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Effect of cutting parameters on the machinability of X37CrMoV5-1 hot work tool steel

  • Mustafa Özdemir

    Mustafa Özdemir was born in 1984 in Sivas, Turkey. He completed his B.Sc. and M.Sc. degrees at the Faculty of Technical Education, Gazi University, Ankara, Turkey, followed by his Ph.D. at the Graduate School of Natural and Applied Sciences at Gazi University, Ankara, in 2015. He is working as an Associate Professor at Vocational High School of Bozok University. He has published many papers related to the machinability of steels. Research areas include bending dies, sheet metal dies, heat treatment, deformation of metals, drilling with electro erosion, computer-aided design, computer-aided manufacturing, and CNC.

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Published/Copyright: March 16, 2022
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Materials Testing
From the journal Materials Testing Volume 64 Issue 3

Abstract

Hard turning was carried out on an X37CrMoV5-1 hot work tool steel with a hardness of 50 ± 2 HRC on a computer numerical control lathe, using a ceramic insert without the use of a coolant. The cutting parameters included three different cutting speeds, three different feed rates, and three different cutting depths. A full factorial design (FFD) was created, and 33=27 experiments were carried out. The effects of cutting parameters on cutting force (Fc), surface roughness (Ra), material removal rate (MRR), specific cutting energy (SCE), current (Cu), and sound intensity (SI) were investigated. As a result of the analysis of variance (ANOVA), the effect ratios of cutting parameters on Fc, Ra, MRR, SCE, Cu, and SI were examined, and important parameters were determined. As a result, the effective rates of the feed rate, which is the most effective parameter, on Fc, Ra, and MRR were determined as 61.72, 95.90, and 61.70%, respectively. The cutting depth was 54.81 and 34.37% on SCE and SI, respectively, and the cutting speed was effective on Cu by 79.87%. By using FFD and response surface methodology (RSM), the regression equations of the results of Fc, Ra, MRR, SCE, Cu, and SI were extracted, and r 2 values were examined. In the validation experiments performed after the optimization experiments, the experimental results were estimated using FFD, RSM, and Taguchi method, and the differences between them were analyzed.

Keywords: ANOVA; CNC turning; cutting parameters; machinability; X37CrMoV5-1 steel
Corresponding author: Mustafa Özdemir, Machine and Metal Technology Department, Yozgat Bozok University, Yozgat, Turkey, E-mail:

About the author

Mustafa Özdemir

Mustafa Özdemir was born in 1984 in Sivas, Turkey. He completed his B.Sc. and M.Sc. degrees at the Faculty of Technical Education, Gazi University, Ankara, Turkey, followed by his Ph.D. at the Graduate School of Natural and Applied Sciences at Gazi University, Ankara, in 2015. He is working as an Associate Professor at Vocational High School of Bozok University. He has published many papers related to the machinability of steels. Research areas include bending dies, sheet metal dies, heat treatment, deformation of metals, drilling with electro erosion, computer-aided design, computer-aided manufacturing, and CNC.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Published Online: 2022-03-16
Published in Print: 2022-03-28

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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  6. Surface roughness prediction of wire electric discharge machining (WEDM)-machined AZ91D magnesium alloy using multilayer perceptron, ensemble neural network, and evolving product-unit neural network
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  12. Effect of cutting parameters on the machinability of X37CrMoV5-1 hot work tool steel
  13. Cutting forces during drilling of a SiCp reinforced Al-7075 matrix composite
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https://doi.org/10.1515/mt-2021-2029
Keywords for this article
ANOVA; CNC turning; cutting parameters; machinability; X37CrMoV5-1 steel

Articles in the same Issue

  1. Frontmatter
  2. Effect of water absorption and hydroxyapatite addition on mechanical and microstructural properties of dental luting cements
  3. Mechanical properties and corrosion behavior of a friction stir processed magnesium alloy composite AZ31B–SiC
  4. Multi-objective optimization of build orientation considering support structure volume and build time in laser powder bed fusion
  5. Fatigue properties and crack growth behavior of 7N01 and 6N01 aluminum alloys
  6. Surface roughness prediction of wire electric discharge machining (WEDM)-machined AZ91D magnesium alloy using multilayer perceptron, ensemble neural network, and evolving product-unit neural network
  7. Effect of FeTi-FeB inoculation on the shape of carbide reinforcements in hypoeutectic high chromium white cast iron
  8. Development of an eutectic-based self-healing in Al–Si cast alloy
  9. Effect of process parameters on mechanical properties of additive manufactured SMP structures based on FDM
  10. Effect of calcination and sintering temperature on porosity and microstructure of porcelain tiles
  11. Effect of particles on tensile and bending properties of jute epoxy composites
  12. Effect of cutting parameters on the machinability of X37CrMoV5-1 hot work tool steel
  13. Cutting forces during drilling of a SiCp reinforced Al-7075 matrix composite
  14. Modeling and simulation of tensile properties of r-LDPE/GSF composite using the response surface methododology
  15. Machinability of alloy ductile iron and forged 16MnCr5 steel
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