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Application of grey fuzzy logic in abrasive jet machining process

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Abstract

Micro Abrasive Jet Machining (µAJM) of glass materials is being used widely in MEMS and biomedical industries. Precise control of input parameters is necessary to obtain quality holes in these materials. In the present study, parameter optimization of AJM is carried out with a hybrid multi-criteria optimization technique namely Gray based Fuzzy Logic. The control variables used in this study include Nozzle diameter, Stand-off distance, Jet pressure and Angle of impact. The process performance measures taken in the study include Material Removal Rate (MRR) and Radial Over Cut (ROC). The best parameter combination for maximum MRR was found at SOD 2.5 mm, angle of impact 85°, pressure 4.5 kgf/cm2 and nozzle diameter 3.5 mm. The best parameter combination for minimum ROC was found at SOD 2.5 mm, angle of impact 85°, pressure 5 kgf/cm2 and nozzle diameter 2.5 mm. Gray based Fuzzy Logic is conducted to determine the most influencing parameter for AJM with maximum MRR and minimum ROC. The angle of impact is found to be the most influencing parameter.

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Authors and Affiliations

  1. Department of Mechanical Engineering, St. Joseph’s College of Engineering and Technology Palai, Kottyam, Kerala, 686579, India

    Lijo Paul, Sachin Jose & Sebin Babu

  2. Department of Mechanical Engineering, IMPACT College of Engineering & Applied Sciences, Sahakaranagar South, Kodigenhali, Bangalore, Karnataka, 560092, India

    Jalumedi Babu

Authors
  1. Lijo Paul
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  2. Jalumedi Babu
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  3. Sachin Jose
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  4. Sebin Babu
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Correspondence to Lijo Paul.

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Paul, L., Babu, J., Jose, S. et al. Application of grey fuzzy logic in abrasive jet machining process. Sādhanā 47, 16 (2022). https://doi.org/10.1007/s12046-021-01796-w

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  • DOI: https://doi.org/10.1007/s12046-021-01796-w

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