Mechanical & Industrial Engineering: Recent submissions
Now showing items 281-300 of 1539
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Reconstruction of Road Defects from Dynamic Vehicle Accelerations by Using the Artificial Neural Networks
( Springer Science and Business Media B.V. , 2023 , Conference)Monitoring of roads is considered the first step in establishing a successful road maintenance program, which includes scheduling adequate maintenance to a certain road section at the right time. Road monitoring assesses ... -
Fault classification using convolutional neural networks and color channels for time-frequency analysis of acoustic emissions
( SAGE Publications Inc. , 2023 , Article)We present a novel method for real-time fault classification using the time history of acoustic emissions (AEs) recorded from a lab-scale gas turbine operating under normal and faulty conditions across multiple turbine ... -
A MEASUREMENT CAMPAIGN TO INVESTIGATE THE EFFECT OF USING SOFT RAILPADS ON GROUND-BORNE VIBRATIONS FROM UNDERGROUND RAILWAYS
( Society of Acoustics , 2023 , Conference)Railway networks may run through or beneath populated regions and significant landmarks. Hence, the ground-borne vibration caused by the trains might affect nearby buildings, residents, and the sensitive equipment within ... -
Publisher Correction: Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
( Springer , 2023 , Article)The publication of this article unfortunately contained a mistake, the Figs. 12b and 14b were missing. Below you can find the complete Figs. 12b and 14b: The original article has been corrected. -
Using probabilistic neural networks for modeling metal fatigue and random vibration in process pipework
( John Wiley and Sons Inc , 2022 , Article)Many experiments are usually needed to quantify probabilistic fatigue behavior in metals. Previous attempts used separate artificial neural network (ANN) to calculate different probabilistic ranges which can be computationally ... -
Road Profile Estimation Using Full/Quarter-Car Model with Artificial Neural Networks
( Springer Science and Business Media Deutschland GmbH , 2024 , Conference)The monitoring of road roughness is one of the first and most critical steps in road maintenance. Road networks need constant maintenance to function properly and avoid any hazardous accidents or blockage of the traffic ... -
Classification of Process Pipework Vibration Using Machine Learning
( Springer Science and Business Media Deutschland GmbH , 2024 , Conference)This paper aims to use a deep convolution neural network (CNN) to classify pipework vibrations. Vibration levels are a good indicator of the risk of vibration-induced fatigue failures (VIF). Vibrations in pipework are very ... -
Optimising stop-bands in periodic waveguides using genetic algorithms and wave finite element method
( American Institute of Physics , 2024 , Conference)In this paper, we propose using the wave finite element method and genetic algorithms to design periodic waveguide structures with optimal stop-bands. Instead of modelling waveguides using the standard finite element method, ... -
Islamisation of engineering education - A case at IIUM
( Horizon Research Publishing , 2020 , Article)Seeking knowledge and continuing education are very important elements in Islam. All Muslims (both male and female) are required to make sincere efforts to acquire knowledge for the benefits of themself and the society; ... -
Estimation and measurement of effective line mobility on a non-deterministic thin plate excited by a piezoelectric patch
( EXTRICA , 2020 , Article)This paper derived the expression to estimate the effective line moment mobility of a non-deterministic thin plate under moment excitation by a piezoelectric patch actuator. The piezoelectric patch actuator is assumed to ... -
Pavement condition analysis via vehicle mounted accelerometer data
( International Islamic University Malaysia-IIUM , 2020 , Article)Road anomalies and irregularities such as potholes and uneven surfaces are a common hazard in South East Asia and developing countries. Such hazards pose a threat to the safety and well-being of both civilians going about ... -
Hysteresis behaviour of different magnetorheological elastomer models: Modelling and simulation
( EXTRICA , 2020 , Conference)Smart materials are materials by which their properties can be altered due to external stimuli such as temperature, pressure, and magnetic field. Magnetorheological Elastomer (MRE) is a type of smart composite material ... -
Geometrical investigation of piezoelectric patches for broadband energy harvesting in non-deterministic composite plates
( MDPI , 2021 , Article)Mechanical energy is the most ubiquitous form of energy that can be harvested and converted into useful electrical power. For this reason, the piezoelectric energy harvesters (PEHs), with their inherent electromechanical ... -
Optimal piezoelectric shunt dampers for non-deterministic substructure vibration control: estimation and parametric investigation
( Nature Research , 2021 , Article)Piezoelectric (PZT) shunt damping is an effective method to dissipate energy from a vibrating structure; however, most of the applications focus on targeting specific modes for structures vibrating at low-frequency range, ... -
Development and Implementation of Energy-Efficient Magnetorheological Fluid Bypass Damper for Prosthetics Limbs Using a Fuzzy-Logic Controller
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Walking behaviour in amputees with lower-limb loss is absent from shock-absorbing properties. A damper can be used to reduce the impact of ground reaction force (GRF) during heel strikes. Magnetorheological fluid (MRF) ... -
Parametric Estimation from Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The nonlinearity behaviour of magnetorheological fluid (MRF) can be described using a number of established models such as Bingham and Modified Bouc-Wen models. Since these models require the identification of model ... -
Optimization of piezoelectric sensor-actuator for plate vibration control using evolutionary computation: Modeling, simulation and experimentation
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The development of lightweight, stronger, and more flexible structures has received the utmost interest from many researchers. For this reason, piezoelectric materials, with their inherent electromechanical coupling, have ... -
3D numerical modelling and analysis of a magnetorheological elastomer (MRE)
( EXTRICA , 2020 , Article)Magneto rheological elastomer (MRE) is a smart material consists of a polymer matrix embedded micro/nano-sized magnetic particles. Its mechanical properties are altered by external magnetic fields. In this article, a ... -
Magnetorheological elastomer-based variable stiffness flexible coupling for vibration isolation
( Canadian Science Publishing , 2021 , Article)Rotating mechanical equipment such as pumps and motors can suffer from unattenuated torsional vibration. The causes of such vibration range from imbalance within the rotating system to misalignment, or even operating at ... -
A hybrid piezoelectric-electromagnetic nonlinear vibration energy harvester excited by fluid flow
( Academie des sciences , 2021 , Article)Energy harvesting mechanisms can be used to extract energy from ambient surroundings to power small electronic devices, which has a significant advantage in realizing self-sustaining wireless devices. The proposed design ...
