A Modeling Study on Surface Roughness of Spinneret Mold Sections Machined By WEDM

Erdoğan KANCA; Volkan Cem TAŞKIN; Ali GÜNEN

doi:https://doi.org/10.16984/saufenbilder.428457

Article Details

A Modeling Study on Surface Roughness of Spinneret Mold Sections Machined By WEDM

Authors:

Erdoğan KANCA | Volkan Cem TAŞKIN | Ali GÜNEN

Main Topics:

Other branches of engineering

Journal:

Sakarya University Journal of Science 2019 Vol.23 Issue 1, pp.85-93

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2000557352

DOI:

https://doi.org/10.16984/saufenbilder.428457

Abstract:

 


 The wire electrical discharge machining
(WEDM) is widely used in the cutting of Bulk Continuous Filament (BCF)
spinneret molds. Because of the low surface roughness of the spinneret molds
obtained by the WEDM method, it ensures that the polypropylene material has a
steady flow, volume and cross-sectional shape. Since the yarn extruded from the
sections on the BCF acquire a number of physical and visual properties surface
roughness of these molds have a great of importance. In this context, a new
model was developed to predict the surface quality of spinneret mold sections
machined using WEDM by Analysis of variance. Machining parameters such as
voltage, current, pulse time and wire feed rate were used as independent input
variables and surface roughness was used as dependent output parameters.  Contribution of input variables into the
output variable determined by means of analysis of variance (ANOVA). Developed
mathematical model estimations have been found to be in good agreement with the
measured ones. The parameters with the most effect on surface roughness are
listed as voltage, current, pulse, and feed, respectively.


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Article Details

A Modeling Study on Surface Roughness of Spinneret Mold Sections Machined By WEDM

Authors: Erdoğan KANCA | Volkan Cem TAŞKIN | Ali GÜNEN

Main Topics: Other branches of engineering

Journal: Sakarya University Journal of Science 2019 Vol.23 Issue 1, pp.85-93

Document Type: Article

Publication Date: 1/2019

Document Language: English

Document ID (Org No.): 2000557352

DOI: https://doi.org/10.16984/saufenbilder.428457

Issues

Authors:

Erdoğan KANCA | Volkan Cem TAŞKIN | Ali GÜNEN

Main Topics:

Other branches of engineering

Journal:

Sakarya University Journal of Science 2019 Vol.23 Issue 1, pp.85-93

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2000557352

DOI:

https://doi.org/10.16984/saufenbilder.428457