Acoustic emission monitoring of sheet metal forming: characterization of the transducer, the work material and the process

Hao, S.; Ramalingam, S.; Klamecki, Barney E.

doi:10.1016/s0924-0136(00)00441-6

Cited by 29 publications

(26 citation statements)

References 14 publications

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“…The AE technique has been used for monitoring a variety of forming processes [4][5][6][7][8][9][10][11]. Force/displacement measurements are usually employed to monitor metalforming processes [4].…”

Section: Optimization Of Positioning Of An Acoustic Emission Sensor Fmentioning

confidence: 99%

Optimization of Positioning of an Acoustic Emission Sensor for Monitoring Hot Forging

Mukhopadhyay

Venugopal

Jayakumar

et al. 2006

Materials and Manufacturing Processes

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Optimization of a sensor location for effective characterization of a hot forging process using acoustic emission (AE) signals is discussed in this paper. Acoustic emission signals generated during forging operations on an aluminium alloy were recorded using three sensors simultaneously by mounting them on the top bolster, bottom bolster, and bottom die of the press. The AE signals with maximum sensitivity could be detected with a sensor attached to the bottom die in preference to the other positions. Using AE parameters, the forging process could be differentiated into three regions, i.e., 1) yielding of the workpiece material, 2) intermediate deformation region, and 3) filling of the die. The results show that the optimum position of the AE sensor for monitoring hot forging is found to be the bottom die of the forging press.

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Section: Optimization Of Positioning Of An Acoustic Emission Sensor Fmentioning

confidence: 99%

Optimization of Positioning of an Acoustic Emission Sensor for Monitoring Hot Forging

Mukhopadhyay

Venugopal

Jayakumar

et al. 2006

Materials and Manufacturing Processes

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“…Acoustic emission monitoring of cup-drawing process has been reported [9]. The schematic representation of the process is shown in Fig.…”

Section: Acoustic Emission Monitoring Of Cup-drawing Processmentioning

confidence: 99%

“…On-line monitoring of these processes by AET can yield in-depth information regarding various stages of the sheet metal forming processes with respect to initial contact of the punch with the workpiece, plastic deformation and fracture. A few works on AE monitoring of sheet metal forming processes like punch stretching, deep-drawing and cup-drawing have been reported in published literature [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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A review of the application of acoustic emission techniques for monitoring forming and grinding processes

Jayakumar

Mukhopadhyay

Venugopal

et al. 2005

Journal of Materials Processing Technology

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“…[2][3][4][5] In the field of forming process engineering, the AE technique has been applied to the detection of the lubrication condition, 6,7) drawing, 8,9) sheet metal forming, 10,11) blanking, 12,13) hobbing 14) and so on. AE is a phenomenon caused by the elastic waves generated by the onset of microdefects in materials.…”

Section: Introductionmentioning

confidence: 99%

Detection of Damage and Fracture of Forging Die by Fractal Property of Acoustic Emission

et al. 2004

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The detection of damage to and fracture of cold forging tools during forming operation by fractal property of acoustic emission (AE) is performed. First, a tensile test on tool steel is conducted to elucidate the fractal dimensions of deformation-induced and fracture-induced AEs. The resultant fractal dimensions are 1.97 and 1.44. Next, the change in the fractal dimension of AE from a die insert is investigated under cold forward extrusions. Workpieces with a conversion coating film are used to eliminate the effect of friction on AE. After 300 extrusions, no damage and wear is observed on the die surface, and the fractal dimension is almost constant at 2.04 on average. Then, another series of cold forward extrusions under high-friction conditions is performed with mineral oil VG2 and stearic acid to promote the onset of damage to and fracture of the die. A defect on the surface of the workpiece is observed at the 101st extrusion, which resulted from the onset of crack on the die radius. The former average fractal dimension, 2.01, of the onset of the crack changes to 1.52 after the onset of the crack. From the results, the fractal dimension can be concluded to be one of the most effective indicators of the progress of damage to a cold forging tool. Finally, a method of separating the die-induced AE from the total AE based on the Kaiser effect is proposed.

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Acoustic emission monitoring of sheet metal forming: characterization of the transducer, the work material and the process

Cited by 29 publications

References 14 publications

Optimization of Positioning of an Acoustic Emission Sensor for Monitoring Hot Forging

Optimization of Positioning of an Acoustic Emission Sensor for Monitoring Hot Forging

A review of the application of acoustic emission techniques for monitoring forming and grinding processes

Detection of Damage and Fracture of Forging Die by Fractal Property of Acoustic Emission

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