[HTML][HTML] A survey on recent trends in robotics and artificial intelligence in the furniture industry
A Brunello, G Fabris, A Gasparetto, A Montanari… - Robotics and Computer …, 2025 - Elsevier
In this paper, we present a survey on recent trends in robotics and artificial intelligence in the
furniture industry. We first introduce the state-of-the-art applications of traditional and …
furniture industry. We first introduce the state-of-the-art applications of traditional and …
[HTML][HTML] Optimizing Wood Composite Drilling with Artificial Neural Network and Response Surface Methodology
Many factors (material properties, drill bit type and size, drill bit wear, drilling parameters
used, and machine-tool characteristics) affect the efficiency of the drilling process, which …
used, and machine-tool characteristics) affect the efficiency of the drilling process, which …
[HTML][HTML] Artificial Neural Network–based Prediction Model to Minimize Dust Emission in the Machining Process
H Singer, AC Ilçe, YE Şenel, E Burdurlu - Safety and Health at Work, 2024 - Elsevier
Background Dust generated during various wood-related activities, such as cutting, sanding,
or processing wood materials, can pose significant health and environmental risks due to its …
or processing wood materials, can pose significant health and environmental risks due to its …
Experimental Analysis of Effect of Machined Material on Cutting Forces during Drilling
J Sklenička, J Hnátík, J Fulemová, M Gombár… - Materials, 2024 - mdpi.com
Current research studies devoted to cutting forces in drilling are oriented toward predictive
model development, however, in the case of mechanistic models, the material effect on the …
model development, however, in the case of mechanistic models, the material effect on the …
[HTML][HTML] Multi-Objective Optimization of Manufacturing Process Using Artificial Neural Networks
K Marcineková, A Janáková Sujová - Systems, 2024 - mdpi.com
This paper focuses on the optimization of a critical operation in the furniture manufacturing
process, identifying it as a key priority for improvement by applying Systems Theory. The …
process, identifying it as a key priority for improvement by applying Systems Theory. The …
[HTML][HTML] Impact of Drill Bit Wear on Screw Withdrawal Resistance in Pinewood
M Sydor, K Waszkiewicz, Z Potok - Materials, 2024 - mdpi.com
Many factors affect screw withdrawal resistance (SWR), including screw size, embedment
depth, the pre-drilled hole's diameter, dimensional accuracy, and the furniture pieces' …
depth, the pre-drilled hole's diameter, dimensional accuracy, and the furniture pieces' …