Construction of the Optimal Milling Parameters Database for Radar Key Parts

2010 ◽  
Vol 44-47 ◽  
pp. 340-344 ◽  
Author(s):  
Feng Xu ◽  
Jian Jun Zhu ◽  
Dai Qiang Peng ◽  
Xiao Jun Zhang ◽  
Dun Wen Zuo
Keyword(s):  
Data Model ◽  
Material Removal ◽  
Removal Rate ◽  
General Structure ◽  
Basic Function ◽  
Parameters Optimization ◽  
Optimal Method ◽  
Milling Parameters ◽  
Global Optimal ◽  
Entity Relationship

In this paper, the study is carried out on the milling parameters optimization and cutting database development of radar key parts in electronics industry. The method is proposed in detail on parameters optimization. The material removal rate is chosen as optimization objective. The cutting constraints include machining tool power, tool life, surface quality, deformation and strength of milling cutter and the chatter stability. The genetic algorithm is selected as global optimal method. At last, it presents the solutions of cutting database based on Web, which include general structure, basic function and entity relationship data model.

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.

Optimization of Surface Roughness by Uniform Design of Experiments in Milling of 1Cr18Ni9Ti

2009 ◽  
Vol 69-70 ◽  
pp. 490-494 ◽  
Author(s):  
H.Z. Zhang ◽  
Qing Long An ◽  
Yun Shan Zhang ◽  
Gang Liu ◽  
Ming Chen
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Uniform Design ◽  
Depth Of Cut ◽  
Milling Parameters ◽  
Roughness Model ◽  
Radial Depth

This paper presents the optimization process of a surface roughness model for the milling 1Cr18Ni9Ti. The model is developed in term of milling speed, feed per tooth and radial depth of cut. Therefore, the regression model predicting formula for surface roughness has been established by means of uniform design of experiment, and then the response surface methodology was applied to generate response contours of surface roughness. The experimental results indicate that the material removal rate can be improved by selecting optimal milling parameters without increasing the surface roughness. Moreover, it is seen that the feed rate is the most significant factor on the surface roughness.

Parameters Optimization of the Ultrasonic External Cylindrical Lapping Process for Nano ZTA Engineering Ceramics Using Response Surface Methodology

2007 ◽  
Vol 364-366 ◽  
pp. 733-738
Author(s):  
Feng Jiao ◽  
Bo Zhao ◽  
Chuan Shao Liu ◽  
Xun Sheng Zhu
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Parameters Optimization ◽  
Response Models ◽  
Engineering Ceramics ◽  
Surface Response

Aimed at the precision machining characteristics of nano ZTA engineering ceramics external cylindrical components, ultrasonic aided lapping experiments were carried out adopting inhouse developed ultrasonic external cylindrical lapping device with solid abrasive material. To obtain minimum surface roughness with constraint of the material removal rate, response surface methodology (RSM) was adopted to analyze the experimental data, and suitable experiment design was chosen to fit the response surface in this research. Second-order surface response models of surface roughness and material removal rate were developed respectively, and the influence laws of lapping parameters on surface roughness and material removal rate were clarified according to the built models. Finally, parameters optimization of the ultrasonic external cylindrical lapping process for nano ZTA engineering ceramics was realized using surface response methodology.

Experimental Study on Milling Parameters Regression and Optimization of Super High Strength Steel 30CrMnSiNi2A

2012 ◽  
Vol 723 ◽  
pp. 293-298 ◽  
Author(s):  
Ming Chen ◽  
Cheng Dong Wang ◽  
Li Jiang ◽  
Qiu Lin Niu
Keyword(s):  
Surface Roughness ◽  
Regression Model ◽  
Cutting Force ◽  
High Strength Steel ◽  
Metal Removal ◽  
Removal Rate ◽  
Multiple Linear Regression Model ◽  
High Strength ◽  
Parameters Optimization ◽  
Milling Parameters

In this paper, effects of milling parameters on cutting force and surface roughness during symmetrical face dry milling process of super high strength steel 30CrMnSiNi2A were presented. Multiple linear regression model and orthogonal rotary quadratic regression model were established to analyze cutting force and surface roughness, respectively. Their adequacy was estimated by variance analysis and experimental data comparison. Parameters optimization for maximum metal removal rate and minimum surface roughness were also discussed.

scholarly journals Multiobjective Optimization of Milling Parameters for Ultrahigh-Strength Steel AF1410 Based on the NSGA-II Method

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jin Xu ◽  
Fuwu Yan ◽  
Yan Li ◽  
Zhenchao Yang ◽  
Long Li
Keyword(s):  
Surface Roughness ◽  
Multiobjective Optimization ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Depth Of Cut ◽  
Milling Force ◽  
Nsga Ii ◽  
Milling Parameters ◽  
Ultrahigh Strength Steel

In this paper, ultrahigh-strength steel AF1410 was milled with the carbide tool, and a total of thirty experiments were performed based on central composite design (CCD) of response surface methodology. The prediction models of milling force and surface roughness are established, respectively. The influence of milling parameters (milling speed, each tooth feed, radial depth of cut, and axial depth of cut) on milling force and surface roughness is studied by ANOVA and established prediction model. Multiobjective optimization of milling parameters is accomplished based on nondominated sorting genetic algorithm II (NSGA-II) with milling force, surface roughness, and material removal rate as optimization objectives. The surface roughness, cutting force, and material removal rate are important indexes to measure the energy consumed in the process of product, the surface machining quality, and machining efficiency of processing, respectively. In order to minimize milling force and surface roughness and maximize material removal rate, NSGA-II was used for multiobjective optimization to obtain the optimal fitness value of the objective function. The NSGA-II has been applied to obtain a set of optimal combination of parameters from the Pareto-optimal solution set to enhance the machining conditions.

scholarly journals Research on High Performance Milling of Engineering Ceramics from the Perspective of Cutting Variables Setting

Materials ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 122
Author(s):  
Rong Bian ◽  
Wenzheng Ding ◽  
Shuqing Liu ◽  
Ning He
Keyword(s):  
Material Removal ◽  
High Performance ◽  
Removal Rate ◽  
Chip Thickness ◽  
Depth Of Cut ◽  
End Mill ◽  
Uncut Chip Thickness ◽  
Machined Surface ◽  
Milling Parameters ◽  
Corner Radius

The setting of cutting variables for precision milling of ceramics is important to both the machined surface quality and material removal rate (MRR). This work specifically aims at the performance of corner radius PCD (polycrystalline diamond) end mill in precision milling of zirconia ceramics with relatively big cutting parameters. The characteristics of the cutting zone in precision milling ceramics with corner radius end mill are analyzed. The relationships between the maximum uncut chip thickness (hmax) and the milling parameters including feed per tooth (fz), axial depth of cut (ap) and tool corner radius (rε) are discussed. Precision milling experiments with exploratory milling parameters that cause uncut chip thickness larger than the critical value were carried out. The material removal mechanism was also analyzed. According to the results, it is advisable to increase fz appropriately during precision milling ZrO2 ceramics with corner radius end mill. There is still a chance to obtain ductile processed surface, as long as the brittle failure area is controlled within a certain range. The appropriate increasing of ap, not only can prevent the brittle damage from affecting the machined surface, but also could increase the MRR. The milling force increases with increasing MRR, but the surface roughness can still be stabilized within a certain range.

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