Effects of CNC Processing Parameters on Surface Quality of Wood-Based Panels Used in Furniture Industry

Demir, Aydın; Cakiroglu, Evren Osman; Aydın, İsmail

doi:10.5552/drvind.2022.2109

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Plywood parts can be joined in various ways and the technological aspects of joinery can be easily learned on a basic level. The material is produced in many factories worldwide and therefore provides access worldwide [57]. The material should be adjusted to the production location according to the type of trees grown locally.…”

Section: Experimental Model Construction: Materials and Fabrication T...mentioning

confidence: 99%

Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem

Sędzicki

Cudzik

Nyka

2023

IJERPH

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Increasing population and urbanization, with climate change consequences, such as rising temperatures, influence public health and well-being. The search to improve the quality of life in cities becomes one of the priority objectives. A solution can be found in the role of greenery in an urban environment and its impact on human health. This opens a path toward experimentation on microclimate green structures that can be inserted into dense urban spaces providing human and environmental benefits. The article proposes an automated greenery design method combined with rapid prototyping for such interventions. A theoretical analysis of the problem preceded the introduction of the method. The research process was developed in accordance with the main objectives of the CDIO framework (Conceive, Design, Implement, and Operate) with the SiL (Software in the Loop) and HiL (Hardware in the Loop) methods. Moreover, the applied test model allows for complex evaluation in order to ensure quality and directions for further development.

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Section: Experimental Model Construction: Materials and Fabrication T...mentioning

confidence: 99%

Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem

Sędzicki

Cudzik

Nyka

2023

IJERPH

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“…Therefore, the forest area of each country is chosen to measure its forest resource endowment. According to the development pattern of the wood-based panel industry structure, the wood-based panel industry in various countries will undergo a transformation from labor-intensive industries to technology-and capital-intensive industries [38,39]. Therefore, the proportion of agricultural and forestry workers in RCEP countries is selected to reflect their labor resource endowment [40].…”

Section: Variable Selectionmentioning

confidence: 99%

The Influence of GVC Participation and Division of Labor Status on the Comparative Advantage of China’s Wood-Based Panel Industry

Luo,

Zhao,

Cheng

et al. 2023

Forests

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This article innovatively proposes a new display comparative advantage index (NB*). Based on the characteristics of existing comparative advantage indices and practical research needs, the NB* index can more accurately measure whether a country’s products have comparative advantages among other countries within the selected region, which to some extent expands the research boundary of industrial international competitiveness evaluation indicators. Meanwhile, this article takes China’s wood-based panel industry as an example to calculate the comparative advantage level of China’s wood-based panel industry among Regional Comprehensive Economic Partnership (RCEP) member countries and further explores the impact of global value chain participation and division of labor status on the international competitiveness of the industry. Research has found that, firstly, although China’s wood-based panel industry has a relatively lower level of comparative advantage among RCEP member countries, it still has a certain level of competitiveness in some developed and developing countries’ markets; Secondly, in terms of the wood-based panel industry, a higher level of global value chain participation can effectively improve the international comparative advantage level of the domestic wood-based panel industry. Thirdly, the level of division of labor in the industrial chain has a significant positive impact on the comparative advantage level of China’s wood-based panel industry in RCEP member countries. Therefore, in order to enhance the international competitiveness of the domestic wood-based panel industry, it is necessary to actively participate in the global value chain and continuously move towards a higher level of division of labor in the industry chain.

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Machining Process Automation in Computer Numerical Control Turning Using Robot-Assisted Imaging and CNN-Based Machine Learning

Maiti,

Patel,

Muthuswamy

2024

Journal of Manufacturing Science and Engineering

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With the emergence of the Industrial Internet of Things(IIoT) and Industry 4.0, industrial automation has grown as an important vertical in recent years. Smart manufacturing techniques are now becoming essential to keeping up with the global industrial competition. Decreasing the machine's downtime and increasing tool life are crucial factors in reducing machining process costs. Therefore, introducing complete process automation utilizing an intelligent automation system can enhance the throughput of manufacturing processes. To achieve this, intelligent manufacturing systems can be designed to recognize materials they interact with and autonomously decide what actions to take whenever needed. This paper aims to present a generalized approach for fully automated machining processes to develop an intelligent manufacturing system. As an objective to accomplish this, the presence of workpiece material is automatically detected and identified in the proposed system using a CNN-based machine learning algorithm. Further, the CNC lathe's machining toolpath is automatically generated based on workpiece images for a surface finishing operation. Machining process parameters (spindle speed and feed rate) are also autonomously controlled, thus enabling full machining process automation. The implemented system introduces cognitive abilities into a machining system, creating an intelligent manufacturing ecosystem. The improvised system is capable of identifying various materials and generating toolpaths based on the type of workpieces. The accuracy and robustness of the system are also validated with different experimental setups. The presented results demonstrate that the proposed approach can be applied in manufacturing systems without the need for significant modification.

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Effects of CNC Processing Parameters on Surface Quality of Wood-Based Panels Used in Furniture Industry

Cited by 5 publications

References 11 publications

Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem

Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem

The Influence of GVC Participation and Division of Labor Status on the Comparative Advantage of China’s Wood-Based Panel Industry

Machining Process Automation in Computer Numerical Control Turning Using Robot-Assisted Imaging and CNN-Based Machine Learning

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