Simulation and Experimental Study on the Effect of Edge Radius on the Cutting Condition of Carbide Inserts

Bibliographic Details
Title: Simulation and Experimental Study on the Effect of Edge Radius on the Cutting Condition of Carbide Inserts
Authors: Shitao Chen, Zhiyuan Bao, Yuhong Yan, Binghai Lyu, Hongyu Chen, Wei Hang, Jinhu Wang, Wenhong Zhao, Julong Yuan, Xu Wang
Source: Machines, Vol 12, Iss 4, p 216 (2024)
Publisher Information: MDPI AG, 2024.
Publication Year: 2024
Collection: LCC:Mechanical engineering and machinery
Subject Terms: cutting edge preparation, cutting force, shear-thickening polishing, cutting edge radius, cutting performance, Mechanical engineering and machinery, TJ1-1570
More Details: Carbide tools are extensively used in the automotive, aerospace, and marine industries. However, an unsuitable tool-edge treatment can affect the cutting performance of carbide tools. In the tool-cutting process, the cutting edge radius is one of the major factors that affect the cutting force, temperature, and quality. In this study, a cutting simulation model of carbide inserts was used to analyze the effect of the cutting edge radius on the cutting performance. The cutting edge radii of the inserts were prepared using shear-thickening polishing methods, followed by cutting experiments. The accuracy of the cutting simulation model was verified through cutting experiments. The simulation results showed that under low-speed cutting conditions, the cutting force and temperature tended to increase with an increase in the cutting edge radius, and the cutting temperature was less affected by the cutting edge radius. The results of the cutting force and cutting temperature obtained from the experiment and simulation were consistent; therefore, the cutting simulation model was verified to be reliable. The results indicate that modeling cutting simulation is a promising research method for predicting the cutting performance of tools.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2075-1702
Relation: https://www.mdpi.com/2075-1702/12/4/216; https://doaj.org/toc/2075-1702
DOI: 10.3390/machines12040216
Access URL: https://doaj.org/article/54c98470b79443fb99361f17f66966cd
Accession Number: edsdoj.54c98470b79443fb99361f17f66966cd
Database: Directory of Open Access Journals
More Details
ISSN:20751702
DOI:10.3390/machines12040216
Published in:Machines
Language:English