Browsing by Keyword "info:eu-repo/grantAgreement/EC/H2020/723698/EU/Integrated Zero Defect Manufacturing Solution for High Value Adding Multi-stage Manufacturing systems/ForZDM"
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Item Oversizing Thread Diagnosis in Tapping Operation(2021-03-25) Gil Del Val, Alain; Veiga, Fernando; Penalva, Mariluz; Arizmendi, Miguel; Tecnalia Research & Innovation; FABRIC_INTELAutomotive, railway and aerospace sectors require a high level of quality on the thread profiles in their manufacturing systems knowing that the tapping process is a complex manufacturing process and the last operation in a manufacturing cell. Therefore, a multivariate statistical process control chart, for each tap, is presented based on the principal components of the torque signal directly measured from spindle motor drive to diagnosis the thread profile quality. This on-line multivariate control chart has implemented an alarm to avoid defected screw threads (oversized). Therefore, it could work automatically without any operator intervention assessing the thread quality and the safety is guaranteed during the tapping process.Item Predicted Torque Model in Low-Frequency-Assisted Boring (LFAB) Operations(2021-06-24) Veiga, Fernando; Gil Del Val, Alain; Penalva, Mari Luz; Pereira, Octavio; Suárez, Alfredo; López de Lacalle Marcaide, Luis Norberto; Tecnalia Research & Innovation; FABRIC_INTELA low-frequency-assisted boring operation is a key cutting process in the aircraft manufacturing sector when drilling deep holes to avoid chip clogging based on chip breakage and, consequently, to reduce the temperature level in the cutting process. This paper proposes a predicted force model based on a commercial control-supported chip breaking function without external vibration devices in the boring operations. The model was fitted by conventional boring measurements and was validated by vibration boring experiments with different ranges of amplitude and frequency. The average prediction error is around 10%. The use of a commercial function makes the model more attractive for the industry because there is no need for intrusive vibration sensors. The low-frequency assisted boring (LFAB) operations foster the chip breakage. Finally, the model is generic and can be used for different cutting materials and conditions. Roughness is improved by 33% when vibration conditions are optimal, considered as a vibration amplitude of half the feed per tooth. This paper presents, as a novelty, the analysis of low-frequency vibration parameters in boring processes and their effect on chip formation and internal hole roughness. This has a practical significance for the definition of a methodology based on the torque model for the selection of conditions on other hole-making processes, cutting parameters and/or materials.