Experimental Study of Micro Milling Burr Control Based on Process Parameters Optimization

2014 ◽  
Vol 551 ◽  
pp. 569-573 ◽  
Author(s):  
Shu Feng Sun ◽  
An Chen Yin ◽  
Ping Ping Wang ◽  
Qin Dong Zhang
Keyword(s):  
Surface Quality ◽  
Process Parameters ◽  
Feed Rate ◽  
Spindle Speed ◽  
Parameters Optimization ◽  
Test Method ◽  
Cutting Process ◽  
Micro Milling ◽  
Depth Of Cut ◽  
Machining Accuracy

With the development of the times, micro and small products are needed increasingly. The machining accuracy and surface quality are especially important to micro machining. However, in the micro milling, the size of the burr compared with that of the part is much greater than that of conventional milling. Moreover, it is difficult to remove micro milling burr by conventional deburring methods due to the small part size. The existence of burr will not only affect the match of parts, but also reduce the dimensional accuracy and surface quality of the work piece. Therefore, it is important to control and reduce micro-milling burr. Micro-milling experiments are carried out on the material of copper with micro-milling cutter diameter 0.5 mm. Micro grooves are milled with different cutting process parameters. The burrs generated under different conditions are analyzed using orthogonal test method. When the spindle speed and feed rate are constant, burrs increase with the increasing of cutting depth. Keeping the spindle speed and the depth of cut constant, burrs are generated increasingly with the increase of feed rate. And the decreasing of the spindle speed leads to the increase of burrs if the other parameters are constant. The experimental research provides reference for the burr control of micro-milling based on the optimization cutting process parameters.

Optimization of surface quality and machining time in micro-milling of glass

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Dinc ◽  
Ali Mamedov
Keyword(s):  
Surface Quality ◽  
Process Parameters ◽  
Material Properties ◽  
Feed Rate ◽  
Cutting Speed ◽  
Micro Milling ◽  
Depth Of Cut ◽  
Machining Time ◽  
Content Type ◽  
Glass Material

Purpose Glass is a brittle material produced from silica, which has fine material properties, Owing to its sophisticated material properties, glass has found wide application in various high-technological fields such as aviation, aerospace, communication, optics, biomedical and electronics. However, glass is known as difficult to machine material because of its tendency to brittle fracture during machining. This paper aims to investigate the effects of cutting parameters on surface quality and machining time during micro-milling of brittle glass components. Design/methodology/approach A comprehensive genetic algorithm-based optimization strategy is used for selection of process parameters such as cutting speed, feed rate and depth of cut. Effectiveness of the proposed strategy is validated by conducting micro-milling cutting experiments on soda-lime glass material. Findings Results showed that the generated surface quality drastically decrease with increase in the amount of removed material. Lower depth of cut and feed rate result in less amount of cracks formed on machined surface. Also, it is observed that the increase in cutting speed results in better surface quality. Having desired surface quality in shorter machining time directly reduces energy consumed during manufacturing, which is reducing environmental impact of glass parts. Originality/value The novelty of this research work lies in simultaneously considering the effects of cutting speed, feed rate, depth of cut on surface quality and machining time for micro-milling operation of brittle glass material. The model is able to find optimum process parameters for high surface quality and minimum machining time.

scholarly journals Investigation of the Effect of Process Parameters on Bone Grinding Performance Based on On-Line Measurement of Temperature and Force Sensors

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3325
Author(s):  
Lihui Zhang ◽  
Lei Zou ◽  
Donghui Wen ◽  
Xudong Wang ◽  
Fanzhi Kong ◽  
...  
Keyword(s):  
Process Parameters ◽  
Feed Rate ◽  
Spindle Speed ◽  
Orthogonal Experimental Design ◽  
Depth Of Cut ◽  
Grinding Process ◽  
Grinding Temperature ◽  
Skull Base Tumor ◽  
Grinding Performance ◽  
Expanded Endonasal Approach

This study investigates the effect of process parameters on neurosurgical bone grinding performance using a miniature surgical diamond wheel. Bone grinding is an important procedure in the expanded endonasal approach for removing the cranial bone and access to the skull base tumor via nasal corridor. Heat and force are generated during the grinding process, which may cause thermal and mechanical damage to the adjacent tissues. This study investigates the effect of grinding process parameters (including the depth of cut, feed rate, and spindle speed) on the bone grinding performance using temperature and force measurement sensors in order to optimize the grinding process. An orthogonal experimental design with a standard orthogonal array, L9 (33), is selected with each parameter in three levels. The experimental results have been statistically analyzed using the range and variance analysis methods in order to determine the importance order of the process parameters. The results indicate that the effect of the cutting depth on the grinding temperature and normal force is the largest, while the effect of the spindle speed on the tangential force is the largest. A high spindle speed would make the temperature rise to a certain extent; however, it significantly reduces the grinding force. At a certain spindle speed, a lower depth of cut and feed rate help to reduce the grinding temperature and force.

Experimental Study of Micro-Milling Microchannels on Polycarbonate Substrates

2014 ◽  
Vol 974 ◽  
pp. 132-135 ◽  
Author(s):  
Pin Chuan Chen ◽  
Chang Wei Pan
Keyword(s):  
Factor Analysis ◽  
Feed Rate ◽  
Lower Cost ◽  
Microfluidic Devices ◽  
Spindle Speed ◽  
Micro Milling ◽  
Depth Of Cut ◽  
Application Fields ◽  
Polycarbonate Substrate

How to fabricate a disposable microfluidic device is a growing interest in many application fields and micromilling is one of the efficient approaches. The benefits of using micromilling for polymer microfluidic devices include shorter fabrication process, lower cost, easier user interface, and being capable of fabricating complicated structures. The aim of this study is to use factor analysis to determine the optimal cutting conditions in micromilling microchannels on polycarbonate substrates. The parameters included spindle speed, feed rate, and the depth of cut, and the micromilled roughness was measured by a stylus profilemeter. The smallest roughness achieved was 0.127μm with the spindle speed of 20,000rpm, feed rate of 300mm/min, and the depth of cut of 10μm. From factor analysis results, the spindle speed has the largest influence while the depth of cut has the minimized impact to the surface quality of a micromilled polycarbonate substrate.

scholarly journals Study on Surface Roughness in Micro Milling of Single Crystal Materials

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Qi Gao ◽  
Po Jin ◽  
Guangyan Guo
Keyword(s):  
Surface Roughness ◽  
Single Crystal ◽  
Surface Quality ◽  
Feed Rate ◽  
Orthogonal Experiment ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Micro Milling ◽  
Cemented Carbide Tool

Micro milling is a machining method of high precision and efficiency for micro components and features. In order to study the surface quality of single crystal materials in micro milling, the two-edged cemented carbide tool milling cutter with 0.4 mm diameter was used, and the orthogonal experiment was completed on the micro-milling of single crystal aluminum material. Through the analysis of statistical results, the primary and secondary factor which impacting on surface quality were found as follows: spindle speed, feed rate, milling depth. The ideal combination of optimized process parameters were obtained, when the spindle speed was 36000 r/min, the milling depth was 10 μm, the feed rate was 80 μm/s, which made the milling surface roughness is 0.782 μm and minimal. Single crystal materials removal mechanism were revealed, and the influence of cutting parameters on micro-milling surface were discussed, the reason of tool wear was analyzed. Those provide a certain theoretical and experimental basis for micro milling of single crystal materials.

scholarly journals Study The Effect of Process Parameters of CNC Milling Surface Generation Using Al-alloy 7024

2019 ◽  
Vol 12 (3) ◽  
pp. 103-112
Author(s):  
Nareen Hafidh Obaeed
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Surface Finish ◽  
Feed Rate ◽  
Spindle Speed ◽  
Surface Generation ◽  
Depth Of Cut ◽  
Al Alloy ◽  
Cnc Milling ◽  
Tool Diameter

A wonderful unique research developments in modeling surface roughness and optimization of the predominant parameters to get a surface finish of desired level since only suitable selection of cutting parameters can get a better surface finish, so the objective of this work is to study the milling process parameters which include tool diameter, feed rate, spindle speed, and depth of cut resulting in optimal values of the surface roughness during machining AL-alloy 7024. The machining operation implemented on XK7124 3-axis CNC milling machine. The effects of the selected parameters on the chosen characteristics have been accomplished using Taguchi’s parameter design approach. The parameters considered are – depth of cut with two levels (0.2, 0.5 mm), tool diameter with two levels (6, 8 mm), spindle speed with two levels (1000, 2500 rpm), and finally feed rate with two levels (200, 500 mm/min). Analysis of the results showed that the optimal settings for low values of surface roughness are large tool diameter (8 mm), high spindle speed (2500 r.p.m), low feed rate (200 mm/min) and high depth of cut (0.5 mm). Response Table for mean of surface roughness showed that tool diameter has the most effected factors (rank one) followed by feed rate (rank two) then depth of cut which is the third effected factors and finally spindle speed with the less effected factors of surface roughness (rank four).

scholarly journals Optimization of the Process Parameters for Micro-Milling Thin-Walled Micro Parts Using Advanced Algorithms

2022 ◽  
Author(s):  
Peng Wang ◽  
Qingshun Bai ◽  
Kai Cheng ◽  
Liang Zhao ◽  
Hui Ding
Keyword(s):  
Taguchi Method ◽  
Surface Quality ◽  
Parameters Optimization ◽  
Micro Milling ◽  
Machining Accuracy ◽  
Average Height ◽  
Machining Parameters ◽  
Nsga Ii ◽  
Micro Parts ◽  
Thin Walled

Abstract The surface integrity and machining accuracy of thin-walled micro parts are significantly affected by micro-milling parameters mostly because of their weak stiffness. Furthermore, there is still a lack of studies focusing on parameters optimization for the fabrication of thin-walled microscale parts. In this paper, an innovative approach is proposed for the optimization of machining parameters with the objectives of surface quality and dimension accuracy, which integrates the Taguchi method, principal component analysis method (PCA) and the Non-dominated sorting genetic algorithm (NSGA-II). In the study, surface arithmetic average height Sa, surface root mean square height Sq, and 3-D fractal dimension Ds are selected to evaluate surface quality. Then micro-milling experiments are conducted based on the Taguchi method. According to the experimental results, the significance of machining parameters can be determined by range analysis. Besides, regression models for the responses are developed comparatively, and the PCA method is employed for dimension reduction of the optimization objective space. Finally, two combinations of machining parameters with the highest satisfaction are obtained through NSGA-II, and verification experiments are carried out. The results show that the surface quality and dimension accuracy of the thin-walled microscale parts can be simultaneously improved by using the proposed approach.

The Impact of the Cutting Process on the Dimensional Accuracy of Expendable Patterns

2014 ◽  
Vol 971-973 ◽  
pp. 291-294
Author(s):  
Dong Xia Yang ◽  
Zhong De Shan ◽  
Feng Liu ◽  
Zhi Quan Zhang ◽  
Xiang Yu Song
Keyword(s):  
Feed Rate ◽  
Dimensional Accuracy ◽  
Spindle Speed ◽  
Cutting Process ◽  
Machining Accuracy ◽  
Cutting Depth ◽  
Reasonable Range ◽  
The Impact ◽  
Expendable Pattern ◽  
Selection Of

In this work, a systematic study was carried out on the cutting process of expendable pattern, and the impact of process parameters, such as spindle speed, feed rate and cutting depth on the dimensional accuracy of expendable pattern was discussed. The results show that the dimensional accuracy at length and width directions of expendable pattern is less affected by the cutting process, while the machining accuracy at height direction of expendable pattern is greatly influenced by the cutting process. With the increase of spindle speed, the height error reduced undulately; with the increase of feed rate, the height error increases gradually; the selection of cutting depth has a reasonable range, above or below this range will cause the increase of the dimension error.

Optimization of Cutting Parameters during Turning of AISI-310 Using Response Surface Methodology

2016 ◽  
Vol 854 ◽  
pp. 45-51
Author(s):  
S. Nandhakumar ◽  
R. Vijayakumar ◽  
Senthil Padmavathy ◽  
N. Nagasundaram
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Feed Rate ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Parameters Optimization ◽  
Depth Of Cut ◽  
Optimization Of Cutting Parameters

Design of Experiments is employed to study the stimulus of cutting parameters such as feed rate, spindle speed, depth of cut in the turning operation of AISI-310 and optimizing the value of those parameters for getting the higher material removal rate (MRR) and minimal surface roughness. A prediction model has been developed by using the above influencing parameters. For the purpose of parameters optimization we investigate the parameters using Response Surface Methodology (RSM). It is shown that feed rate is the main parameter in influencing the surface roughness, which is being followed by spindle speed and depth of cut. It is found that surface roughness and feed rate were directly proportional to each other for some extent. The confirmation tests were carried out to with the optimum set of parameters and are verified with test results. The comparison of above two results were found to be good with maximum error within 5% on comparing it with the predicted model.

Prediction of Surface Roughness and Optimization of Cutting Parameters in CNC Turning of Rotational Features

2020 ◽  
Vol 38 (8A) ◽  
pp. 1143-1153
Author(s):  
Yousif K. Shounia ◽  
Tahseen F. Abbas ◽  
Raed R. Shwaish
Keyword(s):  
Surface Roughness ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Feed Rate ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Non Linear ◽  
Optimization Of Cutting Parameters

This research presents a model for prediction surface roughness in terms of process parameters in turning aluminum alloy 1200. The geometry to be machined has four rotational features: straight, taper, convex and concave, while a design of experiments was created through the Taguchi L25 orthogonal array experiments in minitab17 three factors with five Levels depth of cut (0.04, 0.06, 0.08, 0.10 and 0.12) mm, spindle speed (1200, 1400, 1600, 1800 and 2000) r.p.m and feed rate (60, 70, 80, 90 and 100) mm/min. A multiple non-linear regression model has been used which is a set of statistical extrapolation processes to estimate the relationships input variables and output which the surface roughness which prediction outside the range of the data. According to the non-linear regression model, the optimum surface roughness can be obtained at 1800 rpm of spindle speed, feed-rate of 80 mm/min and depth of cut 0.04 mm then the best surface roughness comes out to be 0.04 μm at tapper feature at depth of cut 0.01 mm and same spindle speed and feed rate pervious which gives the error of 3.23% at evolution equation.

scholarly journals Investigation on the Surface Quality Obtained during Trochoidal Milling of 6082 Aluminum Alloy

Machines ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 75
Author(s):  
Nikolaos E. Karkalos ◽  
Panagiotis Karmiris-Obratański ◽  
Szymon Kurpiel ◽  
Krzysztof Zagórski ◽  
Angelos P. Markopoulos
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Process Parameters ◽  
Manufacturing Industry ◽  
High Surface ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
High Surface Quality ◽  
Trochoidal Milling

Surface quality has always been an important goal in the manufacturing industry, as it is not only related to the achievement of appropriate geometrical tolerances but also plays an important role in the tribological behavior of the surface as well as its resistance to fatigue and corrosion. Usually, in order to achieve sufficiently high surface quality, process parameters, such as cutting speed and feed, are regulated or special types of cutting tools are used. In the present work, an alternative strategy for slot milling is adopted, namely, trochoidal milling, which employs a more complex trajectory for the cutting tool. Two series of experiments were initially conducted with traditional and trochoidal milling under various feed and cutting speed values in order to evaluate the capabilities of trochoidal milling. The findings showed a clear difference between the two milling strategies, and it was shown that the trochoidal milling strategy is able to provide superior surface quality when the appropriate process parameters are also chosen. Finally, the effect of the depth of cut, coolant and trochoidal stepover on surface roughness during trochoidal milling was also investigated, and it was found that lower depths of cut, the use of coolant and low values of trochoidal stepover can lead to a considerable decrease in surface roughness.

Sign in / Sign up

Export Citation Format

Share Document