Form error removal of sanded wood surfaces

Gurău, Lidia; Mansfield-Williams, H.; Irle, Mark; Cionca, Marina

doi:10.1007/s00107-009-0310-8

Cited by 8 publications

(7 citation statements)

References 2 publications

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“…A surface roughness methodology for measuring and evaluation of surface data proposed by Gurau et al 26 was used in this research. The methodology was born from previous research experience, which indicated a stylus instrument as reliable for wood surfaces.…”

Section: Methodsmentioning

confidence: 99%

“…2,3,5 However, in this research, the specimens (four replicates for each WPC combination) were scanned on tracing lengths of 50 mm, because longer tracing length gave more accurate results. 26 Four profiles were recorded for each specimen, two on each specimen face, so that a total of 16 profiles were available for further evaluation of parameters for each WPC combination. The profiles were measured in areas which displayed, as much as possible, homogeneity of the mixture.…”

Section: Methodsmentioning

confidence: 99%

“…First, the software removed the form error and after that, the waviness. The roughness profiles were obtained by filtering each profile by using the robust filter RGRF contained in ISO 16610-31 16 and recommended in the methodology from Gurau et al 26 The cutoff used was 2.5 mm as recommended in previous research of Gurau et al 9,26 and also used by various researchers specifically on WPC surfaces. 2,3,24…”

Section: Methodsmentioning

confidence: 99%

“…A thorough understanding of the surface condition is needed, especially for composite materials where wood is used in combination with other materials and so introducing a degree of unevenness. Gurau et al 21 interpreted a range of profile roughness parameters from ISO 4287 22 and ISO 13565-2 23 when applied to wood and found that apart from Ra or Rz , parameters as Rq , Rt , Rsk, and Rku (from ISO 4287) as well as Rk , Rpk, and Rvk (from ISO 13565-2) gave refined information about the presence of deep valleys, accidental gaps in the surface, and surface fuzziness outlying from a core roughness. The usefulness of some shape parameters such as Rsk and Rku for evaluating the WPC surfaces was also acknowledged by Hutyrová et.…”

Section: Introductionmentioning

confidence: 99%

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Effect of raw material composition of wood plastic composites on surface roughness parameters evaluated with a robust filtering method

Gurău

Ayrılmış

2018

Journal of Thermoplastic Composite Materials

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This study extensively investigated the surface roughness of injection molded wood plastic composites (WPCs) produced from different amounts of wood flour, polymer matrix, mineral filler, and other additives. A larger range of roughness parameters that used in the previous literature were obtained from nine different WPC compositions by using a robust filtering method (robust Gaussian regression filter) to have a better understanding of the overlaying quality of the WPC samples. Three melt flow index (MFI) of the polymer were tested (MFI 3.6, 12, and 25). It was found that WPCs produced with the polypropylene having a MFI value of 25 were the smoothest. It was noticed that not only the wood flour percentage matters but the combination of wood flour–mineral filler was also important. The WPC compositions with lower polymer amount in favor of more wood flour and mineral filler led to rougher surfaces. A decrease of wood flour in favor of increasing the mineral filler participation percentage had a surface smoothing effect. At the same wood flour content, a decrease in polymer combined with an increase in mineral filler led to rougher WPC surface. Among the tested WPC compositions, the smoothest surface was obtained in the specimens produced from 50% wood flour, 0% mineral filler, and around 40% polymer by weight. The results should be helpful to anticipate the effect on surface roughness of the percentage participation for each amount of the wood or mineral filler, polymer matrix, and additives in further development of WPC combinations.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of raw material composition of wood plastic composites on surface roughness parameters evaluated with a robust filtering method

Gurău

Ayrılmış

2018

Journal of Thermoplastic Composite Materials

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“…A new available standard (ISO 25178-2 2012) allows these criteria to be defined in three dimensions (Ramananantoandro et al 2013). However, if the difficulties related to wood anisotropy are solved with contactless devices, 3D surface roughness criteria and the use of a minimum sensing surface (Larricq et al 2000), the problems related to signal filtering remain (Gurau et al 2009). Moreover, it is still difficult to separate the influence of the wood structure itself and that of the machining operation, although for some authors, valley depth parameters seem particularly well suited to characterising the features of wood anatomy (Cool 2011;Khazaeian 2006).…”

Section: Geometrical Characterisation Of Surfacesmentioning

confidence: 99%

Wood machining with a focus on French research in the last 50 years

Thibaut

Denaud

Collet

et al. 2016

Annals of Forest Science

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Abstract& Key message Wood machining is compulsory both for timber separation and the surfacing of wooden objects. The anisotropy, cellular nature and multi-scale level organisation of wood make its cutting complicated to study. During the last 50 years, most of the wood machining subjects were covered by French teams. & Context Woodcutting is a very old technology but scientific research is scarce on the subject. In the last 50 years, much work on basic mechanisms as well as on industrial processes has been done in France. In primary conversion such as sawing, veneer cutting or green wood chipping, huge progress comes from automation and the possibility of linking the process to log and product quality through new sensors. In secondary processing, much has been done on the links between the cutting process, surface qualification and the properties of these surfaces for further processing, such as gluing or coating. Tool wear depends on the cutting process, timber quality and species. Tradeoffs are required in tool technology and coating technologies may improve tool life. & Conclusion A large amount of knowledge and innovation has come from 50 years of worldwide research effort, with France being particularly active in this period. The transfer of skills from metals cutting industry was often a key, but much is needed to move closer to both metal cutting sector and woodcutting skills among craftsmen.

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Evaluating the Roughness of Sanded Wood Surfaces

2011

Wood Machining

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Form error removal of sanded wood surfaces

Cited by 8 publications

References 2 publications

Effect of raw material composition of wood plastic composites on surface roughness parameters evaluated with a robust filtering method

Effect of raw material composition of wood plastic composites on surface roughness parameters evaluated with a robust filtering method

Wood machining with a focus on French research in the last 50 years

Evaluating the Roughness of Sanded Wood Surfaces

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