Mechanical & Industrial Engineering: المرسلات الحديثة
السجلات المعروضة 221 -- 240 من 1396
-
Combustion and emissions of a gas-to-liquid diesel engine utilizing optimized spiral-helical intake manifold designs
( American Society of Mechanical Engineers (ASME) , 2021 , Article)Two simultaneous strategies were used to reduce diesel engine emissions. Optimized manifold designs were used with gas-to-liquid (GTL) fuel and its blend with diesel fuel. Six new spiral-helical manifolds were tested, which ... -
Effect of Utilizing a Novel Intake Manifold Design on Smoke Emissions and Particulate Size Distributions of a Gas-to-Liquid Diesel Engine
( American Society of Mechanical Engineers (ASME) , 2021 , Article)Smoke emissions and particulate matter (PM) size distributions were investigated on a direct-injection (DI) single-cylinder diesel engine running on both gas-to-liquid (GTL) and diesel fuels utilizing a novel spiral-helical ... -
Investigating the Potential of Recycling Flare-Source Hydrocarbon Gases in an Industrial Burner
( American Society of Mechanical Engineers (ASME) , 2021 , Article)Flare gas is considered a global environmental concern. Flaring contributes to wasting limited material and energy resources, economic loss, and greenhouse gas emissions. Utilizing flared gas as a fuel feed to industrial ... -
Development of an Air-Cooled Induction Manifold for Diesel Engines in Hot and Humid Climate
( American Society of Mechanical Engineers (ASME) , 2022 , Article)Extreme weather conditions in the Gulf, Qatar, have been taken as an example in this study, tend to be hot and humid mostly throughout the year, especially in the summer. Such weather negatively affects the performance and ... -
Modelling of multiple biodiesel-emitted nitrogen oxides using ANN approach
( Elsevier , 2023 , Article)This research paper focuses on modelling of nitrogen oxides emitted by diesel engine for multiple biodiesel blends. A lot of research work has observed that the properties of biodiesel blends affect the nitrogen oxide ... -
Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends
( Springer Nature , 2024 , Article)Studying the spatial and temporal evolution in turbulent flames represents one of the most challenging problems in the combustion community. Based on previous 3D numerical analyses, this study aims to develop data-driven ... -
An experimental and numerical investigation of the effects of the diaphragm pressure ratio and its position on a heated shock tube performance
( Wiley-Blackwell , 2022 , Article)The main purpose of this work was to investigate the performance of heated shock tube (ST) with different pressure ratios and diaphragm positions numerically and experimentally. The numerical model was developed to simulate ... -
Polyolefin-Based Smart Self-Healing Composite Coatings Modified with Calcium Carbonate and Sodium Alginate.
( MDPI , 2024 , Article)Corrosion-related damage incurs significant capital costs in many industries. In this study, an anti-corrosive pigment was synthesized by modifying calcium carbonate with sodium alginate (SA), and smart self-healing coatings ... -
Optimization of reliability and maintenance of liquefaction system on FLNG terminals using Markov modelling
( Emerald Group Publishing Ltd. , 2014 , Article)Purpose: The purpose of this paper is to optimize system redundancy and maintenance intervals of a propane pre-cooled mixed refrigerant (C3MR) liquefaction process on floating liquefied natural gas (FLNG) export platforms. ... -
An improved generic Johnson-Cook model for the flow prediction of different categories of alloys at elevated temperatures and dynamic loading conditions
( Elsevier , 2021 , Article)This paper presents a generic model for material flow prediction based on the well-known Johnson-Cook model. The model is developed to precisely predict the flow behavior of various categories of alloys. The coupled ... -
Modeling the flow behavior of Haynes 214 superalloy during hot deformation using mathematical and artificial intelligence-based models
( Elsevier , 2022 , Article)This work proposes, enhances, and compares various mathematical and artificial intelligence-based models for the modeling and prediction of the flow behavior of Haynes 214 superalloy at hot deformation. The utilized models ... -
Experimental Investigation and Uncertainty Prediction of the Load-Carrying Capacity of Composite Double Hat for Lattice Core Sandwich Panels Using Artificial Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Carbon fiber reinforced composites are promising candidates for building advanced multifunctional structures with superior properties that are suitable for the next generation of automotive and aircraft applications. This ... -
Global evaluation of WBGT and SET indices for outdoor environments using thermal imaging and artificial neural networks
( Elsevier , 2020 , Article)The health and well-being of occupants of outdoor environments are largely affected by thermal stress, and therefore a global assessment is essential. Wet-bulb globe-temperature (WBGT) is used as a heat stress indicator ... -
The use of composite to eliminate the effect of welding on the bending behavior of metallic pipes
( Elsevier , 2020 , Article)In this study, the fiber-reinforced polymeric composite (FRP) overwrap system is proposed to eliminate the effect of the heat-affected zone on the pressure capacity and the deterioration property of the welded pipes. The ... -
A novel robust automated FFT-based segmentation and features selection algorithm for acoustic emission condition based monitoring systems
( Elsevier , 2015 , Article)This paper aims at developing a robust, fast-response and automated FFT-based features selection algorithm for the development of acoustic emission practical condition based monitoring applications of mechanical systems. ... -
Experimental investigation and artificial intelligence-based modeling of the residual impact damage effect on the crashworthiness of braided Carbon/Kevlar tubes
( Elsevier , 2020 , Article)Fiber reinforced plastic composites are promising candidates for building the next generation of automotive and aircraft structures. However, these materials are sensitive to any potential impact, which may cause matrix ... -
Rupture of an industrial gfrp composite mitered elbow pipe
( MDPI AG , 2021 , Article)This paper examines the immature rupture of glass fiber reinforced plastic composite (GFRP) mitered elbow pipes. The GFRP composite mitered elbow pipe’s lifespan was twenty-five years; however, the pipes in question ... -
Reliability-based topology optimization using inverse optimum safety factor approaches
( Elsevier , 2020 , Article)The Deterministic Topology Optimization (DTO) model generates a single solution for a given design space, while the Reliability-Based Topology Optimization (RBTO) model provides several reliability-based topology layouts ... -
Efficient system reliability-based design optimization study for replaced hip prosthesis using new optimized anisotropic bone formulations
( MDPI AG , 2020 , Article)An efficient reliability algorithm is developed to transfer the system reliability problem to a single-component reliability problem, considering the uncertainty of loading cases and the material properties. The main ... -
Profitability, reliability and condition based monitoring of LNG floating platforms: A review
( Elsevier , 2015 , Article)The efficiency and profitability of Floating, Production, Storage and Offloading platform (FPSO) terminals depends on various factors such as LNG liquefaction process type, system reliability and maintenance approach. This ...
