Particleboard panels are widely utilized as a raw material in the wood processing industry. It ends up as furniture, cabinets, and other industrial products. One of the problems particleboard mills face concerns the surface quality of their boards. As the demands of customers become more precise, very thin overlays are becoming more popular. Thus the problem of surface quality control and classification is clearly identified. In this paper, a particleboard surface-roughness classification system is modeled, simulated, and implemented. The particleboard model is based on the characterization of surface anomalies (pinholes, sander streaks, and grooves). Furthermore, an optical stylus surface-roughness measurement system is also modeled in order to determine whether it can be used to characterize a particleboard “on-ine.” A classification algorithm is proposed to serve as an aid to the quality control operator. Simulation results are presented illustrating the change of surface roughness with increasing amounts of surface anomalies. A classification algorithm is used to sort the simulated panels into different classes. A trial bench test using 225 panels is made to determine the applicability of this system to the industrial context.
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August 2005
Technical Papers
Particleboard Surface-Roughness Classification System Modeling, Simulation, and Bench Testing
P. Radziszewski,
P. Radziszewski
Department of Mechanical Engineering,
McGill University
, 817 Sherbrooke Street West, Montréal, PQ H3A 2K6, Canada
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B. Picard,
B. Picard
Department of Mechanical Engineering,
McGill University
, 817 Sherbrooke Street West, Montréal, PQ H3A 2K6, Canada
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A.-M. Bourret,
A.-M. Bourret
BRCDT,
École Polytechnique
, C.P. 6079, Succ. Centre-ville Montréal, PQ H3C 3A7, Canada
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J.-P. Brunet,
J.-P. Brunet
Bioptic Vision, Inc.
, 1927 3 av, Val d’Or, Québec, PQ J9P 4N7, Canada
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M. Tétreault,
M. Tétreault
Département de Génie de la Production Automatisée,
École de Technologie Supérieure
, 1100 rue Notre-Dame Ouest, Montréal, PQ H3C 1K3, Canada
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K. Zaras,
K. Zaras
Département des Sciences Administratives,
Université du Québec en Abitibi-Témiscamingue
, 445, Boulevard de l’Université, Rouyn-Noranda, PQ J9X 5E4, Canada
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M. Cheriet,
M. Cheriet
Département de Génie de la Production Automatisée,
École de Technologie Supérieure
, 1100 rue Notre-Dame Oust, Montréal, PQ H3C 1K3, Canada
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J. Ouellet
J. Ouellet
Department of Mining, Metals and Materials,
McGill University
, 3450 University Street, Montréal, PQ H3A 2A7, Canada
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P. Radziszewski
Department of Mechanical Engineering,
McGill University
, 817 Sherbrooke Street West, Montréal, PQ H3A 2K6, Canada
B. Picard
Department of Mechanical Engineering,
McGill University
, 817 Sherbrooke Street West, Montréal, PQ H3A 2K6, Canada
A.-M. Bourret
BRCDT,
École Polytechnique
, C.P. 6079, Succ. Centre-ville Montréal, PQ H3C 3A7, Canada
J.-P. Brunet
Bioptic Vision, Inc.
, 1927 3 av, Val d’Or, Québec, PQ J9P 4N7, Canada
M. Tétreault
Département de Génie de la Production Automatisée,
École de Technologie Supérieure
, 1100 rue Notre-Dame Ouest, Montréal, PQ H3C 1K3, Canada
K. Zaras
Département des Sciences Administratives,
Université du Québec en Abitibi-Témiscamingue
, 445, Boulevard de l’Université, Rouyn-Noranda, PQ J9X 5E4, Canada
M. Cheriet
Département de Génie de la Production Automatisée,
École de Technologie Supérieure
, 1100 rue Notre-Dame Oust, Montréal, PQ H3C 1K3, Canada
J. Ouellet
Department of Mining, Metals and Materials,
McGill University
, 3450 University Street, Montréal, PQ H3A 2A7, CanadaJ. Manuf. Sci. Eng. Aug 2005, 127(3): 677-686 (10 pages)
Published Online: August 1, 2004
Article history
Received:
December 2, 2003
Revised:
August 1, 2004
Citation
Radziszewski, P., Picard, B., Bourret, A., Brunet, J., Tétreault, M., Zaras, K., Cheriet, M., and Ouellet, J. (August 1, 2004). "Particleboard Surface-Roughness Classification System Modeling, Simulation, and Bench Testing." ASME. J. Manuf. Sci. Eng. August 2005; 127(3): 677–686. https://doi.org/10.1115/1.1954795
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