A substantial fraction of the automotive assembly comprises formed sheet metal parts. To reduce vehicle weight and improve fuel economy, total sheet metal mass should be minimized without compromising the structural integrity of the vehicle. Excessive deformation contributes to tearing or buckling of the metal, and therefore a forming limit is investigated experimentally to determine the extent to which each particular material can be safely strained. To assess sheet metal formability, this thesis proposes a novel framework for sheet metal surface strain measurement using a scalable dot-grid pattern. Aluminum sheet metal samples are marked with a regular grid of dot-features and imaged with a close-range monocular vision system. After forming, the sheet metal samples are imaged once again to examine the deformation of the surface pattern, and thereby resolve the material strain. Grid-features are localized with sub-pixel accuracy, and then topologically mapped using a novel algorithm for deformation-invariant grid registration. Experimental results collected from a laboratory setup demonstrate consistent robustness under practical imaging conditions. Accuracy, repeatability, and timing statistics are reported for several state-of-the-art feature detectors. / Thesis / Master of Applied Science (MASc)

京都大学 / 新制・課程博士 / 博士(人間健康科学) / 甲第24809号 / 人健博第115号 / 新制||人健||8(附属図書館) / 京都大学大学院医学研究科人間健康科学系専攻 / (主査)教授 中尾 恵, 教授 岡 昌吾, 教授 浅野 雅秀 / 学位規則第4条第1項該当 / Doctor of Human Health Sciences / Kyoto University / DFAM

The application of piezoelectric sensors such as the ultrasonic transducer has significantly enhanced the fields of nondestructive evaluation (NDE). Their application of piezoelectric materials allows for the sensing of low energy, high frequency acoustic emission (AE) events such as fatigue cracking in metals and delamination in composites. Utilizing the physical characteristics of these AE waves, the location of these structural defects can then be source located by means of time-of-flight trilateration. The real time sensing of such events has led to the field of structural health monitoring (SHM) and has revolutionized NDE. Furthermore, with the application of modern micro-electromechanical system-based (MEMS) technology, the fields of NDE and SHM can be improved greatly, and sensing instrumentation simplified. A novel piezoresistive-based MEMS strain sensor is presented as this improvement to NDE and SHM. The ultrathin silicon membrane-based (USM) strain sensor's ability to capture an AE signal is demonstrated by a Hsu-Nielsen source and shows comparable frequency content to a commercial piezoceramic ultrasonic transducer. To the knowledge of the authors, this makes the USM strain sensor the first known piezoresistive strain sensor capable of recording low energy AE. The novel improvements to NDE and SHM arise from the sensor's low minimum detectable strain and wide frequency bandwidth, enabling a dual-use application of both AE and static strain sensing. The USM sensor's ability to document quasi-static bending is demonstrated and once again compared with an ultrasonic transducer, which provides no significant response. This dual-use application is proposed to effectively combine the uses of both strain and ultrasonic transducer sensor types within one sensor, lending itself novel and useful to NDE and SHM. The potential benefits include enhanced sensitivity, reduced sensor size and cost, and reduced instrumentation complexity. / Master of Science / Visual inspection for cracks and defects has long been staples of assessing structural health throughout human history. These surface imperfections are an obvious hindrance to structural integrity and routine observation and inspection is needed to ensure a structure's safety. With the progression of technology and the discovery of piezoelectric materials, more advanced methods have been devised to detect and source locate not only surface level but sub-surface cracking. This has been accomplished through the use of piezoelectric ultrasonic transducers to monitor the propagation of acoustic emission (AE) vibrations, which are the result of energy redistribution by events such as cracking. The remote monitoring of AE events has led to the growth of the nondestructive evaluation (NDE) field, where these cracks and defects can be located by the detection of their AE source. These transducers, however, are met with limitations in their applications. Operating off the piezoelectric effect allows for a superb response to low energy, high frequency excitation characteristic of AE, but results in no response to quasi-static strain measurements, such as that of a slowly applied bending load on a plate. In the work herein, modern micro-electromechanical system (MEMS) based technology is utilized to devise a sensor capable of both AE and static strain measurements. The dual sensing of both of these measurements can allow for the source location of cracking events along with the monitoring of structure strain, effectively combining the use of two sensors into one. This dual-application use can have a great impact on the evaluation of critical structures like bridges and aircraft and simplify and reduce costs inherent to nondestructive evaluation.

<p>  </p> <p>There is a clear need for more research detailing how to manage birds in cage-free housing systems. Although management guides for birds in cage-free systems focus on adult hens, previous research has established that the pullet phase is important to success later in life. Past research regarding the effects of stocking density on behavior has focused on caged adult hens, and often deals with confounding factors such as group size, limiting its interpretation. The goal of this project was to investigate the impacts of stocking density on behaviors of pullets in cage-free housing systems. </p> <p>A 2x2 randomized complete block design with two strains (Lohmann LB-Lite (Brown) and Lohmann LSL-Lite (White)) and two stocking densities (619.1 (high stocking density; HSD) and 1,248.9 (low stocking density, LSD) cm2/bird) was utilized. Videos of 6 pens for each strain by stocking density combination (59 birds/pen, n = 1416) were recorded for 2 consecutive days at 12 and 16 weeks of age (WOA). Behaviors of interest were recorded every 10 minutes for 1 hour in the morning, afternoon, and evening. Most behavior data were analyzed using a mixed model, PROC GLIMMIX, in SAS 9.4 with main effects of stocking density (SD), strain, age and time of day (TOD). Behaviors that were infrequent or that could not be transformed to meet normality assumptions were analyzed as binomial data (occurred or did not occur) and odds ratios were calculated using PROC LOGISTIC.</p> <p>Stocking density influenced every behavior examined. The LSD had fewer birds that performed eating and drinking behaviors, but more birds performed inactive, locomotion, exploratory and comfort behaviors compared to the HSD. Additionally, birds in the HSD were more likely to participate in pecking and piling behaviors compared to LSD. These results suggest that LSD may provide welfare benefits to the pullets. However, producers may face economic barriers when attempting to decrease stocking densities. Further research is needed in this area, but these results could help to achieve a stocking density that maximizes the range of behaviors pullets are able to perform within the scope of a producer’s resources. Future directions may consider collecting behavior data across the life cycle in addition to examining the relationships among behavior and welfare parameters such as feather quality, foot condition and keel bone fractures.</p>

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The thesis focus on simulating one-dimensional flame subjected to a microwave and nanosecond pulse. We modified open-source codes Cantera and Ember to perform one-dimensional flame simulations for steady and unsteady state, respectively. Our model is computationally efficient to perform simulations in a range of parameters such as electric field strength, flow strain rate, and pulse repetitive frequency. Our model for the one-dimensional flame subjected to a microwave predicted flame speed enhancement more accurately than the previous studies. <br>

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