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Tribology in Industry最新文献

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Investigations on Contact Pressures and Durability of Metal-Polymer Dry Sliding Bearings with Miniature, Small and Large Diameters 小型、小型和大型金属聚合物干式滑动轴承的接触压力和耐久性研究
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1313.05.22.09
M. Chernets, A. Kornienko, Yu. M. Chernets’
{"title":"Investigations on Contact Pressures and Durability of Metal-Polymer Dry Sliding Bearings with Miniature, Small and Large Diameters","authors":"M. Chernets, A. Kornienko, Yu. M. Chernets’","doi":"10.24874/ti.1313.05.22.09","DOIUrl":"https://doi.org/10.24874/ti.1313.05.22.09","url":null,"abstract":"","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49405746","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
TIG Welding Methods of Repairing Steel Components with Stainless Steel Coatings 不锈钢涂层修复钢构件的TIG焊方法
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1177.08.21.04
M. N. Muigai, F. Mwema, E. Akinlabi, T. Jen, O. Fatoba, T. P. Leso, J. Obiko, Percy Mphasha
{"title":"TIG Welding Methods of Repairing Steel Components with Stainless Steel Coatings","authors":"M. N. Muigai, F. Mwema, E. Akinlabi, T. Jen, O. Fatoba, T. P. Leso, J. Obiko, Percy Mphasha","doi":"10.24874/ti.1177.08.21.04","DOIUrl":"https://doi.org/10.24874/ti.1177.08.21.04","url":null,"abstract":"","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48639521","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
Load Capacity Comparison of Different Wet Multi-Plate Clutches with Sinter Friction Lining with Regard to Spontaneous Damage Behavior 烧结摩擦衬里不同湿式多片离合器承载能力的自损伤比较
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1256.02.22.04
T. Schneider, A. B. Bedrikow, K. Völkel, H. Pflaum, K. Stahl
{"title":"Load Capacity Comparison of Different Wet Multi-Plate Clutches with Sinter Friction Lining with Regard to Spontaneous Damage Behavior","authors":"T. Schneider, A. B. Bedrikow, K. Völkel, H. Pflaum, K. Stahl","doi":"10.24874/ti.1256.02.22.04","DOIUrl":"https://doi.org/10.24874/ti.1256.02.22.04","url":null,"abstract":"Wet multi-plate clutches are safety-critical components of drive trains. Failure and damage must therefore be strongly avoided. In contrast to long-term damage, spontaneous damage and failures are difficult to predict. Different authors have already theorized the influence of different parameters on the carrying capacity. This paper extends the analysis of these effects by conducting experimental investigations. Furthermore, an evaluation method that allows to compare different clutch systems regarding their load carrying capacity is presented. Clutch systems with variation of oil flow, plate thickness, coating and groove pattern were tested, and their results analyzed. Statistical methods were used to consider the variance of the measurements. Lastly, recommendations are formulated for the development of clutch systems concerning the load carrying capacity. Strong trends can be seen for the influences of the thickness of the steel plate and oil flow rate, but these can only be statistically substantiated for the variation of the oil flow rate. For the variation of the coating and the grooving, only slight to no differences are discernible.","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43730441","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: 2
Modeling and Prediction of Surface Roughness in the End Milling Process using Multiple Regression Analysis and Artificial Neural Network 基于多元回归分析和人工神经网络的立铣削表面粗糙度建模与预测
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1368.07.22.09
Strahinja Ðurovic, Jelena Stanojković, D. Lazarević, Bogdan Ćirković, Aleksa Lazarvic, D. Džunić, Ž. Šarkočević
{"title":"Modeling and Prediction of Surface Roughness in the End Milling Process using Multiple Regression Analysis and Artificial Neural Network","authors":"Strahinja Ðurovic, Jelena Stanojković, D. Lazarević, Bogdan Ćirković, Aleksa Lazarvic, D. Džunić, Ž. Šarkočević","doi":"10.24874/ti.1368.07.22.09","DOIUrl":"https://doi.org/10.24874/ti.1368.07.22.09","url":null,"abstract":"In recent years, trends have been towards modeling machine processing using artificial intelligence. Artificial neural network (ANN) and multiple regression analysis are methods used to model and optimize the performance of manufacturing technologies. ANN and multiple regression analysis show high reliability in the prediction and optimization of machining processes. In this paper, machining parameters such as spindle speed, feed rate and depth of cut were used in end milling process to minimize surface roughness. The influence of the parameters on the surface roughness was investigated using an artificial neural network and multiple regression analysis, and results are compared with the measured results","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44134969","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
Characteristics and Abrasive Wear Resistance of Plasma Alloyed Layers Based on Tin Bronze and Chromium Carbide 锡青铜和碳化铬等离子合金层的特性及耐磨性
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1274.03.22.06
A. E. Balanovskiy, Nguyen Van Trieu, N. Vinh, Astafieva Natalia Anatolievna
{"title":"Characteristics and Abrasive Wear Resistance of Plasma Alloyed Layers Based on Tin Bronze and Chromium Carbide","authors":"A. E. Balanovskiy, Nguyen Van Trieu, N. Vinh, Astafieva Natalia Anatolievna","doi":"10.24874/ti.1274.03.22.06","DOIUrl":"https://doi.org/10.24874/ti.1274.03.22.06","url":null,"abstract":"This paper presents a study of the characteristics and resistance to abrasive wear of surface alloyed layers during plasma heating of powder pre-coating of a mixture containing tin bronze and chromium carbide. It has been established that, depending on the composition of the mixture, the thickness of the coating, the processing mode, the resulting layers differ in structure, chemical and phase composition. The addition of chromium carbide with a mass fraction of 20% makes it possible to increase the microhardness of the alloyed layer based on tin bronze up to 700 HV with the formation of a martensitic structure. Tests for abrasive wear were carried out at a load of 5, 20, 50 N and with codirectional rotation of the holder to the abrasive wheel. The obtained results showed that the wear resistance of the Fe-Cu-Sn and Fe-Cr-C-Cu-Sn alloyed layers is higher compared to the Cu-Sn layer. In particular, the Fe-Cr-C-Cu-Sn layer is the best. © 2022 Published by Faculty of Engineering","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48152433","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
Experimental Investigations on Temperature and Frictional Behaviors of Textured Journal Bearings 变形径向滑动轴承温度和摩擦特性的实验研究
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1278.03.22.07
S. Kango, N. Sharma, Rajesh Sharma, R. Pandey
{"title":"Experimental Investigations on Temperature and Frictional Behaviors of Textured Journal Bearings","authors":"S. Kango, N. Sharma, Rajesh Sharma, R. Pandey","doi":"10.24874/ti.1278.03.22.07","DOIUrl":"https://doi.org/10.24874/ti.1278.03.22.07","url":null,"abstract":"","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45255839","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: 1
Wheel Squeal Noise in Rail Transport: The Effect of Friction Modifier Composition 轨道交通车轮噪声:摩擦改进剂成分的影响
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1211.11.21.02
V. Navrátil, R. Galas, M. Klapka, Daniel Kvarda, M. Omasta, Lu-bing Shi, H. Ding, Wen-jian Wang, I. Křupka, M. Hartl
{"title":"Wheel Squeal Noise in Rail Transport: The Effect of Friction Modifier Composition","authors":"V. Navrátil, R. Galas, M. Klapka, Daniel Kvarda, M. Omasta, Lu-bing Shi, H. Ding, Wen-jian Wang, I. Křupka, M. Hartl","doi":"10.24874/ti.1211.11.21.02","DOIUrl":"https://doi.org/10.24874/ti.1211.11.21.02","url":null,"abstract":"","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42742041","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: 2
Dry Sliding Friction and Wear Behavior of LM13/Zircon/Carbon (HMMC’s): An Experimental, Statistical and Artificial Neural Network Approach LM13/锆石/碳（HMMC）干滑动摩擦磨损行为的实验、统计和人工神经网络方法
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1223.11.21.03
Y. P. Ravitej, C. B. Mohan, M. G. Ananthaprasad
{"title":"Dry Sliding Friction and Wear Behavior of LM13/Zircon/Carbon (HMMC’s): An Experimental, Statistical and Artificial Neural Network Approach","authors":"Y. P. Ravitej, C. B. Mohan, M. G. Ananthaprasad","doi":"10.24874/ti.1223.11.21.03","DOIUrl":"https://doi.org/10.24874/ti.1223.11.21.03","url":null,"abstract":"done using Minitab software where SN ratio, probability, ANOVA, and a regression model are analyzed. Obtained experimental wear properties are validated using artificial neural networks (ANN) by training the neurons where good agreement is obtained (R 2 = 0.98). Present research encapsulates the effect of different wear parameters like applied load, sliding speed, and sliding distance on the wear rate of LM13/zircon/C (hybrid metal matrix composites), and experimental wear results are correlated with artificial neural network (ANN) by training the algorithm.","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47146739","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: 1
A Fundamental Investigation of the Tribological Performance of Mahua-Castor Blend in a Four-Ball Tester 用四球试验机对马化铸混合料摩擦学性能的初步研究
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1244.01.22.05
B. Suresha, A. Padmanabha, A. Ramesh, Ishwara Prasanna Shirankallu, Shiva Charan Mysore Ramalingappa
{"title":"A Fundamental Investigation of the Tribological Performance of Mahua-Castor Blend in a Four-Ball Tester","authors":"B. Suresha, A. Padmanabha, A. Ramesh, Ishwara Prasanna Shirankallu, Shiva Charan Mysore Ramalingappa","doi":"10.24874/ti.1244.01.22.05","DOIUrl":"https://doi.org/10.24874/ti.1244.01.22.05","url":null,"abstract":"","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42025354","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: 1
Methodical Approach to Using Acoustic Emission Method for Tribosystem Monitoring 声发射法用于摩擦同步器监测的方法探讨
Tribology in Industry Pub Date : 2022-09-15 DOI: 10.24874/ti.1298.05.22.08
Victor Vojtov, Katherine Fenenko, A. Voitov, A. Hrynkiv, O. Lyashuk, Y. Vovk
{"title":"Methodical Approach to Using Acoustic Emission Method for Tribosystem Monitoring","authors":"Victor Vojtov, Katherine Fenenko, A. Voitov, A. Hrynkiv, O. Lyashuk, Y. Vovk","doi":"10.24874/ti.1298.05.22.08","DOIUrl":"https://doi.org/10.24874/ti.1298.05.22.08","url":null,"abstract":"and identify surface processes during wear","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47808206","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: 1
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