Research on Tool Cutting Performance and Turning Simulation

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چکیده

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منابع مشابه

Prediction Model for CNC Turning on AISI316 with Single and Multilayered Cutting tool Using Box Behnken Design (RESEARCH NOTE)

Austenitic stainless steels (AISI316) are used for many commercial and industrial applications for their excellent corrosive resistance. AISI316 is generally difficult to machine material due to their high strength and high work hardening tendency. Tool wear (TW) and surface roughness (SR) are broadly considered the most challenging phases causing poor quality in machining. Optimization of cutt...

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Cutting tool wear estimation for turning

The experimental investigation on cutting tool wear and a model for tool wear estimation is reported in this paper. The changes in the values of cutting forces, vibrations and acoustic emissions with cutting tool wear are recoded and analyzed. On the basis of experimental results a model is developed for tool wear estimation in turning operations using Adaptive Neuro fuzzy Inference system (ANF...

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Simulation of Cutting Process in Turning

This paper presents simulation of cutting process by turning of polyamide PA 66, the simulation based on approach Arbitrary Lagrangian Eulerian, ALE. Was taken into account a tool knife CNMA from Coromant. The flow stress of the workpiece is modeled as function of strain, strain rate and temperature, so as to reflect its dynamic changes in physical properties. In this way, the influences of dep...

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Investigating Flank Wear and Cutting Force on Hard Steels by CBN Cutting Tool by Turning

In this research work a series of tests were conducted in order to determine flank wear and cutting force FY on hard AISI 440 C martensitic stainless steel and SCM 440 alloy steels. The operating parameters are cutting speed, feed rate and a constant depth of cut to investigate the flank wear and cutting force. No cutting fluid was used during the turning process. The cutting tool used was CBN ...

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ژورنال

عنوان ژورنال: MATEC Web of Conferences

سال: 2018

ISSN: 2261-236X

DOI: 10.1051/matecconf/201817503059