4.7 Article

Investigation on Cutting Power of Wood-Plastic Composite Using Response Surface Methodology

Related references

Note: Only part of the references are listed.
Article Materials Science, Paper & Wood

Modeling and optimizing the specific cutting energy of medium density fiberboard during the helical up-milling process

Rongrong Li et al.

Summary: Due to its flexible motion characteristics, helical milling is able to achieve high surface quality and cutting stability. In the medium density fiberboard (MDF) helical up-milling process, the effects of input parameters on specific cutting energy (SCE) were investigated. The results showed that the helical angle and depth of milling had extremely significant effects on SCE, while the rotation speed of the main shaft had a non-significant impact. A quadratic model was established to accurately predict SCE. The optimized parameters for helical angle, rotation speed, and depth of milling were determined. Although there was a slight increase in surface roughness under the optimized milling parameters, the optimization was feasible at the initial rough machining stage. These findings are important for guiding the selection of processing parameters to reduce SCE.

WOOD MATERIAL SCIENCE & ENGINEERING (2023)

Article Chemistry, Physical

Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards

Rongrong Li et al.

Summary: The cutting power consumption of milling has a direct effect on the economic benefits of manufacturing particle boards. This study investigates the influence of milling parameters on the cutting power and finds that the rake angle, rotation speed of the main shaft, and depth of milling are the key factors affecting the cutting power.

MATERIALS (2022)

Article Green & Sustainable Science & Technology

Predictive Modeling for Machining Power Based on Multi-source Transfer Learning in Metal Cutting

Young-Min Kim et al.

Summary: Energy efficiency is crucial in the metal cutting industry, with machining power being an important metric affecting energy consumption. Traditional learning approaches struggle in data-scarce environments, leading to the proposal of a transfer learning approach for predictive modeling of machining power. This approach transfers knowledge from prior machining to create power-predictive models, demonstrating success in anticipating machining power for different materials.

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY (2022)

Review Computer Science, Information Systems

RSM analysis based cloud access security broker: a systematic literature review

Shahnawaz Ahmad et al.

Summary: CASB is a security enforcement point or cloud-based software used to expand security policies to third-party computer programs and storage. Through systematic literature review, techniques for realizing CASB can be discovered and classified, providing a comprehensive understanding and a novel taxonomy. The parameters identified in these studies will help to further understand the influence of CASB.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2022)

Article Engineering, Manufacturing

Indirect approach for predicting cutting force coefficients and power consumption in milling process

Kai-Ning Shi et al.

Summary: Accurate energy consumption modeling is essential for sustainable manufacturing, with cutting-power-based models gaining attention for providing more comprehensive information. A novel indirect approach for estimating cutting force coefficients using simulated annealing algorithm is proposed, showing effectiveness in experiments and decent accuracy in energy consumption and cutting force prediction.

ADVANCES IN MANUFACTURING (2022)

Article Materials Science, Multidisciplinary

Analysis of cutting technology and energy consumption model of polyethylene WPC

Wenyong Shi et al.

Summary: This article analyzes the relationship among cutting parameters, cutting power, and energy consumption, and studies the energy consumption of WPC in the milling process. A theoretical prediction model of energy consumption is established based on experimental data, providing a scientific basis for the green processing of WPC with high efficiency and low energy consumption.

FERROELECTRICS (2022)

Article Materials Science, Paper & Wood

Wood-based Boards Mechanical Properties and Their Effects on the Cutting Process during Shredding

M. Kukla et al.

Summary: This study experimentally determined the mechanical properties of particleboard, oriented strand boards, and medium-density fibreboards in the shredding process, analyzing the influence of material type, blade geometries, and cutting depth on cutting force and elasticity coefficient.

BIORESOURCES (2021)

Article Forestry

Effect of Veneer Initial Moisture Content on the Performance of Polyethylene Film Reinforced Decorative Veneer

Lu Fang et al.

Summary: The study investigated the effect of initial veneer moisture content on the performance of plastic film reinforced decorative veneer. The results showed that the optimum surface bonding and immersion peel strength of the veneer were achieved when the initial moisture content fluctuated between 10% and 20%. Exceeding 20% initial moisture content significantly decreased the strength of the decorative veneer.

FORESTS (2021)

Article Materials Science, Paper & Wood

STUDY ON PERMEABILITY OF CUNNINGHAMIA LANCEOLATA BASED ON STEAM TREATMENT AND FREEZE TREATMENT

Yueqian Yang et al.

Summary: By analyzing the effects of different treatment methods on the permeability of Cunninghamia lanceolata, it was determined that superheated steam treatment is the best pretreatment method.

WOOD RESEARCH (2021)

Article Chemistry, Multidisciplinary

Woodworking Tool Wear Condition Monitoring during Milling Based on Power Signals and a Particle Swarm Optimization-Back Propagation Neural Network

Weihang Dong et al.

Summary: A novel woodworking tool wear condition monitoring method is proposed in this study, utilizing limiting arithmetic average filtering method and PSO-BP neural network algorithm, to accurately monitor the woodworking tool wear conditions under different milling parameters.

APPLIED SCIENCES-BASEL (2021)

Article Forestry

Effects of laser parameters on the width of color change area of poplar wood surface during a single irradiation

Rongrong Li et al.

Summary: The laser surface treatment method is efficient for modifying wood properties like color, wettability, and surface roughness. By experimenting, it was found that laser power and focus plane position significantly influence the width of color change area (WCCA). A quadratic model was established to accurately predict WCCA under different laser parameter combinations.

EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS (2021)

Article Materials Science, Multidisciplinary

Effects of freezing and steam treatments on the permeability of Populus tomentosaEinfluss von Vereisungs- und Dampfbehandlung auf die Permeabilitat von Populus tomentosa

W. Xu et al.

Summary: Two modification methods, freezing and steam treatments, were used to improve the material properties of Populus tomentosa. The optimal parameters for each treatment were determined, with steam treatment showing a greater impact on permeability. It was suggested that steam treatment is more effective for modifying the properties of Populus tomentosa.

MATERIALWISSENSCHAFT UND WERKSTOFFTECHNIK (2021)

Review Green & Sustainable Science & Technology

Current situation and key manufacturing considerations of green furniture in China: A review

Xianqing Xiong et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Materials Science, Paper & Wood

DETERMINATION OF MAXIMUM TORQUE DURING CARPENTRY WASTE COMMINUTION

Lukasz Wargula et al.

WOOD RESEARCH (2020)

Article Materials Science, Paper & Wood

CUTTING ENERGY REQUIRED DURING THE MECHANICAL PROCESSING OF WOOD SPECIES AT DIFFERENT DRYING STAGES

Taiane Oliveira Guedes et al.

MADERAS-CIENCIA Y TECNOLOGIA (2020)

Article Green & Sustainable Science & Technology

Sustainable and high-efficiency green electrical discharge machining milling method

Xinlei Wu et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Automation & Control Systems

Cutting energy consumption modelling for prismatic machining features

Lihui Wang et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2019)

Article Forestry

Robust optimization of energy consumption during mechanical processing of wood

Diego Jean de Melo et al.

EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS (2019)

Article Green & Sustainable Science & Technology

A process parameters optimization method of multi-pass dry milling for high efficiency, low energy and low carbon emissions

Hua Zhang et al.

JOURNAL OF CLEANER PRODUCTION (2017)

Article Materials Science, Composites

Effect of maleic anhydride grafted polyethylene on the properties of chopped carbon fiber/wood plastic composites

Zhifang Zhou et al.

JOURNAL OF REINFORCED PLASTICS AND COMPOSITES (2014)