Agglomerated Tungsten Carbide: A New Approach for Tool Surface Reinforcement

Ditsche, Adrian; Seefeld, Thomas

doi:10.4028/www.scientific.net/kem.809.121

Cited by 2 publications

(1 citation statement)

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“…The effect of laser parameters has also been seen in other laser applications, for example selective laser sintering (SLS). Ditsche and Seefeld [15] used a pulsed laser to cause recrystallisation to form agglomerates in WC powder. The power was varied between 2.75-3.25 kW.…”

Section: Introductionmentioning

confidence: 99%

Understanding The Surface Integrity of Laser Surface Engineered Tungsten Carbide

Hazzan

Pacella

See

2021

Preprint

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The study investigated the effect of fibre laser processing (1060 nm, 240 ns pulse duration) on tungsten carbide (WC). Fluence, frequency, and the interaction effect of these were the most influential factors on the surface integrity and crack formation. In this paper, a crack classification system was developed, and a crack density variable was introduced to estimate the number of cracks and crack type within a 1 mm2 area size. ANOVA was used to analyse how fluence (0.05–0.20 J/cm2) and frequency (5–100 kHz) altered the crack density. The crack density increased between 0.050–0.099 J/cm2 across all frequency settings then decreased as the fluence increased to 0.20 J/cm2. Superficial cracks were present in all frequency settings but particularly with lower fluence settings. Micro-cracks were more likely to form between 0.050–0.135 J/cm2. Deep cracks did not present until 40 kHz or above 0.099 J/cm2 across the frequency settings and were situated around balling and splatter defects. The crack density was minimised at 0.149 J/cm2 fluence and 52.5 kHz. To the author’s knowledge for the first time a quantitative analysis of the crack formation mechanism for brittle materials is proposed (post laser processing). In addition, a linear model generated to predict surface roughness performed best at moderate to medium level of processing (fluences in the region of 0.050–0.099 J/cm2) with an error between 1 % to 10 %. The model failed to predict the material response as accurately at higher fluences with percentage errors between 15 % to 36 %.

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Section: Introductionmentioning

confidence: 99%