[YG-1 Indexable Inserts]YG-1 launches new turning insert ... - turning insert chip breaker
Long XH, Balachandran B (2010) Stability of up-milling and down-milling operations with variable spindle speed. J Vib Control 16(7–8):1151–1168
Li K, Darby AP (2009) A high precision direct integration scheme for nonlinear dynamic systems. J Comput Nonlinear Dyn 4(4):041008
Axial cutexample
Farkas M (2013) Periodic motions. In: John F, Marsden JE, Sirovich (eds) Applied mathematical sciences. Springer Science & Business Media, New York
Movahhedy MR, Mosaddegh P (2006) Prediction of chatter in high speed milling including gyroscopic effects. Int J Mach Tools Manuf 46(9):996–1001
Axial cutimaging
State Key Laboratory of Tribology and Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
Axial cutmedical
Bachrathy D, Stépán G, Turi J (2011) State dependent regenerative effect in milling processes. J Comput Nonlinear Dyn 6(4):041002
Cao HR, Zhang XW, Chen XF (2017) The concept and progress of intelligent spindles: a review. Int J of Mach Tools Manuf 112:21–52
Zhu R, Kapoor SG, DeVor RE (2001) Mechanistic modeling of the ball end milling process for multi–axis machining of free-form surfaces. J Manuf Sci Eng 123(3):369–379
Zhang XM, Ding H (2013) Note on a novel method for machining parameters optimization in a chatter-free milling process. Int J of Mach Tools Manuf 72:11–15
Axial cutanatomy
Van Luttervelt CA, Childs THC, Jawahir IS, Klocke F, Venuvinod PK, Altintas Y, Armarego E, Dornfeld D, Grabec I, Leopold J, Lindstrom B, Lucca D, Obikawa T, Shirakashi SH (1998) Present situation and future trends in modelling of machining operations progress report of the CIRP working group ‘modelling of machining operations’. CIRP Ann Manuf Technol 47(2):587–626
Shi B, Attia H (2010) Current status and future direction in the numerical modeling and simulation of machining processes: a critical literature review. Mach Sci Technol 14(2):149–188
Gu Y, Chen B, Zhang H, Guan Z (2001) Precise time–integration method with dimensional expanding for structural dynamic equations. AIAA J 39(12):2394–2399
Balachandran B, Zhao MX (2000) A mechanics based model for study of dynamics of milling operations. Meccanica 35(2):89–109
Mann BP, Young KA, Schmitz TL, Dilley DN (2005) Simultaneous stability and surface location error predictions in milling. J Manuf Sci Eng 127(3):446–453
Faassen RPH, Van de Wouw N, Oosterling JAJ, Nijmeijer H (2003) Prediction of regenerative chatter by modelling and analysis of high–speed milling. Int J Mach Tools Manuf 43(14):1437–1446
Axial cutCT
The Extra Hard Screwdriver Bit Set, 35-Piece comes in a practical and robust storage box providing a good view of its contents as well as safe storage and transport. The set contains: PH1, PH2, PH3 PZ1, PZ2, PZ3 S 3/4/5/6 HEX 3/4/5/6 TH10, TH15, TH20 (2x), TH25, TH27, TH30, TH40 Nutsetter 6/8/10 mm HSS 2.0/3.0/4.0/5.0/6.0/8.0 mm Double blade PH2/PZ2 Double blade Th20/Th25
Axial cutmri
Gao G, Wu B, Zhang D, Luo M (2013) Mechanistic identification of cutting force coefficients in bull–nose milling process. Chin J Aeronaut 26(3):823–830
Zhang XM, Zhu LM, Zhang D, Ding H, Xiong YL (2012) Numerical robust optimization of spindle speed for milling process with uncertainties. Int J of Mach Tools Manuf 61:9–19
Axial cutMachining
This work is supported by the National Natural Science Foundation of China (Grant No. 51575307 and 51225503), Tianjin Key Laboratory of High Speed Cutting and Precision Machining, and Top-Notch Young Talents Program of China.
Cao HR, Li B, He ZJ (2012) Chatter stability of milling with speed-varying dynamics of spindles. Int J of Mach Tools Manuf 52(1):50–58
The cutting stability of machine tools during operation is dependent on many parameters including the spindle speed and axial cutting depth. Cutting force coefficients may change due to the effect of heat and influence the stability lobe diagram during dry cutting aluminum alloy. Based on the identification of cutting force coefficients, the dependence of cutting force coefficients on the spindle speed and axial cutting depth are investigated. The spindle speed had a slight effect on cutting force coefficients, while the axial cutting depth greatly affected the cutting force coefficients. The cutting force coefficients were expressed as functions of axial cutting depth, and based on varying cutting force coefficients with axial cutting depths, the stability lobe diagram is modified. Then, stability lobe diagrams of varying cutting force coefficients are compared to that of constant cutting force coefficients, and the stability lobe diagram with varying cutting force coefficients was verified through a series of experiments.
Axial cutmeaning
Tyler CT, Troutman J, Schmitz TL (2015) Radial depth of cut stability lobe diagrams with process damping effects. Precis Eng 40:318–324
Tang X, Peng F, Yan R, Gong Y, Li X (2016) An effective time domain model for milling stability prediction simultaneously considering multiple modes and cross–frequency response function effect. Int J Adv Manuf Technol 86(1–4):1037–1054
Insperger T, Stépán G, Hartung F, Huri J (2005) State dependent regenerative delay in milling processes. ASME 2005 in. des eng technical conf comput inf eng conf. Volume 6: 5th international conference on multibody systems, nonlinear dynamics, and control, parts a, B, and C 955–964. https://doi.org/10.1115/DETC2005-85282
Ding Y, Zhu LM, Zhang XJ, Ding H (2010) A full–discretization method for prediction of milling stability. Int J Mach Tools Manuf 50(5):502–509
Budak E, Tekeli A (2005) Maximizing chatter free material removal rate in milling through optimal selection of axial and radial depth of cut pairs. CIRP Ann Manuf Technol 54(1):353–356
Rubeo MA, Schmitz TL (2016) Mechanistic force model coefficients: a comparison of linear regression and nonlinear optimization. Precis Eng 45:311–321
Yu, G., Wang, L. & Wu, J. Prediction of chatter considering the effect of axial cutting depth on cutting force coefficients in end milling. Int J Adv Manuf Technol 96, 3345–3354 (2018). https://doi.org/10.1007/s00170-018-1745-z