Simulation of flow-field and debris temperature analysis in micro-electrical discharge milling using slotted tools

Mullya, Satish; Karthikeyan, G.; Ganachari, Vaibhav

doi:10.1177/09544054211061934

Cited by 2 publications

(1 citation statement)

References 26 publications

(27 reference statements)

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“…It mainly determines the turbulence viscosity coefficient by solving two additional equations: the k equation (k is turbulence kinetic energy) and ε equation (Epsilon, dissipation rate of turbulence kinetic energy), and then solves the turbulence stress. When the standard k-ε model is used to solve the real turbulence problem, the governing equations include the continuity equation, momentum equation, energy equation, k-ε equation, and viscosity coefficient equation [22]. Suppose that the components of a fluid element per unit mass on each coordinate axis are denoted as x, y, and z, respectively:…”

Section: Mathematical Modelmentioning

confidence: 99%

CFD Simulation and Optimization of the Leaf Collecting Mechanism for the Riding-Type Tea Plucking Machine

Weng¹,

Tan

Wang³

et al. 2023

Agriculture

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In the process of tea plucking and leaf gathering, the structure optimization design of the leaf collecting mechanism is the key element responsible for collecting fresh leaves. The unreasonable design and manufacture of leaf collecting mechanisms will cause the smooth collection of fresh leaves, the quality of the collected fresh leaves will be damaged, and the commodity value will be reduced. In order to further study the structural characteristics of the leaf collecting mechanism, an air outlet model of the leaf collecting mechanism was established for the phenomena of internal vortex rotation and impact in the leaf collecting mechanism process. The internal flow field of the leaf collecting mechanism, the movement trajectory of fresh leaves, and the non-homogeneous flow are calculated using computational fluid dynamics (CFD). Based on Box-Behnken’s central combinatorial design theory, the velocity inlet and outlet air structure factors are taken as the influencing factors to carry out response surface test research. The effect of different parameters such as engine rotation, shape of the blowing cavity and air outlet parts, and velocity on the flow is determined. The optimal parameter combination is as follows: the height of the outlet end, the length of the inlet end, and the velocity inlet are 0.01 m, 0.03 m, and 25 m/s, respectively. Furthermore, it was found that when the number of plates increases from 1 to 4, the non-homogeneity decreases all the time, and the distribution of blowing air is improved without a sharp decrease in velocity. The average velocity outlet was larger than the velocity inlet, which meets the requirements of blade gathering. Considering comprehensively, the flow field simulation of the blade collecting mechanism with four baffles was consistent with the test results of the velocity outlet. The validation results showed that the model can successfully simulate the air flow inside the leaf-collecting mechanism, and the reasonable structure design was conducive to reducing the number of collisions between tea buds and improving the quality of tea buds. This research has certain theoretical and practical implications for the accurate plucking of high-quality tea.

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Section: Mathematical Modelmentioning

confidence: 99%