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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=170933"><dc:title>Experimental investigation and optimization of tool life in high-pressure jet-assisted turning of Inconel 718</dc:title><dc:creator>Kramar,	Davorin	(Avtor)
	</dc:creator><dc:creator>Cica,	Djordje	(Avtor)
	</dc:creator><dc:subject>high-pressure jet-assisted turning</dc:subject><dc:subject>tool life</dc:subject><dc:subject>Inconel 718</dc:subject><dc:subject>optimization</dc:subject><dc:description>The application of high-pressure jet-assisted (HPJA) machining can increase tool life during machining, as the cutting fluid penetrates better into the interfaces between the tool and the workpiece. In this work, tool life in semi-finish turning of Inconel 718 with coated carbide tools and a high-pressure coolant supply is investigated. In a preliminary experiment, tool life was compared between conventional flooding and HPJA machining. The results show tool life that is more than twice as long with HPJA at higher cutting speeds. In the main experiment, tool life was investigated as a function of various high-pressure-jet parameters (nozzle diameter, distance between the point of impact of the jet and the cutting edge and pressure of the jet) and basic cutting parameters (cutting speed and feed rate). The relationship between the above-mentioned process parameters and tool life was analyzed and modeled using response surface methodology (RSM). Analysis of variance (ANOVA) was performed to evaluate the statistical significance of each process parameter for the response. The results revealed that cutting speed is the most important factor for maximizing tool life, followed by pressure of the jet and feed rate. In addition, optimization using the biogeographic optimization (BBO) algorithm was performed and validated in this study. The results of the confirmation experiments show that the proposed optimization method is very effective and results in approximately 8.4% longer tool life compared to the best trial results.</dc:description><dc:date>2025</dc:date><dc:date>2025-07-22 09:07:08</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>170933</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
