Integrated assessment and optimization of dual environment and production drivers in grinding

Wang, Jinling; Tian, Yebing; Hu, Xintao; Han, Jinguo; Liu, Bing

doi:10.1016/j.energy.2023.127046

Cited by 11 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A total of 21 experimental sets in seven control groups were selected and plotted in Figures 5 and 6. It was found that the smaller the infeed speed of Compared with the linear speed of the grinding wheel and grinding depth, the workpiece infeed speed has a greater impact on the active energy consumption and effective grinding time [29]. The relationship between active energy consumption and effective grinding time was analyzed.…”

Section: Interaction Among Evaluation Indicatorsmentioning

confidence: 99%

Study on a Novel Strategy for High-Quality Grinding Surface Based on the Coefficient of Friction

Li,

Jiao,

Liu

et al. 2023

Lubricants

Self Cite

View full text Add to dashboard Cite

Surface quality has a significant impact on the service life of machine parts. Grinding is often the last process to ensure surface quality and accuracy of material formation. In this study, a high-quality surface was developed by determining the coefficient of friction in grinding a quartz fiber-reinforced silica ceramic composite. By processing the physical signals in the grinding process, a multi-objective function was established by considering grinding parameters, i.e., surface roughness, coefficient of friction, active energy consumption, and effective grinding time. The weight vector coefficients of the sub-objective functions were optimized through a multi-objective evolutionary algorithm based on the decomposition (MOEA/D) algorithm. The genetic algorithm was used to optimize the process parameters of the multi-objective function, and the optimal range for the coefficient of friction was determined to be 0.197~0.216. The experimental results indicated that when the coefficient of friction tends to 0.197, the distribution distance of the microscopic data points on the surface profile is small and the distribution uniformity is good. When the coefficient of friction tends to 0.216, the surface profile shows a good periodic characteristic. The quality of a grinding surface depends on the uniformity and periodicity of the surface’s topography. The coefficient of friction explained the typical physical characteristics of high-quality grinding surfaces. The multi-objective optimization function was even more important for the subsequent high-quality machining of mechanical parts to provide guidance and reference significance.

show abstract

Section: Interaction Among Evaluation Indicatorsmentioning

confidence: 99%

Study on a Novel Strategy for High-Quality Grinding Surface Based on the Coefficient of Friction

Li,

Jiao,

Liu

et al. 2023

Lubricants

Self Cite

View full text Add to dashboard Cite

show abstract

“…Given the current focus on carbon peaking, carbon neutrality goals, and rational electricity production in China, enterprises are now emphasizing energy savings and green development more than ever before. For heavy industrial enterprises such as mines, energy-saving efforts, cost reduction, and efficiency enhancement have become particularly important [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Grinding Efficiency of a Magnetite Second-Stage Mill through Ceramic Ball Optimization: From Laboratory to Industrial Applications

Wu,

Chen,

Liao

et al. 2024

Minerals

View full text Add to dashboard Cite

Ceramic ball milling has demonstrated remarkable energy-saving efficiency in industrial applications. However, there is a pressing need to enhance the grinding efficiency for coarse particles. This paper introduces a novel method of combining media primarily using ceramic balls supplemented with an appropriate proportion of steel balls. Three grinding media approaches, including the utilization of steel balls, ceramic balls, and a hybrid combination, were investigated. Through an analysis of the grinding kinetics and the R–R particle size characteristic formulas, the study compares the breakage rate and particle size distribution changes for the three setups. The results indicate that employing binary media effectively improves the grinding efficiency for +0.3 mm coarse particles while maintaining the energy-saving advantages of ceramic ball milling. Simultaneously, the uniformity of the ground product is ensured. This proposed approach has been successfully validated in industrial applications, providing robust theoretical support for the expansion of ceramic ball milling applications.

show abstract

“…According to WHO statistics, approximately 2 million people die annually due to the presence of particulate matter in the workplace, with the majority of deaths caused by respiratory diseases [40,41]. Professional exposure to particles generated during material processing, particularly grinding processes, is one of the largest sources of particulate matter exposure for workers and must be monitored and characterised adequately [42][43][44].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Geometric Characteristics of Inhalable Particles Emitted from the Process of Grinding Dental Restorations

Ilic Micunovic,

Budak,

Vukelic

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

The study concerns measurement and evaluation of the geometric characteristics of the inhalable fraction of particulate matter generated in the process of grinding dental restorations, which is a process that generates a large quantity of particulates. The research is based on measurements taken with a personal sampler, whereby the characteristics of particulates are determined based on the particle mass collected on filters. The collected filters were examined using scanning electron microscopy (SEM), and the resulting micrographs were processed through image analysis. The complex geometry of particles was examined through the analysis of 14 parameters, of which 6 define size and 8 describe morphological characteristics. Two software programs were used for the image analysis process to gather a wide range of parameters describing particle geometry. The relationship and dependence between the geometric parameters used to describe particle shape and size were investigated using multivariate analysis methods. Through correlation analysis, principal component analysis, and cluster analysis, parameter selection and reduction were performed to provide an understanding of the particles inhaled by exposed workers, which also influences the biological response of exposed organisms and the burden on the working environment.

show abstract

Integrated assessment and optimization of dual environment and production drivers in grinding

Cited by 11 publications

References 45 publications

Study on a Novel Strategy for High-Quality Grinding Surface Based on the Coefficient of Friction

Study on a Novel Strategy for High-Quality Grinding Surface Based on the Coefficient of Friction

Enhancing the Grinding Efficiency of a Magnetite Second-Stage Mill through Ceramic Ball Optimization: From Laboratory to Industrial Applications

Investigation of the Geometric Characteristics of Inhalable Particles Emitted from the Process of Grinding Dental Restorations

Contact Info

Product

Resources

About