scholarly journals Research on used power battery cutting parameters optimization for low carbon and high efficiency

2021 ◽  
Vol 2076 (1) ◽  
pp. 012072
Author(s):  
Jia Chen ◽  
Zhigang Jiang
Keyword(s):  
Process Parameters ◽  
Carbon Emissions ◽  
Optimization Model ◽  
High Efficiency ◽  
Parameters Optimization ◽  
Cutting Process ◽  
Low Carbon ◽  
Safety Requirements ◽  
Power Battery ◽  
Cutting Parameters Optimization

Abstract The cutting process of used power battery is a key step for recycling its materials, and it is energy-intensive and high carbon emission process. To reduce the carbon emissions of the used power battery cutting process, the relationship between the carbon emissions of the cutting process and its process parameters was analyzed based on the safety requirements. Next, the multi-objective optimization model for cutting process parameters is established with the goal of minimum carbon emissions and shortest cutting time, which takes into account the constraints of the cutting device’s and the safety requirements. For the strong nonlinear characteristics of the optimization model, an improved PSO algorithm is used to solve the model. A case study of cutting a certain type of used power battery is illustrated to verify the validity of the established model.

scholarly journals Optimization of the Cutting Process Parameters to Ensure High Efficiency of Drilling Tunnels and Use the Technical Potential of the Boom-Type Roadheader

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6597
Author(s):  
Piotr Cheluszka
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Automatic Control ◽  
Automatic Control System ◽  
Process Parameters ◽  
High Efficiency ◽  
Rock Cutting ◽  
High Energy ◽  
Cutting Process ◽  
Underground Mines

This paper deals with the automation of the rock cutting process with roadheaders used widely in civil engineering for drilling roadways in underground mines and tunnels. Although there has been intensive technical development, roadheaders are still manually controlled. Manual control does not allow optimizing the values of the cutting process parameters, which often results in low mining efficiency, especially in the case of hard rocks, as well as high energy consumption and significant dynamic overloading of the roadheader. As part of theoretical and experimental research, an automatic control system was designed for the boom-type roadheader and an algorithm was developed for the optimal control of the cutting process parameters. Control criteria have been formulated, based on which the current values of the cutting process parameters are worked out using the information on the dynamic load state of the roadheader. The paper presents selected results of numerical tests conducted on roadheader dynamics, which simulated the automatic control system operation of the heading face cutting process of drilled roadway or tunnel. These tests were intended to analyze the behavior of the investigated object during simulated rock cutting in automatic mode. The results confirmed the possibility of a significant reduction in mining energy consumption.

Study of Low Carbon Low Alloy Steel Annealing Process Parameters Optimization

2013 ◽  
Vol 631-632 ◽  
pp. 649-659
Author(s):  
Mao Yu Zhao ◽  
Qian Wang Chen
Keyword(s):  
Yield Strength ◽  
Alloy Steel ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Annealing Process ◽  
Parameters Optimization ◽  
Grey Theory ◽  
Low Carbon ◽  
Low Alloy Steel ◽  
Sem Images

A suitable match of annealing process parameters is critical for obtaining the fine microstructure of material. Low carbon low alloy steel (20CrMnTi) was heated for various durations near Ac temperature to achieve fine pearlite and ferrite grains. Annealing temperature and time were used as independent variables, and material property data were acquired by orthogonal experiment under intercritical annealing followed by subcritical annealing process (IASAP). The weights of plasticity (hardness, yield strength, section shrinkage, and elongation) of annealing material were calculated by analytic hierarchy process, and then the process parameters were optimized by using the grey theory system. The results observed by SEM images show that the optimized material microstructure consists of refining and distributing uniformly ferrite-pearlite grains, and smaller lamellar cementites. Morphologies on tension fracture surface of the optimized material indicates that the numbers of dimple fracture show more finer toughness obviously comparing with other annealing materials. Moreover, the yield strength value of the optimized material decreases apparently measured by tensile test. Thus, the new optimized strategy is accurate and feasible.

Study on Optimizing the Process Parameters for the Band Saw Equipment

2013 ◽  
Vol 328 ◽  
pp. 208-212 ◽  
Author(s):  
Guo Jin Chen ◽  
Jing Ni ◽  
Ting Ting Liu ◽  
Hui Peng Chen ◽  
You Ping Gong
Keyword(s):  
Control System ◽  
Process Parameters ◽  
Digital Control ◽  
Optimization Design ◽  
Parameters Optimization ◽  
Numerical Control ◽  
Cutting Process ◽  
Processing Accuracy ◽  
Band Saw ◽  
Sawing Process

Aiming at the lack of the mature process parameters optimization design and the dedicated digital control system for the band saw equipment at home, the dynamic model of the sawing process is established. The correlativity of the cutting quality with the cutting process parameters is analyzed. The optimization design of the cutting process parameters and the dedicated digital control strategy for the appropriate band saw equipment are studied to form the independent intellectual property rights on the parameters optimization technology for the sawing equipment process and the numerical control system based on the technology. That provides the technical support for improving the processing accuracy, efficiency, and reliability of the band saw equipment.

Cutting Parameters Optimization of the Matching of Lengthened Shrink-Fit Holder and Cutter in High Speed Milling

2011 ◽  
Vol 188 ◽  
pp. 622-628
Author(s):  
Hou Ming Zhou ◽  
Cheng Yong Wang ◽  
Jian Xin Deng ◽  
Y.X. Song
Keyword(s):  
Optimization Model ◽  
High Speed ◽  
Optimization Problem ◽  
Fuzzy Optimization ◽  
Optimization Theory ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
High Speed Milling ◽  
Shrink Fit ◽  
Cutting Parameters Optimization

Taking the machining efficiency and surface quality as the optimization objective, a multi-objective and multi-constrained optimization model of the high-speed milling parameters based on the matching of lengthened shrink-fit holder (LSFH) and cutter was established using fuzzy optimization theory. In this model, the contact performance, grip rigidity and dynamic characteristics of the matching of LSFH and cutter were taken into account. Subsequently, the optimization problem of the fuzzy domain was transformed into the optimization problem of the ordinary domain using the Optimal Level Cut Set Method. The optimization results show that the processing time reduced by 5.95% and 8.54%, the surface roughness decreased by 5.42% and 6.85% compared to conventional optimization model and the parameters recommended by the tool manual respectively. The effectiveness and practicality of this optimization method was further proved by processing examples.

scholarly journals The Research on Low Carbon Logistics Routing Optimization Based on DNA-Ant Colony Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Liyi Zhang ◽  
Ying Wang ◽  
Teng Fei ◽  
Hongwei Ren
Keyword(s):  
Carbon Emissions ◽  
Optimization Model ◽  
Ant Colony Algorithm ◽  
Optimization Problems ◽  
Ant Colony ◽  
Path Optimization ◽  
Low Carbon ◽  
Economic Activities ◽  
Logistics Industry ◽  
Routing Optimization

As the energy conservation and emission reduction and sustainable development have become the hot topics in the world, low carbon issues catch more and more attention. Logistics, which is one of the important economic activities, plays a crucial role in the low carbon development. Logistics leads to some significant issues about consuming energy and carbon emissions. Therefore, reducing energy consumption and carbon emissions has become the inevitable trend for logistics industry. Low carbon logistics is introduced in these situations. In this paper, from the microcosmic aspects, we will bring the low carbon idea in the path optimization issues and change the amount of carbon emissions into carbon emissions cost to establish the path optimization model based on the optimization objectives of the lowest cost of carbon emissions. According to different levels of air pollution, we will establish the double objectives path optimization model with the consideration of carbon emissions cost and economy cost. Use DNA-ant colony algorithm to optimize and simulate the model. The simulation indicates that DNA-ant colony algorithm could find a more reasonable solution for low carbon logistics path optimization problems.

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