Effect of CNC application parameters on wooden surface quality

Koç, Küçük; Erdinler, Emine Seda; Hazır, Ender; Öztürk, Emel

doi:10.1016/j.measurement.2017.05.001

Cited by 46 publications

(25 citation statements)

References 21 publications

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“…When the effect of cutter feed rate on Ra is examined, a significant increase in Ra value was seen by increasing feed rate from 1000 mm/min to 1500 mm/min., and Ra value increased by increasing feed rate to 2000 mm/min, which is the maximum speed of CNC machine, but this increase was slightly lower.Similar results were reported in other studies. An increase in spindle speed and feed rate resulted in a decrease in surface roughness [10,21,22,[26][27][28][29]. The surface roughness of MDF increased with lower spindle speed, lower stepover, lower feed rate and lower depth of cut [14].…”

Section: Resultsmentioning

confidence: 99%

“…They suggested a low feed rate for good surface quality [20]. According to results obtained by laser and needle scanning method in beech tree and Ayous tree species, the lowest roughness value was obtained at 2 m/min feed rate at 18000 rpm [21]. In the study performed by Bal (2018), as feed rate and blade pitch increased, surface roughness increased, and machining time decreased according to data obtained in medium density fiber board in CNC machining.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of the Effect of Machining Parameters on Surface Quality in Bamboo

Aykac

Sofuoğlu

2021

Teh. vjesn.

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The purpose of the study is to obtain optimum processing conditions by investigating the effect of machining parameters of bamboo (Bambusa) material on surface quality. Evaluation was performed for four machining parameters (cutters type, spindle speed, feed rate and depth of cut) and their effects on surface roughness. According to obtained data, roughness values increased with increasing machining depth. Increase in roughness values between 8000 rpm and 10000 rpm, decrease in roughness values between 10000 rpm and 14000 rpm, and increase in roughness values between 14000 rpm and 16000 rpm was observed. Roughness value increased with increasing cutter feed speed. Roughness value decreased by increasing number of blades in cutter in cutter type. The lowest roughness value was obtained at a machining depth of 2 mm at a spindle speed of 14000 rpm, a feed rate of 1000 mm/min and a cutter type 3 (four flute spiral end mill).

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigation of the Effect of Machining Parameters on Surface Quality in Bamboo

Aykac

Sofuoğlu

2021

Teh. vjesn.

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“…Besides stylus profilometers, light scattering, laser, pneumatic profilometers may be used to measure the roughness of wood product surfaces. Koc et al 75 used a laser based system and a stylus profilometer to measure the roughness, and studied the process conditions for machining Ayous and Beech wood and MDF. Optimized feed rate and spindle speed minimized the roughness of these wood samples.…”

Section: Surface Roughness Of Wood Materialsmentioning

confidence: 99%

Surface roughness of machined wood and advanced engineering materials and its prediction: A review

Zhong

2021

Advances in Mechanical Engineering

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This article discusses the surface roughness of wood and advanced engineering materials after machining and its prediction. The topics are surface roughness of precision-machined advanced engineering materials, machining of WC and Inconel, rapidly solidified Al alloys, surface roughness of wood materials, and prediction of surface roughness. Findings include that ductile streaks on silicon and glass surfaces ground or lapped with inexpensive machines largely reduced the polishing time to obtain the required surface roughness. Abrasive jet machining could remove the patterns from recycled wafers and improve the surface roughness. The roughness of WC-Co coatings was significantly improved by using the method of fast regime fluidized bed machining. As beryllium is a toxic element, the rapidly solidified Al alloy may be a good insert material to replace BeCu. Higher bonding strengths resulted from rougher surfaces of wood samples. Wood samples had reduced bonding strengths after soaking in water. Optimum artificial neural networks (ANNs) with necessary inputs could accurately predict the roughness values. ANNs trained using particle swarm optimization and genetic algorithms could predict surface roughness better than typical ANNs. Minimum quantity lubrication is a hot research topic to minimize the amount of the fluid for cost and environmental considerations.

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“…Medium-density fiberboard (MDF) consists of wood fibres and a synthetic binder. Diverse machining processes such as drilling, milling, and turning are applied to obtain the required size and form of the MDF [1][2][3][4]. e most common technique for examining machining efficiency is based on the surface finishing and covers visual evaluation of surface quality measurement [5,6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Surface Roughness in Drilling Medium‐Density Fiberboard with a Parallel Robot

Ayyıldız

Kara

2021

Advances in Materials Science and Engineering

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This study focuses on the examination of the effect of cutting parameters on surface roughness when drilling medium-density fiberboard (MDF) with a parallel robot. Taguchi technique was applied to find the optimum drilling parameters and, later, the drilling processing. Experimental layout was established using the Taguchi L18 orthogonal array, and experimental data were examined via a statistical analysis of variance (ANOVA). Experimental results were performed by multiple regression analysis (linear and quadratic). Correlation coefficient (R2) was found 99.46% for surface roughness with the quadratic regression model. By the Taguchi analysis, the optimum values for the surface roughness were found to be a point angle of 118°, a cutting speed of 47.1 m/min, and a feed rate of 0.01 mm/rev. The optimization outcomes presented that the Taguchi technique had been successfully performed to decide the optimal surface roughness of the MDF in the drilling.

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Effect of CNC application parameters on wooden surface quality

Cited by 46 publications

References 21 publications

Investigation of the Effect of Machining Parameters on Surface Quality in Bamboo

Investigation of the Effect of Machining Parameters on Surface Quality in Bamboo

Surface roughness of machined wood and advanced engineering materials and its prediction: A review

Optimization of Surface Roughness in Drilling Medium‐Density Fiberboard with a Parallel Robot

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