Investigation on the plastic work-heat conversion coefficient of 7075-T651 aluminum alloy during an impact process based on infrared temperature measurement technology

The plastic work-heat conversion coefficient is one key parameter for studying the work-heat conversion under dynamic deformation of materials. To explore this coefficient of 7075-T651 aluminum alloy under dynamic compression, dynamic compression experiments using the Hopkinson bar under four groups of strain rates were conducted, and the temperature signals were measured by constructing a transient infrared temperature measurement system. According to stress versus strain data as well as the corresponding temperature data obtained through the experiments, the influences of the strain and the strain rate on the coefficient of plastic work converted to heat were analyzed.The experimental results show that the coefficient of plastic work converted to heat of 7075-T651 aluminum alloy is not a constant at the range of 0.85–1 and is closely related to the strain and the strain rate. The change of internal structure of material under high strain rate reduces its energy storage capacity, and makes almost all plastic work convert into heat.

Retrieval algorithm of quantitative analysis of passive Fourier transform infrared (FTRD) remote sensing measurements of chemical gas cloud from measuring the transmissivity by passive remote Fourier transform infrared

Passive Fourier transform infrared （FTIR） remote sensing measurement of chemical gas cloud is a vital technology. It takes an important part in many fields for the detection of released gases. The principle of concentration measurement is based on the Beer-Lambert law. Unlike the active measurement, for the passive remote sensing, in most cases, the difference between the temperature of the gas cloud and the brightness temperature of the background is usually a few kelvins. The gas cloud emission is almost equal to the background emission, thereby the emission of the gas cloud cannot be ignored. The concentration retrieval algorithm is quite different from the active measurement. In this paper, the concentration retrieval algorithm for the passive FTIR remote measurement of gas cloud is presented in detail, which involves radiative transfer model, radiometric calibration, absorption coefficient calculation, et al. The background spectrum has a broad feature, which is a slowly varying function of frequency. In this paper, the background spectrum is fitted with a polynomial by using the Levenberg-Marquardt method which is a kind of nonlinear least squares fitting algorithm. No background spectra are required. Thus, this method allows mobile, real-time and fast measurements of gas clouds.

On-Line Measurement of the Chemical Oxygen Demand in Wastewater in a Pulp and Paper Mill Using Near Infrared Spectroscopy

Although near infrared (NIR) spectroscopy has been evaluated for numerous applications, the number of actual on-line or even on-site industrial applications seems to be very limited. In the present paper, the attempts to produce online predictions of the chemical oxygen demand (COD) in wastewater from a pulp and paper mill using NIR spectroscopy are described. The task was perceived as very challenging, but with a root mean square error of prediction of 149 mg/l, roughly corresponding to 1/10 of the studied concentration interval, this attempt was deemed as successful. This result was obtained by using partial least squares model regression, interpolated reference values for calibration purposes, and by evenly distributing the calibration data in the concentration space. This work may also represent the first industrial application of online COD measurements in wastewater using NIR spectroscopy.

A pixel-level local contrast measure for infrared small target detection

Infrared(IR) small target detection is one of the key technologies of infrared search and track(IRST)systems. Existing methods have some limitations in detection performance, especially when the target size is irregular or the background is complex. In this paper, we propose a pixel-level local contrast measure(PLLCM), which can subdivide small targets and backgrounds at pixel level simultaneously.With pixel-level segmentation, the difference between the target and the background becomes more obvious, which helps to improve the detection performance. First, we design a multiscale sliding window to quickly extract candidate target pixels. Then, a local window based on random walker(RW) is designed for pixel-level target segmentation. After that, PLLCM incorporating probability weights and scale constraints is proposed to accurately measure local contrast and suppress various types of background interference. Finally, an adaptive threshold operation is applied to separate the target from the PLLCM enhanced map. Experimental results show that the proposed method has a higher detection rate and a lower false alarm rate than the baseline algorithms, while achieving a high speed.

Infrared radiation method for measuring ice segregation temperature of artificially frozen soils

In order to study the evolution of the freezing fringe and final lenses of frost susceptible soils and advance the understanding of frost heave and mechanism of frost heave control, we used an open one-dimensional frost heave test system of infrared radiation technology, instead of a traditional thermistor method. Temperatures of the freezing fringe and segregated ice were measured in a non-contact mode. The results show that accurate and precise temperatures of ice segregation can be obtained by infrared thermal imaging systems. A self-developed inversion program inverted the temperature field of frozen soils. Based on our analysis of temperature variation in segregated ice and our study of the relationship between temperature and rate of ice segregation in cooling and warming processes during intermittent freezing, the mechanism of decreasing frost heave of frozen soils by controlling the growth of final lenses with an intermittent freezing mode, can be explained properly.

Analysis of Infrared Radiation Characteristics and Penetration Measures of Warhead

Ballistic target recognition occupies a unique and important position in many application fields of target recognition because of its challenge and important position of ballistic missile defense in national security;recognition time of defense system becomes very limited because of ballistic missile high-speed flight;recognition distance of defense system is also due to stealth technology. The integrated application of active jamming and passive decoy greatly increases the difficulty of identification of defense system. Because of its special status and challenge, ballistic target recognition has attracted wide attention of researchers at home and abroad, making it one of the most important issues in infrared target recognition research at home and abroad. In this paper, the infrared characteristics of a ballistic missile warhead target/decoy are analyzed, and the corresponding penetration measures are put forward according to the analysis results.

Design and Realization of Infrared Telecontrol Code Measuring Device

The paper mainly introduces concrete design of the hardware and program steps of Infrared Telecontrol Code Measuring Device based on AT89C51RC. In addition, it also gives out the design circuit of infrared transmitter and infrared receiver and the typical design circuit of the system, and the application method as well. Through particularly researching on sending and receiving technology of in- frared, a precise method decoding the signal send by infrared controller and its circuit is designed.

Cross-interference correction and simultaneous multi-gas analysis based on infrared absorption

In this paper, we present simultaneous multiple pollutant gases （CO2, CO, and NO） measurements by using the non-dispersive infrared （NDIR） technique. A cross-correlation correction method is proposed and used to correct the cross-interferences among the target gases. The calculation of calibration curves is based on least-square fittings with third-order polynomials, and the interference functions are approximated by linear curves. The pure absorbance of each gas is obtained by solving three simultaneous equations using the fitted interference functions. Through the interference correction, the signal created at each filter channel only depends on the absorption of the intended gas. Gas mixture samples with different concentrations of CO2, CO, and NO are pumped into the sample cell for analysis. The results show that the measurement error of each gas is less than 4.5%.

Thermal Performance of Building Roof with Infrared Reflective Coatings

This paper investigated the applicability and effects of infrared reflective coating on energy consumption of factory building in hot summer and warm winter zone.It first resorted to theoretical calculation,which demonstrated the beneficial effects of infrared reflective coating on reducing building energy consumption.Then it analyzed a field measurement done on two identical rooms respectively with ordinary coated roof and infrared reflective coated roof from November 2006 to October 2007,on a 24h basis.The measured data include exterior and interior roof surface temperature,indoor air temperature,and indoor globe temperature.The related weather data is from a weather station near the measured area.The continuous measurement has been accomplished in southern China,and the measured data indicate that roof surface temperature and heat gain are significantly decreased in summer while slight negative effects in winter are induced by adopting infrared reflective coating.Thus it is simple and applicable to reduce building energy consumption in this area by applying infrared reflective coating.Regress equation between reduced roof thermal property,such as surface temperature and heat gain,and reduction in absorbed solar radiation shows their highly linear relationship.Based on the measured data,it is estimated that the reduced power consumption is 3.45 kWh/m2·month in June.

A low-cost in-situ CO_(2) sensor based on a membrane and NDIR for long-term measurement in seawater

The multi-point simultaneous long-term measurement of CO_(2) concentration in seawater can provide more-valuable data for further understanding of the spatial and temporal distribution of CO_(2).Thus,the requirement for a low-cost sensor with high precision,low power consumption,and a small size is becoming urgent.In this work,an in-situ sensor for CO_(2) detection in seawater,based on a permeable membrane and non-dispersive infrared(NDIR)technology,is developed.The sensor has a small size(Ф66 mm×124 mm),light weight(0.7 kg in air),low power consumption(<0.9 W),low cost(<US$1000),and high-pressure tolerance(<200 m).After laboratory performance tests,the sensor was found to have a measurement range of(0–2000)×10^(-6),and the gas linear correlation R^(2) is 0.99,with a precision of about 0.98%at a sampling rate of 1 s.A comparison measurement was carried out with a commercial sensor in a pool for 7 days,and the results showed a consistent trend.Further,the newly developed sensor was deployed in Qingdao nearshore water for 35 days.The results proved that the sensor could measure the dynamic changes of CO_(2) concentration in seawater continuously,and had the potential to carry out long-term observations on an oceanic platform.It is hoped that the sensor could be applied to field ocean observations in near future.

A Differential Optical Absorption Spectroscopy Method for X_(CO_2) Retrieval from Ground-Based Fourier Transform Spectrometers Measurements of the Direct Solar Beam

A differential optical absorption spectroscopy （DOAS）-like algorithm is developed to retrieve the column-averaged dry- air mole fraction of carbon dioxide from ground-based hyper-spectral measurements of the direct solar beam. Different to the spectral fitting method, which minimizes the difference between the observed and simulated spectra, the ratios of multiple channel-pairs--one weak and one strong absorption channel--are used to retrieve Xc02 from measurements of the shortwave infrared （SWIR） band. Based on sensitivity tests, a super channel-pair is carefully selected to reduce the effects of solar lines, water vapor, air temperature, pressure, instrument noise, and frequency shift on retrieval errors. The new algorithm reduces computational cost and the retrievals are le^s sensitive to temperature and H20 uncertainty than the spectral fitting method. Multi-day Total Carbon Column Observing Network （TCCON） measurements under clear-sky conditions at two sites （Tsukuba and Bremen） are used to derive Xc02 for the algorithm evaluation and validation. The DOAS-like results agree very well with those of the TCCON algorithm after correction of an airmass-dependent bias.

An Experimental System Development for Head Posture Estimation Based on 3-D Images Measurement

Although automobile is an indispensable vehicle to modern life, it also serves as a social problem with a big traffic accident. Among the reasons of traffic accidents, careless driving accounts for the largest part. So in order to avoid the careless driving, a system which can measure the posture of a driver and warns driver to drive carefully in the case of looking aside is necessary. Although the image measurement method is used broadly, there is a problem on which measurement accuracy is influenced by environment light, makeup of the driver, etc. in the general method based on the two-dimensional image. Therefore, in this study, we propose an image measurement method to obtain the head posture of driver. First we use three-dimensional measurement method which based on the infrared pattern projection to get 3-D information of head, and then we calculate the angle for faces. In this paper, we explain the composition method of an experiment system, and the results of head posture measurement experiment.

Artificial intelligence improves accuracy, efficiency, and reliability of a handheld infrared eccentric autorefractor for adult refractometry

AIM: To evaluate the accuracy, efficiency, and reliability of a handheld infrared eccentric autorefractor(h ICA) with artificial intelligence(AI) by comparing its refraction measurements to those recorded using h ICA and a clinical table-mounted automatic refractor(TAR).METHODS: A cross-sectional study using three optometers, including h ICA with or without AI and TAR, for refractometry of adults(aged 19-49 years old) with no signs of ocular disease or trauma in the absence of cycloplegia. Right and left eye refraction data were recorded, including the spherical equivalent(SE), diopter of spherical power(DS), diopter of cylindrical power(DC) decomposed into vectors J0 and J45, and measurement times. To avoid analytical difficulties associated with the interdependence of observations between eyes from the same individual, the Generalized Estimation Equation was used to compare the SE, DS, J0 and J45 measurements, and the times thereof, among the different groups. The intraclass correlation coef f icient(ICC) and Spearman’s rank correlation coefficient were used to evaluate correlations among the measurements recorded by the three different instruments. Bland-Altman were used to analyze the precision of the equipment by the agreement. RESULTS: A total of 70 patients(140 eyes;mean age: 31.37 y;range: 19-49 y) were assessed using refractometry. In a brightly lit environment, there was no significant difference between the mean SE recorded using TAR and that recorded using h ICA with AI or without AI(both P>0.05). In an intense-light environment, h ICA equipped with AI showed a better detection rate than without AI. Light intensity had a greater effect on dioptric measurements recorded using h ICA without AI(P<0.001) than on those recorded using the one equipped with AI(P<0.05). Measurement times varied significantly between the different light intensities and instruments(P<0.05).CONCLUSION: For the normal human eyes, AI may improve the accuracy, efficiency, and reliability of measurements recorded using h ICA in various light environments.

Direct measurement of electrocaloric effect in P(VDF-TrFE-CFE)film using infrared imaging

Poly(vinylidene fluoride-trifluoroethylene-chlorofluoroethylene)P(VDF-TrFE-CFE)is a relaxor ferroelectric polymer,which exhibits a temperature-independent electrocaloric effect at room temperature.In this work,the electrocaloric effect in P(VDF-TrFE-CFE)film was directly analysed using infrared imaging.P(VDF-TrFE-CFE)64.8%/27.4%/7.8%(in mole)film of(15±1)mm thickness was deposited on polyethylene naphthalate substrate.Direct ECE of P(VDF-TrFE-CFE)film was measured from 15 to 35
C at different electric fields.A maximum adiabatic temperature change(DTad)of 3.58 K was measured during the cooling cycle at a field of 100 V/mm at 30
C.Finite element analysis of temperature dissipation through the sample estimated that the actual temperature change within P(VDF-TrFE-CFE)film was 4.3 K.Despite the thermal mass of the substrate,a substantial ECE was observed in P(VDF-TrFE-CFE)films.This electrocaloric terpolymer composition could be of interest for electrocaloric cooling applications.

基于红外辐射测温法的焊头动态高速真温测量系统研制

温度是用来表征物体特性的一个重要的基本参数,被广泛应用于金属加工、生产生活、航空航天等各个领域,温度测量的准确与否对每个行业都有着至关重要的影响。随着电子设备的尺寸不断微型化以及各种可穿戴智能设备的普及和发展,小型化成为了电子元件技术水平的一个重要技术指标,所以电子元器件也一直朝着小尺寸、高集成化方向发展,而其焊接温度的波动引起的产品良品率也在不断降低。因此,如何实现电子元器件焊接过程中焊头温度的实时获取,已成为众多相关企业急需研究的课题。基于晶体管式焊接电源的工作特点,从分析焊头的结构特性入手,利用焊头的红外光谱辐射特性,设计了一种激光瞄准式的光学系统,采用朗伯体法对焊头进行温度测量,从而得到焊头工作时的实时真温。整个温度测量系统由硬件系统部分和软件系统部分构成。其中,硬件系统包括光学系统的设计、 I/V转换及放大电路和上位机的高速数据采集系统。软件系统主要包括上位机系统界面的设计。上位机软件采用LabVIEW进行程序设计,主要包括AD采集卡的配置与驱动、数据滤波、零点测量、温度标定、温度计算、实时温度曲线和数据存储。在系统建立、软件调试完毕后,采用标准空腔黑体炉对测温系统进行了校准。首先,利用整体黑体法对焊头工作时的发射率进行了试验,结果表明,在氧化和非氧化状态下,其发射率与文献数据基本一致。然后利用该发射率值,计算出了焊头上小孔的空腔黑体发射率。最后,利用恒流晶体管式焊接电源进行了系统稳定性和重复性实验。分析该方法的不确定度,得出该方法的总体不确定度在3%以内。通过对测温系统的标定和配置,该系统还可以应用在其他需要高速精确测温的场景。

不同品牌红外耳温计在儿童患者中的临床应用差异性研究

目的:探讨不同品牌红外耳温计在儿童患者中的临床应用差异性,以指导合理使用红外耳温计。方法:随机选取2023年5月至2023年7月在浙江大学医学院附属儿童医院接受治疗的164例住院及门诊患儿,采用进口(品牌A)、国产(品牌B)和合资(品牌C)3种不同品牌的红外耳温计,以同样的测量方式测量患儿耳温,比较不同品牌耳温计在不同年龄段患儿中测量的温度和时间的差异性。结果:测量温度上,A测量为(37.54±0.931)℃,B为(37.219±0.952)℃,C为(37.329±0.961)℃;测量时间上,A测量时间为(2.34±0.236)s,B为(1.314±0.269)s,C为(2.051±0.173)s。3种耳温计测量温度及时间比较,差异均有统计学意义(F=5.007,264.988,P<0.05)。且3种耳温计测量≤3个月龄患儿的温度,差异有统计学意义(F=3.868,P<0.05);在3月龄以上患儿中无差异。结论:针对不同的年龄段患儿,医疗机构可依据使用成本高低、测量时间快慢等因素综合考虑进行选择。对3个月以上年龄段患儿,选择成本更低、测量时间更快的品牌B红外耳温计;对0~3月龄患儿,建议选择温度测量值更为准确的品牌A红外耳温计。

喷油润滑内齿圈外圆面红外测温及误差分析

高速重载人字齿轮箱的摩擦功率损失会转换成为温升,齿面温度测量是评价齿轮箱润滑和冷却设计的重要手段。针对某人字齿轮箱中内齿圈外圆面温度的在线实时准确测量需求,提出了一种基于红外测温仪的旋转齿轮表面温度测量方法,并分别设计搭建了相关测试试验装置。首先,分析了基于红外测温仪的旋转齿轮表面温度测量误差的影响因素;其次,通过试验对待测齿面的发射率进行标定;最后,开展了不同转速工况下的喷油润滑齿轮表面温度测量试验,并分析了吹气压力和吹气温度对红外测温误差的影响。研究结果表明:待测齿面喷涂黑色哑光漆后的标定发射率为0.96,而红外测温光路上的光学镜片会使红外测温值低2℃左右;带有空气吹扫管的红外测温仪可以在线实时测量旋转内齿圈外圆面的温度,且红外与热电偶测温值的最大相对误差不超过7%;选择合适的空气吹扫压力和吹扫温度,可以进一步减小红外测温误差。

18CrNiMo7-6钢发射率值标定及外圆磨削温度研究

为研究齿轮钢外圆横向磨削过程中工件温度受加工参数变化的影响,以18CrNiMo7-6齿轮钢作为工件材料,CBN砂轮作为磨具进行试验,使用红外热像仪对磨削过程温度进行检测。提出一种增设气幕装置的热辐射发射率值标定方案,通过气幕生成的高速气流减缓外界空气进入加热炉,防止标定过程中试样被氧化,保证高温条件下标定得到的发射率值的准确度;依据检测结果,分析工件转速v_(w)、工件每转的磨削深度f_(a)、砂轮磨粒粒度d_(g)、砂轮直径d_(s)和磨削宽度b对温度的影响。结果表明:f_(a)对温度变化影响最显著。通过拟合得到磨削温度与试验参数间的经验公式,其误差为9.27%。将磨削温度的试验测量结果与运用移动热源理论、瑞利分布模型和干式磨削热分配比模型进行理论推导的结果作对比,偏差为8.51%。

用于定标海表测温辐射计的镓黑体辐射源

设计了镓黑体对海表测温辐射计进行定标。首先,介绍了该黑体的结构与工作原理,对黑体发射率进行仿真,并开展发射率的测量实验,讨论其不确定度的来源。然后,开展了电加热和水浴加热下镓的相变复现实验,讨论电加热功率对镓相变复现的影响。最后,通过红外海面温度自主辐射计实验对该黑体进行验证。结果表明:该黑体基于蒙特卡罗软件仿真的发射率优于0.9988,实验测得的黑体辐射源发射率结果与仿真结果较为吻合,测量重复性(标准偏差)达0.1%;相变温度坪台的复现性均优于±0.03 K;相变温坪附近时,红外海面温度自主辐射计和FLUKE 1524测温仪测得的黑体腔附近温度的数据差值均在±0.15 K以内。设计的镓黑体可以应用到海表测温辐射计进行校准,为发展自主知识产权的海表测温设备提供校准源。

基于红外摄像装置的Triniti呼吸门控系统的设计和性能验证

目的通过分析红外摄像装置Triniti呼吸门控系统和腹压带方式下采集的呼吸运动波形及4DCT影像一致性,验证Triniti呼吸门控系统的临床可行性。方法利用CIRS 18023-A呼吸运动模体及配套的CIRS Motion Control软件,导入仿真标准呼吸运动及真实患者的呼吸运动曲线,模拟人体肺部呼吸运动的周期、幅度、频率等,产生不同的呼吸运动模型,并分别用基于腹压带和Triniti呼吸门控系统2种呼吸运动信号触发CT扫描,分析2种装置触发下的4DCT影像一致性,最后根据Triniti系统追踪的呼吸运动,设置门控范围,实现门控治疗。结果2种呼吸运动信号探测装置采集到的呼吸运动波形曲线相关性>0.8(P<0.001),4DCT影像各时相感兴趣区域测量度差异性值为(0.065±0.069)cm,差异无统计学意义(P>0.05)。结论基于红外摄像装置的Triniti呼吸门控系统追踪呼吸精度高,可实现临床呼吸门控治疗,从而有效减少呼吸运动对放射治疗造成的影响。