Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item Dry sliding friction and wear of Al 6061 and Al 6082 alloys under different normal loads(Elsevier Ltd, 2019) Srinivasula Reddy, I.; Kaliveeran, V.The current research work addresses evolution of coefficient of friction over sliding distance. Friction and wear tests were conducted using pin on disk type tribometer. The stabilized friction coefficient values under normal load of 10 N and 15 N for Al 6061 were noted as 0.5 and 0.58 respectively. Corresponding friction coefficient values for Al 6082 were noted as 0.6 and 0.45 respectively. Equation to calculate wear volume was derived for cylinder on flat contact. The dominant wear mechanisms were justified with the images of the disk specimens captured using optical microscope. Increase in wear volume resulting from increase in normal load was observed for Al 6061 and Al 6082 alloys. © 2019 Elsevier Ltd. All rights reserved.Item Flexural modulus of epoxy composite reinforced with Arecanut husk fibre (AHF): A mechanics approach(Elsevier Ltd, 2019) Muralidhar, N.; Kaliveeran, V.; Arumugam, V.; Srinivasula Reddy, I.Arecanut Husk Fibre (AHF) is an agricultural waste material. Polymer composites prepared with AHF as reinforcing material avoids dumping of arecanut husk onto bare land. AHF contributes to the development of innovative products having low environmental impact. These polymer composites are cost-effective and have low-density. Composites manufactured using polymers and natural fibre are widely used in aerospace, automobile, construction and marine structural applications. AHF was extracted by chemical retting process using 6% sodium hydroxide solution. The present research focuses on composite panel preparation using epoxy reinforced with treated AHF (15% by weight of composite) and flexural characterization of the composite. Composites were made with three-layered arrangement of AHF threads. In the current study, flexural modulus of AHF composite panels is determined by conducting dynamic flexural tests with fixed-fixed support condition and at different loading frequencies. The flexural modulus of the composite material is calculated using Euler-Bernoulli bending theory and results are compared with existing literature. © 2019 Elsevier Ltd. All rights reserved.Item Sliding of various ductile materials (Al 6061, Al 6082) using pin on disc setup(Elsevier Ltd, 2019) Srinivasula Reddy, I.; Kaliveeran, V.The present study focuses on understanding the variation of coefficient of friction over a period of time. At various sliding cycles, the coefficient of friction was noted from the well-controlled sliding experiments. Friction tests were conducted using Aluminium alloys (Al 6061 and Al 6082) with 10 N constant normal load and at sliding speed of 1.5 m/s. The detailed friction results have been presented and discussed to understand the influence of coefficient of friction on the contact tractions at the interface. The obtained friction results are compared with the results mentioned in literature, where reciprocating sliding experiments were conducted. From this comparison, it is concluded that the formation of oxide and nitride layers are dominant, when the friction tests are conducted using pin on disc setup. © 2019 Elsevier Ltd. All rights reserved.Item Forecasting Future Traffic Trend by Short-Term Continuous Observation(IOP Publishing Ltd, 2020) Mendi, V.; Srinivasula Reddy, I.Annual Average Daily Traffic (AADT) is a key parameter to understand the traffic flow rates, traffic density and to design any highway. Generally, short period observed traffic data mainly depends on that season in which the traffic surveys were conducted, which may be high or low compared to the other seasons. So, the behavior of seasonal variation of traffic must be considered for the AADT analysis. These seasonal variations can be found out using the past recorded data of that selected location. But in the case of a location where the past annual traffic data is not available, an alternative method is required to calculate the seasonal variation of the traffic data. The present study deals with the analysis of seasonal variation factors to estimate the AADT from the fuel sale data collected from the nearby petrol stations at the traffic survey point. This work explains how Annual Average Daily Traffic (AADT) can be estimated from a week's limited traffic data when there is a scarcity of automatic traffic data collecting systems. © Published under licence by IOP Publishing Ltd.Item Future Traffic Prediction from Short Period Traffic Data(IOP Publishing Ltd, 2020) Srinivasula Reddy, I.; Mendi, V.Prediction of future traffic is a complicated process which requires logical prediction methods and experience. The present study focused on the prediction of future traffic from the AADT data which is estimated from the one week continuous traffic data collected from the selected study area. State wise traffic contributions are estimated from the one-day number plate survey data and major states effecting the traffic in the study area are observed. The population data, vehicle registration data and economic data of the major states which are observed through number plate survey are used for the prediction of future traffic data. The vehicle growth rates were calculated using average vehicle registration growth rate method and nonlinear regression (power regression). Finally, the growth rates were decided according to the traffic design norms provided by NHAI. The year wise future traffic was predicted and presented in this paper from the year 2013 to 2040. The changes in Level of Service (LOS) of the NH 8A for four lane and six lane configuration is detailed for the future scenario. © Published under licence by IOP Publishing Ltd.