Research on the Surface Roughness Predictive Model of Austempered Ductile Iron Based on Genetic Algorithm

2012 ◽  
Vol 497 ◽  
pp. 61-67
Author(s):  
Ting Ting Chen ◽  
Xu Hong Guo ◽  
Hao Jin Yang
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
Ductile Iron ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Austempered Ductile Iron ◽  
Dry Cutting ◽  
Quenching Temperature

As a search algorithm for optimization based on the mechanics of natural selection and genetics, Genetic Algorithm (GA) has been widely used for solving optimization problems in various fields. According to the present manufacture situation of Austempered Ductile Iron (ADI), three samples with different quenching temperature were prepared and their mechanical properties were tested. The ceramic cutter CC6050 were used in the precise dry cutting experiment and 2205 profilometer was used to measure the surface roughness of the workpieces. The predictive models of the surface roughness during the dry finishing process were established based on Genetic Algorithm, then the results were compared with those gotten by multiple regressions, and the relationship between the surface roughness and the quenching temperature was analyzed. the cutting speed and the feed rate has greater impact on the surface roughness among the three cutting parameters, and the obtained surface roughness was larger as the quenching temperature increased.

The Effects of Cutting Speed and Depth of Cut on Machinability Characteristics of Austempered Ductile Iron

2012 ◽  
Vol 134 (2) ◽  
Author(s):  
Ahmet Akdemir ◽  
Şakir Yazman ◽  
Hacı Saglam ◽  
Mesut Uyaner
Keyword(s):  
Surface Roughness ◽  
Ductile Iron ◽  
Flank Wear ◽  
Tangential Force ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Salt Bath ◽  
Austempered Ductile Iron ◽  
Dominant Factor ◽  
Depth Of Cut

Ductile iron can acquire enhanced thermal and mechanical properties from austempering heat treatment. The present study aims to identify the function of different cutting parameters affecting machinability and to quantify its effects. Turning was performed to test machinability according to the ISO3685-1993 (E) standard. After austenitizing at 900 °C for 90 min, austempered ductile iron (ADI) specimens were quenched in a salt bath at 380 °C for 90 min. The cutting force signals along three directions were measured in real time, whereas flank wear and surface roughness were measured offline. For the cutting parameters, the cutting speed and depth of cut were varied, but the feed rate was kept constant. In the flank wear tests, machining length was corresponded to tool life. In addition, in order to find out the effect of cutting parameters on surface roughness (Ra), tangential force (Ft), and flank wear (VB) during turning, response surface methodology (RSM) was utilized by using experimental data. The effect of the depth of cut on the surface roughness was negligible but considerable in the cutting forces. The increased cutting speed produced a positive effect on surface roughness. It is found that the cutting speed was the dominant factor on the surface roughness, tangential force, and flank wear.

Research on the Surface Roughness of Dry Cutting Different Levels of Austempering Ductile Iron (ADI)

2011 ◽  
Vol 464 ◽  
pp. 496-500
Author(s):  
Xiao Hong Xue ◽  
Xu Hong Guo ◽  
Ting Ting Chen ◽  
Dong Dong Wan ◽  
Qiao Wang
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Cubic Boron Nitride ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Isothermal Quenching ◽  
Dry Cutting ◽  
Quenching Temperature

Three cutting tools of different materials (ceramics CC6050, cubic boron nitride CB7025, carbide GC2025) are used for dry turning of 9 groups of ADI which heat-treated under different quenching time and quenching temperature. The surface roughness of ADI workpieces were tested after the finish turning at changed cutting parameters, and the influencing factors of surface quality were analysed. Results showed that the surface roughness values of all 9 groups of ADI workpieces obtained by CC6050 were the lowest and the surface quality was better at lower depth of cut ap and feed rate f with higher cutting speed vc . Meanwhile, the surface roughness was influenced by the isothermal quenching parameters of ADI workpieces significantly.

Improvement of Surface Roughness in End Milling of Ti6Al4V by Coupling RSM with Genetic Algorithm

2011 ◽  
Vol 264-265 ◽  
pp. 1154-1159
Author(s):  
Anayet Ullah Patwari ◽  
A.K.M. Nurul Amin ◽  
S. Alam
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
Titanium Alloys ◽  
End Milling ◽  
Fitness Function ◽  
Cutting Speed ◽  
Weight Ratio ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Resistance Surface

Titanium alloys are being widely used in the aerospace, biomedical and automotive industries because of their good strength-to-weight ratio and superior corrosion resistance. Surface roughness is one of the most important requirements in machining of Titanium alloys. This paper describes mathematically the effect of cutting parameters on Surface roughness in end milling of Ti6Al4V. The mathematical model for the surface roughness has been developed in terms of cutting speed, feed rate, and axial depth of cut using design of experiments and the response surface methodology (RSM). Central composite design was employed in developing the surface roughness models in relation to primary cutting parameters. The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The developed RSM is coupled as a fitness function with genetic algorithm to predict the optimum cutting conditions leading to the least surface roughness value. MATLAB 7.0 toolbox for GA is used to develop GA program. The predicted results are in good agreement with the experimental one and hence the model can be efficiently used to achieve the minimum surface roughness value.

Investigations on the Effect of CNC Dry Hard Turning Process Parameters on Surface Integrity: A Multi-performance Characteristics Optimization

2014 ◽  
Vol 14 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Suha K. Shihab ◽  
Zahid A. Khan ◽  
Aas Mohammad ◽  
Arshad Noor Siddiquee
Keyword(s):  
Surface Roughness ◽  
Surface Integrity ◽  
Feed Rate ◽  
Hard Turning ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Influential Factor ◽  
Depth Of Cut ◽  
Micro Hardness ◽  
Dry Cutting

AbstractThe cutting parameters such as the cutting speed, the feed rate, the depth of cut, etc. are expected to affect the two constituents of surface integrity (SI), i.e., surface roughness and micro-hardness. An attempt has been made in this paper to investigate the effect of the CNC hard turning parameters on the surface roughness average (Ra) and the micro-hardness (μh) of AISI 52100 hard steel under dry cutting conditions. Nine experimental runs based on an orthogonal array of the Taguchi method were performed and grey relational analysis method was subsequently applied to determine an optimal cutting parameter setting. The feed rate was found to be the most influential factor for both the Ra and the μh. Further, the results of the analysis of variance (ANOVA) revealed that the cutting speed is the most significant controlled factor for affecting the SI in the turning operation according to the weighted sum grade of the surface roughness average and micro-hardness.

Study on Spindle Vibration and Surface Finish in Turning of Al 7075

2017 ◽  
Vol 261 ◽  
pp. 321-327 ◽  
Author(s):  
Abidin Şahinoğlu ◽  
Şener Karabulut ◽  
Abdulkadir Güllü
Keyword(s):  
Surface Roughness ◽  
Experimental Studies ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Dry Cutting ◽  
Al 7075 ◽  
Spindle Vibration ◽  
Coated Cemented Carbide

In this study, the relationship between the spindle vibration and surface roughness was investigated and the effect of the cutting parameters on surface roughness and spindle vibration during the machining of Aluminum alloy 7075 (Al 7075) were determined. Experimental studies have been carried out on a CNC turning machine using coated cemented carbide cutting tools under dry cutting environment. L64 full factorial design of experiments was used to investigate the optimal machining parameters for spindle vibration and surface roughness. The influences of machining parameters on vibration and surface roughness were evaluated by using analysis of variance (ANOVA) and main effect plots. The results revealed that the feed rate was the most effective cutting parameters on spindle vibration and surface roughness. The machine tool vibration amplitude and surface roughness values were significantly increased with increasing cutting feed. The depth of cut and cutting speed have the least effect on the spindle vibration and indicated an insignificant effect on surface roughness. Mathematical equations were developed to predict the vibration and surface roughness values using the regression analysis.

scholarly journals Influence of Cutting Parameters on Surface Roughness for Wet and Dry Turning Process

2011 ◽  
Vol 471-472 ◽  
pp. 233-238 ◽  
Author(s):  
Muhammad Yusuf ◽  
Khairol Anuar ◽  
Napsiah Binti Ismail ◽  
Shamsuddin Sulaiman
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Fractional Factorial ◽  
Cutting Process ◽  
Depth Of Cut ◽  
Turning Process ◽  
Dry Cutting ◽  
Dry Turning ◽  
Coated Carbide

This paper presents a study of the quality of a surface roughness model for mild steel with coated carbide cutting tool on turning process. The experiments were carried out under wet and dry cutting conditions. The model is developed based on cutting speed, feed and depth of cut as the parameters of cutting process. This research applies the fractional factorial design of experiment approach to studied the influence of cutting parameters on surface roughness. The measured results were collected and analyzed using commercial software package called Minitab. Analysis of variances is used to examine the influence of turning factors and factor interactions on surface roughness. The result indicated that, there are inherent differences in surface roughness between wet and dry cutting process with the same parameters process model. Analysis of variance was found that feed parameter is the most significant cutting parameter, which influences the surface roughness. The most significant interactions were found between cutting speed and feed parameters for dry turning process. Therefore is a significant effect of using combination of the fluid for cooling the cutting operation.

scholarly journals Optimization of Cutting Parameters on Turning Process Based on Surface Roughness Using Response Surface Methodology

2011 ◽  
Vol 117-119 ◽  
pp. 1561-1565
Author(s):  
Muhammad Yusuf ◽  
Mohd Khairol Anuar Ariffin ◽  
N. Ismail ◽  
S. Sulaiman
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Cutting Process ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Dry Cutting ◽  
Optimization Of Cutting Parameters

This paper describes effect of cutting parameters on surface roughness for turning of aluminium alloy 7050 using carbide cutting tool with dry cutting condition. The model is developed based on cutting speed, feed rate and depth of cut as the parameters of cutting process. The selection of cutting process was based on the design of experiments Response Surface Methodology (RSM). The objective of this research is finding the optimum cutting parameters based on surface roughness. The relation between cutting parameters and surface roughness were discussed.

Evaluation of the Performance of CBN Tools When Turning Austempered Ductile Iron Material

2008 ◽  
Vol 130 (5) ◽  
Author(s):  
K. Aslantas ◽  
İ. Ucun ◽  
K. Gök
Keyword(s):  
Surface Roughness ◽  
Ductile Iron ◽  
Cubic Boron Nitride ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Salt Bath ◽  
Austempered Ductile Iron ◽  
Depth Of Cut ◽  
Tool Performance ◽  
Austempering Temperature

The study deals with the machinability properties of austempered ductile iron using cubic boron nitride cutting tools. To emphasize the role of the austempering process, ductile iron specimens were first austenitized in salt bath at 900°C for 60min, after which they were quenched in a salt bath at 250°C and 325°C for 60min. Machining tests were carried out at various cutting speeds under the constant depth of cut and the feed rate. Tool performance was evaluated based on the workpiece surface roughness and flank wear. The influence of the austempering temperature and cutting speed on the chip form was also studied. The results point out that the lower austempering temperature results in the increase in the cutting forces, while better surface roughness is attained.

Optimization of Surface Roughness in Turning Operation Using Firefly Algorithm

2015 ◽  
Vol 815 ◽  
pp. 268-272 ◽  
Author(s):  
Nur Farahlina Johari ◽  
Azlan Mohd Zain ◽  
Noorfa Haszlinna Mustaffa ◽  
Amirmudin Udin
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Firefly Algorithm ◽  
Volume Fraction ◽  
Optimization Problems ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Machining Time

Recently, Firefly Algorithm (FA) has become an important technique to solve optimization problems. Various FA variants have been developed to suit various applications. In this paper, FA is used to optimize machining parameters such as % Volume fraction of SiC (V), cutting speed (S), feed rate (F), depth of cut (D) and machining time (T). The optimal machining cutting parameters estimated by FA that lead to a minimum surface roughness are validated using ANOVA test.

Experimental Investigation of Surface Roughness Using Uncoated and Coated Tungsten Carbide Cutting Tool in Turning Operation

2021 ◽  
Vol 39 (5A) ◽  
pp. 768-778
Author(s):  
Frzdaq N. Thamer ◽  
Ali A Khleif ◽  
Farhad M. Othman
Keyword(s):  
Surface Roughness ◽  
Tungsten Carbide ◽  
Feed Rate ◽  
Cutting Tool ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Substantial Effect ◽  
Cutting Process ◽  
Dry Cutting ◽  
The Impact

 The cutting process is an important process of industrialization. It is requisite to using advantage quality cutting tools in order to preserve the type of product. Coating on the cutting tool has a substantial effect in terms of mechanical properties and the end results of the product. The cutting tool can be manufactured in various material types, but today's cemented tungsten carbide is the most commonly used material in the tool industry because its properties comply with manufacturers' requirements. This study investigates the impact of an Al2O3 coated cutting tool relative to an uncoated cutting tool on the dry cutting process. Different parameters are used in the cutting process when cutting the metal. The cutting parameters used are feed rate and cutting speed, An analysis of the effects of these parameters on the surface roughness. In this analysis, the surface roughness are measured for components turned from steel1040, The L9 Taguchi orthogonal arrays and analyses of variance (ANOVA) was employed to analyze the influence of these parameters. In the case of (uncoated, Al2O3 coated tool), the better surface roughness (SR) with used feed rate (0.05 mm / rev) and cutting speed (140 m/min) where the roughness value was (0.81μm) and (0.78μm) Respectively. The results of this study indicate that the ideal parameters combination for the better surface finish was high cutting speed and low feed rate.

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