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1

WAKAMATSU, Yasushi, Kiyoshi KAKUTA, and Hideo OGURA. "Wear Test Combining Simulated Occiusal Wear and Toothbrush Wear." Dental Materials Journal 22, no. 3 (2003): 383–96. http://dx.doi.org/10.4012/dmj.22.383.

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2

Jiang, Ya Nan, Wei Hua Zhang, and Dong Li Song. "Study on the Law of Wheel Wear Based on Copula." Applied Mechanics and Materials 427-429 (September 2013): 246–51. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.246.

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The law of wheel wear is the basis for making turning repair cycle, and is one of the most important guarantees for the safe and stable running of train. A statistical analysis of individual wheel wear parameter was carried out based on wheel profile data of CRH2. The change law of individual wear parameter with mileage showed that wear process of wheel could be divided into two periods: the run-in period and the stable wear period. The paper has realized to research on the correlation between nominal wheel diameter abrasion value and wheel flange thickness variation based on Copula, too. Frank Copula was selected to describe correlation of the two wear parameters, the correlation index (α) of Frank Copula was estimated and the joint distribution function considering dependence was given. The value of α indicated that there was a weak positive correlation between the two wears, which can be ignored for calculating the accumulative failure rate of wheel wear. So the two wear parameters can be regarded as independent random variables during failure analysis of wheel wear.
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3

ADACHI, Koshi, Koji KATO, and Ning CHEN. "Wear Map of Ceramics. 1st Report. Classification of Wear Mode-Mild Wear/Severe Wear." Transactions of the Japan Society of Mechanical Engineers Series C 63, no. 609 (1997): 1718–26. http://dx.doi.org/10.1299/kikaic.63.1718.

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4

Williams, John A. "Wear and wear particles—some fundamentals." Tribology International 38, no. 10 (October 2005): 863–70. http://dx.doi.org/10.1016/j.triboint.2005.03.007.

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5

Woydt, M., A. Skopp, I. Dörfel, and K. Witke. "Wear engineering oxides/anti-wear oxides." Wear 218, no. 1 (June 1998): 84–95. http://dx.doi.org/10.1016/s0043-1648(98)00181-1.

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6

Wilson, R. D., and J. A. Hawk. "Impeller wear impact-abrasive wear test." Wear 225-229 (April 1999): 1248–57. http://dx.doi.org/10.1016/s0043-1648(99)00046-0.

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7

OKABE, HEIHACHIRO. "Friction and wear. Friction, wear, lubrication." NIPPON GOMU KYOKAISHI 61, no. 5 (1988): 307–14. http://dx.doi.org/10.2324/gomu.61.307.

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8

Ravikiran, A. "Wear Mechanism Based on Wear Anisotropy." Tribology Transactions 43, no. 2 (January 2000): 287–92. http://dx.doi.org/10.1080/10402000008982342.

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9

Kato, Koji. "Micro-mechanisms of wear — wear modes." Wear 153, no. 1 (March 1992): 277–95. http://dx.doi.org/10.1016/0043-1648(92)90274-c.

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10

Mishina, Hiroshi, and Alan Hase. "Wear equation for adhesive wear established through elementary process of wear." Wear 308, no. 1-2 (November 2013): 186–92. http://dx.doi.org/10.1016/j.wear.2013.06.016.

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11

Stefaniv, B. V. "Investigation of wear resistance of protective coatings under conditions of hydroabrasive wear." Paton Welding Journal 2016, no. 9 (September 28, 2016): 26–29. http://dx.doi.org/10.15407/tpwj2016.09.05.

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12

Nichols, Jeffrey. "Will Rest for the Weary Wear Everybody Out?" Caring for the Ages 15, no. 8 (August 2014): 3. http://dx.doi.org/10.1016/j.carage.2014.07.005.

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13

Neuenschwander, P., D. Maurer, and L. Rychlicki. "Long-Term Wear Monitoring and Wear Prediction by Means of Wear Models." IFAC Proceedings Volumes 27, no. 5 (June 1994): 121–25. http://dx.doi.org/10.1016/s1474-6670(17)48015-3.

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14

Tian, Harry H., Graeme R. Addie, and Krishnan V. Pagalthivarthi. "Determination of wear coefficients for erosive wear prediction through Coriolis wear testing." Wear 259, no. 1-6 (July 2005): 160–70. http://dx.doi.org/10.1016/j.wear.2005.02.097.

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15

Arguello, Diego J., Kristie Andersen, Alvin Morton, and Dinesh John. "Performance Of Actigraph’s Wear-time Sensors For Wear/non-wear Time Classification." Medicine & Science in Sports & Exercise 49, no. 5S (May 2017): 649. http://dx.doi.org/10.1249/01.mss.0000518709.64411.f4.

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16

Neuenschwander, P., D. E. Maurer, and L. Rychlicki. "Long-term wear monitoring and wear prediction by means of wear models." Control Engineering Practice 3, no. 7 (July 1995): 1011–15. http://dx.doi.org/10.1016/0967-0661(95)00085-9.

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17

Perez, Elmer, Masaki Tanaka, and Tatsuhiro Jibiki. "Wear of Stainless Steels - Cause and Transition of Wear of Martensitic Stainless Steel." Marine Engineering 48, no. 5 (2013): 662–69. http://dx.doi.org/10.5988/jime.48.662.

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18

Tamada, Ryota, and Masaki Shiraishi. "Prediction of Uneven Tire Wear Using Wear Progress Simulation." Tire Science and Technology 45, no. 2 (April 1, 2017): 87–100. http://dx.doi.org/10.2346/tire.17.450201.

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ABSTRACT Tire wear performance is very important in terms of safety and economic benefit for customers and environmental conservation. Tire wear performance can be sorted into “global” or “local” wear. Local wear means uneven tire wear, for example, heel/toe wear, one-sided shoulder wear, feather edge wear, etc. This uneven wear decreases tire life locally and has the potential for causing a noise problem, so it is very important to improve uneven wear performance for long life tire. It is difficult to correctly evaluate the uneven tire wear performance of a brand-new tire, because the tire wear performance changes with tire pattern shape transformation as it wears. In order to experimentally evaluate uneven wear performance accurately, we have to do time-consuming tire road tests. Therefore, we need a prediction method for uneven wear. In this paper, we introduce “wear progress simulation” developed in order to evaluate heel/toe wear performance, which occurs in the shoulder blocks. This method involves “wearing out the finite element (FE) tire model” using wear energy calculated from tire rolling simulation. By this method, we can observe the transformation of tire pattern shape and wear energy distribution. As a result, we can estimate the difference of heel/toe wear performance among tires by our developed simulation.
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19

Nair, Arya. "DART Wear: Danger Alert Reassuring Track Wear." International Journal of Advances in Computer Science and Technology 9, no. 6 (June 25, 2020): 15–19. http://dx.doi.org/10.30534/ijacst/2020/03962020.

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20

Vuong, T. T., and P. A. Meehan. "Wear transitions in a wear coefficient model." Wear 266, no. 9-10 (April 2009): 898–906. http://dx.doi.org/10.1016/j.wear.2008.12.006.

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21

LEE, A., L. H. HE, K. LYONS, and M. V. SWAIN. "Tooth wear and wear investigations in dentistry." Journal of Oral Rehabilitation 39, no. 3 (September 16, 2011): 217–25. http://dx.doi.org/10.1111/j.1365-2842.2011.02257.x.

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22

Brikov, M. M. "Wear resistance of steels under mechanical wear." Metaloznavstvo ta obrobka metalìv 95, no. 3 (September 15, 2020): 54–62. http://dx.doi.org/10.15407/mom2020.03.054.

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23

Wei, M. X., K. M. Chen, S. Q. Wang, and X. H. Cui. "Analysis for Wear Behaviors of Oxidative Wear." Tribology Letters 42, no. 1 (January 7, 2011): 1–7. http://dx.doi.org/10.1007/s11249-010-9741-y.

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24

Wang, Yushu, and Stephen M. Hsu. "Wear and wear transition modeling of ceramics." Wear 195, no. 1-2 (July 1996): 35–46. http://dx.doi.org/10.1016/0043-1648(95)06750-7.

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25

Wang, Yushu, and Stephen M. Hsu. "Wear and wear transition mechanisms of ceramics." Wear 195, no. 1-2 (July 1996): 112–22. http://dx.doi.org/10.1016/0043-1648(95)06800-7.

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26

Zhou, Jun, Ming Pu Liu, and Hong Qi Sun. "Research on the Wear Process of High Speed Cutting Ni-Based Superalloy." Materials Science Forum 800-801 (July 2014): 102–6. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.102.

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As the main method of high efficiency cutting Ni-based superalloy, high-speed cutting can not but intensify the cutting-tool wear for the high cutting force and cutting temperature. So, it is very necessary to study the process of cutting-tool wear and wear mechanism, especially, the effect of cutting-tool wear on the cutting force, cutting temperature and surface roughness of machined workpiece. In this paper, investigation of tool wear in high-speed cutting is proposed, the PCDTiAlN carbide insert is used in the experiment, the cutting-tool wear and the corresponding cutting force, cutting temperature and surface roughness of machined workpiece is detected. It indicates that the cutting force, cutting temperature and surface roughness of machined workpiece is changed corresponding the cutting-tool wear,the wear process of coated tool include the coated material wears and base material wears,the wear mechanism is complex. Key word: superalloy, high-speed cutting, tool wear, wear form ; .
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27

Weissman, Barry A., and Bartly J. Mondino. "Is Daily Wear Better than Extended Wear? Arguments in Favor of Daily Wear." Cornea 9, Supplement (1990): S28. http://dx.doi.org/10.1097/00003226-199010001-00011.

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28

Freeman, Melvin I. "Is Daily Wear Better than Extended Wear? A Rational Approach to Extended Wear." Cornea 9, Supplement (1990): S31. http://dx.doi.org/10.1097/00003226-199010001-00012.

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29

Wang, S. Q., M. X. Wei, F. Wang, X. H. Cui, and C. Dong. "Transition of Mild Wear to Severe Wear in Oxidative Wear of H21 Steel." Tribology Letters 32, no. 2 (October 8, 2008): 67–72. http://dx.doi.org/10.1007/s11249-008-9361-y.

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30

KITAMURA, Kazuhiko. "Tool Wear." Journal of the Japan Society for Technology of Plasticity 47, no. 541 (2006): 124–28. http://dx.doi.org/10.9773/sosei.47.124.

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31

JACOBS, JOSHUA J., NADIM J. HALLAB, ROBERT M. URBAN, and MARKUS A. WIMMER. "WEAR PARTICLES." Journal of Bone and Joint Surgery-American Volume 88 (April 2006): 99–102. http://dx.doi.org/10.2106/00004623-200604002-00020.

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32

Tusek, Ivan, and Jasmina Tusek. "Tooth wear." Glasnik Antropoloskog drustva Srbije, no. 49 (2014): 67–76. http://dx.doi.org/10.5937/gads1449067t.

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33

Jacobs, Joshua J. "Wear Particles." Journal of Bone and Joint Surgery (American) 88, suppl_2 (April 1, 2006): 99. http://dx.doi.org/10.2106/jbjs.f.00102.

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34

Riaz, Rashid, Mohammad Sher Zaman, and Rao Rashad Qamar. "SPECTACLE-WEAR." Professional Medical Journal 25, no. 12 (December 8, 2018): 1852–56. http://dx.doi.org/10.29309/tpmj/18.4416.

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Background: Refractive errors are the most common cause of avoidable visual impairment in children worldwide. Importance of school screening of refractive errors is one of the most important initiatives outlined in WHO Vision 2025 targets. Corrected refractive errors visually rehabilitate the school going children. But the benefit depends on the compliance of the spectacle wear by children. Purpose: To study the compliance of spectacle wear and to highlight the reasons of non compliance in school going children of Multan. Study Design: Cross-sectional descriptive study. Setting: Ophthalmology Department, Nishtar Medical University Multan, Pakistan. Period: Jan 2009 to Oct 2012. Materials and Methods: 631 students. Among them 187 males and 175 female students were prescribed spectacles for constant wear during school screening program. Each student was given a pro forma indicating name, age, gender, prescription and column of reasons of non compliance. After six months, we conducted a follow-up visit where these students were accessed about spectacle compliance and reasons of non compliance on the given feedback pro forma from teachers. The data was collected and analyzed by SPSS version 20. Results: The overall non-compliance rate of spectacle wear in primary school children was 35.91%. A significantly higher proportion of boys 119 (57.14%) were not wearing their spectacles compared to girls 175 (54.86%). Themain reasons for non compliance in primary school boys and girls were casual in wearing their spectacles, does not like to wear spectacles, break their spectacles frequently and some children feel spectacles are not needed or cause headache. Conclusions: Poor compliance of using spectacles was noted in our study among children with refractive errors with main reason for not using these spectacles was that they did not like to wear them. So there is need to adopt aggressive awareness campaign among teachers and parents to enhance their knowledge for better outcomes and visual improvement of the children. Screening of primary school children with refractive error was difficult task in Multan. Limited information was available on the magnitude of the compliance for spectacle wear and their reasons of noncompliance. This information is crucial for establishing a program and will strengthen the efforts for a better eye care in school children.
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35

Knevel, R. J. M., and J. E. C. van der Woord. "Tooth wear." International Journal of Dental Hygiene 5, no. 3 (August 2007): 195–96. http://dx.doi.org/10.1111/j.1601-5037.2007.00257.x.

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36

HINOKUCHI, TAKAKO. "Women's Wear." Sen'i Gakkaishi 75, no. 5 (May 10, 2019): P—279—P—295. http://dx.doi.org/10.2115/fiber.75.p-279.

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37

KIYOSHIMA, NOBUHIRO, and MASANORI FUJIMOTO. "Sports Wear." Sen'i Gakkaishi 75, no. 6 (June 10, 2019): P—332—P—342. http://dx.doi.org/10.2115/fiber.75.p-332.

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38

YOSHINAKA, KENICHI. "Inner Wear." Sen'i Gakkaishi 75, no. 7 (July 10, 2019): P—369—P—381. http://dx.doi.org/10.2115/fiber.75.p-369.

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39

Hope, M. E. "Outer Wear." Iowa Review 45, no. 1 (March 2015): 16. http://dx.doi.org/10.17077/0021-065x.7555.

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40

Suzuki, Hideo. "Musical wear." Journal of the Acoustical Society of America 88, no. 6 (December 1990): 2916. http://dx.doi.org/10.1121/1.399604.

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41

Omar, Ridwaan, Anders Johansson, Ann-Katrin Johansson, and Gunnar E. Carlsson. "Tooth Wear." International Journal of Dentistry 2012 (2012): 1. http://dx.doi.org/10.1155/2012/731085.

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42

Bartlett, David. "Tooth wear." British Dental Journal 224, no. 5 (March 2018): 283. http://dx.doi.org/10.1038/sj.bdj.2018.175.

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43

MANLEY, MICHAEL T., and PAUL SEREKIAN. "Wear Debris." Clinical Orthopaedics and Related Research &NA;, no. 298 (January 1994): 137???146. http://dx.doi.org/10.1097/00003086-199401000-00019.

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44

Gibbs, W. Wayt. "Soft Wear." Scientific American 273, no. 4 (October 1995): 46. http://dx.doi.org/10.1038/scientificamerican1095-46b.

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45

Graham, D. R. "Polyethylene wear." Journal of Bone & Joint Surgery 70, no. 6 (July 1988): 942–43. http://dx.doi.org/10.2106/00004623-198870060-00023.

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46

PAWELCZAK, SUSAN. "WEAR GLOVES." Nursing 17, no. 8 (August 1987): 5. http://dx.doi.org/10.1097/00152193-198708000-00003.

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47

Ravikiran, A. "Wear Quantification." Journal of Tribology 122, no. 3 (December 15, 1999): 650–56. http://dx.doi.org/10.1115/1.555416.

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Tribology literature shows considerable scatter in the wear rate of materials obtained by pin-on-disc type of studies. The general consensus thus far has been that this scatter is due to variations in the material properties and experimental conditions used by different investigators. However, the present paper shows that the scatter can also arise from the way wear is quantified by popular methods such as by m3/m, m3/Nm and so on. Therefore, an improved method of wear quantification indicated as “wear index” (WI) a non-dimensional quantity, has been proposed and it is expected to reduce scatter that arises from the way wear is quantified. Evidence for the improvement has been provided from the results obtained from the experiments reported in this paper as well as those reported by different researchers. Besides reducing scatter, WI is expected to improve correlation in the wear values between laboratory benchmark tests and actual industrial applications, and also that between different investigators. Hence WI is expected to enhance the general understanding on tribology. [S0742-4787(00)01103-6]
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48

High Tea With Mrs Woo and Anne Cranny-Francis. "Wear now!" Visual Communication 7, no. 3 (August 2008): 291–302. http://dx.doi.org/10.1177/1470357208092535.

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49

Crainer, Stuart. "SHARE WEAR." Business Strategy Review 25, no. 4 (November 24, 2014): 60–61. http://dx.doi.org/10.1111/j.1467-8616.2014.01124.x.

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50

Wadia, Reena. "Tooth wear." British Dental Journal 230, no. 2 (January 2021): 92. http://dx.doi.org/10.1038/s41415-021-2611-1.

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