Method for controlling component and thermal treatment technological process of pre-hardening plastic die steel
A plastic mold steel and process technology, applied in the field of steel material manufacturing, can solve problems affecting the surface quality of plastic products, cracking, quenching deformation, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0080]Embodiment 1: Design an orthogonal test, select the heat treatment process parameters that have a significant impact on performance through the orthogonal test: quenching temperature, cooling method, and tempering temperature, as the input of the artificial neural network (different mold steels that have a significant impact on performance The heat treatment process parameters are different, and the quenching temperature, cooling method and tempering temperature are selected in this embodiment). Table 1 is the input data used for network training; Table 2 is the output data used for network training; Table 3 is the chemical composition of die steel used for network prediction and the heat treatment process parameters used for network prediction; Table 4 is the performance and parameters of network prediction. actual performance. It can be seen from Table 4 that the predicted performance is in good agreement with the actual performance. BP network and GRNN network can be ...
Embodiment 2
[0091] Embodiment 2: Orthogonal experiment is designed, and heat treatment process parameters with significant influence are selected through the orthogonal experiment: quenching temperature and cooling method, first tempering temperature, and second tempering temperature, as the input of the artificial neural network. Table 5 is the input data used for network training; Table 6 is the output data used for network training; Table 7 is the chemical composition of steel used for network prediction and the heat treatment process parameters used for network prediction; Table 8 is the performance and actual performance of network prediction performance. Figure 4 It is the contour map of the hardness of the 1050°C quenched die steel, and other performance indicators of the 1050°C quenched die steel can be drawn as a contour map. It can be seen from Table 8 that the predicted performance is in good agreement with the actual performance. BP network and GRNN network can be used to stu...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com