Integrating Electromechanical Actuator Hardware with Receptance Coupling Substructure Analysis for Chatter Prediction on High Speed Machining Centers

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dc.contributor.advisor Melur K. Ramasubramanian, Committee Member en_US
dc.contributor.advisor Gregory D. Buckner, Committee Chair en_US
dc.contributor.advisor Eric C. Klang, Committee Member en_US
dc.contributor.author Kiefer, Aaron Joseph en_US
dc.date.accessioned 2010-04-02T18:16:58Z
dc.date.available 2010-04-02T18:16:58Z
dc.date.issued 2004-07-18 en_US
dc.identifier.other etd-04162004-161118 en_US
dc.identifier.uri http://www.lib.ncsu.edu/resolver/1840.16/2737
dc.description.abstract Machine tool chatter imposes limitations on the productivity and quality of modern high speed machining (HSM) operations. It has been shown that chatter prediction and avoidance strategies can lead to increased machining productivity if certain modal characteristics of the machine are known. The objectives of this research are twofold. The first aim is to design and demonstrate a non-contacting electromechanical actuator (EMA) to easily and accurately identify these characteristics. Design specifications for this actuator reflect a wide range of machine tools and operating conditions. A simulation-based design strategy is employed, based on traditional electromechanical analysis, finite element analysis (FEA), and computer simulations to ensure performance meets the design specifications. A prototype EMA system is built to validate the analytical results and demonstrate its capabilities as part of an automated chatter prediction and avoidance system. The EMA is shown to generate the required modal characteristics, namely frequency response functions (FRFs) quickly, accurately, and with fewer technical skill requirements than other vibration testing methods. Experimental machining tests demonstrate that the EMA can be an effective component of an integrated chatter prediction and avoidance system. The second goal is to investigate the feasibility of extending receptance coupling substructure analysis (RCSA) theory to tool-point FRF prediction. Inverse and forward RCSA algorithms are developed using Matlab software. FRF prediction is first evaluated in simulation and later tested with experimental results from the EMA actuator. RCSA prediction in simulation is correct; experimental results are highly susceptible to input error. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject Chatter en_US
dc.subject High Speed Machining en_US
dc.subject Frequency Response Function en_US
dc.subject Receptance Coupling Substructure Analysis en_US
dc.subject Electromechanical Actuator en_US
dc.title Integrating Electromechanical Actuator Hardware with Receptance Coupling Substructure Analysis for Chatter Prediction on High Speed Machining Centers en_US
dc.degree.name MS en_US
dc.degree.level thesis en_US
dc.degree.discipline Mechanical Engineering en_US


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