Simulation And Optimization Of Parameters Considering Quality And Energy Consumption With Tile Polishing Process

The stoneware tile polishing machine is the most important processing equipment in the entire tile polishing production line, the surface of stoneware tile after polishing has the characteristic of smooth and light. The polishing quality of stoneware tile depends mainly on the setting of parameters of the polishing machine, and the phenomenon of leaking polishing or re-polishing is common in the production process,due to the improper setting of parameters.At the same time stoneware tile polishing machine is a high energy consumption equipment, accounted for 30%-40% of the cost of power consumption,and the current formulation of process parameter in stoneware tile polishing machine mostly bases on some problems,such as how to improve the processing quality of tile surface or improve the production efficiency of the polishing, lacking of considerations of energy consumption process, resulting in high energy consumption and low energy utilization rate.Energy saving has been an important topic in the field of tile production enterprises,the process parameters is the key to control production quality and energy consumption,energy saving way which based on parameter optimization to meet best quality and minimum energy consumption is not only save costs and increase revenue for ceramic enterprises, but also provide a feasible technology foundation of energy saving and emission reduction in our country.Based on a new type of oscillating ceramic polishing machine as the prototype,this thesis researched on the relationship between the quality and energy consumption in the process of tile polishing. By establishing with speed of the polishing line, rotational speed of the abrasive disk, pressure of abrasive disk and frequency of the lateral oscillation forward as control variables of the polishing quality model and processing energy consumption model, this thesis structured the process parameter optimization model of single objective of optimal quality and multi-objective of both quality and energy consumption, then using the genetic algorithm to solve it, to analyze the differences between the two targets.The main research contents of this thesis are as follows:1.This thesis introduced the main components of stoneware tile polishing machine and their working principle, including tiles transmission parts, the lateral oscillation components, the abrasive disk component. Then analysed the material characteristic of grinding block,and introduced the functions and characteristics of abrasive block with different particle size and microstructure in the polishing process.2.From the processing mechanism of polishing machine, a kinematics equation of any point in grinding block was constructed; Based on the theory of indentation fracture mechanics this thesis studied the relationship between different particle sizes and vertical grinding depth of particle, to adapt to the actual situation of abrasive pressing into tile surface under certain pressure. Combining kinematics equation and the theory of grinding depth, the quality of the mode with tile surface height variance as evaluation index is established; Simulation analysis was carried out on the model using the MATLAB software, to discusses the influence of different motion parameters on the grinding quality.3.According to the theory of indentation fracture mechanics, this thesis analysed the feature size of transverse crack produced by the grinding grain under different pressure, then calculated the removal volume of tile surface in polishing process; According to the brittle material removal mechanism, this thesis studyed energy consumption of units removal volume,then combining with the previous equation of motion and the energy consumption per unit volume, energy consumption model with the sum of tile surface energy consumption as the evaluation index is established. Similarly, the influence of polishing parameters on the energy consumption of polishing process is analyzed by MATLAB software.4.To achieve the goal of controlling polishing quality and energy consumption, meetting the requirement of high efficiency grinding conditions at the same time, the optimal model of single objective of the best grinding quality and the optimal model of multi-objective of both quality and energy consumption were constructed respectively with grinding parameters as variables. And the genetic algorithm was applied to optimise these models, then analysed the solution sets comparatively, providing guiding significance to the actual production and processing.