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Original Articles

Investigation of Tool Wear and Surface Finish by Analyzing Vibration Signals in Turning Assab-705 Steel

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REFERENCES

  • Abu-Mahfouz, I. () Drilling wear detection and classification using vibration signals and artificial neural network. International Journal of Machine Tools and Manufacture, 43(7): 707–720.
  • Alonso, F.J.; Salgado, D.R. () Analysis of the structure of vibration signals for tool wear detection. Mechanical Systems and Signal Processing, 22(3): 735–748.
  • Bhuiyan, M.S.H; Choudhury, I.; Yusoff, N. () A new approach to investigate tool condition using dummy tool holder and sensor setup. The International Journal of Advanced Manufacturing Technology, 61(5–8): 465–479.
  • Bhuiyan, M.S.H.; Choudhury, I.A.; Nukman,Y. () An innovative approach to monitor the chip formation effect on tool state using acoustic emission in turning. International Journal of Machine Tools and Manufacture, 58: 19–28.
  • Bonifacio, M.E.R.; Diniz, A.E. (). Correlating tool wear, tool life, surface roughness and tool vibration in finish turning with coated carbide tools. Wear1731–2137144
  • Chen, S.L.; Jen, Y.W. () Data fusion neural network for tool condition monitoring in CNC milling machining. International Journal of Machine Tools and Manufacture, 40(3): 381–400.
  • Desforges, X.; Habbadi, A.; Archimède, B. () Design methodology for smart actuator services for machine tool and machining control and monitoring. Robotics and Computer-Integrated Manufacturing, 27(6): 963–976.
  • Ebersbach, S.; Peng, Z. () Expert system development for vibration analysis in machine condition monitoring. Expert Systems with Applications, 34(1): 291–299.
  • Gaitonde, V.N.; Karnik, S.R.; Davim, J.P. () Optimal MQL and cutting conditions determination for desired surface roughness in turning of brass using genetic algorithms. Machining Science and Technology: An International Journal, 16(2): 304–320.
  • Ghani, A.K.; Choudhury, I.A.; Husni. () Study of tool life, surface roughness and vibration in machining nodular cast iron with ceramic tool. Journal of Materials Processing Technology, 127(1): 17–22.
  • Ghoshal, B.; Bhattacharyya, B. () Influence of vibration on micro-tool fabrication by electrochemical machining. International Journal of Machine Tools and Manufacture, 64: 49–59.
  • Isbilir, O.; Ghassemieh, E. () Comparative study of tool life and hole quality in drilling of cfrp/titanium stack using coated carbide drill. Machining Science and Technology: An International Journal, 17(3): 380–409.
  • Kalvoda, T.; Hwang, Y.R. () Analysis of signals for monitoring of nonlinear and non-stationary machining processes. Sensors and Actuators A: Physical, 161(1–2): 39–45.
  • Kamely, M.A.; Noordin, M.Y. () The impact of cutting tool materials on cutting force. World Academy of Science, Engineering and Technology903–906.
  • Karandikar, J.M.; Abbas, A.E.; Schmitz, T.L. () Tool Life prediction using random walk Bayesian updating. Machining Science and Technology: An International Journal, 17(3): 410–442.
  • Keturakis, G.; Lisauskas, V. () Influence of the sharpness angle on the initial wear of the wood milling knives. Materials Science - Medžiagotyra, 16(3): 205–209.
  • Kumar, J. () Ultrasonic machining—A comprehensive review. Machining Science and Technology: An International Journal, 17(3): 325–379.
  • Li, A.; Zhao, J.; Dong, Y.; Wang, D.; Chen, X. () Surface integrity of high-speed face milled Ti-6Al-4V alloy with PCD tools. Machining Science and Technology: An International Journal, 17(3): 464–482.
  • Loutas, T.H.; Roulias, D.; Pauly, E.; Kostopoulos, V. () The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery. Mechanical Systems and Signal Processing, 25(4): 1339–1352.
  • Niu, Q.; An, Q.; Chen, M.; Ming, W. () Wear mechanisms and performance of coated inserts during face milling of TC11 AND TC17 alloys. Machining Science and Technology: An International Journal, 17(3): 483–495.
  • Obikawa, T.; Shinozuka, J. () Monitoring of flank wear of coated tools in high speed machining with a neural network ART2. International Journal of Machine Tools and Manufacture, 44(12–13): 1311–1318.
  • Peng, Z.K.; Chu, F.L. () Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography. Mechanical Systems and Signal Processing, 18(2): 199–221.
  • Qin, F.; Hu, J.; Chou, Y.K.; Thompson, R.G. () Delamination wear of nano-diamond coated cutting tools in composite machining. Wear, 267(5–8): 991–995.
  • Quintana, G.; Ciurana, J. () Chatter in machining processes: A review. International Journal of Machine Tools and Manufacture, 51(5): 363–376.
  • Reddy, T.V.S.; Sornakumar, T.; Reddy, M.V.; Venkatram, R.; Senthilkumar, A. () Turning studies of deep cryogenic treated p-40 tungsten carbide cutting tool inserts – Technical communication. Machining Science and Technology: An International Journal, 13(2): 269–281.
  • Scheffer, C. (1999) Monitoring of Tool Wear in Turning Operations Using Vibration Measurements. Faculty of Engineering, University of Pretoria. MEng.
  • Tabatabaei, S.M.K.; Behbahani, S.; Mirian, S.M. () Analysis of ultrasonic assisted machining (UAM) on regenerative chatter in turning. Journal of Materials Processing Technology, 213(3): 418–425.
  • Toh, C.K. () Comparison of chip surface temperature between up and down milling orientations in high speed rough milling of hardened steel. Journal of Materials Processing Technology, 167(1): 110–118.
  • Xiao, W.; Zi, Y.; Chen, B.; Li, B.; He, Z. () A novel approach to machining condition monitoring of deep hole boring. International Journal of Machine Tools and Manufacture, 77: 27–33.
  • Zhu, D.; Zhang, X.; Ding, H. () Tool wear characteristics in machining of nickel-based superalloys. International Journal of Machine Tools and Manufacture, 64: 60–77.

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