journal article·2024-04-24Open access

Process Stability Analysis during Trochoidal Milling of AZ91D Magnesium Alloy Using Different Toolholder Types

Jarosław Korpysa, Ireneusz Zagórski, Andrzej Weremczuk, Witold Habrat

Applied Sciences· Volume 14· Issue 9

Abstract

Trochoidal milling is one of the solutions for increasing the efficiency of machining processes. A decreased cutting tool’s arc of contact leads to a reduction in the generated cutting forces, thus improving process stability. Vibration is an inherent part of any machining process, affecting the accuracy and quality of the manufactured components, but it can also pose a danger to machine operators. Chatter is particularly detrimental, leaving characteristic marks on shaped surfaces and potentially leading to catastrophic tool damage. Therefore, it is important to ensure the stability of machining and also reduce vibration. The primary purpose of the conducted research is to evaluate the stability of the milling process of the AZ91D magnesium alloy performed through a trochoidal strategy. An additional objective is to establish the effect of the variation in machining parameters and toolholder types on milling stability. Three types of toolholders most commonly used in industry are used in the study. The basis of the investigation is the measurement of vibration displacement and acceleration analysed in the time domain. A spectral analysis of the signals is also performed based on Fast Fourier Transform, to identify signal components and detect the susceptibility to chatter occurrence. An important part of the study is also an attempt to use the Composite Multiscale Entropy as an indicator to determine the stability of the machining processes. Entropy does not exceed the values of 1.5 for cutting speed and 2.5 for feed per tooth, respectively. Vibration acceleration does not exceed (in most cases) the value of 20 m/s2 for the peak-to-peak parameter and the shrinkfit toolholder. For vibration displacement (peak-to-peak parameter), there are oscillations around the value of 0.9 mm for all kinds of toolholders.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced machining processes and optimization · Advanced Surface Polishing Techniques · Advanced Machining and Optimization Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Production Engineering, Mechanical Engineering Faculty, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland

Department of Applied Mechanics, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland

Department of Manufacturing and Automation Technologies, Rzeszow University of Technology, Powstańców Warszawy 12, 35-959 Rzeszów, Poland

Funding

VIA CARPATIA Universities of Technology Network named after the President of the Republic of Poland Lech Kaczyński

References (38)

Show source-provided references
1. A review of chatter vibration research in milling10.1016/j.cja.2018.11.007 ↗
2. Epicycloidal Versus Trochoidal Milling-Comparison of Cutting Force, Tool Tip Vibration, and Machining Cycle Time10.1016/j.procir.2016.04.001 ↗
3. Trochoidal milling: Investigation of dynamic stability and time domain simulation in an alternative path planning strategy10.1007/s00170-018-03280-y ↗
4. Oleksik, M., Dobrota, D., Tomescu, M., and Petrescu, V. (2021). Improving the Performance of Steel Machining Processes through Cutting by Vibration Control. Materials, 14.10.3390/ma14195712 ↗
5. On the stability of high-speed milling with spindle speed variation10.1007/s00170-009-2336-9 ↗
6. Chatter in machining processes: A review10.1016/j.ijmachtools.2011.01.001 ↗
7. The concept of active elimination of vibrations in milling process10.1016/j.procir.2015.03.036 ↗
8. Chatter and dynamic cutting force prediction in high-speed ball end milling10.1080/10910344.2017.1284560 ↗
9. A general approach to simulating workpiece vibrations during five-axis milling of turbine blades10.1016/j.cirp.2010.03.057 ↗
10. Experimental investigation of vibration intensities of CNC machining centre by microphone signals with the effect of TiN/epoxy coated tool holder10.1007/s12206-018-1232-3 ↗
11. Sensor signals for tool-wear monitoring in metal cutting operations—A review of methods10.1016/S0890-6955(99)00122-4 ↗
12. Frequency and Time-Frequency Analysis of Cutting Force and Vibration Signals for Tool Condition Monitoring10.1109/ACCESS.2018.2797003 ↗
13. Chatter suppresion techniques in metal cutting10.1016/j.cirp.2016.06.004 ↗
14. The Effect of Cutting Process Parameters on the Stability in Milling10.4028/www.scientific.net/AMR.887-888.1200 ↗
15. Analytical stability lobes including nonlinear process damping effect on machining chatter10.1016/j.ijmachtools.2010.12.008 ↗
16. Providing stability maps for milling operations10.1016/j.ijmachtools.2006.09.026 ↗
17. Experimental study of thin wall milling chatter stability nonlinear criterion10.1016/j.procir.2016.10.075 ↗
18. Monitoring and processing signal applied in machining processes—A review10.1016/j.measurement.2014.08.035 ↗
19. Zagórski, I., Kulisz, M., Kłonica, M., and Matuszak, J. (2019). Trochoidal Milling and Neural Networks Simulation of Magnesium Alloys. Materials, 12.10.3390/ma12132070 ↗
20. Investigation of chip thickness and force modelling of trochoidal milling10.1016/j.promfg.2017.07.063 ↗
21. A comparative study on the cutting force coefficient identification between trochoidal and slot milling10.1016/j.promfg.2018.07.067 ↗
23. Improving trochoidal tool paths generation and implementation using process constraints modelling10.1016/j.ijmachtools.2008.12.006 ↗
24. Analysis of the Effect of Trochoidal Milling on the Surface Roughness of Aluminium Alloys after Milling
25. 3D Eulerian Finite Element Modelling of End Milling10.1016/j.procir.2018.08.265 ↗
26. Finite element simulation and experimental investigation on cutting mechanism in vibration-assisted micro-milling10.1007/s00170-019-03402-0 ↗
27. The influence of the cutting edge shape on high performance cutting10.1108/AEAT-11-2015-0243 ↗
28. Influence of pre-machining on post-machining deformation of thin-walled elements made of aluminium alloy EN AW-202410.1088/1757-899X/393/1/012102 ↗
29. Identifying bifurcation behavior during machining process for an irregular milling tool geometry10.1016/j.measurement.2016.07.001 ↗
30. Prediction of vibration amplitude from machining parameters by response surface methodology in end milling10.1007/s00170-010-2872-3 ↗
31. Karkalos, N.E., Karmiris-Obratański, P., Kurpiel, S., Zagórski, K., and Markopoulos, A.P. (2021). Investigation on the Surface Quality Obtained during Trochoidal Milling of 6082 Aluminum Alloy. Machines, 9.10.3390/machines9040075 ↗
32. Multi-criteria optimization of the turning parameters of Ti-6Al-4V titanium alloy using the Response Surface Methodology10.17531/ein.2022.4.7 ↗
33. Effect of cutter body geometry in Ti-6Al-4V face-milling process10.1007/s00170-018-2794-z ↗
34. Zagórski, I., Korpysa, J., and Weremczuk, A. (2021). Influence of Tool Holder Types on Vibration in Rough Milling of AZ91D Magnesium Alloy. Materials, 14.10.3390/ma14102517 ↗
35. Vibration analysis during AZ31 magnesium alloy milling with the use of different toolholder types10.17531/ein.2022.3.10 ↗
36. Influence of cutting parameters on end milling of magnesium alloy AZ31B10.1016/j.matpr.2022.04.075 ↗
37. (2016). Mechanical Vibration—Rotor Balancing—Part 11: Procedures and Tolerances for Rotors with Rigid Behavior (Standard No. ISO 21940-11:2016).
38. Stability analysis of titanium alloy milling by multiscale entropy and Hurst exponent10.1140/epjp/i2015-15194-1 ↗