Influence of Non-Productive Operations on Product Quality

1529 Ogledov
1224 Prenosov
Izvoz citacije: ABNT
ENIKO, Peter ;SOKOVIĆ, Mirko ;KRAMAR, Davorin .
Influence of Non-Productive Operations on Product Quality. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 62, n.3, p. 197-204, june 2018. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/influence-of-non-productive-operations-on-product-quality/>. Date accessed: 28 may. 2022. 
doi:http://dx.doi.org/10.5545/sv-jme.2015.3109.
Eniko, P., Soković, M., & Kramar, D.
(2016).
Influence of Non-Productive Operations on Product Quality.
Strojniški vestnik - Journal of Mechanical Engineering, 62(3), 197-204.
doi:http://dx.doi.org/10.5545/sv-jme.2015.3109
@article{sv-jmesv-jme.2015.3109,
	author = {Peter  Eniko and Mirko  Soković and Davorin  Kramar},
	title = {Influence of Non-Productive Operations on Product Quality},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {62},
	number = {3},
	year = {2016},
	keywords = {DOE; cylindricity; surface roughness; washing; degreasing},
	abstract = {This paper addresses the study of piston bore machining. Within the framework of an experimental investigation single and combined effects and related reproducibility of such parameters on bore geometry and surface finish were investigated. Experiment planning and process modelling were performed by design of experiments (DOE) methodology. The experimental part was carried out in a regular production which is affected by non-productive operations that influence product quality. Based on the reaming process state of the art review and previous industrial experiences feed rate and spindle speed were identified as key productive operation factors in achieving bore cylindricity and surface roughness. Non-productive operations, such as clamping, washing and degreasing of the workpiece that negatively impacted results, were identified during experimental work with scanning electron microscope (SEM) analysis and pattern recognition in statistical process control (SPC) control chart. Negative impacts of non-productive operations were minimized with corrective actions. Regression analyses give models for both responses under consideration, namely bore cylindricity and surface roughness, and are at adequate confidence level. Experiments conducting, analysis and corrective actions are included in optimization strategy model which is schematically shown and interpreted in discussion.},
	issn = {0039-2480},	pages = {197-204},	doi = {10.5545/sv-jme.2015.3109},
	url = {https://www.sv-jme.eu/sl/article/influence-of-non-productive-operations-on-product-quality/}
}
Eniko, P.,Soković, M.,Kramar, D.
2016 June 62. Influence of Non-Productive Operations on Product Quality. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 62:3
%A Eniko, Peter 
%A Soković, Mirko 
%A Kramar, Davorin 
%D 2016
%T Influence of Non-Productive Operations on Product Quality
%B 2016
%9 DOE; cylindricity; surface roughness; washing; degreasing
%! Influence of Non-Productive Operations on Product Quality
%K DOE; cylindricity; surface roughness; washing; degreasing
%X This paper addresses the study of piston bore machining. Within the framework of an experimental investigation single and combined effects and related reproducibility of such parameters on bore geometry and surface finish were investigated. Experiment planning and process modelling were performed by design of experiments (DOE) methodology. The experimental part was carried out in a regular production which is affected by non-productive operations that influence product quality. Based on the reaming process state of the art review and previous industrial experiences feed rate and spindle speed were identified as key productive operation factors in achieving bore cylindricity and surface roughness. Non-productive operations, such as clamping, washing and degreasing of the workpiece that negatively impacted results, were identified during experimental work with scanning electron microscope (SEM) analysis and pattern recognition in statistical process control (SPC) control chart. Negative impacts of non-productive operations were minimized with corrective actions. Regression analyses give models for both responses under consideration, namely bore cylindricity and surface roughness, and are at adequate confidence level. Experiments conducting, analysis and corrective actions are included in optimization strategy model which is schematically shown and interpreted in discussion.
%U https://www.sv-jme.eu/sl/article/influence-of-non-productive-operations-on-product-quality/
%0 Journal Article
%R 10.5545/sv-jme.2015.3109
%& 197
%P 8
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 62
%N 3
%@ 0039-2480
%8 2018-06-27
%7 2018-06-27
Eniko, Peter, Mirko  Soković, & Davorin  Kramar.
"Influence of Non-Productive Operations on Product Quality." Strojniški vestnik - Journal of Mechanical Engineering [Online], 62.3 (2016): 197-204. Web.  28 May. 2022
TY  - JOUR
AU  - Eniko, Peter 
AU  - Soković, Mirko 
AU  - Kramar, Davorin 
PY  - 2016
TI  - Influence of Non-Productive Operations on Product Quality
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2015.3109
KW  - DOE; cylindricity; surface roughness; washing; degreasing
N2  - This paper addresses the study of piston bore machining. Within the framework of an experimental investigation single and combined effects and related reproducibility of such parameters on bore geometry and surface finish were investigated. Experiment planning and process modelling were performed by design of experiments (DOE) methodology. The experimental part was carried out in a regular production which is affected by non-productive operations that influence product quality. Based on the reaming process state of the art review and previous industrial experiences feed rate and spindle speed were identified as key productive operation factors in achieving bore cylindricity and surface roughness. Non-productive operations, such as clamping, washing and degreasing of the workpiece that negatively impacted results, were identified during experimental work with scanning electron microscope (SEM) analysis and pattern recognition in statistical process control (SPC) control chart. Negative impacts of non-productive operations were minimized with corrective actions. Regression analyses give models for both responses under consideration, namely bore cylindricity and surface roughness, and are at adequate confidence level. Experiments conducting, analysis and corrective actions are included in optimization strategy model which is schematically shown and interpreted in discussion.
UR  - https://www.sv-jme.eu/sl/article/influence-of-non-productive-operations-on-product-quality/
@article{{sv-jme}{sv-jme.2015.3109},
	author = {Eniko, P., Soković, M., Kramar, D.},
	title = {Influence of Non-Productive Operations on Product Quality},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {62},
	number = {3},
	year = {2016},
	doi = {10.5545/sv-jme.2015.3109},
	url = {https://www.sv-jme.eu/sl/article/influence-of-non-productive-operations-on-product-quality/}
}
TY  - JOUR
AU  - Eniko, Peter 
AU  - Soković, Mirko 
AU  - Kramar, Davorin 
PY  - 2018/06/27
TI  - Influence of Non-Productive Operations on Product Quality
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 62, No 3 (2016): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2015.3109
KW  - DOE, cylindricity, surface roughness, washing, degreasing
N2  - This paper addresses the study of piston bore machining. Within the framework of an experimental investigation single and combined effects and related reproducibility of such parameters on bore geometry and surface finish were investigated. Experiment planning and process modelling were performed by design of experiments (DOE) methodology. The experimental part was carried out in a regular production which is affected by non-productive operations that influence product quality. Based on the reaming process state of the art review and previous industrial experiences feed rate and spindle speed were identified as key productive operation factors in achieving bore cylindricity and surface roughness. Non-productive operations, such as clamping, washing and degreasing of the workpiece that negatively impacted results, were identified during experimental work with scanning electron microscope (SEM) analysis and pattern recognition in statistical process control (SPC) control chart. Negative impacts of non-productive operations were minimized with corrective actions. Regression analyses give models for both responses under consideration, namely bore cylindricity and surface roughness, and are at adequate confidence level. Experiments conducting, analysis and corrective actions are included in optimization strategy model which is schematically shown and interpreted in discussion.
UR  - https://www.sv-jme.eu/sl/article/influence-of-non-productive-operations-on-product-quality/
Eniko, Peter, Soković, Mirko, AND Kramar, Davorin.
"Influence of Non-Productive Operations on Product Quality" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 62 Number 3 (27 June 2018)

Avtorji

Inštitucije

  • Difa d.o.o., Slovenia 1
  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia 2

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 62(2016)3, 197-204
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.

https://doi.org/10.5545/sv-jme.2015.3109

This paper addresses the study of piston bore machining. Within the framework of an experimental investigation single and combined effects and related reproducibility of such parameters on bore geometry and surface finish were investigated. Experiment planning and process modelling were performed by design of experiments (DOE) methodology. The experimental part was carried out in a regular production which is affected by non-productive operations that influence product quality. Based on the reaming process state of the art review and previous industrial experiences feed rate and spindle speed were identified as key productive operation factors in achieving bore cylindricity and surface roughness. Non-productive operations, such as clamping, washing and degreasing of the workpiece that negatively impacted results, were identified during experimental work with scanning electron microscope (SEM) analysis and pattern recognition in statistical process control (SPC) control chart. Negative impacts of non-productive operations were minimized with corrective actions. Regression analyses give models for both responses under consideration, namely bore cylindricity and surface roughness, and are at adequate confidence level. Experiments conducting, analysis and corrective actions are included in optimization strategy model which is schematically shown and interpreted in discussion.

DOE; cylindricity; surface roughness; washing; degreasing