We have performed sequential studies on new types of soft rubber for their application as artificial skin in robots and haptic sensors. Based on a proposed electrolytic polymerization method and novel adhesion techniq...We have performed sequential studies on new types of soft rubber for their application as artificial skin in robots and haptic sensors. Based on a proposed electrolytic polymerization method and novel adhesion technique for rubber and a metal that utilizes a metal complex hydrate, we have developed an MCF rubber sensor. This sensor uses a magnetic compound fluid (MCF), natural rubber (NR-latex) or chloroprene rubber latex (CR-latex), and requires the application of a magnetic field. The potential application of the developed sensor in various engineering scenarios and our daily lives is significant. In this regard, we investigated the effects of γ-irradiation, infrared radiation, microwaves, and a thermal source on the MCF rubber sensor. We established that the MCF rubber is effective enough to be used for power generation of broadband electro-magnetic waves from γ-rays to microwaves, including the range of the solar spectrum, which is the typical characteristic obtained in the present investigation. The remarkable attribute is that the MCF rubber sensor dose is not degraded by γ-irradiation. We also demonstrated the effectiveness of the MCF rubber sensor in energy harvesting.展开更多
海洋磁异常检测是海洋科学观测、海底资源勘探、国防安全等领域的重要手段之一,但复杂环境磁场噪声增加了目标磁探测的难度,研究各种磁场噪声机理及抑制方法对于测量精度的提升具有重要意义。该文提出一种磁异常检测噪声抑制算法,利用...海洋磁异常检测是海洋科学观测、海底资源勘探、国防安全等领域的重要手段之一,但复杂环境磁场噪声增加了目标磁探测的难度,研究各种磁场噪声机理及抑制方法对于测量精度的提升具有重要意义。该文提出一种磁异常检测噪声抑制算法,利用通用型和无限水深条件下的海浪磁场模型分别对海浪感生磁场噪声进行估算,通过谱减法和小波去噪相结合的方法对磁异常信号中的海浪和地磁场噪声进行滤除。该文利用2015年8月我国南海某海域的海洋磁场观测数据对该算法进行了验证。结果表明,该方法可以滤除大部分的海浪和地磁场噪声,在频段0.4～0.8 Hz范围内海浪的分布明显减少,较大幅度地改善了时域波形,突出了目标产生的磁异常信号,信噪比可提升近11 d B。该方法计算复杂度低,实时性强且易于实现,可为海洋磁异常检测的噪声抑制提供一种有效手段。展开更多
文摘We have performed sequential studies on new types of soft rubber for their application as artificial skin in robots and haptic sensors. Based on a proposed electrolytic polymerization method and novel adhesion technique for rubber and a metal that utilizes a metal complex hydrate, we have developed an MCF rubber sensor. This sensor uses a magnetic compound fluid (MCF), natural rubber (NR-latex) or chloroprene rubber latex (CR-latex), and requires the application of a magnetic field. The potential application of the developed sensor in various engineering scenarios and our daily lives is significant. In this regard, we investigated the effects of γ-irradiation, infrared radiation, microwaves, and a thermal source on the MCF rubber sensor. We established that the MCF rubber is effective enough to be used for power generation of broadband electro-magnetic waves from γ-rays to microwaves, including the range of the solar spectrum, which is the typical characteristic obtained in the present investigation. The remarkable attribute is that the MCF rubber sensor dose is not degraded by γ-irradiation. We also demonstrated the effectiveness of the MCF rubber sensor in energy harvesting.
文摘海洋磁异常检测是海洋科学观测、海底资源勘探、国防安全等领域的重要手段之一,但复杂环境磁场噪声增加了目标磁探测的难度,研究各种磁场噪声机理及抑制方法对于测量精度的提升具有重要意义。该文提出一种磁异常检测噪声抑制算法,利用通用型和无限水深条件下的海浪磁场模型分别对海浪感生磁场噪声进行估算,通过谱减法和小波去噪相结合的方法对磁异常信号中的海浪和地磁场噪声进行滤除。该文利用2015年8月我国南海某海域的海洋磁场观测数据对该算法进行了验证。结果表明,该方法可以滤除大部分的海浪和地磁场噪声,在频段0.4～0.8 Hz范围内海浪的分布明显减少,较大幅度地改善了时域波形,突出了目标产生的磁异常信号,信噪比可提升近11 d B。该方法计算复杂度低,实时性强且易于实现,可为海洋磁异常检测的噪声抑制提供一种有效手段。
