Investigation of Surface Roughness by using the Vibration Assisted Milling Process of Glass Fiber Reinforced Polymer

α
Hibal Ahmada
Hibal Ahmada
σ
Jebreel Muhammadb
Jebreel Muhammadb
ρ
Muhammad Hamzab
Muhammad Hamzab
Ѡ
Mustafa Kamalb
Mustafa Kamalb
¥
Annayet Ullah Patwarib
Annayet Ullah Patwarib
α Changwon National University

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Investigation of Surface Roughness by using the Vibration Assisted Milling Process of Glass Fiber Reinforced Polymer

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Abstract

This project has presented an approach to reducing surface roughness of milled work pieces of glass fiber reinforced polymer via excitation of the first axial mode of the vibration milling device. A combined application of numerical and experimental analysis has confirmed the validity of the proposed approach. Milling experiments demonstrated that excitation of the axial mode in the vibration milling tool leads to an appreciable reduction in the surface roughness of mild steel and glass fiber work pieces. We proposed a new technique to measure the surface roughness of material with vibration assisted milling process. For this process the main material used was glass fiber re enforced polymer but also the additional material were used like mild steel. Controlling vibration phenomena in production is one of the approaches for improving their efficiency.

References

7 Cites in Article
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  2. A Latif,M Ibrahim,A Amran,E Rahim (2017). A study on the effect of feed rate and cutting speed on surface roughness and material removal rate of mild steel.
  3. A A Latif,M R Ibrahim,A Z Amran,E A Rahim (2017). A study on the effect of feed rate and cutting speed on surface roughness and material removal rate of mild steel.
  4. (2011). Effect of low-frequency vibration on workpiece in EDM processes" † GunawanSetia Prihandana1, Muslim Mahardika1, M. Hamdi2,3 and Kimiyuki Mitsui4.
  5. Harish Kumar,Vikas Yadav ; Brehl,D Dow (2008). Corrosion Characteristics of Mild Steel under Different Atmospheric Conditions by Vapour Phase Corrosion Inhibitors.
  6. Kanhucharan Nayak,Rajesh Kumar Tripathy,Rani Sudha,Shiba Panda,P Narayan Sahoo ; Twardowski,S Wojciechowski,M Wieczorowski,T Mathia (2011). Prediction of Cutting and Feed Forces for Conventional Milling Process Using Adaptive Neuro Fuzzy Inference System (ANFIS).
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Hibal Ahmada. 2018. \u201cInvestigation of Surface Roughness by using the Vibration Assisted Milling Process of Glass Fiber Reinforced Polymer\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 18 (GJRE Volume 18 Issue J1): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-J Classification: FOR Code: 091599
Version of record

v1.2

Issue date

February 26, 2018

Language
en
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This project has presented an approach to reducing surface roughness of milled work pieces of glass fiber reinforced polymer via excitation of the first axial mode of the vibration milling device. A combined application of numerical and experimental analysis has confirmed the validity of the proposed approach. Milling experiments demonstrated that excitation of the axial mode in the vibration milling tool leads to an appreciable reduction in the surface roughness of mild steel and glass fiber work pieces. We proposed a new technique to measure the surface roughness of material with vibration assisted milling process. For this process the main material used was glass fiber re enforced polymer but also the additional material were used like mild steel. Controlling vibration phenomena in production is one of the approaches for improving their efficiency.

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Investigation of Surface Roughness by using the Vibration Assisted Milling Process of Glass Fiber Reinforced Polymer

Hibal Ahmada
Hibal Ahmada Changwon National University
Jebreel Muhammadb
Jebreel Muhammadb
Muhammad Hamzab
Muhammad Hamzab
Mustafa Kamalb
Mustafa Kamalb
Annayet Ullah Patwarib
Annayet Ullah Patwarib

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