[1] Quintana G, Ciurana J (2011) Chatter in machining processes: A review. Int J Mach Tools Manuf 51(5): 363-376.
[2] Siddhpura M, Paurobally R (2012) A review of chatter vibration research in turning. Int J Mach Tools Manuf 61: 27-47.
[3] Tansel IN, Wagiman A, Tziranis A (1991) Recognition of chatter with neural networks. Int J Mach Tools Manuf 31(4): 539-552.
[4] Tansel IN (1992) Modelling 3-D cutting dynamics with neural networks. Int J Mach Tools Manuf 32(6): 829-853.
[5] BY Tarng YS, Ma SC (1995) Modeling of the process damping force in chatter vibration. Int J Mach Tools Manuf 35(7): 951-962.
[6] اسدیان اردکانی م ح، رازفر م ر ( 1388) پیشبینی وقوع پدیده چتر در فرایند فرزکاری با استفاده از شبکههای عصبی مصنوعی. دهمین کنفرانس مهندسی ساخت و تولید ایران، بابل.
[7] Abu-Zahra NH, Lange JH (2002) Tool chatter monitoring in turning operations using wavelet analysis of ultrasound waves. Int J Adv Manuf Tech 20: 248-254.
[8] Kotaiah KR, Srinivas J, Babu K, Srinivas K (2010) Prediction of optimal cutting states during inward turning: An experimental approach. Mater Manuf Process 25: 432-441.
[9] Saleem W, Zain-ul-abdein M, Ijaz H, Salmeen Bin Mahfouz A, Ahmed A, Asad M, Mabrouki T (2017) Computational analysis and artificial neural network optimization of dry turning parameters—AA2024-T351. Appl Sci 7(6): 642-663.
[10] Umetne EZIM, Ali ZUOSK, Prevleko K (2014) Experimental design and artificial neural network model for turning the 50CrV4 (SAE 6150) alloy using coated carbide/cermet cutting tools. Mater Tech 48(2): 227-236.
[11] Shrivastava Y, Singh B (2019) Stable cutting zone prediction in computer numerical control turning based on empirical mode decomposition and artificial neural network approach. T I Meas Control 41(1): 193-209.
[12] Shrivastava Y, Singh B (2018) Stable cutting zone prediction in CNC turning using adaptive signal processing technique merged with artificial neural network and multi-objective genetic algorithm. Eur J Mech A-Solid 70: 238-248.
[13] Shrivastava Y, Singh B (2017) Application of EEMD in Determining Tool Chatter Behavior using ANN Approach. Proceeding of 10th International conference on precision, Meso, Micro and Nano Engineering, December 07-09, Indian institute of technology madras, Chennai-600 036, India.
[14] Khalili M, Rafeeyan M, Abootorabi MM (2018) Quantitative analysis of forces in boring process and providing a new formula for calculation of tool-tip force. Iranian Journal of Manufacturing Engineering 4(2): 10-23. (in Persian)
[15] Khalili M, Rafeeyan M, Abootorabi MM (2019) The new approach to practical predicting and controlling the chatter phenomenon in the internalturning. Iranian Journal of Manufacturing Engineering 5(4): 56-73. (in Persian)
[16] خلیلی م، رفیعیان م، ابوترابی م م (1394) بررسی تجربی اثر سرعت برشی بر ارتعاش چتر در فرایند داخل تراشی. نشریه علمی ترویجی صوت و ارتعاش 52-39 :(8)4.
[17] نگارستانی ا، ابوالبشیری م ح (1396) بهینهسازی فرایند فرزکاری انگشتی برای رسیدن به زبری سطح مینیمم با ترکیب شبکه عصبی مصنوعی و الگوریتم ژنتیک. مجله علمی پژوهشی مکانیک سازهها و شارهها 91-81 :(2)7.
)