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Modernization of the stamping process using eddy current and load sensors in the manufacturing of automotive parts
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Faculty of Transport Engineering, Vilnius Gediminas Technical University, Lithuania
LLC “Stansefabrikken Automotive”, Lithuania
These authors had equal contribution to this work
Submission date: 2023-12-18
Final revision date: 2024-03-23
Acceptance date: 2024-05-28
Online publication date: 2024-06-16
Publication date: 2024-06-16
Corresponding author
Paulius Skačkauskas   

Faculty of Transport Engineering, Vilnius Gediminas Technical University, Plytinės st. 25, LT–10105, Vilnius, Lithuania
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):189453
  • Experimental research on sensor technologies usage in the progressive stamping process.
  • Experiments were conducted by applying eddy current and load sensors into existing tools.
  • The obtained results offered a methodology that can be applied in manufacturing.
  • The research provides developed opportunities for the use of sensors in production.
In this research, an experimental study is presented, which extends the usage of eddy current and load sensors in progressive stamping tools to optimize and continuously monitor the stamping process. The purpose of the research was to automatically detect material scrap before it leaves imprints on the part and based on the sensor’s readings, determine the optimal tool bottom position. The scrap thickness that needs to be detected was established in an experiment by visual evaluation of the result. To determine the optimal bottom position, a linear regression method was used, and the results were evaluated by part quality parameter. The research results consist of separate detection steps and the conclusion was made only after the serial type production. Overall results of scrap detection were influenced by the design of the existing tool. The bottom position detection consists of various readings interpretations and multi-step method descriptions. Based on the acquired results of both methods, implementing the in–die sensors was considered successful and applicable to new tools.
The results of this paper were achieved in cooperation within the UAB “Stansefabrikken Automotive” and VILNIUS TECH – Vilnius Gediminas Technical University.
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