MECHANICAL & APPLIED SCIENCE DOMAIN
Published April 17, 2025 | Version v1
Journal article Open

Design and Analysis of Single Point Cutting Tools

Authors/Creators

Description

Single point cutting tools are essential in machining processes, particularly in turning operations where precision and efficiency are critical. This paper explores the design parameters of single point cutting tools, including tool geometry, material selection, and cutting-edge modifications. The study investigates the impact of rake angle, relief angle, nose radius, and tool material on cutting performance, tool wear, and surface finish. Finite element analysis (FEA) and experimental validation are employed to optimize tool design for enhanced durability and machining efficiency. The findings provide valuable insights into improving tool life and machining accuracy for various industrial applications.

Files

Design and Analysis of Single Point Cutting Tools.pdf

Files (279.5 kB)

Additional details

References

  • Bhattacharya, A., Sahoo, P., & Chattopadhyay, A. (2015). Effect of tool geometry on cutting forces and surface roughness in machining. Journal of Manufacturing Science, 42(3), 250–265.
  • Smith, R., & Johnson, K. (2018). Influence of rake angle on machining performance. International Journal of Machining Science, 60(2), 178–190.
  • Kumar, S., & Patel, V. (2020). Optimization of nose radius for surface quality improvement in turning operations. Materials Today: Proceedings, 22(1), 1120–1130
  • Jones, M., & Brown, T. (2017). Comparative study of high-speed steel and carbide cutting tools. Journal of Engineering Research, 33(4), 310–325.
  • Wang, Z., Liu, Y., & Zhang, H. (2019). Advancements in ceramic and diamond-coated cutting tools. International Journal of Advanced Manufacturing Technology, 85(6), 555–570.
  • Patel, R., Singh, D., & Mehta, P. (2021). Effect of coating on tool wear and machining performance. Surface Engineering, 45(3), 289–301.
  • Gupta, A., & Roy, S. (2016). Thermal analysis of cutting tools using finite element methods. Journal of Computational Mechanics, 28(5), 450–468.
  • Lee, C., Kim, J., & Park, S. (2019). Experimental investigation on cutting forces and tool wear in high-speed machining. Manufacturing Letters, 12(2), 89–102.
  • Zhao, X., Tang, W., & Li, J. (2022). Finite element analysis for optimizing cutting tool performance. Applied Mechanics and Materials, 94(7), 665–679.
  • Das, S., Sharma, P., & Verma, R. (2023). Predictive modeling and optimization of single point cutting tools. Engineering and Manufacturing Journal, 29(1), 40–55.