![]() ![]() At wind speed of 15 m/s the larger the opening angle the CD increases. Based on this, it can be concluded that at wind speed of 5.5 m/s the higher the opening angle, the higher CL produced. At wind speed of 15 m/s, an angle of 65°, the CL value is 5.96E+01, the CD value is 1.33E+03. At wind speed of 15 m/s, an angle of 45°, the CL value is 5.51E+04, the CD value is 4.12E+02. ![]() At wind speed of 15 m/s, an angle of 35°, the CL value is 2.20E+03, the CD value is 9.76E+02. At wind speed of 5.5 m/s, an angle of 65°, the CL value is 1.84E+06, the CD value is 3.68E+04. At wind speed of 5.5 m/s, an angle of 45°, the CL value is 1.08E+04, the CD value is 1.77E+01. The results is at wind speed of 5.5 m/s, an angle of 35°, the CL value is 1.07E+02, the CD value is 4.02E+04. This study aims to analyze the coefficient of lift (CL) and coefficient of drag (CD) with variations opening angle of 35°, 45°, 65°, air fluid, turbulent flow, Re 1200, pressure distribution 1 atm, wind speed 5, 5 and 15 m/s. The design is made from the arrangement of the Fibonacci sequence (1x1, 2x2, 3x3, 5x5, 8x8) or commonly known as the golden ratio. The eccentric design has aerodynamic characteristics that have been the focus of previous research. This type of wind turbine uses lift and drag to harness the kinetic energy of the wind. The configuration of new type of turbine is the Archimedes wind turbine with a spiral structure whose design is inspired by logarithmic spirals. We have also conducted further analyses of local DOS, Fourier decomposition, correlation study, spectral decomposition, and structural similarity index. If a fruit looks aged from its external morphology as well as internal morphology, our method identifies the intrinsic similarities between two phenotypic expressions without implementing any computationally expensive search algorithm. The average of these single numbers for less aged nuts and highly aged nuts are 4.9 and 3.8, respectively. We found that the DOS can provide a unique coefficient to represent age and ageing together using a single number. We developed a smartphone camera-based high-resolution measurement with comprehensive biophysical mathematics and a quantum mechanical concept called density of states (DOS). We investigated the internal patterns of differently aged areca nuts randomly chosen from the same age group. We present the first finding to identify similarities among complex networks of differently aged areca nuts. A large number of areca nuts has been studied since 2017 to develop a low-cost tool for the LMICs to categorise areca nuts. Areca nut is considered to be addictive for humans and has increased adverse health effects. Perception towards these patterns is an intrinsic nature of plant-dependent animals for coexistence. Complex pattern formation is an essential characteristic of plants and their ageing, growth, and evolution. ![]()
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