红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2015年
7期
2050-2056
,共7页
陈林%杨立%范春利%石宏臣%赵小龙
陳林%楊立%範春利%石宏臣%趙小龍
진림%양립%범춘리%석굉신%조소룡
热障涂层%无损检测%脱粘缺陷%反演识别%脉冲相位
熱障塗層%無損檢測%脫粘缺陷%反縯識彆%脈遲相位
열장도층%무손검측%탈점결함%반연식별%맥충상위
thermal barrier coating%non-destructive testing%bonding defect%inversion identification%pulse phase
为了促进热障涂层红外无损检测的定量检测研究,建立了轴对称圆柱坐标下的热障涂层脉冲相位检测模型,针对研究模型,采用有限体积法求解出脉冲热激励下的温度场,将温度进行FFT变化得到相位分布,分析了不同因素对检测表面相位差分布的影响。在此基础上,采用LM算法研究了轴对称圆柱坐标下对热障涂层厚度的大小和脱粘缺陷的位置进行定量化检测的方法,分析了不同因素对检测结果的影响。研究结果表明:当不存在测温误差时,不同的初始假设、采样窗口时间下都能得到很高的识别精度,其对定量识别的影响不大,当测温仅存在均匀误差时,涂层厚度和脱粘缺陷位置识别精度都很高,均匀误差对识别无影响,识别结果的精度会随测温随机误差的增大而降低,但在较大的随机误差下仍有较高的识别精度。
為瞭促進熱障塗層紅外無損檢測的定量檢測研究,建立瞭軸對稱圓柱坐標下的熱障塗層脈遲相位檢測模型,針對研究模型,採用有限體積法求解齣脈遲熱激勵下的溫度場,將溫度進行FFT變化得到相位分佈,分析瞭不同因素對檢測錶麵相位差分佈的影響。在此基礎上,採用LM算法研究瞭軸對稱圓柱坐標下對熱障塗層厚度的大小和脫粘缺陷的位置進行定量化檢測的方法,分析瞭不同因素對檢測結果的影響。研究結果錶明:噹不存在測溫誤差時,不同的初始假設、採樣窗口時間下都能得到很高的識彆精度,其對定量識彆的影響不大,噹測溫僅存在均勻誤差時,塗層厚度和脫粘缺陷位置識彆精度都很高,均勻誤差對識彆無影響,識彆結果的精度會隨測溫隨機誤差的增大而降低,但在較大的隨機誤差下仍有較高的識彆精度。
위료촉진열장도층홍외무손검측적정량검측연구,건립료축대칭원주좌표하적열장도층맥충상위검측모형,침대연구모형,채용유한체적법구해출맥충열격려하적온도장,장온도진행FFT변화득도상위분포,분석료불동인소대검측표면상위차분포적영향。재차기출상,채용LM산법연구료축대칭원주좌표하대열장도층후도적대소화탈점결함적위치진행정양화검측적방법,분석료불동인소대검측결과적영향。연구결과표명:당불존재측온오차시,불동적초시가설、채양창구시간하도능득도흔고적식별정도,기대정량식별적영향불대,당측온부존재균균오차시,도층후도화탈점결함위치식별정도도흔고,균균오차대식별무영향,식별결과적정도회수측온수궤오차적증대이강저,단재교대적수궤오차하잉유교고적식별정도。
In order to promote quantitative detection of thermal barrier coating by pulse phase, the pulse phase nondestructive testing model of thermal barrier coating in axisymmetric cylindrical coordinates was established. Temperature field was solved by using a finite volume method in the heat pulse excitation. And the phase of the model was accepted by FFT. The impacts of different factors on the phase were analysised. Based on this, quantitative detection of coating thickness and position of the bonding defect of thermal barrier coating were researched in axisymmetric cylindrical coordinates by using the method of LM. The impacts of different factors on quantitative detection were analysised. The research results show that the recognition accuracy of results are high in different initial assumption and different modulation time when there is no measurement error, the effect of initial assumption and modulation time on quantitative recognition is little, the recognition accuracy of results are high in different uniform temperature measurement error, uniform temperature error would not change the result of recognition, the accuracy of the identification results would decrease with the increase of the random temperature error,but there is still a high recognition accuracy under large random temperature error, the effectiveness of the quantitative identification method was proved.