Statistical Analysis of the Effect of the Cutting Tool Coating Type on Sustainable Machining Parameters
| Autor: | Fuat Kara, Nursel Altan Özbek, Onur Özbek |
|---|---|
| Přispěvatelé: | [Belirlenecek] |
| Rok vydání: | 2021 |
| Předmět: |
Cryogenic Treatment
noise business.product_category Materials science engineering.material Vibration AISI P20 chemistry.chemical_compound Taguchi methods Wear Machining Coating Tungsten carbide sustainable machining Surface roughness General Materials Science Composite material Force Cutting tool Mechanical Engineering Temperature Cvd Pvd chemistry Surface-Roughness Steel Mechanics of Materials surface roughness engineering Die (manufacturing) Prediction business cutting temperature |
| Zdroj: | Journal of Materials Engineering and Performance. 30:7783-7795 |
| ISSN: | 1544-1024 1059-9495 |
| DOI: | 10.1007/s11665-021-06066-8 |
| Popis: | Good surface roughness and topography are of great importance in plastic mold materials. This study investigated the effects of cutting parameters on cutting temperature, vibration (g), surface roughness (Ra), and noise (N) in the turning of AISI P20 die steel using coated tungsten carbide cutting tools. Experiments were carried out using the Taguchi L-18 experimental design with cutting tools with two different types of coatings (CVD and PVD), three different cutting speeds (100, 150, and 200 m/min), three different feed rates (0.1, 0.15, and 0.2 mm/rev), and a constant cutting depth (1 mm). As a result of the study, the PVD-coated tools exhibited a higher performance for all outputs (cutting temperature, g, Ra, and N). It was observed that the vibration and surface roughness were proportional, vibration was mostly affected by feed rate, and increasing cutting speed and feed rate also increased the temperature and noise in the cutting zone. According to ANOVA results, the most effective parameter on surface roughness was feed rate (97.24%), the most effective parameter on vibration was cutting tool type (57.34%), and finally, the most effective parameter on noise was feed rate (50.37%). WOS:000687546800008 2-s2.0-85113340973 |
| Databáze: | OpenAIRE |
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