Study on the Noise Reduction Mechanism and Application of the Noise Simulation Analysis of Care Robots

IF 2.7 3区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Science and Technology Pub Date : 2024-07-03 DOI:10.1088/1361-6501/ad5ea2

Yaochi Tang, Yi Ting Chen

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Abstract

Currently, robots on the market have varying operational requirements due to their different functions. The care robots are primarily used to serve people under care. Therefore, reducing the amount of noise they make while moving is important. This study measured their noise in an anechoic room. This study found that the most noise is produced when they move forward and backward at full speed. The robot’s vibration signal was measured and compared with the noise source to propose the most effective way to reduce the noise. Due to the robot's small internal space, methods for noise reduction are limited. The care robot’s development must adopt quick customizable 3D printing technologies, produce sound absorption/insulation materials independently, determine the best sound absorption/insulation material and structural configuration, use impedance tubes to measure the sound absorption coefficient and sound insulation performance, and select the appropriate materials and implement them into the robot for actual tests. These results indicate that the noise value of the main contributing frequency can be reduced by 15dB at most. Furthermore, this study also used an acoustic simulation analysis to calculate and simulate the vibration and noise of the care robot. The vibration and noise signals during the robot's operation were measured and compared to provide a reference for manufacturers in design. Finally, experimental materials were added to the simulation and compared with the noise reduction results. The results show similar trends. Therefore, the model developed in this study may provide a fast, low-cost, and feasible method for the noise reduction of care robots.

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护理机器人的降噪机制研究与噪声模拟分析应用

目前，市场上的机器人因功能不同而有不同的操作要求。护理机器人主要用于为需要护理的人提供服务。因此，降低它们在移动过程中产生的噪音非常重要。这项研究在消声室中测量了它们的噪音。研究发现，机器人全速前进和后退时产生的噪音最大。我们测量了机器人的振动信号，并将其与噪声源进行了比较，从而提出了减少噪声的最有效方法。由于机器人内部空间狭小，降低噪音的方法有限。护理机器人的开发必须采用可快速定制的 3D 打印技术，自主生产吸音/隔音材料，确定最佳吸音/隔音材料和结构配置，使用阻抗管测量吸音系数和隔音性能，并选择合适的材料将其应用到机器人中进行实际测试。这些结果表明，主要贡献频率的噪声值最多可降低 15dB。此外，本研究还采用了声学模拟分析方法来计算和模拟护理机器人的振动和噪声。对机器人运行时的振动和噪音信号进行了测量和比较，为制造商的设计提供参考。最后，在模拟中加入了实验材料，并与降噪结果进行了比较。结果显示出相似的趋势。因此，本研究开发的模型可为护理机器人降噪提供一种快速、低成本且可行的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement Science and Technology 工程技术-工程：综合

CiteScore

4.30

自引率

16.70%

发文量

656

审稿时长

4.9 months

期刊介绍： Measurement Science and Technology publishes articles on new measurement techniques and associated instrumentation. Papers that describe experiments must represent an advance in measurement science or measurement technique rather than the application of established experimental technique. Bearing in mind the multidisciplinary nature of the journal, authors must provide an introduction to their work that makes clear the novelty, significance, broader relevance of their work in a measurement context and relevance to the readership of Measurement Science and Technology. All submitted articles should contain consideration of the uncertainty, precision and/or accuracy of the measurements presented. Subject coverage includes the theory, practice and application of measurement in physics, chemistry, engineering and the environmental and life sciences from inception to commercial exploitation. Publications in the journal should emphasize the novelty of reported methods, characterize them and demonstrate their performance using examples or applications.