Skip to main content
SpringerLink
Log in

Recent development in reliability analysis of NC machine tools

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Numerical control (NC) machine tools are the fundamental equipment of the machinery industry. The reliability of NC machine tools directly influences the processing quality, productivity, and efficiency. This paper reviews the latest developments in the reliability analysis of NC machine tools. The main analysis methods and modeling techniques used in reliability assessment of NC machine tools are illustrated with brief case studies. The reliabilities of typical subsystems of NC machine tools are discussed. In addition, several important key problems and issues remain to be addressed about the reliability analysis of NC machine tools and opportunities for further research are identified.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Lad BK, Kulkarni MS (2010) A mechanism for linking user’s operational requirements with reliability and maintenance schedule for machine tool. Int J Reliab Saf 4(4):343–358

    Article  Google Scholar 

  2. Jia Y, Shen G, Jia Z (1995) A reliability approach to machine tool bearings. Reliab Eng Syst Saf 50(1):127–134

    Article  Google Scholar 

  3. He X, Oyadiji SO (1999) A study of practical reliability estimation method of gear reducer. In: IEEE International Conference SME’99, Tokyo, Japan; 1999. pp. 948-953

  4. Jia Y, Jia Z (1993) Fatigue load and reliability design of machine-tool component. Int J Fatigue 15(1):47–52

    Article  Google Scholar 

  5. He X, Oyadiji SO (2001) Application of coefficient of variation in reliability-based mechanical design and manufacture. J Mater Process Technol 119:374–378

    Article  Google Scholar 

  6. Jia Y, Wang Y, Jia Z, Shen G (1993) Equivalent fatigue load in machine tools probabilistic reliability, part I: theoretical basis. Int J Fatigue 15(6):473–477

    Article  Google Scholar 

  7. Jia Y, Shen G, Jia Z, Wang Y (1993) Equivalent fatigue load in machine tools probabilistic reliability, part II: calculation methodology and practical applications. Int J Fatigue 15(6):478–487

    Google Scholar 

  8. He X, Ichikawa M (1993) A study on asymptotic distributions of extremes resulting from a log-normal distribution in relation to structural reliability. In: Asian Pacific conference on fracture and strength ’93, Tsuchiura, Japan; 1993; pp.587-589

  9. Wang Y, Shen G, Jia Y (2003) Multidimensional force spectra of CNC machine tools and their applications, part two: reliability design of elements. Int J Fatigue 25(5):447–452

    Article  Google Scholar 

  10. Wang Y, Jia Y, Yu J, Zheng Y, Yi S (1999) Failure probabilistic model of CNC lathes. Reliab Eng Syst Saf 65(3):307–314

    Article  Google Scholar 

  11. Hagen WF (2006) Effects of a reliability program on machine tool reliability. Proc Ann Reliab Maint Symp 2006:481–485

    MathSciNet  Google Scholar 

  12. Houshyar A (2004) Reliability and maintainability of machinery and equipment, part 1: accessibility and assessing machine tool R&M performance. Int J Model Simulat 24(4):201–210

    MATH  Google Scholar 

  13. Houshyar A (2005) Reliability and maintainability of machinery and equipment, part 2: benchmarking, life-cycle cost, and predictive maintenance. Int J Model Simulat 25(1):1–11

    Google Scholar 

  14. Neugebauer R, Denkena B, Wegener K (2007) Mechatronic systems for machine tools. CIRP Ann Manuf Technol 56(2):657–686

    Article  Google Scholar 

  15. Yang Z, Chen C, Chen F, Li G (2013) Progress in the research of reliability technology of machine tools. J Mech Eng 49(20):130–139, in Chinese

    Article  Google Scholar 

  16. Wang Q, Gao J, Chen K, Xu A (2014) System reliability analysis of NC equipment based on system failure evolution model. IEEE Int Conf Mechatron Autom 2014:390–395

    Google Scholar 

  17. Zhang G, Guo S (2015) Reliability evaluation of machining tool center based on competing Weibull model. Comput Integrat Manuf Syst 21(1):180–186, in Chinese

    Google Scholar 

  18. Zhang G, Li D, Liu J, Liu J (2013) Reliability assessment for multiple NC machine tools oriented to general repair. J Mech Eng 49(23):136–141, in Chinese

    Article  MathSciNet  Google Scholar 

  19. Ren L, Rui Z, Liu J, Lei C (2015) Whole life-cycle reliability assessment of multiple NC machine tools with minimal repair. J Shanghai Jiaotong Univ 49(1):19–23, in Chinese

    Google Scholar 

  20. Ren L, Rui Z, Li J, Li H (2014) Three-parameter bounded intensity process model and its application in reliability assessment of NC machine tools. J Xi’an Jiaotong Univ 48(5):107–112, in Chinese

    Google Scholar 

  21. Wang Z, Yang J (2012) Bounded intensity process and its applications in reliability assessment of NC machine tools. J Shanghai Jiaotong Univ 46(10):1622–1626, in Chinese

    Google Scholar 

  22. Wang Z, Yu X (2013) Log-linear process modeling for repairable systems with time trends and its applications in reliability assessment of numerically controlled machine tools. Proc Institut Mech Eng, Part O: J Risk Reliab 227(1):55–65

    Google Scholar 

  23. Wang Z, Yang J (2011) Reliability assessment of numerical control machine tools using Weibull mixture models. Adv Mater Res 181–182:161–165

    Google Scholar 

  24. Yang J, Wang Z, Wang G, Zhang G (2012) Likelihood ratio test interval estimation of reliability indices for numerical control machine tools. J Mech Eng 48(2):9–15, in Chinese

    Article  Google Scholar 

  25. Wang Z, Yang J, Wang G, Zhang G (2011) Reliability evaluation of multiple NC machine tools with time truncation. J Harbin Institute Technol 43(3):85–89, in Chinese

    MathSciNet  Google Scholar 

  26. Wang Z, Yang J, Wang G, Zhang G (2011) Application of three-parameter Weibull mixture model for reliability assessment of NC machine tools: a case study. Proc Institut Mech Eng, Part C: J Mech Eng Sci 225(11):2718–2726

    Article  Google Scholar 

  27. Wang Z, Yang J, Wang G, Zhang G (2011) Reliability assessment of multiple NC machine tools with minimal repair. J Harbin Inst Technol 43(7):127–130, in Chinese

    MathSciNet  Google Scholar 

  28. Merrick JRW, Soyer R, Mazzuchi TAA (2003) Bayesian semiparametric-analysis of the reliability and maintenance of machine tools. Technometrics 45(1):58–69

    Article  MathSciNet  Google Scholar 

  29. Yu N, Zhang Z, Wang Z, Zhang X (2011) Weibull-distribution-based method of Bayesian reliability evaluation for machining center. Adv Mater Res 317–319:1949–1953

    Article  Google Scholar 

  30. Zhang X, Shang J, Wang Z (2010) Study on simulation reliability test of machining center. Appl Mech Mater 34–35:360–364

    Google Scholar 

  31. Zhang X, Shang J, Wang Z (2010) Measures for improving reliability of the machining center. Appl Mech Mater 34–35:527–532

    Article  Google Scholar 

  32. Zhang X, Yu N, Shang J, Wang Z (2011) Study on reliability test methods of machining center. Appl Mech Mater 44–47:829–833

    Google Scholar 

  33. Zhang X, Yu N, Shang J, Wang Z (2011) Reliability test design for five-axis machining center. Appl Mech Mater 44–47:834–838

    Google Scholar 

  34. Wang Z, Yang J (2014) Bayesian reliability assessment for numerically controlled machine tools with imperfect repair. J Shanghai Jiaotong Univ 48(5):614–617, in Chinese

    Google Scholar 

  35. Wang Z, Yang J (2014) Bayesian reliability analysis for numerical control machine tools with small-sized sample failure data. J Central South Univ (Sci Technol Edition) 45(12):4201–4205, in Chinese

    Google Scholar 

  36. Fan J, Zhou Z, Wang Z, Miao W (2014) Research on the evaluation of small sample reliability for CNC grinding machine tools based on Bayes theory. Adv Mater Res 971–973:688–692

    Article  Google Scholar 

  37. Wang Z (2011) Application of least square-support vector machines in reliability analysis of NC machine tools. Adv Mater Res 181–182:166–171

    Google Scholar 

  38. Yang Z, Hao Q, Chen F, Xu B, Li X, Zhao H (2011) A comprehensive fuzzy reliability allocation method of NC machine tools based on interval analysis. J Beijing Univ Technol 37(3):321–329, in Chinese

    Google Scholar 

  39. Wang J, Yang Z, Chen F, Li G, Chen C (2013) Minimum effort reliability allocation method considering fuzzy cost of punching machine tools. J Appl Sci 13(20):4107–4113

    Article  Google Scholar 

  40. Hao Q, Yang Z, Chen C, Chen F, Li G (2012) Reliability prediction for NC machine tool based on interval AHP. J Jilin Univ (Eng Technol Edition) 42(4):845–850, in Chinese

    Google Scholar 

  41. Zhao H, He X, Wang H, Wang H, Yang Z, Wang Y, Zhang W (2013) Comprehensive evaluation on reliability of machine tools based on extension method to determine membership degree. Adv Mater Res 655–657:1218–1223

    Article  Google Scholar 

  42. Yang Z, Zhu X, Jia Y, Wang L, Xu B, Li X, Lu J (2011) Fuzzy-comprehensive evaluation of use reliability of CNC machine tools. Key Eng Mater 464:374–378

    Article  Google Scholar 

  43. Fan J, Liu Y, Wang X (2013) Fuzzy reliability allocation of CNC grinding machine tools. Adv Mater Res 765–767:38–42

    Article  Google Scholar 

  44. Yan Y, Sun Z, Ren X, Yang Q (2011) Real-time reliability analysis and optimal distribution of the reliability on five-axis machining center. Appl Mech Mater 84–85:552–556

    Google Scholar 

  45. Shen G, Chen B, Zhang Y, Shao N, Gu D, Wang Z (2011) Reliability model for subsystems of CNC machine tool with small samples. J Chongqing Univ 34(8):55–59, in Chinese

    Google Scholar 

  46. Shen G, Fan S, Zhang Y, Li W, He Y, Zheng R (2010) Reliability influence analysis of subsystem in NC machine tools. J Jilin Univ (Eng Technol Edition) 40(suppl1):266–269, in Chinese

  47. Li X, Yang C, Zhu X, Yuan X (2014) Modeling and analysis of machining center reliability based on MATLAB. Adv Mater Res 945–949:3102–3106

    Article  Google Scholar 

  48. Shen G, Shao N, Zhang Y, He Y, Zheng R, Chen B (2011) Reliability evaluation of numerically-controlled machine tool based on extenics theory. J Jilin Univ (Eng Technol Edition) 41(1):106–109, in Chinese

    Google Scholar 

  49. Shen G, Zhang Y, Xue Y, Chen B, He Y (2009) Comprehensive evaluation on reliability of numerically-controlled machine tool based on entropy weight method. J Jilin Univ (Eng Technol Edition) 39(5):1208–1211, in Chinese

    Google Scholar 

  50. Lad BK, Kulkarn MS (2013) Reliability and maintenance based design of machine tools. Int J Performability Eng 9(3):321–332

    Google Scholar 

  51. Yang Z, Wang Y, Chen F, Wang Y, Li X, Zhao H, Hao Q (2012) Prediction of reliability model for CNC machine tool based on exponential smoothing model. Adv Mater Res 548:495–499

    Article  Google Scholar 

  52. Zhang Y, Zheng R, Shen G, Chen B (2011) Reliability analysis for CNC machine tool based on failure interaction. Communicat Comput Informat Sci 134(PART 1):489–496

    Article  Google Scholar 

  53. Wang X, Shen G, Zhang Y, Zhang L, Wang Z, Liu W (2011) Simulation of reliability and maintainability influence of machining center. J Jilin Univ (Eng Technol Edition) 41(suppl 1):160–163, in Chinese

  54. Fleischer J, Schopp M (2007) Sustainable machine tool reliability based on condition diagnosis and prognosis. In: 14th CIRP Conference on Life Cycle Engineering. pp. 323-328

  55. Yildiz AR (2012) A comparative study of population-based optimization algorithms for turning operations. Informat Sci 210:81–88

    Article  MathSciNet  Google Scholar 

  56. Yildiz AR (2013) Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations. Appli Soft Comput J 13(3):1433–1439

    Article  Google Scholar 

  57. Yildiz AR (2009) A novel particle swarm optimization approach for product design and manufacturing. Int J Adv Manuf Technol 40(5-6):617–628

    Article  Google Scholar 

  58. Yildiz AR (2009) A novel hybrid immune algorithm for global optimization in design and manufacturing. Robot Comput IntegrManufact 25(2):261–270

    Article  Google Scholar 

  59. Yildiz AR (2009) Hybrid immune-simulated annealing algorithm for optimal design and manufacturing. Int J Mater Product Technol 34(3):217–226

    Article  Google Scholar 

  60. Yildiz AR (2009) An effective hybrid immune-hill climbing optimization approach for solving design and manufacturing optimization problems in industry. J Mater Process Technol 209(6):2773–2780

    Article  Google Scholar 

  61. Wang G, Jia Y, Shen G, Qiao W (2008) Failure analysis and reliability improvement measures of machining center based on failure density proportion. J Jilin Univ (Eng Technol Edition) 38(SUPPL):119–122, in Chinese

    Google Scholar 

  62. Wang Z, Yang J (2012) Numerical method for Weibull generalized renewal process and its applications in reliability analysis of NC machine tools. Comput Indust Eng 63(4):1128–1134

    Article  Google Scholar 

  63. Yu J, Tang W, Wang T, Li Q, Li Z (2014) Applied research on reliability evaluation of CNC machine tools based on D-S evidence theory. Appl Mech Mater 446–447:645–649

    Google Scholar 

  64. Yu J, Zhang H, Tang W, Wang T, Li Z, Li Q (2013) Applied research on Cmsr method used in reliability evaluation of the CNC machine tools. J Appl Sci 13(22):5284–5286

    Article  Google Scholar 

  65. Yu J, Yu S, Song Y, Wang T, Li Q, Sun L, Li Z (2013) Application of Go-Flow methodology to the reliability evaluation in CNC machine tools. Adv Mater Res 694–697:1833–1837

    Article  Google Scholar 

  66. Yu J, Yu S, Song Y, Wang T, Li Q, Sun L, Li Z (2013) Application of reliability prediction in the design of CNC machine tools. Adv Mater Res 694–697:1795–1798

    Article  Google Scholar 

  67. Yu J, Yu S, Song Y, Wang T, Li Q, Sun LL (2013) Research of reliability growth evaluation of CNC machine tools based on Weibull distribution. Adv Mater Res 694–697:1812–1816

    Article  Google Scholar 

  68. Wang Z, Yang J (2013) Experimental design of reliability assessment for numerical control machine tools. Comput Integrat Manuf Syst 19(10):2394–2398, in Chinese

    Google Scholar 

  69. Wang Z (2012) Reliability assessment test design for numerical control machine tools. Adv Mater Res 542–543:1218–1221

    Article  Google Scholar 

  70. Yang Q, Sun Z, Shi Y, Jia D, Yan Y (2011) Kinematic reliability analysis of five-axis machine tool. Adv Mater Res 308–310:1292–1296

    Google Scholar 

  71. Zhao B, Yang P, Chen K, Gao J (2011) Research on life of machine accuracy and precision reliability assessment concerning about a turn-milling combined machine tool. In: 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, pp. 162-167

  72. Yang P, Hao S, Chen K, Zheng W (2011) Modeling of precision reliability for NC machine tool based on multi-body system theory. In: 2011 2nd International Conference on Digital Manufacturing and Automation, pp. 750-754

  73. Jia Z, Zhang H, Xi A (2011) Expanding reliability data of NC machine tool based on neural network. J Jilin Univ (Eng Technol Edition) 41(2):403–407, in Chinese

    Google Scholar 

  74. Karacal SC, Hubbard K (2004) Web based monitoring of machine tools for reliability. In: IIE Annual Conference and Exhibition, pp. 1245-1248

  75. Jaybhaye MD, Sonawane BU (2006) Reliability analysis of some machine tool elements. J Institut Eng (India) Part PR: Product Eng Division 87:7–10

    Google Scholar 

  76. Yu M, Zhang Y, Gao J, Zhang D (2013) Optimal preventive maintenance schedule for single multi-functional machine using a modified reliability-centered method. In: European Safety and Reliability Conference, pp. 991-996

  77. Yang Z, Li X, Xu B, Chen F, Zhu X, Hao Q (2012) Time dynamic reliability modelling of machining center. J Mech Eng 48(2):16–22, in Chinese

    Article  Google Scholar 

  78. Ren G, Yang Z, Meng B (2012) Reliability evaluation on machining center based on three-parameter Weibull distribution. Adv Mater Res 430–432:1645–1649

    Article  Google Scholar 

  79. Chen C, Yang Z, Chen F, Hao Q, Xu B, Kan Y, Li G (2013) The study of reliability modeling of machining center based on Blocksim and Weibull++. Appl Mech Mater 274:49–52

    Article  Google Scholar 

  80. Zhang G, Liu J, Li Y (2013) Reliability prediction of machining center using grey system theory and GO methodology. In: 4th International Conference on Digital Manufacturing and Automation, pp. 991-996.

  81. Kim B, Lee S, Kim J, Song J (2006) Reliability assessment approach using failure mode analysis in machining center. Key Eng Mater 321–323:1535–1538

    Article  Google Scholar 

  82. Liu E, Zeng K, He X, Cui G, Hu W, Yuan S (2014) Analysis of kinematic accuracy reliability for TGK46100 NC boring machine. Modul Mach tool Automat Manuf Tech 8:31–33, in Chinese

    Google Scholar 

  83. Liu J, Li J, Xu C (2014) Interaction of the cutting tools and the ceramic-reinforced metal matrix composites during micro-machining: a review. CIRP J Manuf Sci Technol 7(2):55–70

    Article  MathSciNet  Google Scholar 

  84. Tahera K, Ibrahim RN, Lochert PB (2008) Determination of the optimal production run and the optimal initial means of a process with dependent multiple quality characteristics subject to a random deterioration. Int J Adv Manuf Technol 39(5-6):623–632

    Article  Google Scholar 

  85. Brzhozovskii BM, Martynov VV, Zinina EP, Pleshakova ES (2014) Reliability of modified cutting tools. Russian Eng Res 34(12):769–772

    Article  Google Scholar 

  86. Fish RK, Ostendorf M, Bernard GD, Castanon DA (2003) Multilevel classification of milling tool wear with confidence estimation. IEEE Transact Pattern Anal Mach Intellig 25(1):75–85

    Article  Google Scholar 

  87. Hsu B, Shu M (2010) Reliability assessment and replacement for machine tools under wear deterioration. Int J Adv Manuf Technol 48(1-4):355–365

    Article  Google Scholar 

  88. Yildiz AR (2013) A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing. Appl Soft Comput J 13(5):2906–2912

    Article  Google Scholar 

  89. Yildiz AR (2013) Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach. Informat Sci 220:399–407

    Article  MathSciNet  Google Scholar 

  90. Yildiz AR (2013) A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations. Appl Soft Comput J 13(3):1561–1566

    Article  Google Scholar 

  91. Yildiz AR (2013) Cuckoo search algorithm for the selection of optimal machining parameters in milling operations. Int J Adv Manuf Technol 64(1-4):55–61

    Article  Google Scholar 

  92. Liu H, Makis V (1996) Cutting-tool reliability assessment in variable machining conditions. IEEE Transact Reliab 45(4):573–581

    Article  Google Scholar 

  93. Li C, Zhang Y, Wang Y (2012) Gradual reliability and its sensitivity analysis approach of cutting tool in invariant machining condition and periodical compensation. J Mech Eng 48(12):162–168, in Chinese

    Article  Google Scholar 

  94. Li C, Zhang Y, Wang Y (2012) Time-variant reliability assessment and its sensitivity analysis of cutting tool under invariant machining condition based on gamma process. Math Problem Eng; v.2012, Article number 676923

  95. Zou S, Xie Y, Wang K, Tang D (2014) Reliability analysis and experimental research on cutting tool of vertical shearing machine. Adv Mater Res 889–890:441–449

    Article  Google Scholar 

  96. Lu X, Han P, Wu W (2013) Reliability evaluation of chain-type tool magazine and ATC. Appl Mech Mater 271:461–465

    Google Scholar 

  97. Lu X, Han P, Wu W, Wei J (2013) Reliability evaluation of circular tool magazine and automatic tool changer. Adv Mater Res 630:245–248

    Article  Google Scholar 

  98. Wang X, Lv C, Pang X, Wang X (2014) Research on dynamic reliability sensitivity of the indexable cutting tool. J Northeastern Univ 35(3):406–410, in Chinese

    Google Scholar 

  99. Wang X, Li H, Lv C, Wang X, Pang X (2014) Research on dynamic reliability sensitivity of hard alloy cutting tool. Acta Armamentarii 35(1):114–119, in Chinese

    Google Scholar 

  100. Liu S, Zhang H, Li C, Lu H, Hu Y (2014) Fuzzy reliability estimation for cutting tools. Procedia CIRP 15:62–67

    Article  Google Scholar 

  101. Wang X, Zhang Y, Li H, Lv C (2014) Dynamic reliability sensitivity of cemented carbide cutting tool. Chin J Mech Eng (English Edition) 27(1):79–85

    Article  Google Scholar 

  102. Aramesh M, Rimpault X, Klim ZH, Balazinski M (2013) Wear dependent tool reliability analysis during cutting titanium metal matrix composites (Ti-MMCs). SAE Int J Aerospace 6(2):492–498

    Article  Google Scholar 

  103. Salonitis K, Kolios A (2013) Reliability assessment of cutting tools life based on advanced approximation methods. Procedia CIRP 8:397–402

    Article  Google Scholar 

  104. Cai G, Chen X, Li B, Chen B, He Z (2012) Operation reliability assessment for cutting tools by applying a proportional covariate model to condition monitoring information. Sensors (Switzerland) 12(10):12964–12987

    Article  Google Scholar 

  105. Chen B, Chen X, Li B, He Z, Cao H, Cai G (2011) Reliability estimation for cutting tools based on logistic regression model using vibration signals. Mech Syst Signal Process 25(7):2526–2537

    Article  Google Scholar 

  106. Chen B, Chen X, Li B, Cao H, Cai G, He Z (2011) Reliability estimation for cutting tool based on logistic regression model. J Mech Eng 47(18):158–164, in Chinese

    Article  Google Scholar 

  107. Chen B, Chen X, He Z, Li B (2010) Operating condition information-based reliability prediction of cutting tool. J Xi’an Jiaotong Univ 44(9):74–77, in Chinese

    Google Scholar 

  108. Patiño Rodriguez CE, De Souza GFM (2010) Reliability concepts applied to cutting tool change time. Reliab Eng Syst Saf 95(8):866–873

    Article  Google Scholar 

  109. Fan N, Guo P, Gao Z (2008) Calculation of life reliability of ceramic cutting tools by Monte Carlo simulation. In: Chinese Control Decision Conference, pp. 1892-1895

  110. Lin W (2006) Cutting tool reliability assessment in variable cutting speeds. J Chin Society Mech Eng 27(2):267–271

    Google Scholar 

  111. Wang KS, Lin WS, Hsu FS (2001) A new approach for determining the reliability of a cutting tool. Int J Adv Manuf Technol 17(10):705–709

    Article  Google Scholar 

  112. Lin T (1998) Reliability and failure of face-milling tools when cutting stainless steel. J Mater Process Technol 79(1-3):41–46

    Article  Google Scholar 

  113. Klim Z, Ennajimi E, Balazinski M, Fortin C (1996) Cutting tool reliability analysis for variable feed milling of 17-4PH stainless steel. Wear 195(1-2):206–213

    Article  Google Scholar 

  114. Sung B, Kim D (2015) A study of reliability improvement of high capacity cooling system for machine tool. In: 17th International Conference on Electrical Machines and Systems, pp. 2396-2402

  115. Reddy TS, Reddy CE (2011) On-line monitoring of tool wear and surface roughness by acoustic emissions in CNC turning. Int J Robot Automat 26(3):305–312

    Google Scholar 

  116. Javed K, Gouriveau R,; Zerhouni N, Zemouri R, Li X (2012) Robust, reliable and applicable tool wear monitoring and prognostic: approach based on an improved-extreme learning machine. In: 2012 I.E. International Conference on Prognostics and Health Management, 2012

  117. Abele E, Altintas Y, Brecher C (2010) Machine tool spindle units. CIRP Annals - Manuf Technol 59(2):781–802

    Article  Google Scholar 

  118. Sarhan AAD, Matsubara A (2015) Investigation about the characterization of machine tool spindle stiffness for intelligent CNC end milling. Robot Comput Integrat Manuf 34:133–139

    Article  Google Scholar 

  119. Chen C, Yang Z, Chen F, Hao Q, Xu B, Kan Y (2014) Reliability modeling of machining center spindle based on boosttrap-Bayes. J Jilin Univ (Eng Technol Edition) 44(1):95–100, in Chinese

    Google Scholar 

  120. Dou W, He X, Yuan S, Zhou S (2014) Modal analysis of machine tool spindle under uncertainty. Appl Mech Mater 513–517:4197–4201

    Article  Google Scholar 

  121. Zhou S, Zhang X, He X, Dou W, Deng C (2013) Study on reliability design methods of machine tool components. New Technol New Process 12:128–131, in Chinese

    Google Scholar 

  122. Zhou S, He X, Yuan S, Dou W (2014) Virtual reliability tests on spindle assemblies based on Monte Carlo method. New Technol New Process 9:52–55, in Chinese

    Google Scholar 

  123. Hu W, Zeng K, He X, Cui G, Yuan S, Liu E. Reliability test and analysis methods for machine tool spindles. Modern manuf Eng; in press, in Chinese

  124. Gu D, Shen G, Zhang Y, Wang Z, Ding Y, Liang D (2012) Reliability analysis of spindle system base on location-scale model. J Jilin Univ (Eng Technol Edition) 42(suppl 1):104–117, in Chinese

  125. Wang G, Zhou G, Jia Y (2012) Research on reliability of CNC grinding machine based on function structure tree. Adv Mater Res 588–589:1729–1734

    Article  Google Scholar 

  126. Ma Y, Li W, Li D (2012) Reliability study of CNC machining centers. Adv Mater Res 418–420:581–584

    Google Scholar 

  127. Xu A, Chen K, Yang P, Gao J (2011) Reliability modeling and simulation analysis of mechanical system with stochastic states. In: 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, pp. 92-98

  128. Wang Y, Wang Z, Huang H, Peng W, Xiao N (2011) Reliability-based design of a spindle based on random and interval variables. In: 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, pp. 891-897

  129. Jiang D, Wang T, Jiang Y, Liu L, Hu M (2010) Reliability assessment of machine tool spindle bearing based on vibration feature. In: 2010 International Conference on Digital Manufacturing and Automation, 2:154-157

  130. Yang Z, Yang C, Chen F, Wang D, Ma S, Liu B (2014) Optimization of the electro-hydraulic servo loading based on least square and SVDUKF algorithms. J Jilin Univ (Eng Technol Edition) 44(2):392–397, in Chinese

    Google Scholar 

  131. Huang X, Wu M, Zhang Y, Hu N (2013) Research on reliability-based robust design method for rotation systems of CNC turrets. Acta Armamentarii 34(9):1132–1136, in Chinese

    Google Scholar 

  132. Zhang Y, Zheng S, Shen G, Zheng R, Gu D, Niu X (2012) Criticality analysis for CNC turret adopting importance and fuzzy reasoning. J Jilin Univ (Eng Technol Edition) 42(5):1157–1162, in Chinese

    Google Scholar 

  133. Zhang L, Shen G, Zhang Y, Wang X, Zheng S, Meng S (2012) Research on reliability model for NC turret with small samples. J Jilin Univ (Eng Technol Edition) 42(suppl 1):96–99, in Chinese

  134. Zhang Y, Zheng R, Shen G, Chen B, Zheng S (2011) Reliability analysis for CNC machine tool turret including abnormal data. In: 2011 I.E. 18th International Conference on Industrial Engineering and Engineering Management, pp. 1136-1139

  135. Olvera D, López De Lacalle LN, Compeán FI, Fz-Valdivielso A, Lamikiz A, Campa FJ (2012) Analysis of the tool tip radial stiffness of turn-milling centers. Int J Adv Manuf Technol 60(9-12):883–891

    Article  Google Scholar 

  136. Pang J (2013) The modeling and analysis of software reliability of energy-saving numerical control system for CNC machining centers to support product improvement. Energy Educat Sci Technol Part A: Energy Sci Res 31(1):533–536

    Google Scholar 

  137. Dimitrov D, Karachorova V, Szecsi T (2014) Accuracy and reliability control of machining operations on machining centers. Key Eng Mater 615:32–38

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Innovative Manufacturing Research Centre, Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, 650500, People’s Republic of China

    Xiaocong He

Authors
  1. Xiaocong He
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaocong He.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

He, X. Recent development in reliability analysis of NC machine tools. Int J Adv Manuf Technol 85, 115–131 (2016). https://doi.org/10.1007/s00170-015-7926-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-7926-0

Keywords

Search

Navigation