Investigation on Milling Quality of Stone–Plastic Composite Using Response Surface Methodology

Wu, Zhanwen; Buck, Dietrich; Dong, Jiancheng; Guo, Xiaolei; Cao, Pingxiang; Zhu, Zhi‐Biao

doi:10.1007/s11837-021-05024-y

Cited by 14 publications

(11 citation statements)

References 19 publications

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“…Some traditional enterprises began to publicize the intelligent furniture concept but without actual actions in productions. Researches about the concept were constrained as ideas [44][45][46].…”

Section: Methodsmentioning

confidence: 99%

Current Status and Development Trends of Chinese Intelligent Furniture Industry

Xiong¹,

Yue²,

Zhang³

2023

Journal of Renewable Materials

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In this work, the current status, technical capabilities, and development trends of the Chinese intelligent furniture industry were in focus. Based on combining a literature review with field investigations and analysis of major scientific research projects in Zhejiang Province, China, an in-depth overview and discussion about previous experience, features, technologies, products and control methods in the intelligent furniture industry in China were conducted. The key technologies in current Chinese intelligent furniture industry include embedded systems, sensors, short-range wireless communication, artificial intelligence and intelligent interaction techniques. This work also mentions the challenges and opportunities for the industry, pointing out how to innovate and dominate the furniture market in the era of transformation from the traditional furniture industry to intelligent upgrading. The results are proposed to help readers from all over the world to understand the development trend and progress of the Chinese intelligent furniture industry.

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Section: Methodsmentioning

confidence: 99%

Current Status and Development Trends of Chinese Intelligent Furniture Industry

Xiong¹,

Yue²,

Zhang³

2023

Journal of Renewable Materials

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“…The response surface method can be used to model and analyze problems in which the studied response is affected by multiple variables, with the ultimate goal of optimizing the response [38,39]. In this paper, the Box-Behnken design (BBD) of response surface method was selected for the experimental design and modeling.…”

Section: Experimental Methodsmentioning

confidence: 99%

Optimization of cutting power and power efficiency during particleboard helical milling

Yao

Wang

2023

Materialwissenschaft Werkst

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With the aim of providing scientific guidance for the application of spiral cutters in particleboard machining, this work studied the influence of milling parameters on milling power and power efficiency during helical milling of particleboard. And the response surface methodology was applied to optimize the milling parameters to reduce machining energy consumption and improve energy efficiency. The factors of milling depth, spindle speed and helical angle were selected as input parameters, and the mathematical models between the input parameters and the response parameters were established. Then, the significant influence of each factor and the interaction of two factors were determined by variance analysis, and the change trend of milling power and power efficiency was studied by response surface methodology. Results showed that the milling depth had the greatest impact on milling power and power efficiency, followed by the spindle speed and helical angle. An increase in the milling depth and spindle speed resulted in an increase in milling power and power efficiency, while the increased helical angle resulted in a decrease in milling power and power efficiency. The optimized values of helical angle, spindle speed and milling depth were 54°, 5650 min−1 and 1.3 mm, respectively.

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“…In China, the development of household digital design and manufacturing technologies has experienced four major stages (Zhang et al 2021;Xiong and Yue 2022;Wu et al 2022).…”

Section: Development History Of Digital Designmentioning

confidence: 99%

Digital design process and part family division of solid wood custom cabinet door based on multi-attribute overlapping clustering technology

Ren

Xiong

2022

BioRes

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The flexible production of solid wood custom furniture is needed to meet the individual needs of the market. Based on M Company, this study developed a digital design platform and its key technologies (data extraction and integration, part family division, coding technology, model base construction, information interaction, and connection) and proposed a multi-attribute overlapping clustering technology (MOCT) method for the division of a family of cabinet door parts. The results indicated that the platform and technologies based on M company provides a reference for the digital transformation of solid wood furniture. The part family division method based on MOCT displayed excellent grouping performance and adjustability, and it could be extensively applied to the group processing of solid wood furniture parts.

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Investigation on Milling Quality of Stone–Plastic Composite Using Response Surface Methodology

Cited by 14 publications

References 19 publications

Current Status and Development Trends of Chinese Intelligent Furniture Industry

Current Status and Development Trends of Chinese Intelligent Furniture Industry

Optimization of cutting power and power efficiency during particleboard helical milling

Digital design process and part family division of solid wood custom cabinet door based on multi-attribute overlapping clustering technology

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