Enhancing powder coating classification accuracy via mesh-modified classifier design and operational parameter optimization

The various operational parameters and geometrical characteristics have a significant impact on how well the Proton Exchange Membrane Fuel Cell (PEMFC) performs. Cell temperature, back pressure, anode and cathode inflow velocities, Gas Diffusion Layer (GDL) porosity and thickness, cathode water mass percentage, flow channel dimensions, rib width, and porous electrode thickness are among the operating and design parameters that are optimized in this article. Using the traditional orthogonal array Taguchi approach, the optimization of design and operating parameters in software was done in two steps. From the preliminary analysis, it was concluded that rib width had the least impact on fuel cell performance and that back pressure had the greatest impact.

Modeling and optimization of gaseous helium (GHe) cooled high temperature superconducting (HTS) DC cables for high power density transmission

Experiments were conducted to determine the effects of blade angle and cutting angle on the cutting force of litchi stalk, which are important in cutter design and operational parameter optimization, and to compare the maximum cutting forces for V-cutters and for unilateral V-cutters. Five blade angles (15, 22.5, 30, 45, and 60) and four cutting angles (0, 30, 45, and 60) were selected for the experiments. The maximum cutting force for V-cutters increased with blade angle. However, as cutting angle was 0, 30, 45, and 60, no significant trend between maximum cutting force and blade angle could be found for unilateral V-cutters. The maximum cutting force reduced with cutting angle for both V-cutters and unilateral V-cutters; however, such effect was not significant. For the four cutting angles and the five blade angles( except for 15) , all had maximum cutting forces for unilateral V-cutters that were on average less than those for V-cutters.

The relevance of research on the development of feed grinding is determined by the importance of technological process of feed preparation for feeding, which significantly affects the productivity and health of livestock, as well as the overall economic performance of livestock farming. The efficiency of feed grinders is determined by two factors: energy consumption for grinding and compliance of the ground feed with zootechnical requirements. This study examines development of a feed grinder based on energy-saving principles, not only through optimization of design and operating parameters of grinding unit, but also through the creation of a start-stop system for grinder, which minimizes idle operation during cyclical and uneven feed of the ground feed into the loading hopper. This reduces the inefficient use of energy resources when grinding feed in accordance with zootechnical requirements. The goal of this study is to reduce the energy consumption of root crop grinding by developing a feed grinder, substantiating its design and operating parameters, and developing a start-stop system. The design of grinder proposes the use of flat knives in the upper tier and comb knives in the lower tier, as well as comb counter-cuts with an 80 mm spacing between the combs and mesh frames with 25 mm mesh size. The specific energy consumption of developed feed grinder for chopping carrots is 0.23 kWh/t, the throughput is 2.8 t/h and the yield of 10 to 15 mm fraction is 43.5%. The results of production tests conducted at the livestock complex of Agro-N LLC in Novospasskiy district of Ulyanovsk region confirmed the laboratory results and recommended the developed feed grinder for agricultural enterprises raising cattle.

In the paper based on the Computational Fluid Dynamics (CFD) method three-dimensional flow fields are studied using FLUENT software. Sliding mesh method, RNG к - e turbulent model and second-order upwind difference scheme are used to perform the numerical simulation. Firstly, the prediction capabilities of the turbulence models used in the simulation are assessed in detail. Secondly, numerical study is focused on the velocity field of an actual quadrate stirred tank with a dual 45 degrees pitched four-blade turbine in given conditions of design and operation parameters. Finally, the influences of design and operation parameters on mixing effects are analyzed by the simulation of the turbulence intensity. The study provides reference aids for optimization of design and operation parameters.

Economic design of a rock bed storage device for storing solar thermal energy

Optimization of design and operation parameters for hybrid ground-source heat pump assisted with cooling tower

Using a gradient optimization method with objective functions formulated in terms of a signal-to-noise ratio (SNR) calculated at given values of the prescribed spatial ground resolution, optimization problems of geometrical parameters of a distributed optical system and a charge-coupled device of a space-based optical-electronic system are solved for samples of the optical systems consisting of two and three annular subapertures. The modulation transfer function (MTF) of the distributed aperture is expressed in terms of an average MTF taking residual image alignment (IA) and optical path difference (OPD) errors into account. The results show optimal solutions of the optimization problems depending on diverse variable parameters. The information on the magnitudes of the SNR can be used to determine the number of the subapertures and their sizes, while the information on the SNR decrease depending on the IA and OPD errors can be useful in design of a beam combination control system to produce the necessary requirements to its accuracy on the basis of the permissible deterioration in the image quality.

Dynamic Simulation and Visualisation of pH-Modulated Fed-batch Fermentation for mAb Production from CHO Cell Cultures

To enhance desalination efficiency and reduce experimental costs, the development of advanced mathematical models for EMS is essential. In this study, we propose a novel hybrid approach that integrates neural networks with high-accuracy numerical simulations of electroconvection. Based on dimensionless similarity criteria (Reynolds, Péclet numbers, etc.), we establish functional relationships between critical parameters, such as the dimensionless electroconvective vortex diameter and the plateau length of current-voltage curves. Training datasets were generated through extensive numerical experiments using our in-house developed mathematical model, while multilayer feedforward neural networks with backpropagation optimization were employed for regression tasks. The resulting AI (artificial intelligence)-driven hybrid models enable rapid prediction and optimization of EMS design and operating parameters, reducing computational and experimental costs. This research is situated at the intersection of membrane science, artificial intelligence, and computational modeling, forming part of a broader foresight agenda aimed at developing next-generation intelligent membranes and adaptive control strategies for sustainable water treatment. The methodology provides a scalable framework for integrating physically based modeling and machine learning into the design of high-performance electromembrane systems.

Electromagnetic launching mass driver system (projectile) has been examined and evaluated as an eligible alternative to the chemical propulsion systems, in space transportation. The projectile has been arranged to reach to its orbital speed at delivered altitude, with an energy transferred externally to a projectile all the flyway through the electromagnetic launcher. The multistage electromagnetic launcher structure contains the capacitors for storing energy and transfers this energy through a switching inductor to a mass driver. The mass driver is synchronously being energized by a voltage through an oscillating coil-capacitor circuit. This paper presents dependence and optimization of design and performance parameters of coilgun equations. Cost estimations of electromagnetic launching system are also calculated in energy per unit mass.

Work purpose: the investigation of transport process safety in construction industry of the Bryansk region, the substantiation of reasons, factors and circumstances of accidents in the construction companies of the region, the substantiation of the impact of hydraulic drive unit failures upon safety of transport construction machinery with the hydraulic drive with the purpose of driver safety. Investigation problem: on the basis of the obtained results of the safety investigations of transport processes, reasons defined, revealed injury factors of drivers during the operation of the load flat car hydraulic drive of transport means to develop motion parameters of the “hydraulic drive-load flat car” system which will not allow arising oscillations of the system resulting in hydraulic drive failure arising which has influence upon driver’s work safety. The investigations were carried out on the basis of a system analysis of accident examinations in the regional construction industry which on the basis of statistical data allows the defining safety state of transport construction machinery. By means of investigations it is defined that 90% of transport construction machines are equipped with a hydraulic drive. In the hydraulic drive the most significant element is a hydraulic cylinder – the most loaded element performing all basic operations of a working process of loading and unloading. In the hydraulic drive there is used a telescopic hydraulic cylinder in which during operation there are revealed design-production defects (DPD) which result in injury of machine service personnel. One of DPD manifestations is oscillation formation in the hydraulic drive which results in the destruction of hydraulic cylinder attachment fitting. It is defined that the support of hydraulic drive reliability and safety is a difficult problem which needs a complex solution still at designing and creation, and during the operation. The complexity of the problem causes the necessity of design and operation parameter optimization, in the first place, that of an executing hydraulic cylinder of the hydraulic drive with the use of mathematical modeling. The review of the mathematical modeling methods of hydraulic cylinder parameters allows drawing the conclusion that the existing methods have many assumptions and do not allow creating completely reliable and safe transport construction engineering. The investigation novelty consists in the offered procedure for the solution of motion equations of the “hydraulic drive – load flat car” system which allows calculating the motion system parameters, defining the development of system oscillation above critical able to destruct a fitting unit of the hydraulic cylinder to the load flat car. Conclusion. The algorithm offered for the solution of mathematical equations allows making a conclusion on the stability and safety of the “hydraulic cylinder – load flat car” system, finding optimum values of motion parameters at any time moment of a transitional process.

Optimization of design parameters and operation conditions of solar-air source heat pump coupled system for rural buildings in cold and severe cold regions

Performance enhancement of up-flow anaerobic sludge blanket reactor for psychrophilic temperature during the dry season: Kality wastewater treatment plant

The pump operation condition and configuration are closely related in water injection system, but the existing operation optimization is carried out in the given pump configuration. In order to optimize the operation condition of the new-built system, the pump configuration and operation parameters are optimized simultaneously. In the objective function, the investment and operating cost are considered, and the displacement is identified as design variable, the determination method of pump type is given. In applications of the genetic algorithm, the coding method and crossover and mutation methods that adapted to the optimize problem are designed, and the processing method of constraint conditions are proposed, the fitness function is adjusted. An example shows the efficiency of the simultaneous optimization algorithm. Introduction Water injection system is an important power consumer in oilfield production, the operation optimization of water injection system is an important method for the energy consumption reduction. At present, there are two kinds of operation optimization, operation parameter optimization [1] [2] and start up scheme optimization [3] [4] [5] [6]. But the two kinds of operation optimization is carried out in the given pump configuration, and only applicable to the optimization of existing system. To the new or reconstructed water injection system, the existing method is that the pump configuration was fixed firstly based on the experience, and carrying out operation optimization after the completion of the system. But the different pump configurations corresponding to the different optimal running status, so the running status and the pump configuration are closely related. In order to achieve the best running status of the water injection system, it is necessary to optimize the pump configuration and operating parameters simultaneously. The Optimal Mathematical Model In order to reflect the impact of pump configuration and operation parameters to the system, in the optimization objective function, the investment cost of pump and drive motor, and the system operation cost in the investment recovery period are considered. The specific form of expression is: min ∑ =         + = p