7 resultados para Tool wear mechanism

em Digital Commons at Florida International University


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The applications of micro-end-milling operations have increased recently. A Micro-End-Milling Operation Guide and Research Tool (MOGART) package has been developed for the study and monitoring of micro-end-milling operations. It includes an analytical cutting force model, neural network based data mapping and forecasting processes, and genetic algorithms based optimization routines. MOGART uses neural networks to estimate tool machinability and forecast tool wear from the experimental cutting force data, and genetic algorithms with the analytical model to monitor tool wear, breakage, run-out, cutting conditions from the cutting force profiles. ^ The performance of MOGART has been tested on the experimental data of over 800 experimental cases and very good agreement has been observed between the theoretical and experimental results. The MOGART package has been applied to the micro-end-milling operation study of Engineering Prototype Center of Radio Technology Division of Motorola Inc. ^

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The applications of micro-end-milling operations have increased recently. A Micro-End-Milling Operation Guide and Research Tool (MOGART) package has been developed for the study and monitoring of micro-end-milling operations. It includes an analytical cutting force model, neural network based data mapping and forecasting processes, and genetic algorithms based optimization routines. MOGART uses neural networks to estimate tool machinability and forecast tool wear from the experimental cutting force data, and genetic algorithms with the analytical model to monitor tool wear, breakage, run-out, cutting conditions from the cutting force profiles. The performance of MOGART has been tested on the experimental data of over 800 experimental cases and very good agreement has been observed between the theoretical and experimental results. The MOGART package has been applied to the micro-end-milling operation study of Engineering Prototype Center of Radio Technology Division of Motorola Inc.

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Structural Health Monitoring (SHM) systems were developed to evaluate the integrity of a system during operation, and to quickly identify the maintenance problems. They will be used in future aerospace vehicles to improve safety, reduce cost and minimize the maintenance time of a system. Many SHM systems were already developed to evaluate the integrity of plates and used in marine structures. Their implementation in manufacturing processes is still expected. The application of SHM methods for complex geometries and welds are two important challenges in this area of research. This research work started by studying the characteristics of piezoelectric actuators, and a small energy harvester was designed. The output voltages at different frequencies of vibration were acquired to determine the nonlinear characteristics of the piezoelectric stripe actuators. The frequency response was evaluated experimentally. AA battery size energy harvesting devices were developed by using these actuators. When the round and square cross section devices were excited at 50 Hz frequency, they generated 16 V and 25 V respectively. The Surface Response to Excitation (SuRE) and Lamb wave methods were used to estimate the condition of parts with complex geometries. Cutting tools and welded plates were considered. Both approaches used piezoelectric elements that were attached to the surfaces of considered parts. The variation of the magnitude of the frequency response was evaluated when the SuRE method was used. The sum of the square of the differences was calculated. The envelope of the received signal was used for the analysis of wave propagation. Bi-orthogonal wavelet (Binlet) analysis was also used for the evaluation of the data obtained during Lamb wave technique. Both the Lamb wave and SuRE approaches along with the three methods for data analysis worked effectively to detect increasing tool wear. Similarly, they detected defects on the plate, on the weld, and on a separate plate without any sensor as long as it was welded to the test plate.

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Cutting tools less than 2mm diameter can be considered as micro-tool. Microtools are used in variety of applications where precision and accuracy are indispensable. In micro-machining operations, a small amount of material is removed and very small cutting forces are created. The small cross sectional area of the micro-tools drastically reduces their strength and makes their useful life short and unpredictable; so cutting parameters should be selected carefully to avoid premature tool breakage. The main objective of this study is to develop new techniques to select the optimal cutting conditions with minimum number of experiments and to evaluate the tool wear in machining operations. Several experimental setups were prepared and used to investigate the characteristics of cutting force and AE signals during the micro-end-milling of different materials including steel, aluminum and graphite electrodes. The proposed optimal cutting condition selection method required fewer experiments than conventional approaches and avoided premature tool breakage. The developed tool wear monitoring technique estimated the used tool life with ±10% accuracy from the machining data collected during the end-milling of non-metal materials.

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Despite its founding by Hugo Chávez on the heels of the failed Free Trade Area for the Americas (FTAA) negotiations which took place November 2003, the Bolivarian Alliance for the Americas (ALBA, as it is known for its Spanish acronym) has evolved into a political tool that uses “social power” to facilitate Venezuela‟s positioning as the leader of the anti-U.S. agenda in the region. Fostering political favors and goodwill through the financing of social development projects, ALBA has created a political environment whereby countries on the take and their respective leaders seem deterred from taking public opposing viewpoints to Chávez. To that end, it has provided billions in economic aid to several nations in Latin American and the Caribbean, winning their favor and support for its policies. To date, ALBA counts on eight member nations. Besides Venezuela, it includes Antigua and Barbuda, Bolivia, Cuba, Dominica, Ecuador, Nicaragua, and Saint Vincent and the Grenadines. It also has several observer nations, among them, Grenada, Haiti, Paraguay, Uruguay, and a non-Latin American country, Syria. Throughout its recent history Venezuela has used its oil wealth to pursue political capital. Under the Chávez government it is doing so as part of a strategic effort countering the U.S. Following Cuba‟s demise in the region as the anti-American socialist camp leader, Chávez is attempting to step into Cuba‟s shoes, picking up where Cuba left off over a decade ago and has used the ALBA as a mechanism to help promote his foreign policy. Relying on its own resources, not those of the Soviet Union as Cuba once did, Venezuela has already shown its influence in the international arena, challenging U.S. positions at the Organization of American States (OAS), the United Nations, and even in matters having little if nothing to do with the region, such as Iran‟s nuclear proliferation. Taking advantage of Venezuela‟s oil prices bonanza, Chávez has been spreading economic aid throughout the region, funding several development projects. From stepping in to buy Bolivia‟s soy beans when the U.S. ceased doing so, to helping finance and construct an airport in Dominica, Venezuela‟s ALBA has provided assistance to many states in the region. As in the past, Venezuela has invested significantly both in time and money in the Caribbean, providing development assistance and oil at a discount to Haiti, St. Kitts and Nevis, and the Dominican Republic, although the latter two are neither member nor observer states of ALBA. The aid Chávez has been spreading around may be coming at a cost. It seems it has begun to cause cracks within the CARICOM community, where ALBA already counts on six of its 15 members, leading experts and leaders in the region to question traditional alliances to each other and the U.S. Yet, ALBA‟s ability to influence through aid is dependent on the Venezuelan economy. Its success hinges on continued Venezuelan oil sales at stable prices and the ability of Chávez to remain in power.

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The purpose of this research was to apply model checking by using a symbolic model checker on Predicate Transition Nets (PrT Nets). A PrT Net is a formal model of information flow which allows system properties to be modeled and analyzed. The aim of this thesis was to use the modeling and analysis power of PrT nets to provide a mechanism for the system model to be verified. Symbolic Model Verifier (SMV) was the model checker chosen in this thesis, and in order to verify the PrT net model of a system, it was translated to SMV input language. A software tool was implemented which translates the PrT Net into SMV language, hence enabling the process of model checking. The system includes two parts: the PrT net editor where the representation of a system can be edited, and the translator which converts the PrT net into an SMV program.

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Passive samplers are not only a versatile tool to integrate environmental concentrations of pollutants, but also to avoid the use of live sentinel organisms for environmental monitoring. This study introduced the use of magnetic silicone polymer composites (Fe-PDMS) as passive sampling media to pre-concentrate a wide range of analytes from environmental settings. The composite samplers were assessed for their accumulation properties by performing lab experiments with two model herbicides (Atrazine and Irgarol 1051) and evaluated for their uptake properties from environmental settings (waters and sediments). The Fe-PDMS composites showed good accumulation of herbicides and pesticides from both freshwater and saltwater settings and the accumulation mechanism was positively correlated with the log Kow value of individual analytes. Results from the studies show that these composites could be easily used for a wide number of applications such as monitoring, cleanup, and/or bioaccumulation modeling, and as a non-intrusive and nondestructive monitoring tool for environmental forensic purposes.