Optimizacija kakovosti procesa končnega struženja nerjavečega jekla 316L za prilagojeno rezalno orodje

he purpose of this thesis was to investigate the effect of a customised tool's cutting-edge radius and high-pressure jet cooling on the CNC finish turning of 316L stainless steels. The primary goal was to use the design of experiment to determine the best process parameter,particularly to achieve N5 grade surface quality while also improving productivity, reducing forces, and minimising cutting temperature, as well as producing acceptable chips. RSM-based Box-Behnken design was used to investigate the relationship between cutting-edge radius, feed, and depth of cut. ANOVA and regression analysis were used to analyse data.The expected optimised values yielded the desired output responses verified by the conformity experiments. Finally, this study revealed findings that support clean manufacturing.

Publication Details

Journal
Repository of the University of Ljubljana (University of Ljubljana)
Published
2025-10-14
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Optimizacija kakovosti procesa končnega struženja nerjavečega jekla 316L za prilagojeno rezalno orodje

Repository of the University of Ljubljana (University of Ljubljana)
Advanced machining processes and optimization
article

Optimizacija kakovosti procesa končnega struženja nerjavečega jekla 316L za prilagojeno rezalno orodje

article en

Abstract

he purpose of this thesis was to investigate the effect of a customised tool's cutting-edge radius and high-pressure jet cooling on the CNC finish turning of 316L stainless steels. The primary goal was to use the design of experiment to determine the best process parameter,particularly to achieve N5 grade surface quality while also improving productivity, reducing forces, and minimising cutting temperature, as well as producing acceptable chips. RSM-based Box-Behnken design was used to investigate the relationship between cutting-edge radius, feed, and depth of cut. ANOVA and regression analysis were used to analyse data.The expected optimised values yielded the desired output responses verified by the conformity experiments. Finally, this study revealed findings that support clean manufacturing.

Repository of the University of Ljubljana (University of Ljubljana)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Advanced machining processes and optimization
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