Optimization Issues of a Hammer Mill Working Process Using Statistical Modelling

Paraschiv, G.; Moiceanu, Georgiana; Voicu, Gheorghe; Cârdei, Petru; Dincă, M.; Tudor, Paula

doi:10.3390/su13020973

Cited by 9 publications

(6 citation statements)

References 42 publications

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“…The above relations are in line with the results for other mills presented in studies [16,56,62,[72][73][74][75][76]. The relation between power consumption and total increase in disc angular speed is a result of a simple dependence that power is the product of torque and angular speed multiplication, which for idle run of the multi-disc mill (without batch) is a linear dependance and is more than half of the total power requirement, even for a batch loaded mill as was presented in [77].…”

Section: Discussionsupporting

confidence: 91%

Study of the Relationships between Multi-Hole, Multi-Disc Mill Performance Parameters and Comminution Indicators

et al. 2021

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The knowledge of a grinder structure, its performance parameters and characteristics of biomaterials breakage are crucial for this research whose aim is to determine the dependencies between performance parameters and comminution indicators. The aim of this study is to investigate the relationships between multi-disc mill performance parameters such as discs angular speed, batch dosing speed and comminution characteristics: power consumption, specific energy consumption, throughput and size reduction ratio. To achieve these goals, an experiment was conducted on a five-disc mill with a special monitoring system. The research program was established, with disc angular speed at different configurations and different batch dosing speeds. The results show that power consumption, specific energy consumption and size reduction ratio depend on the total increase in angular speed of discs SΔω in such a way that an increase in SΔω causes an increase in the abovementioned comminution indicators. In turn, an increase in batch dosing speed W causes an increase in throughput. The fitting curves of comminution indicators in dependence of selected performance parameters are also presented in this study.

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Section: Discussionsupporting

confidence: 91%

Study of the Relationships between Multi-Hole, Multi-Disc Mill Performance Parameters and Comminution Indicators

et al. 2021

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“…A total of 56 datasets were collected and randomly divided into training (40 datasets: 70%), validation (8 datasets: 15%), and training (8 datasets: 15%) datasets. For the milling study, 56 experimental datasets are considered more than enough [17][18][19]. The used datasets split% is common in the literature [7,20,21].…”

Section: Methods-ann Model Predicting Percentage Passing Cumulativementioning

confidence: 99%

Prediction of Particle Size Distribution of Mill Products Using Artificial Neural Networks

Otsuki

Jang

2022

ChemEngineering

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High energy consumption in size reduction operations is one of the most significant issues concerning the sustainability of raw material beneficiation. Thus, process optimization should be done to reduce energy consumption. This study aimed to investigate the applicability of artificial neural networks (ANNs) to predict the particle size distributions (PSDs) of mill products. PSD is one of the key sources of information after milling since it significantly affects the subsequent beneficiation processes. Thus, precise PSD prediction can contribute to process optimization and energy consumption reduction by avoiding over-grinding. In this study, coal particles (−2 mm) were ground with a rod mill under different conditions, and their PSDs were measured. The variables studied included volume% (vol.%) of feed (coal particle), vol.% rod load, and grinding time. Our supervised ANN models were developed to predict PSDs and trained by experimental data sets. The trained models were verified with the other experimental data sets. The results showed that the PSDs predicted by ANN fitted very well with the experimental data after the training. Root mean squared error (RMSE) was calculated for each milling condition, with results between 0.165 and 0.965. Also, the developed ANN models can predict the PSDs of ground products under different milling conditions (i.e., vol.% feed, vol.% rod load, and grinding time). The results confirmed the applicability of ANNs to predict PSD and, thus the potential contribution to reducing energy consumption by optimizing the grinding conditions.

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“…Tekgular [7] analysed in his paper hammer shredders during the shredding of grain products, but in particular new screen solutions comparing round holes with longitudinal holes were analysed. Similar studies were conducted by Paraschiv [8], where the performance and design parameters of hammer shredders for different hammer design solutions and screen holes were analysed. From the analysis of the literature, the topic of the energy demand of the shredding process of grain material is noted worldwide, and hammer shredders are the most common design in the implementation of the industrial grain milling process.…”

Section: Introductionmentioning

confidence: 86%

Studies of the Effect of the Shredder Design on the Material Circulation Rate in the Shredding Chamber and Its Unit Load

Zastempowski,

Bochat,

Walentyn

2023

Adv. Sci. Technol. Res. J.

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In this paper, the research procedure is presented aiming at determining the impact of selected features and design parameters of the working unit of the hammer shredder on the rate of material circulation in the shredding chamber and its unit load. The addressed issues are new and very relevant, due to their scientific and utilitarian significance.In the available literature it is not possible to find answers to the research problems formulated in the paper. For the purpose of carrying out the work, a real-scale test bed was developed and constructed, where a hammer shredder equipped with a traditional rotor design with hammers in the shape of rectangular plates and a hammer shredder equipped with a new, original rotor design with hammers in the shape of a circular section were tested. The research was conducted while grinding granular material in the form of barley grain (spring Antek). Following the analysis of the experimental results, it was concluded that the new design solution of the hammer shredder rotor is more effective than the commonly used standard design solution and may bring significant economic and technological advantages. This is due to the fact that the new design forces the lower rate of material circulation in the shredding chamber and contributes to more efficient operation of the hammer shredder.

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Optimization Issues of a Hammer Mill Working Process Using Statistical Modelling

Cited by 9 publications

References 42 publications

Study of the Relationships between Multi-Hole, Multi-Disc Mill Performance Parameters and Comminution Indicators

Study of the Relationships between Multi-Hole, Multi-Disc Mill Performance Parameters and Comminution Indicators

Prediction of Particle Size Distribution of Mill Products Using Artificial Neural Networks

Studies of the Effect of the Shredder Design on the Material Circulation Rate in the Shredding Chamber and Its Unit Load

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