Simulation of the influence of cutting speed and feed rate on tool life in hard turning of AISI 4140 steel-Reference-Cited by-同舟云学术

Simulation of the influence of cutting speed and feed rate on tool life in hard turning of AISI 4140 steel

Published:2023-08-01 Issue:2 Volume:41 Page:311-324
ISSN:2083-134X
Container-title:Materials Science-Poland
language:en
Short-container-title:

Author:

Paengchit Phacharadit¹,Saikaew Charnnarong²

Affiliation:

1. 1 Department of Industrial Technology, Faculty of Industrial Education, Rajamangala University of Technology Krungthep , Bangkok Thailand

2. 2 Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University , Khon Kaen Thailand

Abstract

Abstract Tool life performances of Al2O3+TiC and TiN+AlCrN tool inserts were investigated experimentally under different cutting conditions in turning AISI 4140 steel. The tool life model is defined in accordance with a maximum surface roughness of 0.8 μm for the tool life criterion. The relationships between machining factors (i.e., cutting speed and feed rate) and tool life were obtained by Taylor’s formular. The sensitivity of cutting speed and feed rate to tool life was evaluated by Monte Carlo simulation. The results showed that turning with high cutting speeds and feed rates decreased the tool life of both inserts. At different cutting speeds and feed rates, Al2O3+TiC exhibited better tool life performance than TiN+AlCrN. In addition, the simulation results indicated the average tool life of Al2O3+TiC was approximately 40% greater than that of TiN+AlCrN by varying cutting speeds below and above the cutting speed of 220 m/min while keeping the feed rate constant at 0.06 mm/rev. Similarly, when keeping the cutting speed constant at 220 m/min, the average tool life of Al2O3+TiC was approximately 45% greater than that of TiN+AlCrN by varying feed rates below and above the feed rate of 0.06 mm/rev. Variations of tool life values by varying cutting speeds were more sensitive than those by varying feed rates for both tool inserts.

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.sciendo.com/pdf/10.2478/msp-2023-0021

Reference34 articles.

1. John R, Lin R, Jayaraman K, Bhattacharyya D. Modified Taylor’s equation including the effects of fiber characteristics on tool wear when machining natural fiber composites. Wear. 2021;468–469: No. 203606, doi: 10.1016/j.wear.2020.203606.

2. Farid AA, Sharif S, Idris MH. Performance and wear mechanisms of uncoated, TiAlN, and AlTiN-coated carbide tools in high-speed drilling of Al-Si alloy. Int J Adv Manuf Technol. 2021;113:2671–84. doi: 10.1007/s00170-021-06663-w.

3. Milan JCG, Machado AR, Tomaz IV, da Silva LRR, Barbosa CA, Mia M, Pimenov DY. Effects of calcium-treatment of a plastic injection mold steel on the tool wear and power consumption in slot milling. J Mater Res Technol. 2021;13:1103–14, doi: 10.1016/j.jmrt.2021.05.021.

4. Kuo CP, Su SC, Chen SH. Tool life and surface integrity when milling inconel718 with coated cemented carbide tools. J Chin Inst Eng, Trans Chin Inst Eng, Series A. 2021;33(6):915–22. doi: 10.1080/02533839.2010.9671680.

5. Santos ALB, Dos Duarte MAV, Abrao AM, Machado AR. An optimization procedure to determine the coefficients of the extended Taylor’s equation in machining. Int J Mach Tools Manuf. 1999;39(1):17–31, doi: 10.1016/S0890-6955(98)00025-X.