Obtaining the Selected Surface Roughness by Means of Mathematical Model Based Parameter Optimization in Abrasive Waterjet Cutting

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Izvoz citacije: ABNT
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: 29 sep. 2021. 
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.  29 Sep. 2021
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)

Avtorji

Inštitucije

  • ETH Zürich, Inspire AG, Switzerland, and Jacob of Paradies University, Department of Technology, Poland 1
  • ETH Zürich, Inspire AG, Switzerland 2
  • University of Applied Sciences Ulm, Institute of Production Engineering and Materials Testing, Germany 3
  • ETH Zürich, Inspire AG and Institute of Machine Tools and Manufacturing, Switzerland 4

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 63(2017)10, 606-613

https://doi.org/10.5545/sv-jme.2017.4463

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.

abrasive water jet, design of experiment, optimization, cutting, prediction