Pub Date : 2023-09-15DOI: 10.24874/ti.1466.03.23.05
Nay Win Khun, Pham Quang Trung, Adrian Wei YeeTan, Wen Sun, Erjia Liu, David Lee Butler
{"title":"Effects of Shot Peening Pressure on Friction and Wear of High Pressure Cold Sprayed Ti-6Al-4V Coatings Under Dry and Lubrication Conditions","authors":"Nay Win Khun, Pham Quang Trung, Adrian Wei YeeTan, Wen Sun, Erjia Liu, David Lee Butler","doi":"10.24874/ti.1466.03.23.05","DOIUrl":"https://doi.org/10.24874/ti.1466.03.23.05","url":null,"abstract":"","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135438024","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}
Pub Date : 2023-09-15DOI: 10.24874/ti.1473.04.23.06
Alexandr Gritsenko, Vladimir Shepelev, Alexandr Burtsev, Adil Shaikemelov
{"title":"Assessing the Sensitivity of the Rundown of a Turbocharger Rotor Shaft to Determine Its Technical Condition","authors":"Alexandr Gritsenko, Vladimir Shepelev, Alexandr Burtsev, Adil Shaikemelov","doi":"10.24874/ti.1473.04.23.06","DOIUrl":"https://doi.org/10.24874/ti.1473.04.23.06","url":null,"abstract":"","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135438018","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}
Pub Date : 2023-09-15DOI: 10.24874/ti.1426.12.22.06
Bharat Kumar, Shahid Saleem, M.F. Wani, Rakesh Sehgal, Sanjay Kumar
.
{"title":"Influence of Nano-Lubrication On Tribological Behavior of AZ91 Magnesium Alloy Under Fretting Condition","authors":"Bharat Kumar, Shahid Saleem, M.F. Wani, Rakesh Sehgal, Sanjay Kumar","doi":"10.24874/ti.1426.12.22.06","DOIUrl":"https://doi.org/10.24874/ti.1426.12.22.06","url":null,"abstract":".","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135438023","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}
Pub Date : 2023-09-15DOI: 10.24874/ti.1458.03.23.05
Nguyen Van Vinh, Nguyen Van Trieu, Andrey Evgenievich Balanovskiy, Astafieva Natalia Anatolievna Natalia Anatolievna
An important problem of modern materials science is to increase the strength and wear resistance of tools and various machine parts. Boriding is one of the promising methods for increasing the surface hardness and wear resistance, resistance to oxidation and corrosion of machine building parts. In this work, boride coatings were obtained using plasma doping technology. It has been established that with an increase in current strength from 120 A to 160 A, the microstructure changes from hypereutectic to hypoeutectic. The maximum hardness was recorded on the sample surface with a current of 120 A and is 1519 HV. After the sliding friction test, it was noted that the boride coating at a current of 120 A has the highest wear resistance.
{"title":"Structure and Properties of Boride Coatings Obtained by the Plasma-Arc Method","authors":"Nguyen Van Vinh, Nguyen Van Trieu, Andrey Evgenievich Balanovskiy, Astafieva Natalia Anatolievna Natalia Anatolievna","doi":"10.24874/ti.1458.03.23.05","DOIUrl":"https://doi.org/10.24874/ti.1458.03.23.05","url":null,"abstract":"An important problem of modern materials science is to increase the strength and wear resistance of tools and various machine parts. Boriding is one of the promising methods for increasing the surface hardness and wear resistance, resistance to oxidation and corrosion of machine building parts. In this work, boride coatings were obtained using plasma doping technology. It has been established that with an increase in current strength from 120 A to 160 A, the microstructure changes from hypereutectic to hypoeutectic. The maximum hardness was recorded on the sample surface with a current of 120 A and is 1519 HV. After the sliding friction test, it was noted that the boride coating at a current of 120 A has the highest wear resistance.","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135438019","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}
Pub Date : 2023-09-15DOI: 10.24874/ti.1516.06.23.08
Vladislav O. Alexenko, Dmitry G. Buslovich, Sergey V. Panin
{"title":"Wear Behavior of PEEK-Based Composites Designed for Water Lubrication Bearings","authors":"Vladislav O. Alexenko, Dmitry G. Buslovich, Sergey V. Panin","doi":"10.24874/ti.1516.06.23.08","DOIUrl":"https://doi.org/10.24874/ti.1516.06.23.08","url":null,"abstract":"","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135438027","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}
Pub Date : 2023-09-15DOI: 10.24874/ti.1491.06.23.08
Kunal Kumar Gupta, S.M. Muzakkir
In most of the gearboxes, mixed lubrication conditions prevail, and to avoid the wear of gear surfaces, oil additives like extreme pressure, anti-wear, anti-rust and antioxidant additives are used. The lubricant additives form a lubricant film on gear surfaces, minimize metal-to-metal contact and protect the surfaces. But in this process, the lubricant additives are consumed, and oil quality deteriorates causing degradation of wear-prevention lubricant functionality. The degradation of lubricant with time, even without its usage is alarming and it has been reported in the present manuscript. To observe the consequence of degraded gear-oil on gear surface, an experimental setup has been developed. The results of experiments, conducted on commercially available two-gear oils have been detailed. Three cases of single stage spur-gear pair were considered: (1) Loaded with 40 Nm torque value and operated at 1200 rpm for 198 hours duration. (2) Loaded with 50 Nm torque value and operated at 500 rpm and. (3) Accelerated conditions generated by adding 0.0025 %v of mild (36% concentration) Hydrochloric acid in the lubricant in addition to accelerated conditions specified in case 2. For the cases 2 & 3, the setup was run for 90 minutes duration. The dataset of this study includes five parameters namely time, humidity, temperature, oil quality and generated Fe debris. Machine learning techniques have been used to reduce the actual number of experiments by applying LR, DTR, KNNR, RFR, ANN and SVM in predicting the Oil degradation rate.
{"title":"Prediction of Gearbox Oil Degradation Based on Online Sensor Data and Machine Learning Algorithms","authors":"Kunal Kumar Gupta, S.M. Muzakkir","doi":"10.24874/ti.1491.06.23.08","DOIUrl":"https://doi.org/10.24874/ti.1491.06.23.08","url":null,"abstract":"In most of the gearboxes, mixed lubrication conditions prevail, and to avoid the wear of gear surfaces, oil additives like extreme pressure, anti-wear, anti-rust and antioxidant additives are used. The lubricant additives form a lubricant film on gear surfaces, minimize metal-to-metal contact and protect the surfaces. But in this process, the lubricant additives are consumed, and oil quality deteriorates causing degradation of wear-prevention lubricant functionality. The degradation of lubricant with time, even without its usage is alarming and it has been reported in the present manuscript. To observe the consequence of degraded gear-oil on gear surface, an experimental setup has been developed. The results of experiments, conducted on commercially available two-gear oils have been detailed. Three cases of single stage spur-gear pair were considered: (1) Loaded with 40 Nm torque value and operated at 1200 rpm for 198 hours duration. (2) Loaded with 50 Nm torque value and operated at 500 rpm and. (3) Accelerated conditions generated by adding 0.0025 %v of mild (36% concentration) Hydrochloric acid in the lubricant in addition to accelerated conditions specified in case 2. For the cases 2 & 3, the setup was run for 90 minutes duration. The dataset of this study includes five parameters namely time, humidity, temperature, oil quality and generated Fe debris. Machine learning techniques have been used to reduce the actual number of experiments by applying LR, DTR, KNNR, RFR, ANN and SVM in predicting the Oil degradation rate.","PeriodicalId":23320,"journal":{"name":"Tribology in Industry","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135438016","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}
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