ASRIC Journal of Engineering Sciences 2023 v3-i2
ISSN: 2795-3548
EISSN: 2795-3556
ASRIC Journal of Engineering Sciences 2023 v3-i2
ASRIC Journal of Engineering Sciences 2023 v3-i2
Published: 2023-12-29
Articles
Study of the Electronic Properties of (Cellulose Acetate/x-MoO3)
Dina Ezzat
Chromism-based optical filters is an interested field of research, due to their application as electrochromic materials. Typically, electrochromic transition metal oxides such as MoO3 and are utilized in applications such as smart windows and electrochromic devices (ECD). Molecular modeling based on density functional theory (DFT) at B3LYP/ LanL2DZ was utilized to study the effect of addition of
Exploring The Energetic Efficiency of Internal Combustion Engines: A Comparative Study of Ignited Spark Exergy and Energy Analysis for Hydrogen Fuel, Methane, and Gasoline
Julius Ibeawuchi Onyewudiala*, Nnadikwe Johnson
Exergy analysis is an invaluable tool used to identify the individual contributions of different processes in transferring input functionality to a system. It allows us to pinpoint exactly where useful energy losses occur within a given system or process. In this particular study, our focus lies on conducting an exergy comparison of the performance of an internal combustion engine with spark-ignit
Assessing Pump Reliability: a Case Study of Port Harcourt Refinery
Chiagorom V.C.*, Osuchukwu L.C.
The goal of the maintenance optimization process is to select the appropriate maintenance technique for each piece of equipment within a system and identifying the periodicity that the maintenance technique should be conducted to achieve regulatory requirements, maintenance targets concerning safety, equipment reliability, system availability and costs. This paper presents a predictive maintenance
Auto-Regression Auctions
Khaled Nagaty
This paper proposes two auto-regression auction formats namely, simple autoregression and multiple autoregression auctions. Both auto-regression auctions use the valuable information available in both past auctions and current auction to predict the start price, recommended price and reserve price of the current auction’s object which allow auctioneers to maximize the current auction’s revenue. In
Issues
