanomaterial development and its applications in medicine, electronics, diagnostics, and robotics, using a multidisciplinary approach. AI-enhanced nanotechnology has enabled the development of novel nanomaterials with unprecedented properties tailored for specific applications, such as highly efficient drug delivery systems and next-generation nano-electronic components. In medicine, AI-driven nanotechnology offers promising solutions for highly personalized treatments, improving therapeutic efficacy and reducing side effects. Additionally, AI is driving innovation in diagnostics and robotics, leading to more sensitive diagnostic tools and the development of nanoscale-precision robotic systems. The integration of AI and nanotechnology presents vast opportunities for scientific and technological advancements. As AI algorithms continue to evolve, their impact on nanotechnology will lead to breakthroughs in diverse fields, such as medicine, electronics, diagnostics, and robotics. This interdisciplinary synergy will open new frontiers in research, driving transformative changes in bioengineering, neuroscience, and beyond.
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Overview of Gas Recovery from Natural Hydrate Reservoirs by Depressurization: Current Status, Challenges, and Key Issues
By Tao LvNatural gas hydrates (NGHs) are among the most promising clean alternative energy sources to replace fossil fuels in the post-petroleum era. Over the past decade, extensive research on NGHs has made remarkable progress, advancing from the resource exploration stage to trial production. Field production tests have demonstrated that depressurization is one of the most effective and promising methods for the commercial exploitation of NGHs. In this paper, we systematically summarized the current advances in experimental simulations, numerical simulations, and field production tests of NGHs exploitation by depressurization. The problems and limitations of laboratory simulations and field tests were discussed, and related technical and environmental issues that may arise in commercial production were analyzed. Key scientific challenges involved during production were put forward. Enhancing production efficiency and ensuring the stability of sediment layers are critical to achieving commercial-scale exploitation of NGHs reservoirs.
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Analysis of the Results of Experimental Studies of Sewage Sludge Treatment in the Biotechnology Laboratory
Authors: Parshikova M.W. and Mikryukova E.MIntroductionThe use of bioreactors at sewage treatment plants solves an environmental problem at water utilities in the Udmurt Republic, as sludge beds are overflowing due to the fact that tens of tons of sewage sludge have been stored on sludge beds every day since the 1980s and amount to hectares of land.
ObjectiveThe results of experimental studies on the processing of wastewater sludge in the Biotechnology laboratory were analyzed to improve the efficiency of the technological process for the disposal of organic waste using a biogas plant and a process activator.
MethodsThe methodology for preparing a biogas plant for entering the operating mode and further operation is presented. An algorithm for experimental studies using a biogas plant and obtaining biogas from organic waste is presented.
ResultsThe article presents an analysis of the results of experimental studies of sewage sludge treatment under periodic psychrophilic and, subsequently mesophilic operating conditions of the bioreactor in relation to the climatic conditions of the Udmurt Republic. The results of experimental studies in the article are presented in the form of graphical dependencies of the volume of produced biogas on the temperature and duration of the process.
The article presents the dynamics of changes in the volume of produced biogas depending on the increase in temperature and duration of the process under the mesophilic operating mode of the bioreactor. On the first day of the experiment under the mesophilic mode in the bioreactor, the volume of produced biogas was 2.15% (7.41 g) at a temperature of 32°C; with increasing temperature, the volume of produced biogas increased. The maximum biogas production was observed on the fifth day of the experiment under the mesophilic mode and amounted to 7.66%, which corresponds to 26.41 g.
ConclusionThe recommended loading volume of biomass into the bioreactor is 80 liters. In accordance with the actual conditions of the sewage treatment facilities, the volume of biogas produced will be 26.000 m3 of methane daily during the period of anaerobic fermentation in the bioreactor. To solve the environmental problem, it is necessary to install a complex of bioreactors at the water utilities of the Udmurt Republic.
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Optimization Removal of Cd (II) from Aqueous Solution by Exhausted Kahwa Coffee Biochar under Various Carbonization Parameters
Authors: Nika R. Yanti, Aninda T. Puari, Rusnam Rusnam and Irriwad PutriIntroductionRecently, abundant agricultural solid waste has been utilized as sustainable biosorbents for removing heavy metals from aqueous solutions. However, the influence of the carbonization parameters on the specified biosorbent performance has not been well discussed. In this study, we developed the removal efficiency (RE) of Exhausted Kahwa Coffee (EKC) as a low-cost and high-efficiency biosorbent for Cd (II) under various carbonization temperatures (300 – 600°C) and time (1- 4 h).
MethodsThe batch biosorption test showed that the EKC biochar with a carbonization temperature of 500˚C and time of 4 h removed 97% of Cd (II) from the solution. The biosorption performance was further investigated by integrating the physicochemical changes in the surface and functional groups of the EKC biochar at different temperatures using BET, SEM, and FT-IR instruments.
ResultsThe FT-IR showed alterations in the functional groups, while the BET data and SEM images demonstrated that the porous surface of the biochar developed as the temperature increased. Furthermore, the biosorption test data was plotted in the Langmuir and Freundlich isotherm models, where the Langmuir isotherm model showed the better fit of EKC biochar. The maximum biosorption capacity of the EKC biochar on Cd (II) was calculated at 3.41 mg/g by fitting the equilibrium data to Langmuir isotherm equations.
ConclusionIt was found that the kinetic data fitted well with Pseudo-Second-Order (PSO) with a correlation coefficient of R2 = 0.99. These findings imply the influence of the carbonization parameter on the potential biosorption of the EKC biochar on Cd (II).
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Fuzzy PI Control and Optimization of Startup Process of High-Speed DC Centrifugal Pumps
Authors: Yu Cheng Pan and Yan Wei WangBackgroundCentrifugal pumps are key equipment used for fluid transfer in the chemical industry. During the start-up process of high-speed centrifugal pumps, the hydraulic characteristics such as flow rate and head will change significantly, and the optimization of the pump start-up process can improve its stability and service life, which will make centrifugal pumps more efficient in chemical production.
ObjectiveAchieving a fast and stable startup process has always been a goal in the engineering application of high-speed centrifugal pumps.
MethodsFirst, the mathematical relationship between the torque and speed of the centrifugal pump is established. Then, based on the physical characteristics of the DC motor and considering the centrifugal pump torque as the load, a mathematical model of the high-speed DC centrifugal pump is developed. A fuzzy PI controller for the high-speed DC centrifugal pump is designed by integrating traditional PI control methods with fuzzy control theory to manage the startup process. Optimization algorithms are employed to optimize the parameters of the fuzzy PI controller.
ResultsBefore optimization, the settling time was 0.33 s, the motor speed overshoot was 7.69%, the head overshoot was 3.77%, and the flow rate overshoot was 7.69%. After optimization, the settling time improved to 0.25 s, the motor speed overshoot was reduced to 6.3%, the head overshoot to 3.1%, and the flow rate overshoot to 6.3%.
ConclusionA comparison of simulation results before and after parameter optimization demonstrates that the optimized fuzzy PI control yields better dynamic performance during the startup process of the high-speed DC centrifugal pump.
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