Investigation of CNC Turning Parameters by Using a Vortex Tube Cooling System
نویسندگان
چکیده
منابع مشابه
Optimization of Spindle loading and Tool Wear for CNC Turning Machine by Using Intelligent System
Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...
متن کاملOptimization of Spindle loading and Tool Wear for CNC Turning Machine by Using Intelligent System
Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...
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Optimization of cutting parameters in CNC Turning
Many manufacturing industries involve machining operations. In metal cutting the turning process is one of the most fundamental cutting processes used. Surface finish and dimensional tolerance, are used to determine and evaluate the quality of a product, and are major quality attributes of a turned product. In this paper experimental work has been carried out for the optimization of input param...
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This experimental workanalysis the influence of cutting conditions on surface roughness of EN-8during machining by CNC turning. Analysis of variance (ANOVA) is employed to investigate the influence of cutting speed, feed rate, and depth of cut and coolant type on surface roughness height Ra. The influence of the interaction of cutting speed, feed rate, depth of cut and coolant type on surface r...
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ژورنال
عنوان ژورنال: Acta Physica Polonica A
سال: 2015
ISSN: 0587-4246,1898-794X
DOI: 10.12693/aphyspola.127.881