An Outlook on Magnesium-Based Biodegradable Implants

M, Bobby Kannan

doi:10.4172/2169-0022.1000e108

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…When WiDE was tested on multi cylinder industrial diesel engine, a maximum of 37% reduction in NOx has been reported under steady state operation [3]. Another study with a single cylinder diesel engine claimed that 10% and 25% NOx reduction has been achieved with 10% and 20% water content respectively [4]. With a lower injection pressure, Maiboom et al [5] reported NOx reduction between 30-50% using a 4 cylinder, HSDI diesel engine.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Performance and Emission Characteristics of IDI Diesel Engine Using Homogenized Water in Bio-Diesel Emulsion

Karim

Khan

2018

MATEC Web Conf.

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Water in diesel emulsion when used as fuel in diesel engine has shown simultaneous reduction in both nitrogen oxides and particulate matters. However, when water in bio-diesel emulsion is used, the effect of simultaneous reduction of nitrogen oxides and particulate reduction is not achieved. The current study aims at investigating the diesel engine performance and exhaust emissions using water in bio-diesel fuel prepared by a homogenizer that produced micro-water particles in the emulsion. A 1.8L indirect injection diesel engine was operated using bio-diesel fuel which contains 95% diesel and 5% palm oil methyl ester, mixed with 5%, 10% and 20% by volume of water. Engine testing was conducted at full load condition with the engine speeds ranges from 1000 to 4000 rpm. Torque, engine speed and fuel consumption were measured along with emissions of NOx, CO, CO2, HC, O2. The results showed small reduction in brake power, 1.4% and 2.1% for WBDE-5 and WBDE-10 respectively, at maximum torque. While, reduction in exhaust gas temperature, CO2 and smoke opacity for all the tested emulsions were exhibited. On the other hand, NOx was found to increase with increase in water contents due to the higher oxygen content in the bio-diesel fuel. WBDE-20 showed the worst efficacy due to having water content of 20% by volume.

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Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Performance and Emission Characteristics of IDI Diesel Engine Using Homogenized Water in Bio-Diesel Emulsion

Karim

Khan

2018

MATEC Web Conf.

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“…It is well documented that the injection of water vapor into a combustion engine increases the heat capacity (C P ) of the off-gas, so that the temperature cannot exceed the limit for thermal NO X production. [44][45][46] Although not validated, it is likely that this effect, in part at least, explains the observations made in high silicon alloy production. 27,42,43 The effect of the furnace hood design and the inlet for false air on the NO X emission has been thoroughly studied and modeled by Kamfjord 26 and others, [47][48][49] but most of this work is not published.…”

Section: Nitrogen Oxides Noxmentioning

confidence: 99%

Airborne Emissions from Si/FeSi Production

Kero

Grådahl

Tranell

2016

JOM

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The management of airborne emissions from silicon and ferrosilicon production is, in many ways, similar to the management of airborne emissions from other metallurgical industries, but certain challenges are highly branch-specific, for example the dust types generated and the management of NO X emissions by furnace design and operation. A major difficulty in the mission to reduce emissions is that information about emission types and sources as well as abatement and measurement methods is often scarce, incomplete and scattered. The sheer diversity and complexity of the subject presents a hurdle, especially for new professionals in the field. This article focuses on the airborne emissions from Si and FeSi production, including greenhouse gases, nitrogen oxides, airborne particulate matter also known as dust, polyaromatic hydrocarbons and heavy metals. The aim is to summarize current knowledge in a state-of-the-art overview intended to introduce fresh industry engineers and academic researchers to the technological aspects relevant to the reduction of airborne emissions.

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Corrosion Prediction Ofmagnesium Implant Using Multiscale Modeling Based on Machine Learning Algorithms

Mondal,

Samanta,

Shit

et al. 2024

Int J Mult Comp Eng

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Significant thoughtful research is really necessary to improve the patient outcomes and reduce the social and financial burdens associated with implant failure. The primary focus of the researchers is to minimize the major implant failure due to corrosion attributed to making orthopedic surgery safer and more effective. Hence, a critical review has been done in this present article on the various multiscale modelings based on machine learning algorithms (MLAs) to predict the corrosion behavior of magnesium (Mg) alloy implants. According to the best of the authors' knowledge, all the available multiscale modelings tools, such as artificial neural network (ANN), least absolute shrinkage and selection operator (LASSO) regression model, multiple linear regression and random forest regression (RFR) models, etc., are methodically presented and discussed in detailed here for the prediction of corrosion mechanism. Subsequently, various multiscale model tools and assessment metrics for models have been thoroughly compared and criticized for better understanding and optimizing of the corrosion behavior of implants. The comparison indicates that the RFR model may be the best option, whereas the LASSO regression model and ANNs show inefficient performance for the prediction of corrosion behavior. Apart from the multiscale modeling approach, the authors have also explored the physiology and properties of alloys, bone implant, immune and tissue system, and the corrosion control mechanisms of Mg alloy. Finally, the present review on multiscale modeling approach and assessment metrics models will enhance the knowledge and understanding of the corrosion behavior of Mg alloy for implant application.

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An Outlook on Magnesium-Based Biodegradable Implants

Cited by 3 publications

References 19 publications

Experimental Investigation of Performance and Emission Characteristics of IDI Diesel Engine Using Homogenized Water in Bio-Diesel Emulsion

Experimental Investigation of Performance and Emission Characteristics of IDI Diesel Engine Using Homogenized Water in Bio-Diesel Emulsion

Airborne Emissions from Si/FeSi Production

Corrosion Prediction Ofmagnesium Implant Using Multiscale Modeling Based on Machine Learning Algorithms

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