Optimisation of Deep Drilling Parameters on Tool Wear, Tool Surface Temperature and Job Surface Roughness

Abstract

Optimization Methods In Deep Drilling Processes, Is One Of A Vital Role For Continuous Enhancement On Quality Production And Processes By Investigating Of Optimal Cutting Conditions For Required Responses. This Study Presented The Optimization Of Cutting Parameters (Cutting Speed, Feed And Depth Of Cut) In Dry Deep Drilling Of Aisi 304 Austenitic Stainless Steel With Hss Drill Bit In Order To Achieve Minimum Tool Wear, Cutting Tool Surface Temperature And Good Job Surface Finish. The Experimental Analysis Was Conducted On Cnc Vertical Machining Center. The Taguchi?�?S L9 Orthogonal Array Technique And Analysis Of Variance (Anova) Are Used To Identify The Effect Of The Cutting Parameters On The Response. Data Collection Instruments Such As Electronic Weighting Balance, Infrared Thermometer, And Bellstone Surface Roughness Tester Used To Measure Tool Wear, Tool Surface Temperature, And Surface Roughness Respectively. Minitab 17 Software Is Used To Run Taguchi Orthogonal Array And To Analyses The Collected Data. The Experimental Anova Analysis And Taguchi Technique Revealed That The Parameters At Cutting Speed 6.28m/Min, Feed Rate 0.15mm/Rev And Depth Of Cut 0.3mm Yields Minimum Tool Wear. The Minimum Tool Surface Temperature Is Observed At Cutting Speed Of 6.28m/Min, Feed Rate 0.15mm/Rev And Depth Of Cut 0.3mm With A Percentage Contribution Of 16.94%, 30.59%, And 34.87% Respectively. The Good Surface Roughness Of Workpiece Is Obtained At Cutting Speed 6.28m/Min (Level-1), Feed 0.2mm/Rev (Level-3) And Depth Of Cut Of 0.7mm (Level-3).