coefficient of induced deviation

简明释义

感应自差系数

英英释义

例句

1.In the study of fluid dynamics, the coefficient of induced deviation helps predict flow behavior around obstacles.

在流体动力学研究中，诱导偏差系数有助于预测流体在障碍物周围的流动行为。

2.The data showed a significant coefficient of induced deviation, indicating a need for design adjustments.

数据表明存在显著的诱导偏差系数，这表明需要进行设计调整。

3.The coefficient of induced deviation was crucial for understanding the impact of environmental factors on the experiment.

对于理解环境因素对实验的影响，诱导偏差系数至关重要。

4.To improve accuracy, the team focused on minimizing the coefficient of induced deviation in their simulations.

为了提高准确性，团队专注于在模拟中最小化诱导偏差系数。

5.The engineer calculated the coefficient of induced deviation to determine how much the structure would shift under load.

工程师计算了诱导偏差系数以确定结构在负载下会有多少位移。

作文

In the realm of physics and engineering, understanding various coefficients is crucial for analyzing systems and predicting their behavior under different conditions. One such important term is the coefficient of induced deviation, which plays a significant role in the study of dynamic systems. This coefficient measures the degree to which a system deviates from its expected performance due to external influences or internal changes. By grasping the concept of the coefficient of induced deviation, engineers and scientists can enhance their designs and improve system stability.To illustrate the importance of the coefficient of induced deviation, let’s consider a simple example involving a pendulum. When a pendulum swings, it follows a predictable path determined by gravity and its initial conditions. However, if an external force, such as wind or an uneven surface, acts on the pendulum, it may deviate from its intended path. The coefficient of induced deviation quantifies this deviation, allowing us to analyze how much the external force has impacted the pendulum's motion.In engineering applications, the coefficient of induced deviation can be particularly useful when designing control systems. For instance, in aerospace engineering, aircraft must maintain stable flight paths despite various disturbances, such as turbulence or changes in air pressure. By calculating the coefficient of induced deviation, engineers can predict how the aircraft will respond to these disturbances and make necessary adjustments to the control systems to ensure safety and efficiency.Moreover, the coefficient of induced deviation is not limited to mechanical systems; it also finds applications in electrical engineering. In circuits, for example, fluctuations in voltage can cause components to behave unpredictably. Understanding the coefficient of induced deviation helps engineers design more resilient circuits that can withstand such variations without failing.The significance of the coefficient of induced deviation extends beyond theoretical analysis; it has real-world implications. For example, in robotics, ensuring that a robot can adapt to unexpected obstacles is crucial for its functionality. By studying the coefficient of induced deviation, roboticists can create algorithms that allow robots to adjust their movements in response to environmental changes, thereby improving their autonomy and effectiveness.In conclusion, the coefficient of induced deviation is a vital concept in various fields of science and engineering. It provides a framework for understanding how systems react to deviations caused by external forces or internal changes. By mastering this concept, professionals can enhance their designs, improve system performance, and ensure safety in applications ranging from aerospace to robotics. As technology continues to advance, the ability to analyze and mitigate deviations will become increasingly important, making the study of the coefficient of induced deviation essential for future innovations.

在物理和工程领域，理解各种系数对于分析系统和预测其在不同条件下的行为至关重要。其中一个重要术语是诱导偏差系数，它在动态系统的研究中发挥着重要作用。这个系数衡量了由于外部影响或内部变化而使系统偏离预期性能的程度。通过掌握诱导偏差系数的概念，工程师和科学家可以增强他们的设计，提高系统的稳定性。为了说明诱导偏差系数的重要性，让我们考虑一个简单的例子，涉及摆。当摆摆动时，它遵循由重力和初始条件决定的可预测路径。然而，如果外部力量，例如风或不平坦的表面，作用于摆上，它可能会偏离其预定路径。诱导偏差系数量化了这种偏差，使我们能够分析外部力量对摆运动的影响程度。在工程应用中，诱导偏差系数在设计控制系统时特别有用。例如，在航空航天工程中，飞机必须保持稳定的飞行路径，尽管存在各种干扰，例如湍流或气压变化。通过计算诱导偏差系数，工程师可以预测飞机如何响应这些干扰，并进行必要的调整，以确保安全和效率。此外，诱导偏差系数不仅限于机械系统；它在电气工程中也有应用。在电路中，例如，电压波动可能导致组件表现出不可预测的行为。理解诱导偏差系数帮助工程师设计出更具弹性的电路，以承受这种变化而不发生故障。诱导偏差系数的重要性超越了理论分析；它具有现实世界的意义。例如，在机器人技术中，确保机器人能够适应意外障碍物对于其功能至关重要。通过研究诱导偏差系数，机器人专家可以创建算法，使机器人能够根据环境变化调整其运动，从而提高其自主性和有效性。总之，诱导偏差系数是科学和工程各个领域的重要概念。它提供了一个框架，用于理解系统如何对外部力量或内部变化引起的偏差做出反应。通过掌握这一概念，专业人士可以增强他们的设计，改善系统性能，并确保从航空航天到机器人技术等应用中的安全。随着技术的不断进步，分析和减轻偏差的能力将变得越来越重要，使得对诱导偏差系数的研究成为未来创新的关键。