ПЛАНУВАННЯ ЕКСПЕРИМЕНТУ ДЛЯ ДОСЛІДЖЕНЬ СТОСОВНО ФРЕЗЕРНОГО ОБЛАДНАННЯ
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B. Durakovic: Design of experiments application, concepts, examples: State of the art. Periodicals of Engineering and Natural Sciences, 5(12):421–439 2017.
A. Drégelyi-Kiss, R. Horváth, B. Mikó: Design of experiments (DOE) in investigation of cutting technologies. Development in Machining Technology/Scientific-Research Reports 3:20-34 2013.
J. Antony: Design of Experiments for Engineers and Scientists. Elsevier Science, 2014.
R. Noorani, Y. Farooque, T. Ioi: Improving surface roughness of CNC milling machined aluminium samples due to process parameter variation. CiteSeerX: http://ineer. org/Events/ICEEiCEER2009/full_papers/full_paper_188.pdf 2009.
M. Kasim, M. Atan, C. Haron, J. Ghani, M. Sulaiman, E. Mohamad, M. Minhat, M. Hadzley, and J. Saedon: Analysis of tool performance during ball-end milling of aluminium alloy 6061-T6. Applied Mechanics and Materials, 761(05):318–323 2015.
D. S. R. Kiran and S. P. Kumar: Multi objective optimization of tool life and total cost using 3-level full factorial method in CNC end milling process. Int. J. Mech. Eng. Robot. Res, 2(3):255–270 2013.
V. Lakshmi and K. V. Subbaiah: Modelling and optimization of process parameters during end milling of hardened steel. International Journal of Engineering Research and Applications 2(2):674–679 2012.
H. Shahrajabian and M. Farahnakian: Multi-constrained optimization in ball-end machining of carbon fiberreinforced epoxy composites by PSO. Cogent Engineering, 2(1):993157 2015.
A. T. Abbas, A. E. Ragab, A. Bahkali, E. Ali, E. Danaf, and E. Adel: Optimizing cutting conditions for minimum surface roughness in face milling of high strength steel using carbide inserts. Advances in Materials Science and Engineering ID:7372132 2016.
K. Vipindas, B. Kuriachen, and J. Mathew: Investigations into the effect of process parameters on surface roughness and burr formation during micro end milling of Ti-6Al-4V. Int. J of Adv Manuf Tech 100(5-8):1207–1222 2019.
D. T. Deshmukh: Experimental investigation of factors affecting milling operation. MAYFEB Journal of Mechanical Engineering, 2: 2017.
G. Bolar, A. Das, and S. N. Joshi: Measurement and analysis of cutting force and product surface quality during end-milling of thin-wall components. Measurement, 121:190–204 2018.
B. Mikó, J. Nagy: Surface profile error of free form surface in z-level milling. Development in Machining Technology 9:75-85 2019.
T. Ryan: Statistical Methods for Quality Improvement. Wiley Series in Probability and Statistics, Wiley 2011.
S. K. Saini and S. K. Pradhan: Optimization of machining parameters for CNC turning of different materials. Applied Mechanics and Materials 592:605–609 2014.
L. D. K. Catherine, R. Ma’arof, R. Aziz, and S. Suresh: A study on the impact of the milling parameters on the surface roughness when using polyurethane board as a base material in manufacturing automotive checking fixtures. Materials Science Forum 819:449–454 2015.
T.-L. B. Tseng, U. Konada, Y. J. Kwon: A novel approach to predict surface roughness in machining operations using fuzzy set theory. Journal of Computational Design and Engineering 3(1):1-13 2016.
Y. El-Taybany, M. Hossam, H. El-Hofy: Experimental investigation of ultrasonic-assisted milling of soda glass using factorial design of experiments. Procedia CIRP 58:381–386 2017.
R. Roy: A Primer on the Taguchi Method. Society of Manufacturing Engineers 2010.
D. P. Singh, R. Mall: Optimization of surface roughness of aluminum by Anova based taguchi method using Minitab15 software. International Journal For Technological Research In Engineering 2(11):2782–2787 2015.
K. Ramesh: Optimization of cutting parameters for minimizing cycle time in machining of SS 310 using Taguchi methodology and Anova. IOSR Journal of Mechanical and Civil Engineering 12(1):31–39 2015.
K. G. Malay, H. N. K. Jaideep Gangwar, A. M. Nitya Prakash Sharma, R. G. Sudhir Kumar: Optimization of process parameters of CNC milling. International Journal of Advance Research and Innovation 3(4):59–63 2016.
S. Ghalme, A. Mankar, Y. Bhalerao: Parameter optimization in milling of glass fiber reinforced plastic (GFRP) using DOE - Taguchi method. SpringerPlus 5(1):1376 2016.
C. Ratnam, K. A. Vikram, B. Ben, B. Murthy: Process monitoring and effects of process parameters on responses in turn-milling operations based on sn ratio and Anova. Measurement 94:221–232 2016.
A. Gupta, C. Krishna, S. Suresh: Modelling and analysis of CNC milling process parameters on aluminium silicate alloy. International Journal of Engineering Technology Science and Research 4(8):1038-1043 2017.
A. Kumar, N. Kumar, S. Kumar, R. Garg: Comparative study of parametric optimization of the end milling of Al2024-SiC MMC on surface roughness using Taguchi technique with applied statistical plots. International Journal of Applied Engineering Research 12(21):10816–10823 2017.
P. B. Sosa, R. D. Makwana, G. Acharya: Optimization of machining parameters on end milling of EN 8 back shaft for power press. Trends in Mechanical Engineering & Technology 8(3) 2018.
E. J. Kim, C. M. Lee: A study on the optimal machining parameters of the induction assisted milling with Inconel 718. Materials 12(2):233 2019.
S. U. Ahmed, R. Arora: Quality characteristics optimization in CNC end milling of A36 K02600 using Taguchi’s approach coupled with artificial neural network and genetic algorithm. International Journal of System Assurance Engineering and Management 10(4):676–695 2019.
R. H. Myers, D. C. Montgomery, C. M. Anderson-Cook: Response surface methodology: process and product optimization using designed experiments. John Wiley & Sons 2016.
M. Subramanian, M. Sakthivel, K. Sooryaprakash, R. Sudhakaran: Optimization of end mill tool geometry parameters for AL7075-T6 machining operations based on vibration amplitude by response surface methodology. Measurement 46(10):4005–4022 2013.
S. Jeyakumar, K. Marimuthu, T. Ramachandran: Prediction of cutting force, tool wear and surface roughness of AL6061/SiC composite for end milling operations using RSM. Journal of Mechanical Science and Technology 27(9):2813–2822 2013.
B. Patel, H. Nayak, K. Araniya, G. Champaneri: Parametric optimization of temperature during CNC end milling of mild steel using RSM. International Journal of Engineering Research & Technology 3(1):69–73 2014.
D. Kumar, G. Rajamohan: Optimization of surface roughness and flatness in end milling of aluminium alloy AL6063-T6. International Journal of Advances in Engineering & Technology 8(6):937 2015.
K. V. Rao, P. Murthy: Modelling and optimization of tool vibration and surface roughness in boring of steel using RSM, ANN and SVM. Journal of intelligent manufacturing 29(7):1533–1543 2018.
M. K. N. Khairusshima, B. M. H. Zakwan, M. Suhaily, I. S. S. Sharifah, N. M. Shaffiar, M. A. N. Rashid: The optimization study on the tool wear of carbide cutting tool during milling carbon fiber reinforced (CFRP) using response surface methodology (RSM). IOP Conference Series: Materials Science and Engineering 290:012068 2018.
G. Başar, F. Kahraman, G. T. Önder: Mathematical modelling and optimization of milling parameters in AA5083 aluminum alloy. European Mechanical Science 3(4):159-163 2019.
A. P. Singh, A. Samad, A. K. Saraf: Enhancement of surface finish by optimization technique employed for AL6061 considering different parameters using RSM. Proceedings of International Conference on Advancements in Computing & Management (ICACM) 1083-1090 2019.