scholarly journals The effect of bamboo surface roughness of cutting parameters on the bamboo milling

BioResources ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. 8323-8338
Author(s):  
Yanhe Liu ◽  
Jianbo Zhou ◽  
Wansi Fu ◽  
Bin Zhang ◽  
Feihu Chang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Interaction Analysis ◽  
Orthogonal Design ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Test Method ◽  
Tangential Section ◽  
Feed Speed ◽  
Range Analysis ◽  
Cutting Depth

The surface roughness of bamboo is a factor that determines the processing quality. The effects of spindle speed, feed speed, and cutting depth on the surface roughness of bamboo were studied using the orthogonal design test method. The results were analyzed using range analysis, main effect analysis, interaction analysis, and variance analysis to determine the effect of cutting parameters on the surface roughness of bamboo. The feed speed had a greater effect on the surface roughness of the bamboo in the tangential section; the spindle speed had a greater impact on the surface roughness of the bamboo in the cross section. The cutting depth had a greater impact on the surface roughness of the bamboo in the radial section. For the surface roughness on the tangential, cross, and radial sections of the bamboo, there was a relationship with the cutting parameters. A mathematical model for the analysis of surface roughness was established by response surface method. Also, contour and surface plots based on regression models showed the correlation between surface roughness and all possible pairwise combinations of three cutting parameter variables. The cutting technology with the best surface quality was determined by optimization analysis.

Experimental Investigation on Surface/Subsurface Damage in Rotary Ultrasonic Machining of Glass BK7

2013 ◽  
Vol 325-326 ◽  
pp. 1357-1361 ◽  
Author(s):  
Yan Hua Huang ◽  
Dong Xi Lv ◽  
Yong Jian Tang ◽  
Hong Xiang Wang ◽  
Hai Jun Zhang
Keyword(s):  
Surface Roughness ◽  
Ultrasonic Vibration ◽  
Process Parameters ◽  
Subsurface Damage ◽  
Spindle Speed ◽  
Feed Speed ◽  
Ultrasonic Machining ◽  
Rotary Ultrasonic Machining ◽  
Cutting Depth ◽  
Influence Of Process Parameters

Experiments were carried out to study the effect of ultrasonic vibration on the surface roughness and subsurface damage (SSD) in rotary ultrasonic machining (RUM) of glass BK7. As a comparison, some conventional grinding (CG) experiments were also performed under the same process parameters with there of the RUM ones. The surface roughness of the RUM/CG samples was measured with a surface profilometer. The SSD of these specimens was assessed and characterized by a measuring microscope with the help of the taper polishing method. Also, the influence of process parameters (cutting depth, feed speed, and spindle speed) on the surface/subsurface quality was discussed. As a result, both the surface roughness and the SSD depth of the RUM/CG specimens were reduced with the increased spindle speed, while increased with the increasing of feed speed and cutting depth of the diamond tool. Compared with the CG process, the introduction of ultrasonic vibration resulted in the higher surface roughness and SSD depth, due to the fact that the max cutting depth of the abrasive in the RUM process increased by an amplitude compared with that in the CG process.

scholarly journals Cutting Force and Cutting Quality during Tapered Milling of Glass Magnesium Board

2019 ◽  
Vol 9 (12) ◽  
pp. 2533
Author(s):  
Pingxiang Cao ◽  
Zhaolong Zhu ◽  
Xiaolei Guo ◽  
Xiaodong (Alice) Wang ◽  
Chunchao Fu ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Tool Geometry ◽  
Cutting Condition ◽  
Cutting Depth ◽  
Machined Surface ◽  
Taper Angle

In this paper, the effects of tool geometry and cutting parameters on cutting force and quality were investigated during the tapered milling of glass magnesium (MGO) board with diamond cutters. The results were as follows: firstly, both the cutting force and roughness of the machined surface were positively correlated with the taper angle of the cutters and the cutting depth, but negatively related to the spindle speed. Then, the cutting depth had the largest influence on the cutting force and surface roughness, followed by the taper angle and spindle speed. Thirdly, the taper angle had a significant influence on the cutting force, but not on the surface roughness. The contribution of the spindle speed to both the cutting force and the surface roughness were significant, while the cutting depth had an insignificant effect on the cutting force and the surface roughness. Finally, the optimal cutting condition for the tapered milling of glass magnesium board was found to be a taper angle of 15°, a spindle speed of 5000 rpm (cutting speed of 36.63 m/s), and a cutting depth of 0.5 mm, which are proposed for industrial production in order to achieve greater cutting quality and economic benefit.

Research on Vibration and Surface Roughness in Hard Cutting Process of Hardened Steel

2016 ◽  
Vol 693 ◽  
pp. 878-883 ◽  
Author(s):  
Ling Guo Kong ◽  
Guang Jun Chen ◽  
Liang Wang ◽  
Ding Wen Wang ◽  
Wei Dong Chen ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Orthogonal Design ◽  
Cutting Speed ◽  
Specific Area ◽  
Cutting Parameters ◽  
Bearing Steel ◽  
Cutting Process ◽  
Cutting Depth ◽  
Nose Radius ◽  
Hard Cutting

Vibration of cutting process is an important factor to influence the surface roughness. By Orthogonal design, take hard cutting surface roughness test for bearing steel GCr15 with 62~64HRC, analyzing the law of the variation of cutting parameters effect the amount of vibration and the surface roughness value. And it establishes the formula about vibration and surface roughness. The amount of vibration and the surface roughness increases first and then decreases while the cutting speed increases in a specific area, meanwhile its vibration will reduce and its surface roughness will enlarge while the feed increases. The cutting depth has a little influence to surface roughness and vibration, and the cutting depth is first decreased and then increased accompanied by the tool nose radius increases with the increase of vibration and the surface roughness. The research can provide reference for improving the surface quality.

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 Parameter Optimization of Polishing M300 Mold Steel with an Elastic Abrasive

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Xiao-Jun Wu ◽  
Xin Tong ◽  
Hao Sun ◽  
Huibo Jia ◽  
Lu Zhang
Keyword(s):  
Particle Size ◽  
Rotational Speed ◽  
Abrasive Particle ◽  
Polished Surface ◽  
Feed Speed ◽  
Range Analysis ◽  
Cutting Depth ◽  
Surface Polishing ◽  
Optimum Parameters ◽  
Influence Degree

In order to achieve high-quality polishing of M300 mold steel curved surface, an elastic abrasive is introduced in this paper, and its polishing parameters are optimized so that the mirror roughness can be achieved. Based on the Preston equation and Hertz contact theory, the theoretical material removal equation for surface polishing of elastic abrasives is obtained, and the polishing parameters to be optimized are as follows: particle size S, rotational speed Wt, cutting depth Ap, and feed speed Vf. The Taguchi method is applied to design the orthogonal experiment with four factors and three levels. The influence degree of various factors on the roughness of the polished surface and the combination of parameters to be optimized were obtained by the range analysis method. The particle swarm optimization algorithm optimizes the BP neural network algorithm (PSO-BP), which is used to optimize the polishing parameters. The results show that the rotational speed has the greatest influence on the roughness, the influence degree of abrasive particle size is greater than that of feed speed, and the influence of cutting depth is the least. The optimum parameters are as follows: particle size S 1200#, rotational speed Wt 4500rpm, cutting depth Ap 0.25mm, and feed speed Vf 0.8mm/min. The roughness of the surface polishing with optimum parameters is reduced to 0.021 μm.

Effects of Cutting Parameters on the Surface Roughness of Ti6Al4V Titanium Alloys in Side Milling

2011 ◽  
Vol 175 ◽  
pp. 289-293 ◽  
Author(s):  
Hao Liu ◽  
Chong Hu Wu ◽  
Rong De Chen
Keyword(s):  
Surface Roughness ◽  
Titanium Alloys ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Cutting Depth ◽  
Side Milling ◽  
Milling Parameters ◽  
Fine Grain

Side milling Ti6Al4V titanium alloys with fine grain carbide cutters is carried out. The influences of milling parameters on surface roughness are investigated and also discussed with average cutting thickness, material removal rate and vibration. The results reveal that the surface roughness increases with the increase of average cutting thickness and is primarily governed by the radial cutting depth.

Experimental Study on the Surface Roughness in Mesoscopic-Scale Grinding of Nickel-Based Superalloy

2016 ◽  
Vol 1136 ◽  
pp. 9-14
Author(s):  
Yun Guang Zhou ◽  
Ya Dong Gong ◽  
Yang Sun ◽  
Zhong Xiao Zhu ◽  
Qi Gao
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Feed Rate ◽  
Theoretical Basis ◽  
Spindle Speed ◽  
Range Analysis ◽  
Mesoscopic Scale ◽  
Nickel Based Superalloy ◽  
Grinding Parameters ◽  
Grinding Tool

This paper uses micro-grinding tool with 500# grains and 0.9 mm diameter to grind nickel-based superalloy Inconel600 through three factors(grinding depth, feed rate, spindle speed ) at three levels orthogonal grinding experiment in mesoscopic scale. Then according to the range analysis of surface roughness, the primary and secondary influencial factors are found; the micro grinding parameters are optimized ,the results show: the influence of the feed rate(vf)is the biggest, followed by the spindle speed(n), the grinding depth(ap) is minimal, when n=50kr/min, vf=100μm/s, ap=6μm, the grinding surface roughness is minimum: Ra=579nm; finally , the regression mathematical model of micro grinding surface roughness is established, the relative error of the calculated value and experimental measurements is low, showing that this regression mathematical model is accurate and effective. This study provides a theoretical basis for the micro grinding parameters and surface quality control of nickel-based superally.

A Prediction Model of Surface Roughness in Micro End Milling

2015 ◽  
Vol 727-728 ◽  
pp. 354-357
Author(s):  
Mei Xia Yuan ◽  
Xi Bin Wang ◽  
Li Jiao ◽  
Yan Li
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
Feed Rate ◽  
End Milling ◽  
Orthogonal Experiment ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Micro Milling ◽  
Cutting Depth ◽  
Micro End Milling

Micro-milling orthogonal experiment of micro plane was done in mesoscale. Probability statistics and multiple regression principle were used to establish the surface roughness prediction model about cutting speed, feed rate and cutting depth, and the significant test of regression equation was done. On the basis of successfully building the prediction model of surface roughness, the diagram of surface roughness and cutting parameters was intuitively built, and then the effect of the cutting speed, feed rate and cutting depth on the small structure surface roughness was obtained.

Research on the Cutting Fluid Effect on Cutting Force and Surface Roughness in Rotor Milling

2012 ◽  
Vol 723 ◽  
pp. 50-55
Author(s):  
Jian Lu Wang ◽  
Liang Liang Wu ◽  
Jun Zhang ◽  
Wan Hua Zhao ◽  
Yi Fei Jiang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Design Method ◽  
Uniform Design ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Cutting Fluid ◽  
Cutting Depth ◽  
Multivariable Regression ◽  
Uniform Design Method

A series of milling experiments with and without cutting fluid, arranged by uniform design method, were carried out on rotor material. The influence of cutting fluid on cutting force and surface roughness was explored and compared for the two kinds of conditions. The associated model was established between cutting force & surface roughness and cutting parameters according to the linear multivariable regression method. The results show that the cutting force deceases with the increase of the cutting speed or with the decrease of the feed per tooth and the cutting depth. Cutting fluid has little effect on cutting force, and for surface roughness, the influence of cutting fluid is uncertain.

Effects of Spindle Speed on Surface Qualities in WPC Sawing

2010 ◽  
Vol 33 ◽  
pp. 487-491 ◽  
Author(s):  
Xiao Lei Guo ◽  
Hui Nan Liu ◽  
Wei Gao ◽  
Ping Xiang Cao ◽  
Yong Guo
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Solid Wood ◽  
Spindle Speed ◽  
Rice Hull ◽  
Dimensional Precision ◽  
High Cutting Speed ◽  
Plastic Composites ◽  
Pp Composites

Wood plastic composites (WPCs) are the industrial products. It is made out of wood waste fibre and waste plastic glued together by heat and pressure. Nowadays WPCs products are preferred over solid wood in many applications due to certain comparative advantages. Sawing is the machining operation frequently used in manufacturing parts of WPCs. The aim of this article is to study the effect of cutting speed on surface roughness in different WPCs sawing. A plan of WPCs sawing experiments was preformed with prefixed cutting parameters. The objective was to establish correlation between rice hull flour/PE composite, rice hull flour/PP, rice hull flour/PVC and cutting speed with the surface roughness after sawing. The results show that the spindle speed had significant effects on the surface qualities of rice hull flour/PE composites, rice hull flour/PVC composites and rice hull flour/PP composites. The advantage of using a high cutting speed in WPCs sawing is evident. With appropriate cutting parameters, one can obtain surfaces with Ra＜6μm and to get surfaces qualities (dimensional precision) in workpiece of different WPCs.

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