Service-oriented Research on Multi-pass Milling Parameters Optimization for Green and High Efficiency

2015 ◽  
Vol 51 (11) ◽  
pp. 89 ◽  
Author(s):  
Yao LI
Keyword(s):  
High Efficiency ◽  
Parameters Optimization ◽  
Milling Parameters ◽  
Service Oriented ◽  
Oriented Research

Study on Milling Parameters Optimization in Remanufacturing Cold-Welding Area

2012 ◽  
Vol 500 ◽  
pp. 123-127 ◽  
Author(s):  
Qing Zhong Xu ◽  
Fang Yi Li ◽  
Shi Lei Ma ◽  
Jun Zhuang Liu
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
High Efficiency ◽  
Regression Method ◽  
Parameters Optimization ◽  
Linear Regression Method ◽  
Cold Welding ◽  
Range Analysis ◽  
Milling Force ◽  
Milling Parameters

Considering cold-welding repaired layer is rough and microstructure contains hard phases, firstly, the two-factor three-level orthogonal milling experiment was conducted in remanufacturing cold-welding repaired area, then the influences of different parameters on Ni-base cold-welding repaired layer milling were studied. At the end, cutting force and surface roughness were used as objectives to optimize the milling parameters. Cutting force and surface roughness were processed by range analysis, and their influence sequences were obtained. The empirical formula of milling force and surface roughness can be obtained through linear regression method, which provided theoretical base for the prediction. The influences on cutting force and surface roughness of different parameters were studied to further optimization, which can provide technical support for high efficiency and precision cutting in cold-welding area.

Parameters optimization of a high efficiency discrete Raman fiber amplifier

2007 ◽  
Author(s):  
Liang Dou ◽  
Shien-Kuei Liaw ◽  
Ming Li ◽  
Yi-Tseng Lin ◽  
Anshi Xu
Keyword(s):  
High Efficiency ◽  
Fiber Amplifier ◽  
Parameters Optimization ◽  
Raman Fiber Amplifier

Parameters Optimization of Linear Compressor for Refrigerator

2013 ◽  
Vol 331 ◽  
pp. 84-87 ◽  
Author(s):  
Zhi Hai Li ◽  
Yan Liu ◽  
Yuan Zhong
Keyword(s):  
System Analysis ◽  
High Efficiency ◽  
Input Power ◽  
Wire Diameter ◽  
Parameters Optimization ◽  
Free Piston ◽  
Linear Compressor ◽  
Effective Work ◽  
Cylinder Diameter ◽  
System Equations

Recently linear compressor with a free piston is widely paid attention to for its high efficiency. This paper presents parameters optimization of linear compressor used for Refrigerator. The system equations of linear compressor are established through system analysis and solved by variable step Newmark method. The piston movement, current, input power, effective work, resistive loss, damping loss and efficiency are calculated for the optimization from the system equations. Coil wire diameter, stroke and cylinder diameter are important parameters of linear compressor, which have great importance on its performance. The coil wire diameter was changed to find out its affect to loss of resistance. The efficiency of linear compressor and current of the coil are analyzed with the same exhaust volume and different stroke and cylinder diameter. Through the analysis the parameters of the linear compressor are optimized.

Design Milling Parameters Optimization System Based on Thin-Walled Parts

2011 ◽  
Vol 189-193 ◽  
pp. 2482-2485
Author(s):  
Xin Hua Mao ◽  
Zhi Gang Hu ◽  
Ting Ting Huang
Keyword(s):  
Structural Features ◽  
Parameters Optimization ◽  
Processing Conditions ◽  
Milling Force ◽  
Optimization System ◽  
Milling Parameters ◽  
Low Stiffness ◽  
Thin Walled

Because of its low stiffness and intensity structural features, thin-walled parts affected by milling force, easily produce deformation and vibration among processing. In this paper, by optimizing milling parameters, it can be realized to control the size of the dynamic milling force and the milling state. Then it reaches the purpose to decrease workpiece deformation, and makes processing conditions maintain a stable. It not only reduces deformation caused by the vibration, but also makes thin-walled parts errors meet the tolerance requirements.

Study on Parameters Optimization of Ceramic Machining Process

2011 ◽  
Vol 418-420 ◽  
pp. 1338-1341
Author(s):  
Qiang Wang ◽  
Ying Ying Zeng ◽  
Xu Guang Min
Keyword(s):  
High Efficiency ◽  
Low Cost ◽  
Cutting Speed ◽  
Tool Material ◽  
Parameters Optimization ◽  
Machining Process ◽  
Impact Factors ◽  
Surface Model ◽  
Optimal Parameters ◽  
Ceramic Machining

The response surface model is established through application of surface response method, then the main impact factors of ceramic machining are determined, and the process parameters are optimized. The mechanical machining technology of ceramic materials is analyzed, and the corresponding optimal parameters are proposed by cutting tool material, rake angle, clearance angle and edge angle, and three cutting elements as cutting speed, cutting depth and feed. Accord to the optimal parameters, high efficiency, good quality and low cost results can be achieved to machine ceramic parts.

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.

Applying TRIZ for Optimization Formulation of Sapphire Precision Lapping

2010 ◽  
Vol 102-104 ◽  
pp. 564-567 ◽  
Author(s):  
Xiao Wang ◽  
Cong Da Lu ◽  
Tao Hong
Keyword(s):  
Experimental Data ◽  
High Efficiency ◽  
Processing Parameters ◽  
Parameters Optimization ◽  
Processing Theory ◽  
Optimization Formulation ◽  
The Face ◽  
Optimization Parameters ◽  
Set Up

This paper presents the parameters optimization by TRIZ theory in the precision lapping of sapphire in order to realize the high efficiency and low damaged lapping. The TRIZ theory was used to optimize processing parameters of sapphire precision lapping based on much experimental data of lapping, then the conflict matrix of internal contradictions was set up and the optimization parameters was obtained. The result of experiment indicated that the face quality of sapphire was improved greatly after optimized by TRIZ. There was a conclusion that TRIZ theory can be used to optimize the processing parameters of sapphire precision lapping which is important to enrich the processing theory of sapphire.

Research on Finite Element Simulation and Parameters Optimization of Milling 7050-T7451 Aluminum Alloy Thin-walled Parts

2020 ◽  
Vol 14 ◽  
Author(s):  
Song Yang ◽  
Tie Yin ◽  
Feiyue Wang
Keyword(s):  
Aluminum Alloy ◽  
Complex Structure ◽  
Parameters Optimization ◽  
Thin Wall ◽  
Machining Parameters ◽  
Milling Parameters ◽  
Machining Deformation ◽  
Milling Temperature ◽  
Thin Walled ◽  
Milling Forces

Background: Thin-walled parts of aluminum alloy are easy to occur machining deformation duo to the characteristics of thin wall, low rigidity, and complex structure. Objective: To reduce and control the machining deformation, it is necessary to select reasonable machining parameters. Method: The influence of milling parameters on the milling forces, milling temperature, and machining deformation was analyzed through the established model based on ABAQUS. Then, the corresponding empirical formula was obtained by MATLAB, and parameters optimization was carried out as well. Besides, a lot of patents on machining thin-walled parts were studied. Results: The results shown that the prediction error of milling forces is about 15%, and 20% of milling temperature. In this case, the optimized milling parameters are as follows: ap=1 mm, ae=0.1 mm, n=12 000 r/min, and f=400 mm/min. It is of great significance to reduce the machining deformation and improve the machining quality of thin-walled parts.

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