MACHINABILITY STUDIES OF WROUGHT TITANIUM ALLOY Ti-6Al-4V BASED ON ORTHOGONAL ARRAY DESIGN

K. M. Rajan, Ashok Kumar Sahoo, Bharat Chandra Routara, Amlana Panda and Ramanuj Kumar
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K. M. Rajan: School of Mechanical Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar 751024, Odisha, India†Central Tool Room and Training Centre (CTTC), Bhubaneswar 751024, Odisha, India
Ashok Kumar Sahoo: School of Mechanical Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar 751024, Odisha, India
Bharat Chandra Routara: School of Mechanical Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar 751024, Odisha, India
Amlana Panda: School of Mechanical Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar 751024, Odisha, India
Ramanuj Kumar: School of Mechanical Engineering, Kalinga Institute of Industrial Technology (KIIT), Deemed to be University, Bhubaneswar 751024, Odisha, India

Surface Review and Letters (SRL), 2023, vol. 30, issue 03, 1-17

Abstract: This research focuses on wrought Ti-6Al-4V machining using coated carbide inserts under flood cooling to study the machinability characteristics. Machining parameters are optimized, and mathematical models are developed for correlations. Surface roughness lies between 0.215μm and 0.830μm and even below 1μm during machining. Flank wear lies within 0.033–0.16mm which is below the 0.2mm criteria of wear. Cutting temperature lies between 31∘C and 158∘C. The reduction of cutting temperature and chip serration under flood cooling and the subsequent transfer of heat from the shear zones help to generate good surface finish and may be due to the evolution of a lower wear rate. Abrasion, chipping, adhesion and built-up-edge are seen as major mechanisms of wear. The optimal conditions are found to be a depth of cut of 0.1mm, 0.1mm/rev feed rate and 70m/min cutting speed. There is an improvement in results at optimal conditions of 38.42% for Ra, 60.86% for VBc and 27% for T, respectively, than initial parametric conditions. Further, grey relational grade has been improved by 0.263. Machinability models developed through quadratic regression are observed to be significant.

Keywords: Machinability; Ti-6Al-4V; flank wear; surface roughness; cutting temperature; grey relational technique; regression (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S0218625X23500142

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