Characterizing hidden solder joint shapes is essential for electronics reliability. Active thermography is a methodology to identify hidden defects inside an object by means of surface abnormal thermal response after applying a heat flux. This research focused on understanding, modeling, and predicting hidden solder joint shapes. An experimental model based on active thermography was used to understand how the solder joint shapes affect the surface thermal response (grand average cooling rate or GACR) of electronic multi cover PCB assemblies. Next, a numerical model simulated the active thermography technique, investigated technique limitations and extended technique applicability to characterize hidden solder joint shapes. Finally, a prediction model determined the optimum active thermography conditions to achieve an adequate hidden solder joint shape characterization. The experimental model determined that solder joint shape plays a higher role for visible than for hidden solder joints in the GACR; however, a MANOVA analysis proved that hidden solder joint shapes are significantly different when describe by the GACR. An artificial neural networks classifier proved that the distances between experimental solder joint shapes GACR must be larger than 0.12 to achieve 85% of accuracy classifying. The numerical model achieved minimum agreements of 95.27% and 86.64%, with the experimental temperatures and GACRs at the center of the PCB assembly top cover, respectively. The parametric analysis proved that solder joint shape discriminability is directly proportional to heat flux, but inversely proportional to covers number and heating time. In addition, the parametric analysis determined that active thermography is limited to five covers to discriminate among hidden solder joint shapes. A prediction model was developed based on the parametric numerical data to determine the appropriate amount of energy to discriminate among solder joint shapes for up to five covers. The degree of agreement between the prediction model and the experimental model was determined to be within a 90.6% for one and two covers. The prediction model is limited to only three solder joints, but these research principles can be applied to generate more realistic prediction models for large scale electronic assemblies like ball grid array assemblies having as much as 600 solder joints.

Maintenance optimisation is essential to achieve cost-efficiency, availability and reliability of supply in electric power systems. The process of maintenance optimisation requires information about the costs of preventive and corrective maintenance, as well as the costs of failures borne by both electricity suppliers and customers. To calculate expected costs, information is needed about equipment reliability characteristics and the way in which maintenance affects equipment reliability. The aim of this Ph.D. work has been to develop equipment reliability models taking the effect of maintenance into account. The research has focussed on the interrelated areas of condition estimation, reliability modelling and maintenance modelling, which have been investigated in a number of case studies. In the area of condition estimation two methods to quantitatively estimate the condition of disconnector contacts have been developed, which utilise results from infrared thermography inspections and contact resistance measurements. The accuracy of these methods were investigated in two case studies. Reliability models have been developed and implemented for SF6 circuit-breakers, disconnector contacts and XLPE cables in three separate case studies. These models were formulated using both empirical and physical modelling approaches. To improve confidence in such models a Bayesian statistical method incorporating information from the equipment design process was also developed. This method was illustrated in a case study of SF6 circuit-breaker operating rods. Methods for quantifying the effect of maintenance on equipment condition and reliability have been investigated in case studies on disconnector contacts and SF6 circuit-breakers. The input required by these methods are condition measurements and historical failure and maintenance data, respectively. This research has demonstrated that the effect of maintenance on power system equipment may be quantified using available data. However, realising the full potential of these methods requires the gathering and utilisation of failure and maintenance data as well as condition measurements to be improved. / QC 20100823

The goal of this thesis is to develop an algorithm to process infrared images and achieve automatic identification of moving subjects with fever. The identification is based on two main features: the distinction between the geometry of a human face and other objects in the field of view of the camera, and the temperature of the radiating object. Infrared thermography is a remote sensing technique used to measure temperatures based on emitted infrared radiation. Applications include fever screening in major public places such as airports and hospitals. Current accepted practice of screening requires people to stay in a line and temperature measurements are carried out for one person at a time. However in the case of mass screening of moving people the accuracy of the measurements is still under investigation. An algorithm constituting of image processing to threshold objects based on the temperature, template matching and hypothesis testing is proposed to achieve automatic identification of fever subjects. The algorithm was first tested on training data to obtain a threshold value (used to discriminate between face and non face shapes) corresponding to a false detection rate of 5%, which in turn corresponds to 85% probability of detection using Neyman-Pearson criterion. By testing the algorithm on several simulated and experimental images (which reflect relevant scenarios characterizing crowded places) it is observed that it can be beneficially implemented to introduce automation in the process of detecting moving subjects with fever.

The increasing demand for polymer matrix composites (PMCs) from the airframe industry raises the issues of productivity, cost and reproducibility of manufactured PMC components. Performance reproducibility is closely related to the manufacturing technique. Resin transfer moulding (RTM) offers the advantage of flexible manufacturing of net-shape PMC components with superior repeatability starting from ready-to-impregnate dry reinforcements. An RTM apparatus was developed for manufacturing PMC plates and demonstrator components representative of actual, PMC components and PMC moulds made and used in the airframe industry. The RTM process developed in this work involved making net-shape dry carbon fibre preforms and impregnating them an epoxy resin, targeting mould applications. Thermal repeatability of different net-shape PMC components manufactured using the RTM apparatus developed in-house was investigated. Effects of bonding an outer copper plate onto the PMC material, targeting mould applications known as integrally heated copper tooling (IHCT), were explored. Heat conduction through the PMC components was studied using simulation models validated by experimental data obtained primarily by thermography. Manufactured PMC components showed good repeatability, particularly in terms of thermal behaviour. The IHCT technique was found to be well suited for mould applications. Expected advantages of thermography were materialised. Finally, the simulation models developed were in good agreement with experimental data.

Vaginismus is defined as a persistent difficulty with vaginal entry, despite a woman’s expressed wish, due to muscle tension, avoidance, and/or pain (Basson et al., 2003). The disorder is classified as a sexual dysfunction; however, there is a paucity of literature on the sexual response, sexual function, and sexual behaviour of women with vaginismus. This thesis research was designed to investigate the differential aspects of sexual health in women with lifelong vaginismus, compared to women with lifelong dyspareunia (pain with intercourse) and women with pain-free intercourse. In the first study, 45 women viewed erotic films, of which one set depicted penetration and the other did not. Physiological sexual arousal was assessed via thermography. Subjective responses to films were assessed with questionnaires. Despite significantly greater negative emotions and lower mental sexual arousal in response to erotic stimuli, women with vaginismus showed genital arousal comparable to the comparison groups. In the second study, 174 women completed an online survey. Women with vaginismus reported more sexual difficulties than the no-pain group and a restricted range of lifetime sexual behaviours and lower frequency of intercourse attempts/experiences than the comparison groups. Women with vaginismus and dyspareunia reported more anxiety during sexual activity and a restricted sexual behaviour repertoire in the previous year and month compared to the no-pain group. Women with vaginismus endorsed more negative cognitions related to penetration, specifically concerns about losing control of their body and the situation. The findings suggest that sexual function difficulties and restricted behavioural repertoire may be associated with negative emotions and maladaptive cognitions. Women with vaginismus may avoid encounters that could lead to intercourse. Alternatively, the negative response to sexual stimuli may be indicative of a more global negative response to sexuality beyond intercourse. The negative penetration-related cognitions, negative responses to sexual stimuli, anxiety during sexual activity, and reduced range and frequency of sexual behaviours of women with vaginismus provide support for the Fear-Avoidance Model of Vaginismus. The impairment in sexual functioning supports the need to move beyond the singular treatment focus of making intercourse possible to an approach that addresses overall sexual rehabilitation.

The goal of this thesis is to develop an algorithm to process infrared images and achieve automatic identification of moving subjects with fever. The identification is based on two main features: the distinction between the geometry of a human face and other objects in the field of view of the camera, and the temperature of the radiating object. Infrared thermography is a remote sensing technique used to measure temperatures based on emitted infrared radiation. Applications include fever screening in major public places such as airports and hospitals. Current accepted practice of screening requires people to stay in a line and temperature measurements are carried out for one person at a time. However in the case of mass screening of moving people the accuracy of the measurements is still under investigation. An algorithm constituting of image processing to threshold objects based on the temperature, template matching and hypothesis testing is proposed to achieve automatic identification of fever subjects. The algorithm was first tested on training data to obtain a threshold value (used to discriminate between face and non face shapes) corresponding to a false detection rate of 5%, which in turn corresponds to 85% probability of detection using Neyman-Pearson criterion. By testing the algorithm on several simulated and experimental images (which reflect relevant scenarios characterizing crowded places) it is observed that it can be beneficially implemented to introduce automation in the process of detecting moving subjects with fever.

La inspección térmica basada en radiación infrarroja provee medidas rápidas, sin contacto y desde una única posición. Su principio básico es el control y estimación de diferencias de temperaturas en una superficie. Conscientes de su aplicabilidad potencial en la evaluación no destructiva ni invasiva, se planteó como objetivo general el efectuar contribuciones al conocimiento y la técnica que, además, tuviesen visos de aplicación real. Ante la variedad de sistemas termográficos existentes, se detectan carencias de unos respecto de otros que limitan su aplicabilidad. Surge la necesidad de compararlos y con ello la definición de parámetros que valoren los beneficios de cada uno de ellos. Igualmente, se requiere una automatización de los procesos de toma de decisión para eludir la subjetividad en el análisis de las secuencias térmicas. Se aportan diferentes propuestas basadas en métodos estadísticos y técnicas transformadas que procuran imágenes únicas donde todos los defectos detectables son localizados. / Thermal inspection based on infrared radiation provides fast and contactless measurements from one location. Its basic principle is the control and assessment of temperature differences on a surface. Given its potential applicability for non-destructive and non-invasive evaluation and testing, the main goal of this thesis is the contribution to the knowledge and technique state of the art, always from a real-application point of view. Considering the wide variety of thermographic systems, several lacks have been detected in some systems limiting their use. It could be interesting to compare these systems and, hence, to establish a set of parameters that objectively evaluates the benefits of any of them. In addition, an automation of the decision process should be provided to avoid the human subjectivity in the analysis of thermographic sequences. Here, different proposals based on statistical methods and data transforms are detailed. They provide unique images where defects are highlighted.

In modern gas turbines parts of combustion chamber and turbine section are under heavy heat load, for example, the rotor inlet temperature is far higher than the melting point of the rotor blade material. These high temperatures causes thermal stresses in the material, therefore it is very important to cool the components for safe operation and to achieve desired component life. But on the other hand the cooling reduces the turbine efficiency, for that reason it is vital to understand and optimize the cooling technique. In this project Thermochromic Liquid Crystals (TLCs) are used to measure distribution of heat transfer coefficient over a scaled up combustor liner section. TLCs change their color with the variation of temperature in a particular temperature range. The color-temperature change relation of a TLC is sharp and precise; therefore TLCs are used to measure surface temperature by painting the TLC over a test surface. This method is called Liquid Crystal Thermography (LCT). LCT is getting popular in industry due to its high-resolution results, repeatability and ease of use. Test model in present study consists of two plates, target plate and impingement plate. Cooling of the target plate is achieved by impingement of air coming through holes in the impingement plate. The downstream surface of the impingement plate is then cooled by cross flow and re-impingement of the coolant air. Heat transfer on the target plate is not uniform; areas under the jet which are called stagnation points have high heat transfer as compare to the areas away from the center of jet. It is almost the same situation for the impingement plate but the location of stagnation point is different. A transient technique is used to measure this non-uniform heat transfer distribution. It is assumed that the plates are semi-infinitely thick and there is no lateral heat transfer in the plates. To fulfill the assumptions a calculated time limit is followed and the test plates are made of Plexiglas which has very low thermal conductivity. The transient technique requires a step-change in the mainstream temperature of the test section. However, in practical a delayed increase in mainstream temperature is attained. This issue is dealt by applying Duhamel’s theorem on the step-change heat transfer equation. MATLAB is used to get the Hue data of the recorded video frames and calculate the time taken for each pixel to reach a predefined surface temperature. Having all temperatures and time values the heat transfer equation is iteratively solved to get the value of heat transfer coefficient of each and every pixel of the test surface. In total fifteen tests are conducted with different Reynolds number and different jet-to-target plate distances. It is concluded that for both the target and impingement plates, a high Reynolds number provides better overall heat transfer and increase in jet-to-target distance decreases the overall heat transfer.

One of the last remaining challenges preventing the laminarization of sweptwings is the control of unstable crossflow vortices. In low-disturbance environments the transition from laminar to turbulent flow on the swept-wing initially takes the path of receptivity, where surface roughness or disturbances in the environment introduce shortwavelength disturbances into the boundary layer. This is followed by development and linear growth of stationary crossflow vortices that modify the mean flow, changing the stability characteristics of the boundary layer. Finally, breakdown to turbulence occurs over a short length scale due to the high-frequency secondary instability. The receptivity mechanism is the least understood, yet holds the most promise for providing a laminar flow control strategy. Results of a 3-year flight test program focused on receptivity measurements and laminar flow control on a 30-degree swept-wing are presented. A swept-wing test article was mounted on the port wing of a Cessna O-2A aircraft and operated at a chord Reynolds number of 6.5 to 7.5 million. Spanwise-periodic, micronsized discrete roughness elements were applied at the leading edge of the swept-wing in order to excite the most unstable crossflow wavelength and promote early boundary layer transition. An infrared camera was used to detect boundary-layer transition due to changes in leading-edge roughness. Combined with the IR camera, a new technique of calibrating surface-mounted hotfilms was developed for making disturbance-amplitude measurements downstream of modulated roughness heights. This technique proved to be effective at measuring disturbance amplitudes and can be applied in future tests where instrumentation is limited. Furthermore, laminar flow control was performed with subcritically-spaced roughness. A 100% increase in the region of laminar flow was achieved for some of the conditions tested here.

The use of non-destructive testing (NDT) methods was needed for the conservation studies of historic timber structures. The aim of this study was to develop combined use of ultrasonic pulse velocity (UPV) measurements and infrared (IR) thermography, together with visual analyses for soundness assessment of timber. An important timber structure in Ankara, Aslanhane Mosque and traditional timber dwellings, in AyaS and istiklal District were selected for in-situ analyses. Representative laboratory samples such as mud brick, fired brick, mud mortar, mud plaster, lime plaster, historic timbers of different species and some new timbers were used for analyses in the laboratory to develop reference data for in-situ analyses. This study has shown that direct and indirect UPV measurements taken parallel to fiber direction were good at estimating the soundness of timber elements. UPV measurements taken from timber samples were affected by atmospheric humidity, at which the timber was in equilibrium with or by its water content, cuts of timber and type of species. Quantitative Infrared thermography (QIRT) was good at soundness assessment and defect inspection of timber. The study showed that, the even or heterogeneous distribution of surface temperatures, different thermal inertia characteristics, reflected by the rates of heating and cooling of materials and their ratios to sound timber were good parameters to assess the state of deterioration of timber elements, dampness problems and the compatibility of neighbouring materials with timber. The joint use of QIRT and UPV methods combined with laboratory data has enhanced the accuracy and effectiveness of the survey.