Improvement of Grain Size and Dome Height of Microalloyed Steels Using Taguchi Method Based on Grey Relational Grade in Controlled Rolling

Ayaz, Mohsen; Khaki, Daavood Mirahmadi; Arab, Nasrollah Bani Mostafa

doi:10.1016/s1006-706x(13)60224-1

Cited by 4 publications

(10 citation statements)

References 13 publications

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“…In other words, a higher Grey relational grade results in better quality characteristics. 25,29 Experiment number 12 possesses the highest Grey relational grade with the order of 1. Consequently, A 2 B 1 C 3 D 2 E 2 F 1 G 1 H 3 is the preferred combination of process parameters for access to the best surface integrity among the orthogonal experiments.…”

Section: 2531-33mentioning

confidence: 99%

“…24,25,33 The estimated Grey relational grade at the preferred condition can be calculated as follows…”

Section: Confirmation Experimentsmentioning

confidence: 99%

“…where y i is the average measured value of the ith experiment and n is the number of the repeated experiment. 24,25,29 Table 5 shows the experimental results of surface roughness, surface microhardness, and surface residual stress as well as, the corresponding S/N ratios using equations ( 1) and (2).…”

Section: Analysis Of the Signal-to-noise Ratiomentioning

confidence: 99%

“…z is taken as 0.5 in this study. 24,25,[31][32][33] The weights of multi-performance characteristics are different from each other due to the variety of surface integrity properties. To obtain more accurate results, the weight coefficients of various performances can be determined by the entropy weight method (EWM) combined with the analytic hierarchy process (AHP).…”

Section: Grey Relational Analysismentioning

confidence: 99%

“…Furthermore, previous studies have mainly been concerned with the separate optimization of cutting parameters, tool geometry, or cutting fluid condition, and they have not typically considered comprehensively optimizing the surface integrity in the machining process. [24][25][26][27] The aim of this study is to investigate the surface integrity of the high-speed milling of the new ultrahigh-strength titanium alloy TB17. The Taguchi-Grey relational analysis method, a relatively effective approach to design experiments and achieve multiobjective optimization, has been utilized to optimize the process parameters, including milling parameters, tool geometry, and cutting fluid condition, and to simultaneously analyze the influence of process parameters on surface integrity.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of process parameters in the high-speed milling of titanium alloy TB17 for surface integrity by the Taguchi-Grey relational analysis method

Chen

Xie

et al. 2016

Advances in Mechanical Engineering

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TB17 is an ultra-high-strength titanium alloy, a material typically difficult to machine. The surface quality and integrity of titanium alloy TB17 are poor after machining, which can seriously affect its service performance and restrict its fields of application. Therefore, the optimization of high-speed milling process parameters for the new ultra-high-strength titanium alloy TB17 was investigated based on multiple performance characteristics, including surface roughness, surface microhardness, and surface residual stress. The Taguchi method with grey relational analysis was utilized for the experiments. Additionally, analysis of variance was employed to evaluate the most influential factors for surface integrity in the high-speed milling of titanium alloy TB17. The results of the analysis using the Taguchi-Grey relational analysis method indicate that the preferred combination of high-speed milling process parameters are as follows: the cutting fluid condition of H-1 fine grinding fluid, using a milling speed of 100 m/min, a feed per tooth of 0.02 mm/z, an axial depth of cut of 1 mm, a radial depth of cut of l.5 mm, a rake angle of 18°, a clearance angle of 12°, and a helix angle of 60°. Moreover, the analysis of variance reveals that milling speed has the greatest effect on the surface integrity in the high-speed milling of the TB17 titanium alloy, and the contribution percentages for each factor are as follows: the cutting fluid condition (3.98%), milling speed (25.89%), feed per tooth (8.96%), axial depth of cut (1.29%), radial depth of cut (13.71%), rake angle (17.17%), clearance angle (6.62%), and helix angle (15.64%).

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Section: 2531-33mentioning

confidence: 99%

“…24,25,33 The estimated Grey relational grade at the preferred condition can be calculated as follows…”

Section: Confirmation Experimentsmentioning

confidence: 99%