Proceeding of the Conference
A Comparative Study on the Erosive Wear Characteristics of HDPE/Tantalum Iron Using Titanium/Rutile Sludge as Abrasive
Authors- Abhinand G, Jayashankar P, Rojan Antony, Sanjo Paul Kalluvilayathil, V.R. Rajeev, Ajith G. Nair and Muhammed Arif M
Abstract- – This paper aimed to study the erosive wear characteristics of high density polyethylene (HDPE) and Tantalum iron using Titanium/Rutile sludge as an abrasive material. The sludge is obtained from Travancore Titanium Products Ltd(TTPL) which is a waste material with 6 to 6.5 hardness on mohs scale. An inhouse built erosive wear test rig will be used to simulate the erosive wear characteristics of HDPE/ Tantalum iron using Titanium/Rutile as abrasive. The process parameters, including specimen velocity, slurry concentration, impact angle, and time are varied within fixed ranges. From the studies it reached to the conclusion that erosive wear is more on Tantalum iron when compared to HDPE and time has more contribution to erosive wear loss.
Dry Reciprocating Wear Characteristics of A356/20% SiCp Functionally Graded Composite
Authors- Naveen Lohi, Jibin Bose T. C., V. R. Rajeev
Abstract- – In this paper, centrifugally cast A356/20 wt.% SiCp functionally graded metal matrix composite (FGMMC) pins were subjected to wear test against EN31 steel plate in reciprocating contacts under dry sliding conditions. The influence of temperature, load, sliding velocity, wt.% of SiC and sliding distance on wear loss was studied using fractional factorial design. The most important factors affecting wear loss were observed to be load and sliding distance with percentage contributions of 34.68 and 34.27 respectively. While temperature, sliding velocity and wt.% of SiC only had minor influence on wear loss. Among two factor interactions, interaction of sliding velocity and wt.% of SiC was found to have significant influence with 13.14 percentage contribution fol-lowed by that of temperature and wt.% of SiC with 6.53 %.
Power Management and Sizing Optimization for Isolated Systems Considering Solar, Battery, and Diesel Generator based on Cost and Reliability under Murzuq and Sabha Cities Weather
Authors- Abdulgader Alsharif, Abdussalam Ali Ahmed, Mohammed Khaleel, Yassar F. Nassar, Mohamed Alamen Sharif, Hala Jarallah El-Khozondar
Abstract- – Grid-isolated electrification for rural areas is a crucial task where the utility grid can not be reached or is costly to connect. Developing Renewable Energy Sources (RESs) in southern Libyan cities is required to be further investigated due to the power crises and increasing population. Two cities in the southern west side of Libya as highly radiated solar-radiated cites namely (Murzuq and Sabha) as studied cases in this study. The implemented climatology data has been sourced from the Global Solar Atlas. The proposed system consists of Photovoltaic (PV), Battery (BT), Diesel Generation (DG), and converters, integrated into the domestic load. Utilizing one of the recent nature-inspired metaheuristic algorithms namely Gray Wolf Optimization (GWO) for sizing the aforementioned hybrid system components due to its simplicity and flexibility. The obtained result has been validated with other metaheuristic methods namely Cat Swarm Algorithm (CSA) and Particle Swarm Optimization (PSO) in terms of cost and loss minimization as objectives along with the sizing configurations. The analyzed data and obtained simulated results have been implemented in a very well-known software program called Matlab. This article presented to be as a reference for scholars who are interested in the field of growing using Renewable Energy Sources (RESs) in the country rather than conventional sources to achieve Sustainable Development Goal seven (SDG7) for (Affordable and Clean Energy) and Sustainable Development Goals (SDG13) for (Climate Action). The authors recommended utilizing other RESs and techniques to find a better solution to overcome the energy and environmental crises.
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