【摘要】：超聲相控陣全聚焦成像算法具有精度高、全范圍動(dòng)態(tài)聚焦的優(yōu)點(diǎn),但存在的成像耗時(shí)長(zhǎng)問(wèn)題限制了其實(shí)際工業(yè)應(yīng)用。為提高實(shí)際檢測(cè)中相控陣全聚焦成像效率,以常用的楔塊耦合檢測(cè)為例,基于Fermat原理計(jì)算兩層介質(zhì)下各陣元的延遲時(shí)間,建立兩層介質(zhì)相控陣全聚焦成像算法。通過(guò)減少發(fā)射/接收陣元數(shù),以與全矩陣下具有一致的有效孔徑為條件,研究發(fā)射/接收陣元分布的權(quán)重函數(shù),建立兩層介質(zhì)修正稀疏全聚焦算法。以弧形分布的側(cè)邊孔為例,進(jìn)行了兩層介質(zhì)的全聚焦成像及稀疏全聚焦成像試驗(yàn),并討論了稀疏發(fā)射陣列對(duì)缺陷定量精度及全聚焦算法計(jì)算效率的影響。結(jié)果表明:修正稀疏全聚焦算法可在保證成像精度前提下顯著提高成像效率。對(duì)于32陣元換能器,當(dāng)稀疏發(fā)射陣元數(shù)達(dá)到8時(shí),稀疏矩陣相對(duì)于全矩陣的誤差值在5.2%以?xún)?nèi),但計(jì)算效率提高了近4倍。
[Abstract]:The ultrasonic phased array full focus imaging algorithm has the advantages of high accuracy and full range dynamic focusing, but its practical industrial application is limited by the problem of long imaging time. In order to improve the efficiency of phased array full focus imaging in practical detection, taking the commonly used wedge-block coupling detection as an example, based on the Fermat principle, the delay time of each element in two-layer dielectric is calculated, and a two-layer phased array full focus imaging algorithm is established. By reducing the number of transmit / receive elements and taking the effective aperture consistent with the full matrix as the condition, the weight function of the distribution of the transmit / receive elements is studied, and a two-layer dielectric modified sparse full focus algorithm is established. The experiments of full focus imaging and sparse full focus imaging of two layers of media are carried out by taking the side hole of arc distribution as an example. The effect of sparse emission array on the quantitative accuracy of defects and the computational efficiency of the full focus algorithm is discussed. The results show that the modified sparse full focus algorithm can significantly improve the imaging efficiency while ensuring the imaging accuracy. For 32 array element transducers, when the number of sparse emitter elements reaches 8, the error between sparse matrix and full matrix is within 5.2%, but the computational efficiency is improved nearly 4 times.
【作者單位】： 長(zhǎng)沙理工大學(xué)汽車(chē)與機(jī)械工程學(xué)院;北京航空航天大學(xué)機(jī)械工程及自動(dòng)化學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(51205031) 湖南省自然科學(xué)基金(2015JJ4004)資助項(xiàng)目
【分類(lèi)號(hào)】：TG115.285

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