Mathematical Models in Engineering最新文献

筛选
英文 中文
Research on transient heat transfer performance of disc brakes for mining motor vehicle 矿用机动车辆盘式制动器瞬态传热性能研究
Mathematical Models in Engineering Pub Date : 2018-06-30 DOI: 10.21595/MME.2018.19738
Sen Zhang, Yanan Qin, Yiguang Yin
{"title":"Research on transient heat transfer performance of disc brakes for mining motor vehicle","authors":"Sen Zhang, Yanan Qin, Yiguang Yin","doi":"10.21595/MME.2018.19738","DOIUrl":"https://doi.org/10.21595/MME.2018.19738","url":null,"abstract":"The type of disc brake has excellent efficiency and strong heat dissipation, which are beneficial to the transport capacity for mining motor vehicles. To ensure the reliability of the brake, the two-dimensional heat transfer differential equation model of disc brake is established, considering the dynamic change of convective heat transfer coefficient. The heat boundary conditions are established through the characteristics of brake disc structure and air condition, which is more accuracy than the traditional simplified method. Based on the PDE module in MATLAB, the mathematical model of heat transfer is solved and the transient temperature field is obtained. The calculation results are verified by the temperature field of the brake disc Link3900 NVH test platform. The results show that the research scheme has high computation accuracy, and can provide important basis, new ideas and advanced methods for the brake of mining motor vehicle in related fields.","PeriodicalId":32958,"journal":{"name":"Mathematical Models in Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43541901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on the thermal stress characteristics of self-cooled brake discs of belt conveyors 带式输送机自冷制动盘热应力特性研究
Mathematical Models in Engineering Pub Date : 2018-06-30 DOI: 10.21595/MME.2018.19848
Yanan Qin, Kai Zang, Changhao Cheng
{"title":"Research on the thermal stress characteristics of self-cooled brake discs of belt conveyors","authors":"Yanan Qin, Kai Zang, Changhao Cheng","doi":"10.21595/MME.2018.19848","DOIUrl":"https://doi.org/10.21595/MME.2018.19848","url":null,"abstract":"Equipped with rib groove structure, the self-cooled brakes disc enjoys an excellent heat dispersion and are applied in the belt conveyors with good effect. According to Hooke’s Law, the steady-state thermo-mechanical coupling expression of the brake disc under two-dimensional conditions is deduced, and the solving method of the displacement differential equation is given. Based on the ABAQUS, thermo-mechanical coupling finite element model for self-cooled disc brakes is established and for the structure and load characteristics of the brake discs, three different azimuth paths are defined and the transient thermal stress variations under different paths are obtained. Through the thermal cycling tests of self-cooling brake disc samples at 300 °C, 400 °C, and 500 °C under the condition of heat and water-cooling for 800 times respectively and analyzing the metallographic structure with electron probe microscope, the results have showed that a large amount of graphitized tissue can be precipitated under the high circulating temperature and heating cracks can induced.","PeriodicalId":32958,"journal":{"name":"Mathematical Models in Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49030148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on performance prediction and optimization of road header based on regression model 基于回归模型的掘进机性能预测与优化研究
Mathematical Models in Engineering Pub Date : 2018-06-30 DOI: 10.21595/MME.2018.19959
Yanan Qin, Yongyue Yuan
{"title":"Research on performance prediction and optimization of road header based on regression model","authors":"Yanan Qin, Yongyue Yuan","doi":"10.21595/MME.2018.19959","DOIUrl":"https://doi.org/10.21595/MME.2018.19959","url":null,"abstract":"The drilling rate is one of the key parameters to measure the working performance of the road header. Set the drilling speed as the target variable, the quadratic regression model is established by using the master control parameters, such as cutter head torque, jack thrust, cutter head speed, and screw speed as design variables, then the prediction function of the drilling speed is obtained. The error of the regression function is determined by the fitting coefficient of determination, the modified coefficient of determination and the root mean square error, then the effect of different sample data mining methods on the fitting accuracy is studied. An optimization mathematical model is constructed. The quadratic programming algorithm is applied to solve the extreme values under different sample numbers, therefore, the tunneling performance is effectively improved. The research method has high computational efficiency, and the theoretical results are reliable.","PeriodicalId":32958,"journal":{"name":"Mathematical Models in Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42691052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automatic semantic segmentation and classification of remote sensing data for agriculture 农业遥感数据的语义自动分割与分类
Mathematical Models in Engineering Pub Date : 2018-06-30 DOI: 10.21595/MME.2018.19840
Jagannath K. Jadhav, R. Singh
{"title":"Automatic semantic segmentation and classification of remote sensing data for agriculture","authors":"Jagannath K. Jadhav, R. Singh","doi":"10.21595/MME.2018.19840","DOIUrl":"https://doi.org/10.21595/MME.2018.19840","url":null,"abstract":"Automatic semantic segmentation has expected increasing interest for researchers in recent years on multispectral remote sensing (RS) system. The agriculture supports 58 % of the population, in which 51 % of geographical area is under cultivation. Furthermore, the RS in agriculture can be used for identification, area estimation and monitoring, crop detection, soil mapping, crop yield modelling and production modelling etc. The RS images are high resolution images which can be used for agricultural and land cover classifications. Due to its high dimensional feature space, the conventional feature extraction techniques represent a progress of issues when handling huge size information e.g., computational cost, processing capacity and storage load. In order to overcome the existing drawback, we propose an automatic semantic segmentation without losing the significant data. In this paper, we use SOMs for segmentation purpose. Moreover, we proposed the particle swarm optimization technique (PSO) algorithm for finding cluster boundaries directly from the SOMs. On the other hand, we propose the deep residual network to achieve faster training process. Deep Residual Networks have been proved to be a very successful model on RS image classification. The main aim of this work is to achieve the overall accuracy greater than 85 % (OA > 85 %). So, we use a convolutional neural network (CNN), which outperforms better classification of certain crop types and yielding the target accuracies more than 85 % for all major crops. Furthermore, the proposed methods achieve good segmentation and classification accuracy than existing methods. The simulation results are further presented to show the performance of the proposed method applied to synthetic and real-world datasets.","PeriodicalId":32958,"journal":{"name":"Mathematical Models in Engineering","volume":"6 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41256491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信