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Electrochemical Machining Assisted U...

Bradley, Curtis.

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Electrochemical Machining Assisted Using Pulsed Electric Fields, Ultrasonic Motion, and Magnetic Fields.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Electrochemical Machining Assisted Using Pulsed Electric Fields, Ultrasonic Motion, and Magnetic Fields./
作者:	Bradley, Curtis.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	124 p.
附註:	Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.
Contained By:	Dissertation Abstracts International80-03B(E).
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10790404
ISBN:	9780438515628

Electrochemical Machining Assisted Using Pulsed Electric Fields, Ultrasonic Motion, and Magnetic Fields.
Bradley, Curtis.

Electrochemical Machining Assisted Using Pulsed Electric Fields, Ultrasonic Motion, and Magnetic Fields. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 124 p.

Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.

Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018.

Electrochemical machining (ECM) is a non-traditional machining process that uses an anodic dissolution electrochemical cell to preferentially dissolve a positively charged metal workpiece using a negatively charged tool, thereby creating a precise shape with a good surface finish. ECM is currently used to manufacture superalloy turbine blisks and medical implants as well as other complex profiles requiring superb surface finishes.

ISBN: 9780438515628Subjects--Topical Terms:

649730
Mechanical engineering.

Electrochemical Machining Assisted Using Pulsed Electric Fields, Ultrasonic Motion, and Magnetic Fields.
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245 1 0 $a Electrochemical Machining Assisted Using Pulsed Electric Fields, Ultrasonic Motion, and Magnetic Fields.
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300 $a 124 p.
500 $a Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.
500 $a Includes supplementary digital materials.
500 $a Adviser: Johnson Samuel.
502 $a Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2018.
520 $a Electrochemical machining (ECM) is a non-traditional machining process that uses an anodic dissolution electrochemical cell to preferentially dissolve a positively charged metal workpiece using a negatively charged tool, thereby creating a precise shape with a good surface finish. ECM is currently used to manufacture superalloy turbine blisks and medical implants as well as other complex profiles requiring superb surface finishes.
520 $a The research in this thesis presents a machining cell that combines pulsed electric waveforms, ultrasonic motion, and magnetic fields to form a novel, triad-assisted ECM cell. The pulsed electric field has a wide variety of asymmetric, bipolar configurations possible using two independent controlled power supplies. The workpiece is ultrasonically actuated from below the cell. Either a constant or sinusoidal magnetic field can be generated using an electromagnet or pair of permanent magnets, respectively.
520 $a The electrochemical machining study presented in this thesis uses the novel testbed to reveal that phase-controlled waveform interactions between the three assistances affect both the material removal rate (MRR) and surface roughness (Ra) performance metrics. Experiments used a 7075 aluminum anode in an NaNO3 electrolyte with a 316 stainless steel cathode. The triad-assisted ECM case involving phase-specific combinations of all three high-frequency (15.625 kHz) assistance waveforms is found to be capable of achieving a 52% increase in MRR while also simultaneously yielding a 78% improvement in the surface roughness value over the baseline pulsed-ECM case. This result is encouraging because assisted ECM processes reported in literature typically improve only one of these performance metrics at the expense of the other.
520 $a Finally, the thesis presents an ECM cell design methodology that spans two hierarchical time scales to effectively model magnetically assisted PECM. Total MRR is simulated in a large time scale model, on the order of the machining time duration (seconds). The diffusion layer thickness, simulated by a model on the order of the pulse duration, is then mapped to Ra by using an empirical function derived from the experimental data sets. The numerical models use characterizing minimum-order polynomials to estimate average conductivity, efficiency and peak current as functions of magnetic flux density and PECM voltage frequency. The models are then cross-validated by using 67% of the PECM test data for training the polynomial estimates. The average of the MRR and Ra model predictions are within 8% of the experimental value. The thesis concludes by presenting a microchannel use-case to demonstrate that capability of the proposed ECM cell design methodology to effectively navigate the complex ECM parameter space.
590 $a School code: 0185.
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650 4 $a Chemical engineering. $3 560457
650 4 $a Electromagnetics. $3 3173223
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710 2 $a Rensselaer Polytechnic Institute. $b Mechanical Engineering. $3 2095977
773 0 $t Dissertation Abstracts International $g 80-03B(E).
790 $a 0185
791 $a Ph.D.
792 $a 2018
793 $a English
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