Abstract

This study investigates the drilling performance of jute fibre reinforced bio-composites under different machining conditions to reduce performance parameters like surface roughness, tool type and delamination damage (entry and exit). Jute composites were fabricated using a process called hand layup. Drilling experiments were carried out using full factorial method focusing on three parameters: Feed Rate (0.05mm/rev, 0.1mm/rev and 0.15mm/rev), Drill bit Type (Titanium Nitride-TiN, High Speed Steel-HSS and High-Speed Steel Cobalt HSS-Co) and Lubrication condition (Dry, Minimum Quantity Lubrication-MQL and Cryogenic-LN2). A total of 27 experimental trials were performed, and the responses were measured for each condition. Statistical analysis was performed with the Minitab software, with Analysis of Variance (ANOVA) bring used to identify significant process parameters and regression models were developed based on the data gathered to model relationships between inputs and outputs. It concluded that lubrication condition was proven to have the most significant influence on surface roughness and MQL outperformed dry and cryogenic condition. Moderate effect was observed for feed rate, whereas drill type had comparatively negligible effect in the considered range. Residual analysis confirmed the adequacy and validity of the developed models. Desirability Function Approach based on multi-objective optimization was conducted to minimize all responses simultaneously. The best combination of drilling parameters explored was 0.05mm/rev feed rate, Minimum Quantity Lubrication (MQL) lubrication and Titanium Nitride-TiN drill bit, which resulted in surface roughness value of 2.436, tool wear of 4.859, entry delamination of 1.016 and exit delamination of 1.046 with a composite desirability of 0.921. The findings highlight the critical role of lubrication in improving machining performance and provide a practical approach for optimizing drill conditions in sustainable bio-composite materials.

Publication Date

4-2026

Document Type

Thesis

Student Type

Graduate

Degree Name

Mechanical Engineering (MS)

Department, Program, or Center

Mechanical Engineering

Advisor

Salman Pervaiz

Advisor/Committee Member

Wael A. Samad

Advisor/Committee Member

Umer Javed

Campus

RIT Dubai

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