The Optimization of Cutting Parameters for Surface Roughness in High Speed Milling Based on Taguchi Method

2012 ◽  
Vol 723 ◽  
pp. 196-201 ◽  
Author(s):  
Peng Nan Li ◽  
Ming Chen ◽  
Xiao Jian Kang ◽  
Li Na Zhang ◽  
Ming Zhou
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
High Speed ◽  
Cutting Parameters ◽  
Milling Process ◽  
High Speed Milling ◽  
Aisi 1045 Steel ◽  
Optimization Of Cutting Parameters ◽  
1045 Steel ◽  
Optimal Cutting Parameters

In this study AISI 1045 steel of different hardness are used in high speed milling. According to Taguchi method, cutting parameters (milling speed, milling depth, feed per tooth) and workpiece hardness for the influence of high speed milling of the surface roughness are optimized. Through this study, not only the optimal cutting parameters of the minimum surface roughness is obtained, but also the main cutting parameters that effect performance in high speed milling is analysed. Researching results can be provided to guide establishment of the high speed milling process.

Parameters Optimization Research of High-Speed Milling PM60 Mould Steel Based on Taguchi Method

2016 ◽  
Vol 861 ◽  
pp. 75-83
Author(s):  
Ying Xing Xie ◽  
Cheng Yong Wang ◽  
Feng Ding ◽  
Wen Huang
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
High Speed ◽  
High Hardness ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Depth Of Cut ◽  
High Speed Milling ◽  
Radial Depth ◽  
Optimal Cutting Parameters

In order to obtain better surface quality after high speed milling high hardness mold steel, and reduce tool wear in cutting process, prolong the service life of cutting tools, obtain superior levels and optimal combination of cutting parameters in the test range. Through the design of orthogonal experiment, the use of Taguchi method, and noise ratio analysis and variance analysis of dry cutting high hardness mould steel PM60 under different cutting parameters; and finally, the optimal cutting parameters of surface roughness and cutting force value were predicted and verified. Research showed that: the worst cutting parameters influenced the surface roughness Ra was radial depth of cut ae, its influence was highly significant, followed by spindle speed n and depth of axial cut ap; the most serious impact cutting parameter of cutting force F was the feed speed vf, followed by the spindle speed n and radial depth of cut ae; verification test showed that the optimal cutting parameters combination were reasonable and the calculation errors of the predicted values and experimental values were very small, indicating that Taguchi method in cutting parameters optimization of cutting mould steel PM60 was valid.

scholarly journals Optimization of Cutting Parameters for Trade-off Among Carbon Emissions, Surface Roughness, and Processing Time

2019 ◽  
Vol 32 (1) ◽  
Author(s):  
Zhipeng Jiang ◽  
Dong Gao ◽  
Yong Lu ◽  
Xianli Liu
Keyword(s):  
Surface Roughness ◽  
Carbon Emissions ◽  
Processing Time ◽  
Cutting Parameters ◽  
Machining Process ◽  
Trade Off ◽  
Pareto Fronts ◽  
Optimization Of Cutting Parameters ◽  
1045 Steel ◽  
Optimal Cutting Parameters

AbstractAs the manufacturing industry is facing increasingly serious environmental problems, because of which carbon tax policies are being implemented, choosing the optimum cutting parameters during the machining process is crucial for automobile panel dies in order to achieve synergistic minimization of the environment impact, product quality, and processing efficiency. This paper presents a processing task-based evaluation method to optimize the cutting parameters, considering the trade-off among carbon emissions, surface roughness, and processing time. Three objective models and their relationships with the cutting parameters were obtained through input–output, response surface, and theoretical analyses, respectively. Examples of cylindrical turning were applied to achieve a central composite design (CCD), and relative validation experiments were applied to evaluate the proposed method. The experiments were conducted on the CAK50135di lathe cutting of AISI 1045 steel, and NSGA-II was used to obtain the Pareto fronts of the three objectives. Based on the TOPSIS method, the Pareto solution set was ranked to find the optimal solution to evaluate and select the optimal cutting parameters. An S/N ratio analysis and contour plots were applied to analyze the influence of each decision variable on the optimization objective. Finally, the changing rules of a single factor for each objective were analyzed. The results demonstrate that the proposed method is effective in finding the trade-off among the three objectives and obtaining reasonable application ranges of the cutting parameters from Pareto fronts.

Stability Prediction during Thin-Walled Workpiece High-Speed Milling

2009 ◽  
Vol 69-70 ◽  
pp. 428-432 ◽  
Author(s):  
Qing Hua Song ◽  
Yi Wan ◽  
Shui Qing Yu ◽  
Xing Ai ◽  
J.Y. Pang
Keyword(s):  
High Speed ◽  
Dynamic Properties ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Milling Process ◽  
Machining Process ◽  
High Speed Milling ◽  
Thin Walled ◽  
Optimization Of Cutting Parameters ◽  
Free Material

A method for predicting the stability of thin-walled workpiece milling process is described. The proposed approach takes into account the dynamic characteristics of workpiece changing with tool positions. A dedicated thin-walled workpiece representative of a typical industrial application is designed and modeled by finite element method (FEM). The workpiece frequency response function (FRF) depending on tool positions is obtained. A specific 3D stability chart (SC) for different spindle speeds and different tool positions is then elaborated by scanning the dynamic properties of workpiece along the machined direction throughout the machining process. The dynamic optimization of cutting parameters for increasing the chatter free material removal rate and surface finish is presented through considering the chatter vibration and forced vibration. The investigations are compared and verified by high speed milling experiments with flexible workpiece.

Design Optimization of Cutting Parameters Using Taguchi Method and ANOVA during High-Speed Machining Hardened H13 Steel

2009 ◽  
Vol 626-627 ◽  
pp. 129-134
Author(s):  
Song Zhang ◽  
Y.B. Guo
Keyword(s):  
Surface Roughness ◽  
Design Optimization ◽  
High Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
High Speed Machining ◽  
H13 Steel ◽  
High Speed Milling ◽  
Optimization Of Cutting Parameters ◽  
Coated Carbide

High-speed machining thoroughly hardened tool steels has emerged as a competitive finishing technology for making dies and molds. The objective of this paper is to develop an optimization method for the better (i. e., lower value) surface roughness in terms of cutting parameters when high-speed milling hardened H13 steel. The cutting parameters to be considered were cutting speed, feed per tooth, radial depth of cut, and axial depth of cut, respectively. A series of high-speed milling experiments of hardened H13 steel using PVD coated carbide inserts without any cutting fluids were performed to measure the surface roughness data. Taguchi orthogonal arrays, signal-to-noise (S/N) ratio, and analysis of variance (ANOVA) were used to evaluate the effects of cutting parameters on surface roughness and to find the optimal factor/level combination for the better surface roughness. The investigations of this study would be used for design optimization of cutting parameters to obtain the better surface roughness.

Research on Optimal Cutting Parameters of High-Speed Machining Based on Taguchi Method

2011 ◽  
Vol 403-408 ◽  
pp. 732-737
Author(s):  
Zhong Lin Tang ◽  
Hong Bin Liu
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
High Speed ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
High Speed Machining ◽  
Cutting Depth ◽  
The Mean ◽  
Optimal Cutting Parameters ◽  
Different Levels

In order to find optimal cutting parameters of carbon steel C45, the optimizing experiment of the cutting parameters in High-Speed Machining based on Taguchi method is presented in this paper. High-Speed milling experiments were designed with high-speed machining tool and surface roughness tester as the equipment. The cutting speed, the feed per tooth and the cutting depth were selected as the cutting parameters while the surface roughness was taken as the criterion. The mean surface roughness and SNR of every factor at different levels was obtained. The effects of these parameters on the surface roughness have been researched by means of the analysis of variance, and then the optimal cutting parameters were found.

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