In recent times a number of workers have pointed out the importance of microcrack formation to the machining process and to surface integrity requirements of machined components. Microcracks have been identified within the shear zone and their presence used to explain some aspects of the chip formation process. It is clear that microcracks represent a major feature in the shear zone in machining, particularily when the workpiece is a two-phase material. The presence of microcracks in the machined surface was reported some fifteen years ago and confirmed recently. A preliminary study carried out on a number of materials machined under various cutting conditions has indicated that microcracks are produced in machined surfaces as a result of machining. However, to the present time there has been no systematic study of the formation of microcracks in the machined surface, and their extent, dimensions, and the conditions under which they are produced are completely unknown. In so far as microcracks may affect the fatigue, corrosion and other properties of the machined surface, it is important that a method of quantifying microcrack formation should be found. A feasibility study has been carried out which has led to the use of the transmission electron microscope as a tool to quantify microcrack formation in the machined surface. A technique based on transmission electron microscopy is described in the present thesis along with its application. Two new parameters, the microcrack area ratio "Ma" and the microcrack density "Md" are introduced and defined. The extent of microcrack formation in the machined surface is studied as a result of varying: (i)- cutting speed, (ii)- undeformed chip thickness, (iii)- rake angle, (iv)- workpiece hardness. The results are discussed and conclusions drawn. Finally, a number of suggestions for future work are formulated which mark the start of a whole new area of research in surface microcracking.

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International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada / Benefiting from the Automotive world, Micro-Machined Sensor Technology moves into the Military arena with greater accuracy at a reduced price tag. Advances in Micro-Machining have produced silicone cantilever beam Sensors which meet or exceed some Military environmental specifications while providing a higher overall accuracy, compared to traditional cantilever beam designs. There are several companies such as Motorola, Analog Devices, Sensym, Silicone Designs, and NovaSensor to name a few who have established product lines in Accelerometers and Pressure Transducers. This paper describes an experience utilizing micro-technology Accelerometers which were designed to replace older technology sensors.

Neural Network models got the attention of the scientific community for their increasing accuracy in predictions and good emulation of some human tasks. This led to extensive enhancements in their architecture, resulting in models with fast-growing memory and computation requirements. Due to hardware constraints such as memory and computing capabilities, the inference of a large neural network model can be distributed across multiple devices by a partitioning algorithm. The proposed framework finds the optimal model splits and chooses which device shall compute a corresponding split to minimize inference time and energy. The framework is based on PipeEdge algorithm and extends it by not only increasing inference throughput but also simultaneously minimizing inference energy consumption. Another thesis contribution is the augmentation of the emerging technology Compute-in-memory (CIM) devices to the system. To the best of my knowledge, no one studied the effect of including CIM, specifically DNN+NeuroSim simulator, devices in a distributed inference. My proposed framework could partition VGG8 and ResNet152 on ImageNet and achieve a comparable trade-off between inference slowest stage increase and energy reduction when it tried to decrease inference energy (e.g. 19% energy reduction with 34% time increase) and when CIM devices were augmenting the system (e.g. 34% energy reduction with 45% time increase).

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Les cMUT sont des microsystèmes principalement utilisés pour de l’imagerie médicale. Afin de développer de nouvelles architectures de sondes, intégrer l’électronique de commande devient impératif. Pour y parvenir, la température du procédé de réalisation ne doit pas excéder 400°C. Cela nécessite donc de revoir les procédés et matériaux utilisés. Pour répondre à cette problématique, nous avons utilisé une électrode originale en siliciure de nickel obtenu à 400°C, une couche sacrificielle en nickel et une membrane en nitrure de silicium déposée à 200°C. Des cMUT ont été fabriqués sur un substrat silicium. Ils présentent les caractéristiques souhaitées à savoir une forte fréquence de résonance (16,4MHz), une tension de collapse maitrisée (65V) et un coefficient de couplage électromécanique satisfaisant (0,6). De plus, le procédé développé peut être étendu à d’autres types de substrats. / CMUTs are innovating microsystems for ultrasonic medical imaging. To develop new array architectures, monolithic integration of integrated circuits is required. In this context, microsystems must be achieved using process temperature limited to 400°C. The main objective of this PhD thesis is the development of alternative processes and materials to replace usual ones done at high temperature. We have developed a nickel silicide bottom electrode at 400°C, a metallic sacrificial layer and a silicon nitride membrane deposited at 200°C. The devices, fabricated on silicon substrates, are functional with a high resonance frequency (16.4MHz), a mastered collapse voltage (65V) and an efficient electromechanical coupling coefficient (0.6). Moreover, this low temperature process was successfully applied on other substrates such as glass.

This master’s thesis is concerned with subject matter hard machining with defined geometry edge tools. Aim master’s thesis is analysis and parameters evaluation machined surface at hard machining. This master’s thesis contain a characteristic of hard materials, used technology for cutting operation, but also tools and cutting conditions suitable for hard machining. In the conclusion are parameters evaluation machined surface the workpiece.

This study consists of theoretical and practical part. Theoretical part of study resumes properties of titanium and it alloys and mentions application field and the way of production. Study includes review of machining strategies of titanium alloys. The materials for cutting tools and various types of tool wear are included. The experimental part of study consists of two partial experiments focused on the face milling by the ball – end milling cutter. First part is focused on facial milling of the inside part of spherical surface by the ball – end milling cutter and thus its surface roughness rating. The second part of experiment focuses on the milling of flat surface by the ball – end milling cutter and consequential analysis of cutting forces when the chip thickness is variable.

This thesis addresses the problem of registering one point set with respect to another. This problem arises in the context of the use of CMM/Scanners to inspect objects especially with freeform surfaces. The tolerance verification process now requires the comparison of measured points with the nominal geometry. This entails placement of the measured point set in the same reference frame as the nominal model. This problem is referred to as the registration or localization problem. In the most general form the tolerance verification task involves registering multiple point sets corresponding to multi-step scan of an object with respect to the nominal CAD model. This problem is addressed in three phases. This thesis presents a novel approach to automated inspection by matching point sets based on the Iterative Closest Point (ICP) algorithm. The Modified ICP (MICP) algorithm presented in the thesis improves upon the existing methods through the use of a localized region based triangulation technique to obtain correspondences for all the inspection points and achieves dramatic reduction in computational effort. The use of point sets to represent the nominal surface and shapes enables handling different systems and formats. Next, the thesis addresses the important problem of establishing registration between point sets in different reference frames when the initial relative pose between them is significantly large. A novel initial pose invariant methodology has been developed. Finally, the above approach is extended to registration of multiview inspection data sets based on acquisition of transformation information of each inspection view using the virtual gauging concept. This thesis describes implementation to address each of these problems in the area of automated registration and verification leading towards automatic inspection.

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