Assessment of induced delamination during end-milling of natural fiber reinforced composites

A statistical analysis

Khalid Alzebdeh, Mahmoud M.A. Nassar, Nasr Al-Hinai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The use of natural fiber reinforced composites has emerged as an advantageous option in many industrial applications. Generally, composites are manufactured in net or near-net shape, but under specific design specifications, secondary manufacturing processes such as drilling, milling and turning become a requirement. In this context, current paper presents an experimental study that investigates the machinability of newly developed natural fiber composites under conventional end-milling. Two types of bio-composites; date palm fronds reinforced polypropylene (DPF/PP) and pine needles reinforced polypropylene composite (PN/PP) were developed and physically tested in order to optimize their mechanical strength. Then, machinability of such class of bio-composites is statistically analyzed using Design of Experiment method. Statistical modeling including response surface plots are utilized to analyze the combined effect of input processing parameters (feed rate, axial depth, spindle speed) on the induced delamination during end-milling. It is shown that feed rate is the most dominant factors in DPF/PP milling, and axial depth of cut is the most significant factor on PN/PP milling. Results are also compared with those of milled neat polypropylene, which confirm that delamination of machined bio-composites can be improved over the neat polypropylene matrix. This qualifies the developed bio-composites to be used in industrial applications in which machining is required.

Original languageEnglish
Title of host publicationMaterials
Subtitle of host publicationGenetics to Structures
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume12
ISBN (Electronic)9780791852170
DOIs
Publication statusPublished - Jan 1 2018
EventASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 - Pittsburgh, United States
Duration: Nov 9 2018Nov 15 2018

Other

OtherASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018
CountryUnited States
CityPittsburgh
Period11/9/1811/15/18

Fingerprint

Natural fibers
Delamination
Statistical methods
Composite materials
Polypropylenes
Machinability
Industrial applications
Milling (machining)
Needles
Design of experiments
Strength of materials
Drilling
Machining
Specifications
Processing

Keywords

  • Bio-composites
  • Date Palm Fronds
  • Delamination
  • DoE
  • End-Milling
  • Pine Needles

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

Alzebdeh, K., Nassar, M. M. A., & Al-Hinai, N. (2018). Assessment of induced delamination during end-milling of natural fiber reinforced composites: A statistical analysis. In Materials: Genetics to Structures (Vol. 12). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2018-86978

Assessment of induced delamination during end-milling of natural fiber reinforced composites : A statistical analysis. / Alzebdeh, Khalid; Nassar, Mahmoud M.A.; Al-Hinai, Nasr.

Materials: Genetics to Structures. Vol. 12 American Society of Mechanical Engineers (ASME), 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alzebdeh, K, Nassar, MMA & Al-Hinai, N 2018, Assessment of induced delamination during end-milling of natural fiber reinforced composites: A statistical analysis. in Materials: Genetics to Structures. vol. 12, American Society of Mechanical Engineers (ASME), ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018, Pittsburgh, United States, 11/9/18. https://doi.org/10.1115/IMECE2018-86978
Alzebdeh, Khalid ; Nassar, Mahmoud M.A. ; Al-Hinai, Nasr. / Assessment of induced delamination during end-milling of natural fiber reinforced composites : A statistical analysis. Materials: Genetics to Structures. Vol. 12 American Society of Mechanical Engineers (ASME), 2018.
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