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Predictive maintenance methodology in sheet metal progressive tooling: a case study

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Abstract

Condition based Maintenance helps in predicting the condition of machines well in advance to take the decision for most cost optimized maintenance activity. By various developments in identifying the condition of machines, the concept of predictive maintenance is getting well established now. The industry has also begun to apply the lessons learned in sheet metal tooling. A number of studies have shown the methodology for tracking the condition of tooling. Unlike machine tools, sheet metal tooling poses a lot of technical as well as economic challenges in preparing a realistic model to demonstrate the application of condition-based monitoring for predictive maintenance. Selecting the tooling, identification of marginal elements, data capturing and synthesis, establishing a threshold limit for the condition selected, and developing the mathematical model to give an effective solution to the user are major steps in the process. A case of high-speed progressive tooling is depicted here to clarify the systematic methodology to be followed in implementing predictive maintenance and to provide a user-friendly solution. A case study illustrates the method for providing a cost optimized trigger for maintenance.

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Fig. 1

Adapted from Sethiya, 2006)

Fig. 2

adapted from Peng et al. (2010)

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Acknowledgements

The authors would like to thank Mr. Indresh Patel, Mr. N.S. Kulkarni, and Mr. A.B. Rajdev for their contributions to the experimental activity.

Funding

This developmental work was financially supported by Engineered Tooling Solutions, Larsen & Toubro Limited, India (No: 2500.1997022).

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Authors and Affiliations

  1. Symbiosis Institute of Technology, SIU, Pune, 412115, India

    Ashutosh Kolhatkar

  2. Mechanical Engineering, Symbiosis Institute of Technology, SIU, Pune, 412115, India

    Anand Pandey

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  1. Ashutosh Kolhatkar
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  2. Anand Pandey
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Correspondence to Ashutosh Kolhatkar.

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Kolhatkar, A., Pandey, A. Predictive maintenance methodology in sheet metal progressive tooling: a case study. Int J Syst Assur Eng Manag 14 (Suppl 4), 980–989 (2023). https://doi.org/10.1007/s13198-021-01564-3

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