PEREC, Andrzej ;PUDE, Frank ;KAUFELD, Michael ;WEGENER, Konrad . Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 63, n.10, p. 606-613, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/obtaining-the-selected-surface-roughness-by-means-of-mathematical-model-based-parameter-optimization-in-abrasive-waterjet-cutting/>. Date accessed: 19 nov. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2017.4463.
Perec, A., Pude, F., Kaufeld, M., & Wegener, K. (2017). Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting. Strojniški vestnik - Journal of Mechanical Engineering, 63(10), 606-613. doi:http://dx.doi.org/10.5545/sv-jme.2017.4463
@article{sv-jmesv-jme.2017.4463,
author = {Andrzej Perec and Frank Pude and Michael Kaufeld and Konrad Wegener},
title = {Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {63},
number = {10},
year = {2017},
keywords = {abrasive water jet, design of experiment, optimization, cutting, prediction},
abstract = {The study on the effect of abrasive water jet machining process parameters on micro alloyed steel surface roughness was described. Taguchi method to predict machining parameters of due to minimum surface roughness was used. The influence of pressure, abrasive flow rate and traverse speed on the Rz and Rmax roughness parameters were presented. The optimum combination of processing parameters was established. Verified parameters were tested and the achieved results were compared to predicted values. This method allows limiting the amount of research needed to achieve the desired test results, thereby reducing the time as well as the cost required to carry them out. The Taguchi signal/noise (S/N) ratio enables the assessment of the relevance of the impact of various parameters on the process, which is still not well enough understood.},
issn = {0039-2480}, pages = {606-613}, doi = {10.5545/sv-jme.2017.4463},
url = {https://www.sv-jme.eu/sl/article/obtaining-the-selected-surface-roughness-by-means-of-mathematical-model-based-parameter-optimization-in-abrasive-waterjet-cutting/}
}
Perec, A.,Pude, F.,Kaufeld, M.,Wegener, K. 2017 June 63. Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 63:10
%A Perec, Andrzej %A Pude, Frank %A Kaufeld, Michael %A Wegener, Konrad %D 2017 %T Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting %B 2017 %9 abrasive water jet, design of experiment, optimization, cutting, prediction %! Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting %K abrasive water jet, design of experiment, optimization, cutting, prediction %X The study on the effect of abrasive water jet machining process parameters on micro alloyed steel surface roughness was described. Taguchi method to predict machining parameters of due to minimum surface roughness was used. The influence of pressure, abrasive flow rate and traverse speed on the Rz and Rmax roughness parameters were presented. The optimum combination of processing parameters was established. Verified parameters were tested and the achieved results were compared to predicted values. This method allows limiting the amount of research needed to achieve the desired test results, thereby reducing the time as well as the cost required to carry them out. The Taguchi signal/noise (S/N) ratio enables the assessment of the relevance of the impact of various parameters on the process, which is still not well enough understood. %U https://www.sv-jme.eu/sl/article/obtaining-the-selected-surface-roughness-by-means-of-mathematical-model-based-parameter-optimization-in-abrasive-waterjet-cutting/ %0 Journal Article %R 10.5545/sv-jme.2017.4463 %& 606 %P 8 %J Strojniški vestnik - Journal of Mechanical Engineering %V 63 %N 10 %@ 0039-2480 %8 2018-06-27 %7 2018-06-27
Perec, Andrzej, Frank Pude, Michael Kaufeld, & Konrad Wegener. "Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting." Strojniški vestnik - Journal of Mechanical Engineering [Online], 63.10 (2017): 606-613. Web. 19 Nov. 2024
TY - JOUR AU - Perec, Andrzej AU - Pude, Frank AU - Kaufeld, Michael AU - Wegener, Konrad PY - 2017 TI - Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2017.4463 KW - abrasive water jet, design of experiment, optimization, cutting, prediction N2 - The study on the effect of abrasive water jet machining process parameters on micro alloyed steel surface roughness was described. Taguchi method to predict machining parameters of due to minimum surface roughness was used. The influence of pressure, abrasive flow rate and traverse speed on the Rz and Rmax roughness parameters were presented. The optimum combination of processing parameters was established. Verified parameters were tested and the achieved results were compared to predicted values. This method allows limiting the amount of research needed to achieve the desired test results, thereby reducing the time as well as the cost required to carry them out. The Taguchi signal/noise (S/N) ratio enables the assessment of the relevance of the impact of various parameters on the process, which is still not well enough understood. UR - https://www.sv-jme.eu/sl/article/obtaining-the-selected-surface-roughness-by-means-of-mathematical-model-based-parameter-optimization-in-abrasive-waterjet-cutting/
@article{{sv-jme}{sv-jme.2017.4463},
author = {Perec, A., Pude, F., Kaufeld, M., Wegener, K.},
title = {Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {63},
number = {10},
year = {2017},
doi = {10.5545/sv-jme.2017.4463},
url = {https://www.sv-jme.eu/sl/article/obtaining-the-selected-surface-roughness-by-means-of-mathematical-model-based-parameter-optimization-in-abrasive-waterjet-cutting/}
}
TY - JOUR AU - Perec, Andrzej AU - Pude, Frank AU - Kaufeld, Michael AU - Wegener, Konrad PY - 2018/06/27 TI - Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 63, No 10 (2017): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2017.4463 KW - abrasive water jet, design of experiment, optimization, cutting, prediction N2 - The study on the effect of abrasive water jet machining process parameters on micro alloyed steel surface roughness was described. Taguchi method to predict machining parameters of due to minimum surface roughness was used. The influence of pressure, abrasive flow rate and traverse speed on the Rz and Rmax roughness parameters were presented. The optimum combination of processing parameters was established. Verified parameters were tested and the achieved results were compared to predicted values. This method allows limiting the amount of research needed to achieve the desired test results, thereby reducing the time as well as the cost required to carry them out. The Taguchi signal/noise (S/N) ratio enables the assessment of the relevance of the impact of various parameters on the process, which is still not well enough understood. UR - https://www.sv-jme.eu/sl/article/obtaining-the-selected-surface-roughness-by-means-of-mathematical-model-based-parameter-optimization-in-abrasive-waterjet-cutting/
Perec, Andrzej, Pude, Frank, Kaufeld, Michael, AND Wegener, Konrad. "Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 63 Number 10 (27 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 63(2017)10, 606-613
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
The study on the effect of abrasive water jet machining process parameters on micro alloyed steel surface roughness was described. Taguchi method to predict machining parameters of due to minimum surface roughness was used. The influence of pressure, abrasive flow rate and traverse speed on the Rz and Rmax roughness parameters were presented. The optimum combination of processing parameters was established. Verified parameters were tested and the achieved results were compared to predicted values. This method allows limiting the amount of research needed to achieve the desired test results, thereby reducing the time as well as the cost required to carry them out. The Taguchi signal/noise (S/N) ratio enables the assessment of the relevance of the impact of various parameters on the process, which is still not well enough understood.