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Dive into the research topics where Joshua A. Tarbutton is active.

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Featured researches published by Joshua A. Tarbutton.


Smart Materials and Structures | 2014

Electric poling-assisted additive manufacturing process for PVDF polymer-based piezoelectric device applications

ChaBum Lee; Joshua A. Tarbutton

This paper presents a new additive manufacturing (AM) process to directly and continuously print piezoelectric devices from polyvinylidene fluoride (PVDF) polymeric filament rods under a strong electric field. This process, called ?electric poling-assisted additive manufacturing or EPAM, combines AM and electric poling processes and is able to fabricate free-form shape piezoelectric devices continuously. In this process, the PVDF polymer dipoles remain well-aligned and uniform over a large area in a single design, production and fabrication step. During EPAM process, molten PVDF polymer is simultaneously mechanically stresses in-situ by the leading nozzle and electrically poled by applying high electric field under high temperature. The EPAM system was constructed to directly print piezoelectric structures from PVDF polymeric filament while applying high electric field between nozzle tip and printing bed in AM machine. Piezoelectric devices were successfully fabricated using the EPAM process. The crystalline phase transitions that occurred from the process were identified by using the Fourier transform infrared spectroscope. The results indicate that devices printed under a strong electric field become piezoelectric during the EPAM process and that stronger electric fields result in greater piezoelectricity as marked by the electrical response and the formation of sharper peaks at the polar ? crystalline wavenumber of the PVDF polymer. Performing this process in the absence of an electric field does not result in dipole alignment of PVDF polymer. The EPAM process is expected to lead to the widespread use of AM to fabricate a variety of piezoelectric PVDF polymer-based devices for sensing, actuation and energy harvesting applications with simple, low cost, single processing and fabrication step.


Review of Scientific Instruments | 2014

Novel design and sensitivity analysis of displacement measurement system utilizing knife edge diffraction for nanopositioning stages

ChaBum Lee; Sun-Kyu Lee; Joshua A. Tarbutton

This paper presents a novel design and sensitivity analysis of a knife edge-based optical displacement sensor that can be embedded with nanopositioning stages. The measurement system consists of a laser, two knife edge locations, two photodetectors, and axillary optics components in a simple configuration. The knife edge is installed on the stage parallel to its moving direction and two separated laser beams are incident on knife edges. While the stage is in motion, the direct transverse and diffracted light at each knife edge is superposed producing interference at the detector. The interference is measured with two photodetectors in a differential amplification configuration. The performance of the proposed sensor was mathematically modeled, and the effect of the optical and mechanical parameters, wavelength, beam diameter, distances from laser to knife edge to photodetector, and knife edge topography, on sensor outputs was investigated to obtain a novel analytical method to predict linearity and sensitivity. From the model, all parameters except for the beam diameter have a significant influence on measurement range and sensitivity of the proposed sensing system. To validate the model, two types of knife edges with different edge topography were used for the experiment. By utilizing a shorter wavelength, smaller sensor distance and higher edge quality increased measurement sensitivity can be obtained. The model was experimentally validated and the results showed a good agreement with the theoretically estimated results. This sensor is expected to be easily implemented into nanopositioning stage applications at a low cost and mathematical model introduced here can be used for design and performance estimation of the knife edge-based sensor as a tool.


Review of Scientific Instruments | 2015

Compliance and control characteristics of an additive manufactured-flexure stage

ChaBum Lee; Joshua A. Tarbutton

This paper presents a compliance and positioning control characteristics of additive manufactured-nanopositioning system consisted of the flexure mechanism and voice coil motor (VCM). The double compound notch type flexure stage was designed to utilize the elastic deformation of two symmetrical four-bar mechanisms to provide a millimeter-level working range. Additive manufacturing (AM) process, stereolithography, was used to fabricate the flexure stage. The AM stage was inspected by using 3D X-ray computerized tomography scanner: air-voids and shape irregularity. The compliance, open-loop resonance peak, and damping ratio of the AM stage were measured 0.317 mm/N, 80 Hz, and 0.19, respectively. The AM stage was proportional-integral-derivative positioning feedback-controlled and the capacitive type sensor was used to measure the displacement. As a result, the AM flexure mechanism was successfully 25 nm positioning controlled within 500 μm range. The resonance peak was found approximately at 280 Hz in closed-loop. This research showed that the AM flexure mechanism and the VCM can provide millimeter range with high precision and can be a good alternative to an expensive metal-based flexure mechanism and piezoelectric transducer.


IEEE Transactions on Aerospace and Electronic Systems | 2014

Condition monitoring of helicopter drive shafts using quadratic-nonlinearity metric based on cross-bispectrum

Mohammed A. Hassan; Joshua A. Tarbutton; Abdel Bayoumi; Yong-June Shin

Based on cross-bispectrum, quadratic-nonlinearity coupling between two vibration signals is proposed and used to assess health conditions of rotating shafts in an AH-64D helicopter tail rotor drive train. Vibration data are gathered from two bearings supporting the shaft in an experimental helicopter drive train simulating different shaft conditions, namely, baseline, misalignment, imbalance, and combination of misalignment and imbalance. The proposed metric shows better capabilities in distinguishing different shaft settings than the conventional linear coupling based on cross-power spectrum.


ieee sensors | 2016

Characterization of 3D printed piezoelectric sensors: Determiniation of d 33 piezoelectric coefficient for 3D printed polyvinylidene fluoride sensors

Max B Kirkpatrick; Joshua A. Tarbutton; Tue Le; ChaBum Lee

Previous results demonstrated piezoelectricity in 3D printed PVDF, however these results showed near undetectable signal levels and inconsistent piezoelectric behavior. This paper presents far improved sensor performance, and the first characterization of the piezoelectric properties of 3D printed PVDF. A value for d33 of 0.36 ± 0.13 pC/N was discovered for a 35mm by 35mm single layer wafer.


International Journal of Manufacturing Research | 2015

A wavelet–based index for fault detection and its application in condition monitoring of helicopter drive–train components

Kareem Gouda; Joshua A. Tarbutton; Mohammed A. Hassan; David Coats; Abdel Bayoumi

This paper presents a new condition indicator using wavelet analysis for the purpose of fault detection in an AH–64 gearbox. Historically, vibration–based condition indicators from employed component monitoring equipment are derived from both temporal and spectral domain analysis. However, these indicators failed to accurately capture high order correlations for the gearbox study addressed in this paper. An improved approach is necessary to overcome limitations of traditional vibrational monitoring techniques. The proposed condition indicator is derived from the Morlet continuous wavelet .transform The power spectra obtained from the wavelet transform coefficients at a certain scale or frequency are added together and then are normalised to one composite signal, denoted by a numeric index. Concepts of the wavelet index are discussed. This index is applied using real–world vibration data from a tail rotor gearbox with an output seal leak as part of condition–based maintenance practices. Results demonstrate potential of the proposed wavelet index to more effectively capture the fault when compared to gearbox condition indicators. [Received 24 January 2014; Revised 28 August 2014; Accepted 3 October 2014]


Computer-aided Design and Applications | 2018

5-Axis tool path planning based on highly parallel discrete volumetric geometry representation: Part I contact point generation

Dmytro Konobrytskyi; Mohammad M. Hossain; Thomas M. Tucker; Joshua A. Tarbutton; Thomas R. Kurfess

ABSTRACTWhile 5-axis CNC machines improve the manufacturing productivity, the tool-path programming demands human expertise and tremendous time investment to generate collision-free optimal tool tr...


ieee sensors | 2016

Live demonstration: Characterization of 3D printed piezoelectric sensors

ChaBum Lee; Max B Kirkpatrick; Joshua A. Tarbutton; Tue Le

This paper presents a demonstration of the 3D printed piezoelectric sensors described in the attached document.


ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference | 2013

GPGPU Accelerated 3-Axis CNC Machining Simulation

Dmytro Konobrytskyi; Thomas R. Kurfess; Joshua A. Tarbutton; Tommy Tucker

GPUs (Graphics Processing Units), traditionally used for 3D graphics calculations, have recently got an ability to perform general purpose calculations with a GPGPU (General Purpose GPU) technology. Moreover, GPUs can be much faster than CPUs (Central Processing Units) by performing hundreds or even thousands commands concurrently. This parallel processing allows the GPU achieving the extremely high performance but also requires using only highly parallel algorithms which can provide enough commands on each clock cycle.This work formulates a methodology for selection of a right geometry representation and a data structure suitable for parallel processing on GPU. Then the methodology is used for designing the 3-axis CNC milling simulation algorithm accelerated with the GPGPU technology. The developed algorithm is validated by performing an experimental machining simulation and evaluation of the performance results.The experimental simulation shows an importance of an optimization process and usage of algorithms that provide enough work to GPU. The used test configuration also demonstrates almost an order of magnitude difference between CPU and GPU performance results.Copyright


50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference | 2009

Feedback Delays for Vibration Mitigation and External Disturbance Rejection at the Microscale

Yousef Qaroush; Mohammed F. Daqaq; Reza Saeidpourazar; Joshua A. Tarbutton; Nader Jalili

This efiort discusses the implementation of delayed-feedback algorithms as efiective mechanisms for vibration mitigation at the microscale. A delayed velocity-feedback algorithm is considered and employed to mitigate the ∞exural vibrations of a microcantilever beam. The linear stability of the closed-loop unforced system is assessed to determine the gain-delay combinations wherein the flxed points of the system are locallyasymptotically stable. The method of multiple scales is then implemented to analyze the steady-state forced response of the closed-loop dynamics. Theoretical results demonstrate that inherent system delays can be easily augmented into a larger delay period that can be used to stabilize the system dynamics and enhance the damping characteristics of the response. The proposed concept is implemented experimentally on a microcantilever sensor. The feedback algorithm is shown to have excellent performance in mitigating the efiects of external disturbances and periodic excitations.

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ChaBum Lee

Gwangju Institute of Science and Technology

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Abdel Bayoumi

University of South Carolina

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Thomas R. Kurfess

Georgia Institute of Technology

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Andrey Balabokhin

University of South Carolina

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Tue Le

University of South Carolina

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Sun-Kyu Lee

Gwangju Institute of Science and Technology

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Chao Lu

University of South Carolina

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