4.7 Article

Tool wear patterns and their promoting mechanisms in hybrid cooling assisted machining of titanium Ti-3Al-2.5V/grade 9 alloy

Journal

TRIBOLOGY INTERNATIONAL
Volume 174, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.triboint.2022.107773

Keywords

Lubri-cooling; Tribology; Wear; Titanium; Ti-3Al-2.5V/grade 9 Turning

Funding

  1. National Science Center [2020/37/K/ST8/02795]
  2. Polish National Agency for Academic Exchange (NAWA) [PPN/ULM/2020/1/00121]

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Hybrid lubri-cooling is an effective technique that provides synergistic cooling and lubrication effect in the cutting of titanium alloys, reducing tool wear and chemical elements adhesion. The combination of LN2 and MQL resulted in the least tool wear and severe wear on the cutting edge.
Hybrid lubri-cooling is a latest technology that provides synergistic cooling and lubrication effect in the machining area especially in the cutting of titanium and its alloys. In this current study, cryogenic-LN2, minimum quantity lubrication (MQL), and hybrid cryogenic LN2-MQL are applied and compared against dry medium in perspective of in-depth analysis of tool flank wear, EDS mapping, and intensity of tool wear. Experimental results showed that in comparison with dry, hybrid LN2-MQL substantially reduced the tool flank and rake wear fol-lowed by LN2, MQL, and dry conditions, respectively. Additionally, the SEM and EDS analysis depicted relatively less severe wear and chemical elements adhesion on the tool's main cutting edge, while turning titanium alloy under a hybrid LN2-MQL lubri-cooling environment. In addition, the dry condition has maximum value of tool wear progressions i.e., 1.04 mm and hybrid LN2-MQL have 0.06 mm while machining titanium alloys. When tool wear is evaluated from a tribological point of view, the reduction in flank wear value compared to dry machining is 89.4 %, 92.3 % and 94.2 % owing to MQL, LN2, MQL and hybrid LN2-MQL cutting strategies. In terms of crater wear, the improvement was 87.7 %, 90.4 % and 90.8 % thanks to MQL, LN2, MQL and hybrid LN2-MQL.

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