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Determination of modal properties of the coffee fruit-stem system using high speed digital video and digital image processing

机译:使用高速数字视频和数字图像处理确定咖啡果干系统的模态特性

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摘要

Detachment of coffee fruit is usually accomplished by means of mechanical impacts and vibrations applied to the plant. Modal properties of the coffee fruit-stem system represent important information for efficient and selective harvesting. This study aimed to determine the modal parameters of the coffee fruit-stem system, such as natural frequency and damping coefficient, using high speed digital videos. With image processing techniques, it was obtained the resulting displacement of the system subjected to an impulse. The modal parameters were determined by the logarithmic decrement method, considering the system as underdamped. The use of high-speed video and digital image processing techniques allowed the simple and reliable determination of modal parameters of the coffee fruit-stem system. Natural frequencies for the coffee fruit-stem system were 11.62 and 13.29 Hz; the damping coefficient was 0.0253 and 0.029 N s m-1, and the equivalent stiffness was 8.61 and 7.09 N m-1 for red and green ripening stages, respectively. It was found overlap of resonance bands, between the ripening stages red and green, hindering the selective mechanical detachment in the first natural frequency range of the coffee fruit-stem system.Keywords:image segmentation, mechanical harvesting, mechanical vibrations.Determination of modal properties of the coffee fruit-stem system using high speed digital video and digital image processingDetachment of coffee fruit is usually accomplished by means of mechanical impacts and vibrations applied to the plant. Modal properties of the coffee fruit-stem system represent important information for efficient and selective harvesting. This study aimed to determine the modal parameters of the coffee fruit-stem system, such as natural frequency and damping coefficient, using high speed digital videos. With image processing techniques, it was obtained the resulting displacement of the system subjected to an impulse. The modal parameters were determined by the logarithmic decrement method, considering the system as underdamped. The use of high-speed video and digital image processing techniques allowed the simple and reliable determination of modal parameters of the coffee fruit-stem system. Natural frequencies for the coffee fruit-stem system were 11.62 and 13.29 Hz; the damping coefficient was 0.0253 and 0.029 N s m-1, and the equivalent stiffness was 8.61 and 7.09 N m-1 for red and green ripening stages, respectively. It was found overlap of resonance bands, between the ripening stages red and green, hindering the selective mechanical detachment in the first natural frequency range of the coffee fruit-stem system. 
机译:通常通过机械冲击和施加在植物上的振动来实现咖啡果的分离。咖啡果干系统的模态特性代表了有效且有选择地收获的重要信息。本研究旨在使用高速数字视频确定咖啡果干系统的模态参数,例如固有频率和阻尼系数。利用图像处理技术,可以得到系统在脉冲作用下的位移。模态参数是通过对数递减法确定的,考虑到系统的阻尼不足。高速视频和数字图像处理技术的使用允许简单而可靠地确定咖啡果干系统的模态参数。咖啡果干系统的固有频率为11.62和13.29 Hz;阻尼系数为0.0253和0.029 N s m-1,红色和绿色成熟阶段的等效刚度分别为8.61和7.09 N m-1。发现在成熟阶段红色和绿色之间的共振带重叠,阻碍了咖啡果干系统第一个自然频率范围内的选择性机械分离。关键词:图像分割,机械收获,机械振动。模态性质的确定使用高速数字视频和数字图像处理的咖啡果茎系统的拆卸通常,通过机械冲击和施加到工厂的振动来完成咖啡果的分离。咖啡果干系统的模态特性代表了有效且有选择地收获的重要信息。本研究旨在使用高速数字视频确定咖啡果干系统的模态参数,例如固有频率和阻尼系数。利用图像处理技术,可以得到系统在脉冲作用下的位移。模态参数是通过对数递减法确定的,考虑到系统的阻尼不足。高速视频和数字图像处理技术的使用允许简单而可靠地确定咖啡果干系统的模态参数。咖啡果干系统的固有频率为11.62和13.29 Hz;阻尼系数为0.0253和0.029 N s m-1,红色和绿色成熟阶段的等效刚度分别为8.61和7.09 N m-1。发现在成熟阶段红色和绿色之间的共振带重叠,阻碍了在咖啡果干系统的第一个自然频率范围内的选择性机械分离。

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