Visual and visuo-tactile preferences of Malagasy consumers for machined wood surfaces for furniture: acceptability thresholds for surface parameters

Ramanakoto, Miora F.; Andrianantenaina, Anjy; Ramananantoandro, Tahiana; Eyma, Florent

doi:10.1007/s00107-016-1098-y

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…The grade No mechanical or scanning techniques were employed to measure the precision of the visual grading evaluation. A combination of visual and tactile evaluations was employed to determine specimen surface quality as indicated by the existing literature [12,20]. Most of the machining quality was notable by eye and touch, as visual grading provides a rapid and complete analysis of surface quality [21].…”

Section: Scoring and Results Analysismentioning

confidence: 99%

Machinability Study of Australia’s Dominate Plantation Timber Resources

Kotlarewski

Lee

Whiteroad³

2019

Forests

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This study tested the machinability of three major timber species grown in Tasmania, Australia, under different resource management schemes: plantation fiber-managed hardwood (Eucalyptus globulus Labill. and Eucalyptus nitens Maiden) and plantation sawlog-managed softwood (Pinus radiata D. Don). P. radiata was used as a control to identify significant differences in machining fibre-managed plantation timber against sawlog-managed plantation timber with numerically controlled computer technology and manually fed timber production techniques. The potential to fabricate architectural interior products such as moldings with plantation fiber-managed hardwood timber that is high in natural features was the focus of this study. Correlations between wood species, variation in moisture content, and density of individual machinability characteristics were analyzed to determine factors impacting the overall quality of plantation wood machinability. Correlations between species and within species groups from the resulting machinability tests are highlighted and discussed. The results indicate that the machinability of sawlog-managed softwood P. radiata is superior in some circumstances to fiber-managed hardwood E. globulus and E. nitens specimens, according to the American Society for Testing and Materials D1666-11.Forests 2019, 10, 805 2 of 15 an opportunity to utilize hardwood pulplogs to produce value-added architectural products with advanced manufacturing technologies such as computer numerically controlled (CNC) machinery.The key driver for this research is refocusing hardwood plantation resources into higher-value sawn board applications for furniture and architectural products. To design and manufacture such products, the suitability of processing pulplog with CNC or manually operator-controlled technologies is needed to determine: (i) the machinability of timber derived from pulplogs according to the American Society for Testing and Materials (ASTM) D1666-11 (Standard Test Methods for Conducting Machining Tests on Wood and Wood-Based Materials, 2011) [2] and (ii) the timber properties that most affect the quality of finish for each species.Utilizing low-quality and low-value plantation logs has been a global topic for a long time [3]. In recent times, Eucalypts have attracted much attention for improving the genetics for solidwood production [4] and utilization in value-added materials and product research [5], particularly mass-timber product development such as nail-laminated beams [6] and cross-laminated timber paneling [7]. Traditional wood products (board and veneer), engineered wood products (glulam) and wood-based panels (particleboard and medium-density fiberboard) have revolutionized the way wood is used in the built environment. Wood used in an appearance application relies on a high-quality surface finish to accommodate its final use [8], as well as the application of paints or lamella overlays. The literature consists of various machinability studies that investigate the quality of wood product surface f...

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Section: Scoring and Results Analysismentioning

confidence: 99%

Machinability Study of Australia’s Dominate Plantation Timber Resources

Kotlarewski

Lee

Whiteroad³

2019

Forests

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“…The cutting forces on the workpiece observed during wood machining are induced by three main components in the cutting mechanisms: the required new surface generation energy, the friction of the chip on the tool, and the mechanical energy dissipation inside the chip, as clearly presented by Atkins (2005). Marchal et al (2009) explain how the cutting forces are strongly related to the properties of the final part, for example its roughness as shown by Cyra and Tanaka (2000), which is often very important for the end-user quality appreciation of the product as suggested by the studies by Ramananantoandro et al (2014) and Ramanakoto et al (2017). Moreover, from an engineering point of view, high cutting forces are more likely to introduce tool deflection or vibrations and to increase the defects of the part.…”

Section: Introductionmentioning

confidence: 99%

Generalized cutting force model for peripheral milling of wood, based on the effect of density, uncut chip cross section, grain orientation and tool helix angle

et al. 2021

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The influence of the grain angle on the cutting force when milling wood is not yet detailed, apart from particular cases (end-grain, parallel to the grain, or in some rare cases 45°-cut). Thus, setting-up wood machining operations with complex paths still relies mainly on the experience of the operators because of the lack of scientific knowledge easily transferable to the industry. The aim of the present work is to propose an empirical model based on specific cutting coefficients for the assessment of cutting force when peripheral milling of wood based on the following input: uncut chip thickness and width, grain angle (angle between the tool velocity vector and the grain direction of the wood), density and tool helix angle. The specific cutting coefficients were determined by peripheral milling with different depths of cut wood disks issued from different wood species on a dynamometric platform to record the forces. Milling a sample into a round shape (a disk) allows to measure the cutting forces toward every grain angle into a sole basic diameter reduction operation. Force signals are then post-processed to carefully clean the natural vibrations of the system without impacting their magnitudes. The experiment is repeated on five species with a large range of densities, machining two disks per species for five depths of cut in up- and down milling conditions for three different tool helix angles. Finally, a simple cutting force model, based on the previously cited parameters, is proposed, and its robustness analysed.

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“…It was stated that tool direction has a significant impact on SR [30]. Mitchell and Lemaster [31] investigated the machined surface quality of soft maple using a CNC router as a function of SS, feed speed, tool direction, and tool wear.…”

Section: Discussionmentioning

confidence: 99%

“…In the literature, smoother surfaces were obtained with decreasing cutting width and DoC [35,36]. Ramanakoto et al [30] investigated the best cutting conditions related to SS, FR, DoC, and cutting direction in machining of wood in CNC router. They reported that the surface quality was pretty much affected by rotational speed and feed speed.…”

Section: Srmentioning

confidence: 99%

Optimization of wood machining parameters using artificial neural network in CNC router

Çakmak

Malkoçoğlu

Özşahin

2023

Materials Science and Technology

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This study aims to determine the optimal CNC (Computer Numerical Control) machining conditions using an artificial neural network. For this purpose, Fagus orientalis, Castanea sativa, Pinus sylvestris, and Picea orientalis wood samples at 8%, 12%, and 15% moisture content (MC) were machined on a CNC router in both across and along the grain directions. Based on the experimental data of surface roughness and cutting power analyses, a total of 16 models were used. These were selected in hundreds of models that have the lowest error. The spindle speed, feed rate, and the number of cutter teeth were chosen to be different with the literature based on the length of cutter mark. As a result, optimum machining parameters were determined for each wood MC.

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Visual and visuo-tactile preferences of Malagasy consumers for machined wood surfaces for furniture: acceptability thresholds for surface parameters

Cited by 6 publications

References 18 publications

Machinability Study of Australia’s Dominate Plantation Timber Resources

Machinability Study of Australia’s Dominate Plantation Timber Resources

Generalized cutting force model for peripheral milling of wood, based on the effect of density, uncut chip cross section, grain orientation and tool helix angle

Optimization of wood machining parameters using artificial neural network in CNC router

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