INVESTIGATION AND MODELING OF CUTTING TOOL TEMPERATURE IN TURNING OF INCONEL 625 STEEL BY USING TAGUCHI METHOD AND LONG SHORT TERM MEMORY NETWORK

In this paper, the results of an experimental investigation of cutting tool temperature in turning operations are presented. The cutting tool temperature is a very relevant in order to avoid excessive tool wear and tool damage. This study explains the impact of cutting speed, feed rate and depth of...

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Veröffentlicht in:	Proceedings in Manufacturing Systems 2020-01, Vol.15 (2), p.59-64
Hauptverfasser:	Salihu, Shpetim, Kovacic, Miha, Zuperl, Uros
Format:	Artikel
Sprache:	eng
Schlagworte:	Cutting parameters Cutting speed Cutting tools Cutting wear Deep learning Design of experiments Feed rate Impact damage Nickel base alloys Nuclear power plants Regression analysis Short term Software Superalloys Taguchi methods Temperature Tool wear Turning (machining)
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