2017
DOI: 10.1016/j.promfg.2017.07.064
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Dynamic Detection of Instability Defects in tube Rotary Draw Bending

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Cited by 13 publications
(5 citation statements)
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“…The sensor data can be analyzed to monitor in real time the actual bending radius in a three roll push bending operation, the springback angle in a rotary draw bending operation, and the onset of wrinkles in both processes. Alternatively, a set of sensors can be positioned on most of the elements of the bending tooling, such as the bending die, wiper die, and mandrel for the rotary draw bending, to dynamically diagnose the bending defects [ 106 ]. To achieve this, the hardware and software acquisition system, the sensor calibration procedure and the analysis procedure of both the machine and sensor data need to be developed as well.…”
Section: Discussionmentioning
confidence: 99%
“…The sensor data can be analyzed to monitor in real time the actual bending radius in a three roll push bending operation, the springback angle in a rotary draw bending operation, and the onset of wrinkles in both processes. Alternatively, a set of sensors can be positioned on most of the elements of the bending tooling, such as the bending die, wiper die, and mandrel for the rotary draw bending, to dynamically diagnose the bending defects [ 106 ]. To achieve this, the hardware and software acquisition system, the sensor calibration procedure and the analysis procedure of both the machine and sensor data need to be developed as well.…”
Section: Discussionmentioning
confidence: 99%
“…In addition to the positioning of the individual components, the alignments of the wiper die and the pressure die is of particular importance Simonetto et al [11]. Further variables influencing the process are bends of the tool and the machine, therefore the stiffness of each tool and each machine axis is important.…”
Section: Formation Of Wrinkles During Rotary Draw Bendingmentioning
confidence: 99%
“…3 Similar approaches applied to other processes such as tube rotary draw bending and wire drawing have shown that defects can be avoided by using optimum conditions of process variables. 4,5 JingDong et al 6 have highlighted the need to focus on improving part quality by determining FIGURE 2 Deformation of bottom panel of a can subjected to a buckle pressure test optimum process parameters using an alternative to the time-consuming "trial-and-error" procedure. However, this can be very complex, since part quality is also influenced by geometry, material, surface roughness, lubrication, and machine features.…”
Section: Figure 1 Metal Can Showing Expansion Ringsmentioning
confidence: 99%
“…Parameter optimisation is of major importance in Can manufacturing, given the variety of methods having been used to improve sheet forming processes by controlling design variables . Similar approaches applied to other processes such as tube rotary draw bending and wire drawing have shown that defects can be avoided by using optimum conditions of process variables . JingDong et al have highlighted the need to focus on improving part quality by determining optimum process parameters using an alternative to the time‐consuming “trial‐and‐error” procedure.…”
Section: Introductionmentioning
confidence: 99%