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Measuring Acceleration Due to Gravity01:12

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Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
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A rocket's velocity in the presence of a gravitational field is decreased by the amount of force exerted by Earth's gravitational field, which opposes the motion of the rocket. If we consider thrust, that is, the force exerted on a rocket by the exhaust gases, then a rocket's thrust is greater in outer space than in the atmosphere or on a launch pad. In fact, gases are easier to expel in a vacuum.
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Rockets range in size from small fireworks that ordinary people use to the enormous Saturn V that once propelled massive payloads toward the Moon. The propulsion of all rockets, jet engines, deflating balloons, and even squids and octopuses are explained by the same physical principle: Newton's third law of motion. The matter is forcefully ejected from a system, producing an equal and opposite reaction on what remains.
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An object's apparent weight is its weight measured by a spring balance at its location. It is different from its true weight, the force with which the Earth pulls it, because of the Earth's rotation. Mathematically, an object's apparent weight equals its true weight minus the centripetal force that keeps it in a circular motion along with the Earth's surface every 24 hours.
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The gravitational potential energy between two spherically symmetric bodies can be calculated from the masses and the distance between the bodies, assuming that the center of mass is concentrated at the respective centers of the bodies.
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The gravitational acceleration of an object near the Earth's surface is called the acceleration due to gravity. It can be measured by conducting simple experiments on Earth. However, such an experiment is impossible to conduct on the surface of other planets.
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在微重力条件下,在球形中测量推进剂质量,使用电容板阵列和机器学习.

Shah M Chowdhury1, Matthew A Charleston2, Qussai M Marashdeh2

  • 1ElectroScience Laboratory, Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43212, USA.

Sensors (Basel, Switzerland)
|October 28, 2023
PubMed
概括

在微重力中准确测量推进剂质量是很困难的. 机器学习方法显著优于估计燃料含量的传统方法,即使燃料的形状和位置各不相同.

关键词:
电容传感器 电容传感器电容体积断层扫描电容量电容量断层扫描机器学习是机器学习.微重力质量测量仪微重力质量测量仪两相流量流的两个阶段.

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科学领域:

  • 航空航天工程 航空航天工程
  • 应用物理 应用物理
  • 传感器技术 传感器技术

背景情况:

  • 在微重力中测量推进剂质量对于航天器任务至关重要.
  • 不可预测的燃料污水和形状变化使传统的测量方法复杂化.
  • 电容传感器看起来很有希望,但需要对燃料体动态进行详细分析.

研究的目的:

  • 为了研究各种推进剂填充类型和位置对电容传感器精度的影响.
  • 为了比较曲线拟合和机器学习方法的性能,用于推进剂测量.
  • 确定用于微重力中精确估计燃料含量的最有效方法.

主要方法:

  • 模拟和分析电容传感器对环状,核心环状和分层推进剂填充的响应.
  • 评估用于推进剂质量估计的多个曲线拟合算法.
  • 实施和测试基于机器学习的燃料计量模型.

主要成果:

  • 推进剂的位置和形状显著影响电容传感器读数.
  • 曲线适配方法在不同的燃料配置中显示了精度的限制.
  • 机器学习方法在估计推进剂质量方面表现出卓越的表现.

结论:

  • 机器学习为在微重力下推进剂质量测量提供了强大的解决方案.
  • 精确的燃料估计是可以实现的,尽管复杂的燃料体动力学.
  • 这项研究为长期航天和轨道作业推进了关键技术.