scholarly journals Optimization of Cutting Parameters in Face Milling of Nodular Cast Iron for Minimum Surface Residual Stress Using the Taguchi Method

2018 ◽  
Vol 10 (4) ◽  
pp. 302-307
Author(s):  
Yamin Zhu ◽  
◽  
Kuanmin Mao ◽  
Xunxing Yu
Keyword(s):  
Residual Stress ◽  
Cast Iron ◽  
Taguchi Method ◽  
Nodular Cast Iron ◽  
Cutting Parameters ◽  
Face Milling ◽  
Surface Residual Stress ◽  
Minimum Surface ◽  
Optimization Of Cutting Parameters

Optimization of Cutting Parameters for Face Milling of Cast Iron by Reducing Specific Cutting Energy and Machined Surface Roughness

2015 ◽  
Vol 727-728 ◽  
pp. 339-344 ◽  
Author(s):  
Melissa Schlüter ◽  
Henrique Butzlaff Hübner ◽  
André João de Souza
Keyword(s):  
Cast Iron ◽  
Nodular Cast Iron ◽  
Cutting Parameters ◽  
Face Milling ◽  
Depth Of Cut ◽  
Machined Surface ◽  
Controllable Factors ◽  
Input Parameters ◽  
Machined Surface Roughness ◽  
Optimization Of Cutting Parameters

The search for continuous improvement of the processes and products offered to the market combined with continuous efforts to reduce energy consumption stimulates the development of techniques and tools geared towards their optimization. Thus, this manuscript describes the application of multivariate optimization in the process of face milling of DIN GGG 50 nodular cast iron by means of experimental design techniques, regression models, and Taguchi loss function. Three input parameters (axial “ap” and radial “ae” depth of cut, and feed-rate “f”) were used as controllable factors of the process and two output parameters (specific cuttingenergy “es” and roughnessaverage “Ra”) were considered as response variables. The output obtained as a result of optimization wases= 1.41 J/mm3andRa= 0.85 µm by applying the input parametersap= 2.34 mm,ae= 33.4 mm andf= 0.44 mm/rev.

Finite Element Simulation of Orthogonal Cutting of Nodular Cast Iron

2008 ◽  
Vol 392-394 ◽  
pp. 929-934
Author(s):  
Sheng Wen Zhang ◽  
Chan Yuan Gong ◽  
Xi Feng Fang ◽  
C.S. Zhu ◽  
W. Jia
Keyword(s):  
Cast Iron ◽  
Orthogonal Cutting ◽  
Cutting Temperature ◽  
Chip Morphology ◽  
Nodular Cast Iron ◽  
Cutting Parameters ◽  
Simulation Software ◽  
Cast Irons ◽  
Deform 2D ◽  
Optimization Of Cutting Parameters

Some key techniques such as material constitutive model, friction characteristics at tool-chip interface were discussed. And the constitutive equation for nodular cast iron 500-7 was established. Then the simulation software DEFORM-2D was used to simulate the orthogonal cutting process. Finally, the influences of cutting parameters and tool geometries on cutting forces, cutting temperature and chip morphology were analyzed. This study provides some academic support to the optimization of cutting parameters for nodular cast irons.

scholarly journals Effect of residual stress on fatigue strength of induction hardened nodular cast iron.

1988 ◽  
Vol 37 (417) ◽  
pp. 631-636 ◽  
Author(s):  
Katsushi SARUKI ◽  
Akira YAMADA ◽  
Kazuyoshi OGAWA
Keyword(s):  
Residual Stress ◽  
Cast Iron ◽  
Fatigue Strength ◽  
Nodular Cast Iron

Effect of Cutting Parameters on the Surface Residual Stress of Face-Milled Pearlitic Ductile Iron

2017 ◽  
Vol 4 (1) ◽  
pp. 38-52
Author(s):  
Olutosin Olufisayo Ilori ◽  
Dare A. Adetan ◽  
Lasisi E. Umoru
Keyword(s):  
Residual Stress ◽  
Fluid Flow ◽  
Flow Rate ◽  
Ductile Iron ◽  
Cutting Parameters ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Fluid Flow Rate ◽  
Surface Residual Stress ◽  
Average Surface

The study determined the effect of cutting parameters on the surface residual stress of face-milled pearlitic ductile iron with a view to enhancing surface integrity of machined parts in the manufacturing industries. The pearlitic ductile iron used for this study was prepared and four cutting parameters were considered. The results obtained showed that the average surface residual stress of the machined surfaces was tensile and increased significantly with increase in depth of cut. Feed rate and cutting speed exhibited some effect, though not statistically significant, on average surface residual stress. The average residual stress was found to decrease significantly and drastically from 605.39 MPa to 101.72 MPa as cutting fluid flow rate increased from 0 ?/min to 4 ?/min. The study concluded that out of all four cutting parameters investigated, the cutting fluid flow rate has most considerable influence on the surface residual stress of the machined pearlitic ductile iron.

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