A robust embedded load cell sensor for tool life prognosis and smart sawing of medium carbon steel

Ping Chi Tsai, Yeau Ren Jeng, Chien Wei Tseng

Research output: Contribution to journalArticlepeer-review

Abstract

An embedded load cell sensor is proposed for the tool life prognosis and thrust force control of a band saw machine. The sensor enables the tool life and surface quality of the machined workpiece to be effectively improved through the use of a single sensing device strategically located in the cutting machine. The feasibility of the proposed sensor is demonstrated experimentally using a double-column horizontal sawing machine with medium carbon steel bars as the workpiece material. An investigation is performed into the effects of the cutting force, feed rate, and machining time on the machined workpiece’s tool wear and surface roughness. It is shown that the machined workpiece’s thrust force, tool wear, and surface roughness are strongly correlated and increase over time. Based on the experimental results, a feedback control system is proposed for maintaining a constant thrust force on the band saw during cutting under even the most challenging conditions. Overall, the results confirm that a single embedded load cell sensor located in a key position can provide effective force monitoring. Such force monitoring enables a control methodology to maintain the optimal cutting conditions in the sawing of medium carbon steel and improve the tool life and machined part quality.

Original languageEnglish
Pages (from-to)1353-1364
Number of pages12
JournalInternational Journal of Advanced Manufacturing Technology
Volume121
Issue number1-2
DOIs
Publication statusPublished - 2022 Jul

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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