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With the increasing projects on surveillance and monitoring purposes over the years, the requirement of visual equipment especially in autonomous mobile robot (AMR) has improved. By implementing Computerized Fluid Dynamic (CFD) method, Coanda-effect was introduced to get better flow characteristic (radial and tangential pressure - velocity profiles) on surface particle cleaning in AMR application. To establish this condition, a novel design of particle removal based on human lacrimal system was reconstructed and gradually examined to obtain optimized particle cleaning which carried out in FLUENT and iSIGHT. Throughout the history of mankind, nature has become a source of inspiration towards technical and engineering design. A biomimetic approach was utilized as main concept in providing design process with incorporating both form aspects and functional principles. As design process progressed, the bionic innovation can serve as a prominent role in the development of engineering design. Simultaneous practice - recognition - practice is repeated, in order to make things more consistent with the simulated production needs. Under these circumstances, the growth and structure of surface disturbances by a coaxial airflow in accordance with pressure distribution and shear stresses were numerically investigated. Furthermore, an optimization method for achieving optimal particle cleaning was formulated based on independent variables with the objectives to maximize pressure flow and drag force coefficient while minimizing the dynamic turbulence flow. The influence of pressure distribution, nozzles angle of attack and particle matters have also been explored. Result shows that this design structure qualitatively represents characteristic of the optimum surface cleaning performance in terms of particle drag force and energy efficiency. |
