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Drilling performance prediction of HDPE/Washingtonia fiber biocomposite using RSM, ANN, and GA optimization

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Abstract

Polymeric biocomposites are emerging as a convenient alternative for traditional materials used in light-weight structural applications. Many studies on the machining of biocomposites were published in recent years. However, their number remains limited compared to the number of studies on the machining of glass and carbon fiber–reinforced composites. Therefore, drilling of Washingtonia filifera (WF) fiber-reinforced high-density polyethylene (HDPE) biocomposites was studied in this research by varying various factors, such as drill diameter (d), feed rate (f), and spindle speed (N) using full factorial design (L27). Response surface methodology (RSM) was applied for the drilling experiment and was used in conjunction with artificial neural network (ANN) in mathematical modeling of the drilling operation parameters. The results showed excellent agreement between experimental data and RSM/ANN predictions. Hence, the developed biocomposite HDPE/WF can be used in the polymer field to improve overall product performances. Furthermore, the drilling parameter optimization results obtained by the genetic algorithm (GA) combined with ANN are almost similar to those of the desirability function (DF) of RSM, especially f = 50 mm/min, N = 806 rev/min, and d = 5 mm.

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Funding

The authors received financial support from DGRSDT (la Direction Générale de la Recherche Scientifique et du Développement Technologique, Algérie) for their support in this work. Authors Ahmed Belaadi and Messaouda Boumaaza are funded by research project number A11N01UN210120210001 from January 1, 2021.

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Authors and Affiliations

  1. Département de Génie Mécanique, Faculté de Technologie, Université 20 Août 1955 Skikda, El-Hadaiek, Skikda, Algeria

    Ahmed Belaadi

  2. Laboratoire LSPN, Université 8 Mai 1945 Guelma, BP 401, 24000, Guelma, Algeria

    Ahmed Belaadi

  3. Laboratoire LGCH, Université 8 Mai 1945 Guelma, BP 401, 24000, Guelma, Algeria

    Messaouda Boumaaza

  4. Department of Mechanical Engineering, College of Engineering, Najran University, Najran, Saudi Arabia

    Hassan Alshahrani

  5. Aerospace Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia

    Mostefa Bourchak

  6. Laboratory of Biocomposite Technology, Institute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia, Serdang, Malaysia

    Mohammad Jawaid

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  1. Ahmed Belaadi
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  2. Messaouda Boumaaza
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  3. Hassan Alshahrani
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  4. Mostefa Bourchak
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  5. Mohammad Jawaid
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Contributions

Ahmed Belaadi: conceptualization, investigation, methodology, supervision, writing – review and editing. Messaouda Boumaaza: conceptualization, investigation, writing – review and editing. Hassan Alshahrani: investigation, writing – review and editing. Mostefa Bourchak: investigation, writing – review and editing. Mohammad Jawaid: investigation, writing – review and editing.

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Correspondence to Ahmed Belaadi.

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Belaadi, A., Boumaaza, M., Alshahrani, H. et al. Drilling performance prediction of HDPE/Washingtonia fiber biocomposite using RSM, ANN, and GA optimization. Int J Adv Manuf Technol 123, 1543–1564 (2022). https://doi.org/10.1007/s00170-022-10248-6

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