Evaluation of surface roughness using machine vision

Babu, G. Dilli; Babu, K. Sivaji; Gowd, B. Uma Maheswar

doi:10.1109/interact.2010.5706143

Cited by 8 publications

(6 citation statements)

References 10 publications

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“…noticed in their experimental work that HFRC recorded lowest delamination factor and surface roughness when compared with glass, jute and banana fibre‐reinforced composites. They concluded that low feed rates coupled with high cutting speeds reduced delamination and prolonged tool life . Ogawa et al .…”

Section: Introductionmentioning

confidence: 90%

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Effects of drilling parameters and aspect ratios on delamination and surface roughness of lignocellulosic HFRP composite laminates

Ismail

Dhakal

Dimla

et al. 2015

J of Applied Polymer Sci

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Hemp fibre-reinforced polycaprolactone (HFRP) composite has inherent good mechanical properties and benefits which include remarkably high specific strength and modulus, low density, and renewability. No doubt, these properties have attracted wider applications of HFRP composite in engineering applications. This paper presents an investigation on the influence of drilling parameters and fibre aspect ratios, AR (0, 19, 26, 30, and 38) on delamination damage factor and surface roughness of HFRP composite laminates utilising high speed steel twist drills under dry machining condition. Taguchi's technique was used in the design of experiment. The results obtained show that increase in cutting speed reduces delamination factor and surface roughness of drilled holes, whereas increase in feed rate causes increase in both delamination factor and surface roughness. Feed rate and cutting speed had the greatest influence on delamination and surface roughness respectively when compared with aspect ratio, while an increase in fibre aspect ratios leads to a significant increase in both delamination factor and surface roughness. The optimum results occurred at cutting speed and feed rate (drilling parameters) of 20 mm/min and 0.10 mm/rev, respectively, when drilling sample of AR 19.

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Section: Introductionmentioning

confidence: 90%

“…Mechanical properties such as creep life, fatigue strength, wear, and corrosion resistance can be improved through a desirable quality drilled hole. Babu et al . noticed in their experimental work that HFRC recorded lowest delamination factor and surface roughness when compared with glass, jute and banana fibre‐reinforced composites.…”

Section: Introductionmentioning

confidence: 99%

Effects of drilling parameters and aspect ratios on delamination and surface roughness of lignocellulosic HFRP composite laminates

Ismail

Dhakal

Dimla

et al. 2015

J of Applied Polymer Sci

View full text Add to dashboard Cite

show abstract

“…It is very common to measure the surface roughness in CNC machined parts by visual methods and compare them with conventional values, contact techniques such as; the arithmetic mean of the roughness (Ra) and spacing between peaks of the midline (Rsm), [9]. Additionally, the characterization can be done with 3D walls [10], and the use of neural networks [11].…”

Section: Related Workmentioning

confidence: 99%

Correlation between Roughness (Ra) and Fractal Dimension (D) Using Artificial Vision Systems for On-Site Inspection

Landeros¹,

Meneses²,

Rodríguez³

et al. 2018

CyS

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A set of images of metal pieces with different finishes was obtained for use as a standard reference in the estimate of the surface roughness (Ra) through the fractal dimension (D) of the power spectrum and the spectrum of intensities. A system of artificial vision with two sources of LED light illumination (white and red) and three angles of incidence was used. The best results were found with the spectra of intensities regardless of the type of lighting or the angle of incidence. The values of the fractal dimension were correlated with the surface roughness values obtained with a contact profilometer to build regression curves that are used to estimate the surface roughness on site with a statistical error under 5%. This system could be used as an inspection station to reduce waiting times and unnecessary transport (Poka Yoke System).

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“…It drastically reduces the assembly tolerances and strength against fatigue which later reducing and degrading the long term performance of the composite parts. Babu et al [8] stated that the natural fiber reinforced composites materials are recognized as better materials for structural applications, however, machining of these composites may causes a number of problems. Several damages for instance delamination, fiber pull-out, edge chipping, uncut fibers and others are some of the sources occurs in drilling of composite materials [9].…”

Section: Introductionmentioning

confidence: 99%

Analysis and modeling of delamination factor in drilling of woven kenaf fiber reinforced epoxy using Box Behnken experimental design

Mokhtar

Hassan²,

Jaharah³

et al. 2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. In this research study, it presents a comprehensive mathematical model for correlating the influences of drilling parameters on the delamination factor during the drilling of woven kenaf fiber reinforced epoxy composite laminates using the Box Behnken experimental design. The purpose of this study is to investigate the influence of drilling parameters such as cutting speed, feed rate and drill sizes on the delamination produced when drilling woven kenaf reinforced epoxy composite using the non-coated HSS drill bits. The damage generated on the woven kenaf reinforced epoxy composite laminates were observed both at the entrance and exit surface during the drilling operation. The experiments were conducted according to the Box Behnken experimental designs.

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Evaluation of surface roughness using machine vision

Cited by 8 publications

References 10 publications

Effects of drilling parameters and aspect ratios on delamination and surface roughness of lignocellulosic HFRP composite laminates

Effects of drilling parameters and aspect ratios on delamination and surface roughness of lignocellulosic HFRP composite laminates

Correlation between Roughness (Ra) and Fractal Dimension (D) Using Artificial Vision Systems for On-Site Inspection

Analysis and modeling of delamination factor in drilling of woven kenaf fiber reinforced epoxy using Box Behnken experimental design

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