2021
DOI: 10.1088/1361-6501/abd499
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Enhancing the accuracy of in-process springback measurements of complex tube bending processes using cost-effective embedded sensors

Abstract: Geometrical errors due to springback are the main causes of variability in bending of thin-walled tubular profiles. This limits the process capability and determines an increase of the overall production costs due to both scrap or rework, and to the quality control operations. Despite the evolution of bending processes in the last decade, with the adoption of full-electric, highly automated CNC machines, the workpieces’ geometry is usually still verified off-line downstream from the forming stage. This paper p… Show more

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Cited by 3 publications
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“…An application example is provided on the prediction of the final dimension of the workpiece in turning. Ghiotti et al [5] discuss an innovative on-machine, integrated approach for fast in-process inspection of bent tube geometrical features through cost-effective micro-electromechanical system inertial measurement sensors. These embedded sensors are affected by systematic errors due to both measuring principle and process-related effects; therefore, a methodology to correct such errors is proposed.…”
mentioning
confidence: 99%
“…An application example is provided on the prediction of the final dimension of the workpiece in turning. Ghiotti et al [5] discuss an innovative on-machine, integrated approach for fast in-process inspection of bent tube geometrical features through cost-effective micro-electromechanical system inertial measurement sensors. These embedded sensors are affected by systematic errors due to both measuring principle and process-related effects; therefore, a methodology to correct such errors is proposed.…”
mentioning
confidence: 99%