An optical method for measuring surface roughness of machined carbon fibre-reinforced plastic composites

Duboust, Nicolas; Ghadbeigi, Hassan; Pinna, C.; Ayvar-Soberanis, Sabino; Collis, Andrew; Scaife, Richard J.; Kerrigan, Kevin

doi:10.1177/0021998316644849

Cited by 76 publications

(34 citation statements)

References 20 publications

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“…[1][2][3][4][5] Cutting parameters and uncut chip thickness have additionally been shown to have a critical effect on machining induced surface quality and pitting magnitude. [6][7][8] Chen et al 9 have compiled a thorough analysis of the different types of cutting mechanism for the 0°, 45°, 90°and 135°fibre orientations, using micro textured tools in a composite milling process, and shown how fibre orientation will influence the machined surface quality. Specifically, in composite machining, it has been shown that ply orientation will significantly dictate the machined surface topography, cutting mechanism and defect types.…”

Section: Introductionmentioning

confidence: 99%

Towards intelligent CFRP composite machining: Surface analysis methods and statistical data analysis of machined fibre laminate surfaces

Duboust

Watson

Marshall

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Many carbon fibre reinforced polymer composite parts need to be edged trimmed before use to ensure both geometry and mechanical performance of the part edge matches the design intent. Measurement and control of machining induced surface damage of composite material is key to ensuring the part retains its strength and fatigue properties. Typically, the overall surface roughness of the machined face is taken to be an indicator of the amount of damage to the surface, and it is important that the measurement and prediction of surface roughness is completed reliably. It is known that the surface damage is heavily dependent on the fibre orientation of the composite and cutting tool edge condition. This research has developed a new ply-by-ply surface roughness measurement methods using optical focus variation surface analysis and image segmentation for calculating areal surface roughness parameters of a machined carbon fibre composite laminate. Machining experiments have been completed using a polycrystalline diamond edge trimming tool at increasing levels of cutting edge radius. Optical surface measurement and µ-CT scanning have been used to assess machining induced surface and sub-surface defects on individual fibre orientations. Statistical analysis has been used to assess the significance of machining parameters on Sa (arithmetic mean height of area) and Sv (areal magnitude of maximum valley depth) areal roughness parameters, on both overall roughness and ply-by-ply fibre orientations. Empirical models have been developed to predict surface roughness parameters using statistical methods. It has been shown that cutting edge degradation, fibre orientation and feed rate will significantly affect the cutting mechanism, machining induced surface defects and surface roughness parameters.

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Section: Introductionmentioning

confidence: 99%

Towards intelligent CFRP composite machining: Surface analysis methods and statistical data analysis of machined fibre laminate surfaces

Duboust

Watson

Marshall

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…This aims to determine best results of the machine according to the temperature tested. Surface roughness test for plastic composites by applying an optical method was measured [21]. Furthermore, plastic pipes that were used for irrigation were calculated experimentally using internal surface roughness test [22].…”

Section: Literature Reviewmentioning

confidence: 99%

Construction and Analysis of Plastic Extruder Machine for Polyethylene Plastic Waste

Sonjaya¹,

Hidayat

2021

EPI-IJE

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Polyethylene plastic waste is such hazard object in the world, while the benefits of this plastic rubbish are prodigious. An extruder machine is one of the great ways to reduce huge amounts of plastic waste not only to the manufacturing companies which recycle the plastic waste but also to the small society. This extruder machine was created to overcome the problems faced by all countries about plastic waste in land or in ocean. The results of extruded plastic waste were solid filament that can be utilized for some valuable stuff made by plastic. From this study, experimental test was applied by heating the plastic waste with different temperatures of 150, 160, 170, 180, 190, 200, 210, 220, and 230°C. As a result, the best temperature to heat the polyethylene plastic waste is 190°C according to surface roughness test and digital caliper measurement.

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“…Authors proved the surface roughness increased with machining distance generally following a steady trend. They also reported that diamond coated tool with multiple cutting teeth or also known as burrs tool was able to produce a good quality surface although at high feed rate, V f in comparison with polycrystalline diamond (PCD) tool [17,18]. Souhir Gara and Oleg Tsoumarev performed a series of comparison study on a few different micro-grain of burr tool which categorized into fine, medium and coarse type in slotting CFRP material.…”

Section: Introductionmentioning

confidence: 99%

Effect of Machining Parameters on Surface Roughness in Edge Trimming of Carbon Fiber Reinforced Plastics (CFRP)

2020

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The main aim of this research was to investigate the effect of machining parameters towards surface quality during edge trimming process on a specific CFRP material. There were two variation of machining parameters focused in this work namely spindle speed (N) and feed rate (V f). The CFRP panel is measured 3.25 mm in thickness and the type of fabric was unidirectional (UD). It has 28 number of plies in total and were arranged multi-directional. Router or burr tool geometry made of uncoated tungsten carbide with a diameter of 6.35 mm was used to perform the edge trimming process. Surface roughness measurement was taken using Mitutoyo Surftest SJ-410. Furthermore, optical microscope Nikon MM-800 is utilized to further observe the trimmed surfaces. The result reveals that the smallest value of the surface roughness (1.31 µm) is obtained by Run 8 (R8) which the spindle speed, N applied was 2506 rpm and feed rate, V f at 376 mm/min. Meanwhile, the highest surface roughness value (12.62 µm) exhibited by the R9 which had the highest setting of spindle speed, N 7518 rpm and the highest feed rate, V f 1128 mm/min. The result is supported by the observation of trimmed surface through optical microscopy which clearly exhibits uncut fibers and matrix degradation condition. Details results elaborated and discussed further in this paper.

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An optical method for measuring surface roughness of machined carbon fibre-reinforced plastic composites

Cited by 76 publications

References 20 publications

Towards intelligent CFRP composite machining: Surface analysis methods and statistical data analysis of machined fibre laminate surfaces

Towards intelligent CFRP composite machining: Surface analysis methods and statistical data analysis of machined fibre laminate surfaces

Construction and Analysis of Plastic Extruder Machine for Polyethylene Plastic Waste

Effect of Machining Parameters on Surface Roughness in Edge Trimming of Carbon Fiber Reinforced Plastics (CFRP)

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