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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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이 논문의 연구 히스토리 (3)
2014
Application of Response Surface Methodology for Modeling and Optimization of Surface Roughness and Electric Current Consumption in Turning Operation
Cha
,
les S. C Punuhsingon
,
Soo-Cheol Oh
한국기계가공학회지
2014.08
학술저널
Application of RSM for Modeling, Analysis and Prediction of Surface Roughness and Electric Current Consumption in Turning Operation
Cha
,
les S. C Punuhsingon
,
Soo-Cheol Oh
한국경영과학회 학술대회논문집
2014.05
학술대회자료
Application of RSM for Modeling, Analysis and Prediction of Surface Roughness and Electric Current Consumption in Turning Operation
Cha
,
les S. C Punuhsingon
,
Soo-Cheol Oh
대한산업공학회 춘계공동학술대회 논문집
2014.05
학술대회자료
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초록· 키워드
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This paper presents an experiment on the modeling, analysis, prediction and optimization of machining parameters used during the turning process of the low-carbon steel known as ST40. The parameters used to develop the model are the cutting speed, the feed rate, and the depth of the cut. The experiments were carried out under various conditions, with three level of parameters and two different treatments for each level (with and without a lubricant), to determine the effects of the parameters on the surface roughness and electric current consumption. These effects were investigated using response surface methodology (RSM). A second-order model is used to predict the values of the surface roughness and the electric current consumption from the results of experiments which collected preliminary data. The results of the experiment and the predictions of the surface roughness and electric current consumption under both treatments were found to be nearly identical. This result shows that the feed rate is the main factor that influences the surface roughness and electric current consumption.
목차
ABSTRACT
1. Introduction
2. Experimental details
3. Modeling of the machining parameters using the response surface methodology
4. Results and discussion
5. Conclusion
References
참고문헌 (16)
참고문헌 신청
1. [학술지(정기간행물)] - Ahilan / 2013 / Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools / Applied Soft Computing 13 : 1543 ~ 1551
2. [학술지(정기간행물)] - Benardos, P. G. / 2003 / Predicting surface roughness in machining : a review / International Journal of Machine Tools & Manufacture 43 : 833 ~ 844
3. [학술지(정기간행물)] - Bhattacharya / 2009 / Estimating the effect of cutting parameters on surface finish and power consumption during high speed machining of AISI 1045 steel using Taguchi design and ANOVA / Prod. Eng. Res. Devel 3 : 31 ~ 40
4. [학술지(정기간행물)] - Davim / 2008 / Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models / Journal of materials processing technology 205 : 16 ~ 23
5. [학술지(정기간행물)] - Ezilarasan / 2013 / An experimental analysis and measurement of process performances in machining of nimonic C-263 super alloy / Measurement 46 : 185 ~ 199
2. [학술지(정기간행물)] - Benardos, P. G. / 2003 / Predicting surface roughness in machining : a review / International Journal of Machine Tools & Manufacture 43 : 833 ~ 844
3. [학술지(정기간행물)] - Bhattacharya / 2009 / Estimating the effect of cutting parameters on surface finish and power consumption during high speed machining of AISI 1045 steel using Taguchi design and ANOVA / Prod. Eng. Res. Devel 3 : 31 ~ 40
4. [학술지(정기간행물)] - Davim / 2008 / Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models / Journal of materials processing technology 205 : 16 ~ 23
5. [학술지(정기간행물)] - Ezilarasan / 2013 / An experimental analysis and measurement of process performances in machining of nimonic C-263 super alloy / Measurement 46 : 185 ~ 199
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UCI(KEPA) : I410-ECN-0101-2015-580-002536016