Intelligent Energy Field Manufacturing 2010
DOI: 10.1201/ebk1420071016-c19
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Electrically Assisted Manufacturing

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Cited by 8 publications
(8 citation statements)
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“…Specifically, it was determined that the average grain size [II], dislocation density [12], and percent of alloying content [13] all had notable effects on how efficiently the applied electricity reduced the flow stress. Preliminary modeling work has been done by the authors, in which the total applied electrical power is divided into that which assists deformation and that which contributes toward workpiece heating [2,14], From past research on EAF, it can be understood that there are many material and process variables which affect its efficiency. This pre.sent work examines .several process-related variables affecting EAF for a better physical understanding of the electroplastic effect.…”
Section: Development Of Eammentioning
confidence: 99%
“…Specifically, it was determined that the average grain size [II], dislocation density [12], and percent of alloying content [13] all had notable effects on how efficiently the applied electricity reduced the flow stress. Preliminary modeling work has been done by the authors, in which the total applied electrical power is divided into that which assists deformation and that which contributes toward workpiece heating [2,14], From past research on EAF, it can be understood that there are many material and process variables which affect its efficiency. This pre.sent work examines .several process-related variables affecting EAF for a better physical understanding of the electroplastic effect.…”
Section: Development Of Eammentioning
confidence: 99%
“…Additional work by Kronenberger material flow stress during EAF; however, using only the resistive heating effects, the model was inadequate at predicting the EAF flow stress [6]. Also in 2010, Salandro et al examined air bending of 304 Stainless Steel sheet metal [8]. This work presented a model which accurately characterized the material flow stress for small and larger strains in magnesium and copper materials.…”
Section: Flow Stress Prediction In Electrically Assisted Formingmentioning
confidence: 99%
“…This work presented a model which accurately characterized the material flow stress for small and larger strains in magnesium and copper materials. In 2011, Salandro et al performed thermal modeling of a uniaxial EAF compression process to study the effects of electrical energy input and its contribution to resistive heating or to aiding deformation [10]. Using an analytical approach, a model of the forming load was constructed for conventional bending and electrically assisted bending.…”
Section: Flow Stress Prediction In Electrically Assisted Formingmentioning
confidence: 99%
“…The EAM technique can be applied to various different manufacturing processes, including bulk deformation, sheet metal forming, and joining procedures. 2…”
Section: Introductionmentioning
confidence: 99%