Numerical analysis of the vortex flow effect on the thermal-hydraulic performance of spray dryer

Fan motors move liquids, such as air, in the gas phase from one place to another. The frequency of the fan blades, which are the main components of the fan motor, can vary. It is crucial to know the frequencies of each fan blade to avoid design failures caused by resonance. This research analyzes the effect of differences in the angle and number of blades on the natural frequency of the fan to avoid resonance with the motor rotation frequency. Modeling and simulation using the finite element method in the Solidworks application are used to determine the natural frequencies of the fan. Fans come in various configurations, with blades ranging from two to four, and blade pitch can be 25°, 30°, or 40°. Variations in the number of fan blades and changes in blade pitch show that the low mode shape does not affect the natural frequency, while the high mode has a negligible effect. The natural frequency of fan blades 2, 3, and 4 exhibits variations when operated with motors running at 25, 35, or 50 Hz. The findings imply that the fan blades' inherent frequency does not align closely with the motor rotational frequency, indicating that the design is safe.

Section: Fem-based Methods For Modal Analysismentioning

confidence: 99%

“…The fan is a system with mass and elasticity that can experience vibrations when subjected to disturbances [1] [2]. The disturbance can come from the system (free vibration) or be caused by external influences (forced vibration).…”

Section: Introductionmentioning

confidence: 99%

Resonance analysis of fan blade design using Finite Element Method

Romahadi,

Youlia,

S. Wibisono

et al. 2023

“…When conducting simulations, engineers must follow a number of procedures. According to [18], these steps include design, mesh division, boundary condition determination, and mathematical modeling.…”

Section: Ansys Workbenchmentioning

confidence: 99%

Finite Element Analysis (FEA) of blade weed design using Ansys workbench

Prasetiyo

Prastowo

Sekarjati

et al. 2022

Manual, semi-conventional, and conventional weed eradication are the three forms of weed eradication utilized. Farmers benefit greatly from the usage of weeding equipment in combating pests in the fields. The blade you use determines how successful you are at weeding. As a result, it is required to examine the weeding weeds blade. With a tetrahedral mesh, simulation utilizing the finite element analysis approach allows for the optimization of design, computation, and prediction of material strength. The goal of this research was to figure out how much von Mises's stress, deformation, and safety factor were worth. ANSYS Workbench software was used to simulate various loadings of 10N, 25N, and 50N. The highest von Mises stress created by simulation of modelling weed blades at 10N, 25N, and 50N loads is around 2.95x10-2 MPa, 7.38x10-2 MPa, and 0.14755 MPa, respectively. Each of the safety factors is 15, and the maximum deformation value is 4.26x10-7mm; 1.06x10-6mm; 2.13x10-6mm. The safety factor indicates that the weed weeding knife design is safe to use up to 50N loading.

“…The machine is considered perfect when all the machine's energy can be used to produce work. However, no machine is ideal because it loses some of its energy in the form of other forms of energy, such as vibration [1,2,3].…”

Section: Introductionmentioning

confidence: 99%

Intelligent system design for identification of unbalance and misalignment using Fuzzy Logic methods

Romahadi,

Feriyanto,

Anggara

et al. 2024

Vibration analysis identifies emerging vibration problems before they become unmanageable and cause unforeseen delays. This can be accomplished by monitoring engine vibration continuously or at specific intervals. Unbalance is a common vibration issue caused by the center of mass shifting from the center of rotation, leading to misalignment and excessive vibration between shafts. To prevent this, manual monitoring is required, but it is time-consuming. Therefore, intelligent system monitoring is necessary to save time. Using a large amount of vibration, spectrum, and phase data as input, this project aims to develop a diagnostic application for motor problems based on vibration signals. Fuzzy logic is implemented in MATLAB software to process a considerable amount of input data for all vibrations, spectrums, and phases using the fuzzy logic method. A vibration meter is used to collect vibration data from the demonstration machine. All input data will be processed by the fuzzy system based on predefined fuzzy rules that must provide accurate results for the actual operating conditions of the demonstration machine. Conducting experiments will help the intelligent system correctly detect damage from misalignment and imbalance. The intelligent fuzzy logic system can accurately diagnose damage caused by misalignment and unbalance on the demonstration machine.