Tool edge radius wear and material removal rate performance charts for titanium micro-milling

2018 ◽  
Vol 19 (1) ◽  
pp. 79-84 ◽  
Author(s):  
Michael Miranda ◽  
David Serje ◽  
Jovanny Pacheco ◽  
Jorge Bris
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Micro Milling ◽  
Rate Performance ◽  
Tool Edge Radius ◽  
Edge Radius ◽  
Tool Edge

Analyzing the effect of tool edge radius on cutting temperature in micro-milling process

2010 ◽  
Author(s):  
Y. C. Liang ◽  
K. Yang ◽  
K. N. Zheng ◽  
Q. S. Bai ◽  
W. Q. Chen ◽  
...  
Keyword(s):  
Cutting Temperature ◽  
Milling Process ◽  
Micro Milling ◽  
Tool Edge Radius ◽  
Edge Radius ◽  
Tool Edge

EDM Characteristics of Inconel 718 and Using Control Chart for Process Stable

2013 ◽  
Vol 441 ◽  
pp. 7-10
Author(s):  
Shih Hung Tai ◽  
Chun Yao Hsu ◽  
Ching Hung Su ◽  
Ching I Lin
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Control Charts ◽  
Material Removal ◽  
Removal Rate ◽  
Micro Milling ◽  
Statistical Process ◽  
Edm Process

This study investigates the optimization of micro milling EDM process parameters to achieve multiple performance characteristics (low electrode depletion (ED), high material removal rate (MRR) and low overcut) in the Inconel 718 by the Grey-Taguchi method. Experimental results show that the electrode depletion decreased from 0.56 to 0.52 10-8 mm3/min, the material removal rate increased from 0.47 to 1.68 10-8 mm3/min and the overcut decreased from 1.27 to 1.19 μm under optimal micro milling EDM process parameters. Furthermore, control charts tell us when special causes of variation are impacting machining process. Control charts are basic and powerful tools in statistical process control and are widely used to control various industrial processes. The aim of statistical process control is to explore the predictability of a process. It was found that the EDM process and product characteristics are stable over time.

Cutting Force Analysis in Micro Milling of Steel

2013 ◽  
Vol 774-776 ◽  
pp. 1017-1020 ◽  
Author(s):  
Bing Wu ◽  
Huai Zhong Li
Keyword(s):  
Cutting Force ◽  
Experimental Work ◽  
Micro Milling ◽  
Cnc Machine Tool ◽  
Force Analysis ◽  
Cnc Machine ◽  
Tool Edge Radius ◽  
Edge Radius ◽  
Tool Edge ◽  
End Mills

An analysis of cutting force performance in the micro milling on steel has been carried out based on an experimental work using micro flat end mills on a precision CNC machine tool. It has been found that cutting forces occurred at low feed per tooth are relatively high by assessing the averaged peak forces from the experiments. When feed per tooth is relatively close to tool edge radius, the forces were not growing in linearity with the increasing feedrate. This finding indicates the significance of ploughing phenomenon as an effect of tool edge radius in micro milling.

Experimental Investigation during Micro-Milling of Hybrid Al6063 MMC Reinforced with SiC and ZrO2

2019 ◽  
Vol 33 ◽  
pp. 1-9
Author(s):  
P. Tripathy ◽  
K.P. Maity
Keyword(s):  
Surface Roughness ◽  
Experimental Investigation ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Metal Matrix ◽  
Material Removal ◽  
Removal Rate ◽  
Micro Milling

The experimental investigation of process characteristics while performing micro-milling on hybrid aluminium metal matrix composite is discussed in this article. High Speed Steel micro end mill cutters are used for machining of micro-slots on Al6063 metal matrix composite reinforced with zirconia and silicon carbide. The tools are also treated cryogenically at -196°C using liquid nitrogen with a holding time of 24 hours. For this investigation, machining parameters like feed rate, cutting speed and depth of cut are considered as the process parameters. The effect of the process parameters on the material removal rate and surface roughness for hybrid metal matrix composite are analyzed. In addition, tools wear for untreated and cryo-treated single tempered tools are also investigated. The output responses i.e., material removal rate and surface roughness of cryo-treated tools exhibit better results than untreated tool due to increase in strength, hardness and wear resistance.

Effects of the Cutting Tool Edge Radius on the Stability Lobes in Micro-Milling

2011 ◽  
Vol 223 ◽  
pp. 859-868 ◽  
Author(s):  
Shukri Afazov ◽  
Svetan Ratchev ◽  
Joel Segal
Keyword(s):  
Cutting Forces ◽  
Cutting Tool ◽  
Orthogonal Cutting ◽  
Chip Morphology ◽  
Micro Milling ◽  
Tool Edge Radius ◽  
Edge Radius ◽  
Stability Lobes ◽  
Tool Edge ◽  
The Stability

This paper investigates the effects of the cutting tool edge radius on the cutting forces and stability lobes in micro-milling. The investigation is conducted based on recently developed models for prediction of micro-milling cutting forces and stability lobes. The developed models consider the nonlinearities of the micro-milling process, such as nonlinear cutting forces due to cutting velocity dependencies, edge radius effect and run-out presence. A number of finite element analyses (FEA) are performed to obtain the cutting forces in orthogonal cutting which are used for determining the micro-milling cutting forces. The chip morphology obtained for different tool edge radii using FEA is presented. It is observed that at large tool edge radii the influence of the ploughing effect become more significant factor on the chip morphology. The results related to micro-milling cutting forces and stability lobes show that by enlarging the tool edge radius the micro-milling cutting forces increase while the stability limits decrease.

Effects of Process Parameters on Surface Roughness and MRR in the hard turning of EN 36 steel

2018 ◽  
pp. 102-110
Author(s):  
Amritpal Singh ◽  
Rakesh Kumar
Keyword(s):  
Surface Roughness ◽  
Material Removal Rate ◽  
Material Removal ◽  
Hard Turning ◽  
Control Parameter ◽  
Removal Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Dry Cutting

In the present study, Experimental investigation of the effects of various cutting parameters on the response parameters in the hard turning of EN36 steel under the dry cutting condition is done. The input control parameters selected for the present work was the cutting speed, feed and depth of cut. The objective of the present work is to minimize the surface roughness to obtain better surface finish and maximization of material removal rate for better productivity. The design of experiments was done with the help of Taguchi L9 orthogonal array. Analysis of variance (ANOVA) was used to find out the significance of the input parameters on the response parameters. Percentage contribution for each control parameter was calculated using ANOVA with 95 % confidence value. From results, it was observed that feed is the most significant factor for surface roughness and the depth of cut is the most significant control parameter for Material removal rate.

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