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Kanchan M. Kelkar, Suhas V. Patankar, Alec Mitchell, Ramesh S. Minisandram, Ashish D. Patel
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ESR
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Book Chapter
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005510
EISBN: 978-1-62708-197-9
... Abstract This article provides an overview of the studies on computational modeling of the vacuum arc remelting (VAR) and electroslag remelting (ESR) processes. These models involve the axisymmetric analysis of the electromagnetic, flow, heat-transfer, and phase-change phenomena to predict...
Abstract
This article provides an overview of the studies on computational modeling of the vacuum arc remelting (VAR) and electroslag remelting (ESR) processes. These models involve the axisymmetric analysis of the electromagnetic, flow, heat-transfer, and phase-change phenomena to predict the pool shape and thermal history of an ingot using two-dimensional axisymmetric models for VAR and ESR. Analysis of segregation of alloying elements during solidification that gives rise to macrolevel compositional nonuniformity in titanium alloy ingots is also described. The article discusses the important features of the control-volume-based computational method to review the unique aspects of the processes. Measurement of the properties of alloys and slags is explained and an analysis of the process variants for improving the predictive accuracy of the models is presented.
Image
Published: 01 January 1986
Fig. 4 ESR spectrum of DPPH. Y 1 is the amplitude of the first peak of the spectrum; the amplitude of the peak in the hypothetical spectrum in the absence of hyperfine structure is Y 1 multiplied by the multiplicity factor D . In this case, D = 9.
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Image
Published: 01 January 1986
Fig. 7 ESR absorption spectra. (a) A singlet as shown in Fig. 6(a) . (b) A quartet due to hyperfine structure with two protons ( A 2 > A 1 ) ( Fig. 6b ). (c) A 1 = A 2 ( Fig. 6c ). Intensity ratios are given below the lines.
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Image
Published: 01 January 1986
Fig. 11 High-resolution ESR spectrum of DPPH in tetrahydrofuran after removal of dissolved oxygen.
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Image
Published: 01 January 1986
Fig. 12 Observed ESR spectrum of chromia alumina catalyst. The sample contained 5.3 mol% Cr 2 O 3 .
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Image
Published: 01 January 1986
Fig. 13 ESR spectrum of turquoise. Left to right: locations in gauss of the three principal g -values of Cu 2+ ions and that of the free-radical marker DPPH
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Image
Published: 01 December 2008
Fig. 1 Schematic of an ESR furnace with multiple electrodes for large ingot production
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Image
Published: 01 December 2008
Fig. 2 Comparison of properties of steel rotor forgings made from ESR and conventionally melted ingots. (a) Impact strength of grade X22CrMoV121. (b) Fracture toughness of grade 30CrMoNiV511. Specimen orientation and location are indicated next to curves. Source: Ref 1 , 2 , 3
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Image
Published: 01 December 2008
Fig. 3 Basic design of a modern ESR furnace with a fixed mold. 1, ram drive system; 2, electrode ram; 3, XY adjustment; 4, load cell system; 5, sliding contact; 6, four bus tubes; 7, pivoting drive; 8, electrode; 9, mold assembly; 10, coaxial bus tube; 11, base plate; 12, multicontacts
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Image
Published: 01 December 2008
Fig. 4 Schematic of an ESR furnace with retractable bottom plate. 1, electrode drive system; 2, load cell system; 3, stinger crosshead; 4, two ball screws; 5, three bus tubes; 6, mold assembly; 7, ingot; 8, ingot withdrawal table; 9, three bus tubes; 10, three ball screws; 11, three sliding
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Image
Published: 01 December 2008
Fig. 6 ESR process parameters for the melting of a nickel-base alloy
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Published: 01 December 2008
Fig. 7 Melt trace for ESR showing variation of melt current, melt rate, ram travel, slag resistance, voltage, and volt swing
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Image
Published: 01 December 2008
Fig. 8 160 Mg (176 ton) ESR ingot before forging into a generator rotor
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Published: 01 December 2008
Fig. 9 Schematic of solidification relationships in VAR (left) and ESR (right) melting processes. Source: Ref 16
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Published: 01 December 2008
Fig. 10 Longitudinal schematic of the structure developed in an ESR ingot during melting
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Published: 01 December 1998
Fig. 5 Schematic of solidification relationships in VAR (left) and ESR (right) melting processes. Source: After Ref 1
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Book Chapter
Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005201
EISBN: 978-1-62708-187-0
... Abstract Electroslag remelting (ESR) is commonly used to produce the highest levels of quality in plate steels, particularly in thick plates. This article provides an overview of the ESR and discusses the major components and operations of the ESR furnaces. It describes the principles of ingot...
Abstract
Electroslag remelting (ESR) is commonly used to produce the highest levels of quality in plate steels, particularly in thick plates. This article provides an overview of the ESR and discusses the major components and operations of the ESR furnaces. It describes the principles of ingot solidification and the various defects of remelted ingot such as tree ring patterns, freckles, and white spots. The article explains several variations of ESR such as pressure electroslag remelting, remelting under reduced pressure, and electroslag rapid remelting. It also examines the features of steel ESR and superalloy ESR.
Series: ASM Handbook Archive
Volume: 10
Publisher: ASM International
Published: 01 January 1986
DOI: 10.31399/asm.hb.v10.a0001750
EISBN: 978-1-62708-178-8
... Abstract Electron spin resonance (ESR), or electron paramagnetic resonance (EPR), is an analytical technique that can extract a great deal of information from any material containing unpaired electrons. This article explains how ESR works and where it applies in materials characterization...
Abstract
Electron spin resonance (ESR), or electron paramagnetic resonance (EPR), is an analytical technique that can extract a great deal of information from any material containing unpaired electrons. This article explains how ESR works and where it applies in materials characterization. It describes a typical ESR spectrometer and explains how to tune it to optimize critical electromagnetic interactions in the test sample. It also identifies compounds and elements most suited for ESR analysis and explains how to extract supplementary information from test samples based on the time it takes electrons to return to equilibrium from their resonant state. Two of the most common methods for measuring this relaxation time are presented as are several application examples.
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