Novel Approaches for In-line Draw-in Measurement Using Cost Effective Tactile Sensors

  1. Galdos, Lander 1
  2. Muñiz, Laura 1
  3. Trinidad, Javier 1
  4. Aranburu, Andoitz 2
  5. Ramirez de Okariz, Julian 2
  6. Barandiaran, Aratz 1
  1. 1 Universidad de Mondragón/Mondragon Unibertsitatea
    info
    Universidad de Mondragón/Mondragon Unibertsitatea

    Mondragón, España

    ROR https://ror.org/00wvqgd19

    Geographic location of the organization Universidad de Mondragón/Mondragon Unibertsitatea
  2. 2 Fagor Arrasate S.Coop., San Andres Auzoa 20, Mondragon, Spain
Proceedings:
MATEC Web of Conferences

ISSN: 2261-236X

Year of publication: 2025

Volume: 408

Pages: 01092

Type: Conference paper

DOI: 10.1051/MATECCONF/202540801092 GOOGLE SCHOLAR lock_openOpen access editor HANDLE: https://hdl.handle.net/20.500.11984/14240
eBiltegia. Repositorio digital de Mondragon Unibertsitatea: lock_openOpen access Handle

Abstract

The application of Industry 4.0 and advanced controllers is advancing rapidly in deep drawing and stamping companies. The main goals of process monitoring, sensor data analysis, and the design of new controllers are process optimization and increased process robustness. These approaches directly result in reduced scrap and the development of more environmentally friendly processes. During process monitoring, measuring draw-in is crucial for both the try-out of new tools and production monitoring of stamping operations. This measurement allows for adjustments in lubrication and blank-holder forces, leading to a more robust process. This paper presents a novel method for the in-line draw-in measurement using cost-effective and robust tactile sensors based on pneumatic cylinders. The new sensor can track draw-in when curved blank-holders are used, allowing the monitoring of the full draw-in temporal curve. This paper first presents the design of the new sensor along with its accuracy measurements. Next, the sensor is tested using curved blank holders, and the buckling behaviour of the contacting finger is analysed. Finally, the sensor’s performance in a real-world environment is evaluated.

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