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Delamination in drilling of jute/cork-reinforced polymer biosandwich materials: optimization by response surface methodology and genetic algorithm

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Abstract

The best practice to obtain a high-quality hole drilling is to minimize the delamination factor during the drilling process. This can be assured by correctly selecting the appropriate process parameters. The most significant parameters affecting the performance response are feed rate (f), spindle speed (N) and drill diameter (d). The current study aims to identify appropriate tools for drilling the hybrid jute/cork biosandwich based on multi-objective response surface methodology (RSM) and genetic algorithm (GA). The work aims to optimize the drilling parameters for minimizing the delamination factor of two tools, one made from High Speed Steel (HSS) and the other made from High Speed Steel covered with Titanium Nitride (HSS-TiN). The results revealed that the HSS-TiN tool is the more suitable to achieve a minimum delamination of 1.165 compared to the HSS tool (1.214 and 1.249 obtained by RSM and GA, respectively), with 50 mm/min feed rate, 1800 rpm spindle speed and a 5-mm diameter.

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Funding

The authors are thankful to the Deanship of Scientific Research at Najran University for funding this work under the Research Collaboration Funding program grant code (NU/RC/SERC/11/4).

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AB: conceptualization, investigation, methodology, supervision, writing–review and editing. MB: conceptualization, investigation, writing–review and editing. HA: investigation, writing–review and editing. MB: investigation, writing–review and editing.

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Correspondence to Ahmed Belaadi.

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Highlights

• Short hybrid jute fibers/cork/epoxy biosandwich drilling carried out.

• HSS-TiN tool generated minimal delamination.

• Feed rate is identified as the most significant drilling parameter.

• Optimization of the jute/cork biosandwich according to a desirability function approach and GA.

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Belaadi, A., Boumaaza, M., Alshahrani, H. et al. Delamination in drilling of jute/cork-reinforced polymer biosandwich materials: optimization by response surface methodology and genetic algorithm. Int J Adv Manuf Technol 122, 2095–2111 (2022). https://doi.org/10.1007/s00170-022-10001-z

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  • DOI: https://doi.org/10.1007/s00170-022-10001-z

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