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: 20 dec. 2024. 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. 20 Dec. 2024
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)
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.
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.