We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
PREDICTION AND ANALYSIS OF ENERGY CONSUMPTION OF CNC MACHINE TOOLS AND RESEARCH ON KEY ENERGY SAVING TECHNOLOGIES.
- Authors
Xinzhu Wu
- Abstract
Through the research on the prediction and analysis of energy consumption of CNC machine tools and the key technology of energy saving, in this study, the current application status of machine tools and the shortcomings and drawbacks of energy saving prediction is analyzed and realized, and new prediction and energy saving technology is put forward to solve the problem of large energy consumption loss. Firstly, the influence of cutting parameters, workpiece to be processed, cutting tools and machine tools on the energy consumption of machine tools is analyzed and studied. Then, from the composition of energy consumption mechanism, the modeling analysis of energy consumption of CNC machine tools is carried out. After that, the prediction method of machine energy consumption based on SVM is proposed. In the aspect of energy consumption prediction, there is little difference between the curve results of actual value and predicted value. Moreover, the difference between the two values is within the allowable range, and the predicted value is close to the actual value. In terms of energy saving, when the cutting speed, feed per tooth, cutting depth and width are 114, 0.07, 1.74 and 9 respectively, the energy consumption value of the machine tool under the combination of these parameters can reach the minimum, and the energy consumption value is 1.582. In conclusion, the energy consumption prediction model of CNC machine tools based on support vector machine can effectively predict the energy consumption of machine tools, and its predicted value is close to the actual value, which has certain advantages and can be widely used in energy saving prediction. The optimization model of milling parameters based on genetic algorithm can effectively save energy, and reduce energy consumption as well as cost.
- Subjects
NUMERICAL control of machine tools; ENERGY consumption; SUPPORT vector machines; CUTTING tools; SPINDLES (Machine tools); CUTTING machines; MACHINE tools
- Publication
Academic Journal of Manufacturing Engineering, 2019, Vol 17, Issue 4, p123
- ISSN
1583-7904
- Publication type
Article