發(fā)布時(shí)間：2018-06-27 08:56

  本文選題：復(fù)合材料 + Z-pin增強(qiáng)　； 參考：《南京航空航天大學(xué)》2017年碩士論文

【摘要】：Z-pin增強(qiáng)技術(shù)通過(guò)在未固化層合結(jié)構(gòu)中植入適量體積分?jǐn)?shù)的Z-pin(0.5%~4.0%)來(lái)提高復(fù)合材料的層間斷裂韌性。該技術(shù)對(duì)復(fù)合材料面內(nèi)性能影響較小且能大幅度提高復(fù)合材料的層間性能,實(shí)用性高且成本較低,因而得到了廣泛關(guān)注。在Z-pin植入與后固化過(guò)程中,由于工藝的不穩(wěn)定性,得到的復(fù)合材料結(jié)構(gòu)不可避免的會(huì)存在各種類型的缺陷,對(duì)其進(jìn)行無(wú)損檢測(cè)是保障其質(zhì)量的重要方法。本研究基于紅外熱像無(wú)損檢測(cè)技術(shù),采用實(shí)驗(yàn)與仿真技術(shù)相結(jié)合的方法分析了Z-pin增強(qiáng)復(fù)合材料典型缺陷對(duì)其傳熱性能的影響,針對(duì)紅外熱像圖邊緣模糊和Z-pin結(jié)構(gòu)的特點(diǎn),應(yīng)用不同算法研究了缺陷邊緣細(xì)節(jié)強(qiáng)化技術(shù)。本研究主要工作如下:(1)通過(guò)自制Z-pin增強(qiáng)復(fù)合材料與破壞性試驗(yàn),研究了Z-pin增強(qiáng)復(fù)合材料在制造與服役過(guò)程中出現(xiàn)的典型缺陷與損傷,并對(duì)其結(jié)構(gòu)缺陷與損傷的紅外檢測(cè)可行性進(jìn)行了分析。(2)本研究以Z-pin增強(qiáng)碳纖維復(fù)合材料層合板為檢測(cè)對(duì)象,采用有限元軟件ANSYS高級(jí)分析技術(shù)APDL建立了含不同缺陷類型的有限元模型,通過(guò)提取最大溫差與最大對(duì)比度等可檢測(cè)信息參數(shù),分析了不同尺寸富樹脂區(qū)、不同深度的斷裂缺損Z-pin、不同傾斜程度的Z-pin對(duì)層合結(jié)構(gòu)整體導(dǎo)熱行為及其表面溫度分布的影響,有限元模擬結(jié)果為進(jìn)一步的檢測(cè)實(shí)驗(yàn)提供了技術(shù)支撐與理論支持。(3)應(yīng)用紅外熱像無(wú)損檢測(cè)技術(shù)對(duì)自制帶有不同缺陷類型的Z-pin增強(qiáng)碳纖維復(fù)合材料層合板試件進(jìn)行了檢測(cè)研究。檢測(cè)結(jié)果表明:紅外熱像無(wú)損檢測(cè)技術(shù)對(duì)Z-pin增強(qiáng)復(fù)合材料典型缺陷具有良好的檢測(cè)效果,缺陷較為清晰,該技術(shù)可應(yīng)用于Z-pin增強(qiáng)復(fù)合材料結(jié)構(gòu)的無(wú)損檢測(cè)中。(4)針對(duì)紅外熱像圖邊緣模糊、噪聲干擾大的特點(diǎn),應(yīng)用不同算法對(duì)缺陷邊緣進(jìn)行了強(qiáng)化處理,研究了一種基于缺陷中心點(diǎn)灰度閾值的旋轉(zhuǎn)邊緣跟蹤增強(qiáng)技術(shù)。結(jié)果表明:該算法在邊緣強(qiáng)化處理方面優(yōu)于傳統(tǒng)的經(jīng)典微分算子,缺陷定位準(zhǔn)確、輪廓清晰、邊緣閉合性好。
[Abstract]:Z-pin reinforcement technique improves the interlaminar fracture toughness of the composites by inserting appropriate volume fraction of Z-pin (0.5% and 4.0%) into the unsolidified laminated structure. This technique has little influence on in-plane properties of composites and can greatly improve the interlaminar properties of composites. It has high practicability and low cost, so it has been paid more attention to. During the process of Z-pin implantation and post-curing, the structure of the composite material will inevitably have various kinds of defects due to the instability of the process. Nondestructive testing is an important method to ensure the quality of the composite material. Based on the infrared thermal image nondestructive testing technique, the influence of typical defects of Z-pin reinforced composite on its heat transfer performance is analyzed by combining experimental and simulation techniques, aiming at the characteristics of infrared thermal image edge blur and Z-pin structure. The defect edge detail enhancement technique is studied by using different algorithms. The main work of this study is as follows: (1) the typical defects and damages of Z-pin reinforced composites during manufacture and service were studied by self-made Z-pin reinforced composites and destructive tests. The feasibility of infrared detection of structural defects and damage was analyzed. (2) the Z-pin reinforced carbon fiber composite laminates were used as the detection objects. The finite element model with different defect types was established by using the advanced analysis technology APDL of ANSYS. By extracting detectable information parameters such as maximum temperature difference and maximum contrast, the resin rich regions with different sizes were analyzed. The effect of Z-pinand Z-pin with different depth on the overall thermal conductivity and surface temperature distribution of laminated structure. The finite element simulation results provide technical support and theoretical support for further testing experiments. (3) the infrared thermal image nondestructive testing technique is used to detect Z-pin reinforced carbon fiber laminates with different defect types. The results show that the infrared thermal image nondestructive testing technique has a good effect on the typical defects of Z-pin reinforced composites, and the defects are relatively clear. This technique can be used in nondestructive testing of Z-pin reinforced composite structures. (4) aiming at the characteristics of infrared thermal images with blurry edges and large noise interference, different algorithms are used to strengthen the defect edges. A rotating edge tracking enhancement technique based on gray threshold of defect center is studied. The results show that the proposed algorithm is superior to the classical differential operator in edge enhancement, and the defect location is accurate, the contour is clear and the edge is closed.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TB302

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