In vitro and in vivo degradability,biocompatibility and antimicrobial characteristics of Cu added iron-manganese alloy

In recent years,iron(Fe)based degradable metal is explored as an alternative to permanent fracture fixation devices.In the present work,copper(Cu)is added in Fe-Mn system to enhance the degradation rate and antimicrobial properties.Fe-Mn-xCu(x=0.9,5 and 10 wt.％)alloys are prepared by the melting-casting-forging route.XRD analysis confirms austenite phase stabilization due to the presence of Mn and Cu.As predicted by Thermo-Calc calculations,Cu rich phase precipitations are noticed along the austen-ite grain boundaries.Degradation behaviours of Cu added Fe-Mn alloys are investigated through static immersion and electrochemical polarization where enhanced degradation is found for higher Cu added alloys.When challenged against E.Coli bacteria,the Fe-Mn-Cu alloy media extract shows a significant bac-tericidal effect compare to the base alloy.In vitro cytocompatibility studies,as determined using MG63 and MC3T3-E1 cell lines,indicate increased cell density as a function of time for all the alloys.When implanted in rabbit femur,the newly developed alloy does not show any kind of tissue necrosis around the implants.Better osteogenesis and higher new bone formation are observed with Fe-Mn-10Cu alloy as evident from micro-computed tomography(μ-CT)and fluorochrome labelling.     

Role of additives in fabrication of soy-based rigid polyurethane foam for structural and thermal insulation applications

Environmental concerns continue to pose the challenge to replace petroleum-based products with renewable ones completely or at least partially while maintaining comparable properties. Herein, rigid polyurethane (PU) foams were prepared using soy-based polyol for structural and thermal insulation applications. Cell size, density, thermal resistivity, and compression force deflection (CFD) values were evaluated and compared with that of petroleum-based PU foam Baydur 683. The roles of different additives, that is, catalyst, blowing agent, surfactants, and different functionalities of polyol on the properties of fabricated foam were also investigated. For this study, dibutyltin dilaurate was employed as catalyst and water as environment friendly blowing agent. Their competitive effect on density and cell size of the PU foams were evaluated. Five different silicone-based surfactants were employed to study the effect of surface tension on cell size of foam. It was also found that 5 g of surfactant per 100 g of polyol produced a foam with minimum surface tension and highest thermal resistivity (R value: 26.11 m²·K/W). However, CFD values were compromised for higher surfactant loading. Additionally, blending of 5 g of higher functionality soy-based polyol improved the CFD values to 328.19 kPa, which was comparable to that of petroleum-based foam Baydur 683.     

Innovative Utilization of Improved n-doped μc-SiOx:H Films to Amplify the Performance of Micromorph Solar Cells

Silicon - Due to in-situ deposition process doped SiOx material attracts the PV community as intermediate reflecting layer (IRL) for the less hazardous deposition process. Previously we have been...     

Effect of the Time and Temperature of Isothermal Quenching on Microstructure and Mechanical Properties of Bainitic Gray Cast Iron

Metal Science and Heat Treatment - Mechanical properties of copper-alloyed bainitic gray cast iron are studied after isothermal quenching for bainite at different temperatures and holds. The...     

Performance and emission analysis of methyl ester of Azolla algae with TiO2 Nano additive for diesel engine

The present work investigates the effect of using TiO₂ Nanoparticles at a different proportion of Azolla algae methyl ester, in a four-stroke single cylinder diesel engine. Biodiesel can be obtained from Azolla algae due to the presence of high oil content. The oil was extracted from Azolla algae by means of the Soxhlet extraction method which was compared to be more effective than the oil obtained by means of hydraulic pressing machine. The obtained oil was converted to biodiesel by means of transesterification process. The fuel properties of the prepared Azolla methyl ester found to confirm with the ASTM standards. TiO₂ Nanoparticles were synthesized by means of ball milling process and characterized by means of Scanning Electron Microscope (SEM), Atomic Force Microscopy (AFM), Fourier Transform Infrared (FTIR) and X-Ray Diffraction (XRD) techniques. In the present study, the performance and emission characteristics of diesel engine were analyzed with the addition of TiO₂ Nanoparticles to Azolla oil methyl ester (25,50,75 and100 ppm) and compared with that of diesel. The % decrease in Brake Specific Fuel Consumption (BSFC) for B20 + 25, B20 + 50, B20 + 75 and B20 + 100 were found to be 7.81, 12.05, 19.71, and 23.53, respectively, when compared to B20. The % increase in Brake Thermal Efficiency (BTE) for B20 + 25, B20 + 50, B20 + 75 and B20 + 100 were found to be 2.60, 8.49, 8.79 and 13.38, respectively, when compared to B20. The % decrease in Carbon monoxide (CO) for B20 + 25, B20 + 50, B20 + 75 and B20 + 100 were found to be 21.15, 51.92, 54.80, and 57.30, respectively, when compared to B20. The % decrease in Hydro Carbon (HC) for B20 + 25, B20 + 50, B20 + 75 and B20 + 100 were found to be 7.53,8.36,10.04 and 12.97, respectively, when compared to B20. The % increase in Oxides of Nitrogen (NOx) for B20 + 25, B20 + 50, B20 + 75 and B20 + 100 were found to be 5.44, 7.85, 8.67, and 9.16, respectively, when compared to B20. The % decrease in smoke for B20 + 25, B20 + 50, B20 + 75 and B20 + 100 were found to be 18.02, 30.18, 31.98 and 36.04, respectively, when compared to B20. Addition of TiO₂ Nanoparticles with the Azolla biodiesel is found to be an effective approach to improve the performance and emission characteristics of a diesel engine without any modification.     

Wind turbine drives — Test results from the ‘falcon’

A wind turbine drive has been designed and built for full scale trials in order to assess the use of this type of propulsion for commercial craft. This wind turbine rig is fitted to the 5.6m long Blackwater sloop ‘Falcon’.

Test results from this boat are presented over a range of operating wind conditions up to Beaufort force 6 (11.5m/s) for two different wind turbine rotors. Maximum boatspeeds reached were 3.5 knots upwind (in 7.2m/s wind), 5.0 knots across the wind (9.8m/s wind) and 5.2 knots downwind (8m/s wind). The ‘hull speed’ of this boat is around 5.0 knots.     

Optimising Residual Energy Transmission Head with SNR Value in Multiple Clusters

WSN consists of independent device spatially distributed in the wireless network with sensor that observes the environment conditions. In this paper we propose a new algorithm for transmission head and its function. The cluster head (CH) activities, the role of transmission head (TH) and the selection of TH in various scenarios are discussed. Moreover the residual energy of the head nodes, signal–noise ratio for CH and TH are analysed with simulation results. Section 3 defines the cluster region and the active nodes of the cluster. It defines the identity of each cluster node. Section 3 deals with the selection of CH and the role of TH. Also, the algorithmic approach of TH is explained in this section. Section 4 explains the process of TH to TH communication. The communication of the various clusters is discussed in this section. The final section presents the analysis of TH and CH work with a comparison based on simulation.

     

A simulation‐based algorithm for optimal pricing policy under demand uncertainty

We propose a simulation‐based algorithm for computing the optimal pricing policy for a product under uncertain demand dynamics. We consider a parameterized stochastic differential equation (SDE) model for the uncertain demand dynamics of the product over the planning horizon. In particular, we consider a dynamic model that is an extension of the Bass model. The performance of our algorithm is compared to that of a myopic pricing policy and is shown to give better results. Two significant advantages with our algorithm are as follows: (a) it does not require information on the system model parameters if the SDE system state is known via either a simulation device or real data, and (b) as it works efficiently even for high‐dimensional parameters, it uses the efficient smoothed functional gradient estimator.     

An implementation of Min–Max optimization for multipath SCTP through bandwidth estimation based resource pooling technique

Multipath transport protocols like Stream Control Transmission Protocol (SCTP) and Multipath TCP (MPTCP) have been introduced in the past as alternatives to traditional single path transport protocols like TCP and UDP. Various approaches to divide the flow on multiple paths have also been proposed in the literature. In this work, we show that the bandwidth estimation based resource pooling (BERP) congestion control algorithm is a practical implementation of the Min–Max optimization approach for flow division and verify this through ns-2 based simulations.