Enhancing orthogonal finishing machining of Ti6Al4V with laser-ablated tool geometry modifications


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Date

2024-12

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Web of Science:
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Abstract

Finishing machining of Ti6Al4V, known for its high strength and heat conduction resistance, demands optimisation to achieve high-quality end products. This study explores modifying the chip contact length on the rake face and altering the flank face with a cavity to minimise process forces and temperatures while maintaining cutting edge integrity. The research validates the manufacturability of ultra-short pulsed laser-ablated tool geometry modifications, indicating potential for industrial scale-up. Extensive experimental evaluations under dry conditions assess the impact of tool modifications at various feed rates for planing and turning. Significant reductions in process forces and temperatures were observed with rake face modifications, particularly at a cavity distance of approximately 34 mu m. Ideal performance was noted for feed rates between 0.035 and 0.045 mm for planing and 0.040 to 0.045 mm/rev for turning. Smoothed Particle Hydrodynamics (SPH) simulations employing a Johnson-Cook material model were used to analyse chip formation and to predict the process forces. These simulations revealed a clear change in the chip formation and lower process forces and temperatures. The SPH results closely matched experimental outcomes, with a discrepancy of less than 7 % in cutting forces for both tool types, although feed forces were underestimated by about 50 %. The effect of the tool modification is reflected accurately at the respective feeds.

Publication status

published

Editor

Book title

Volume

135

Pages / Article No.

3317 - 3341

Publisher

Springer

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Ti6AI4V cutting; Laser modification; Laser micromachining; Micro-geometry; SPH simulation

Organisational unit

09473 - Mohr, Dirk / Mohr, Dirk

Notes

Funding

149436 - GPU-Enhanced Metal Cutting Simulation using Advanced Meshfree Methods (SNF)

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