Mechanical & Industrial Engineering: Recent submissions
Now showing items 181-200 of 1457
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Composite Plastic Hybrid for Automotive Front Bumper Beam
( MDPI , 2023 , Article)The bumper beam is a crucial component of the automobile bumper system, responsible for absorbing impact energy and enhancing the safety of passengers during collisions. This paper presents the design and experimental ... -
Business Process Re-Engineering: A Literature Review-Based Analysis of Implementation Measures
( MDPI , 2022 , Article)Business process re-engineering (BPR) is an approach to improving organizational performance. It evolved mostly within the private sector to maintain a successful business model despite increasing global competition. BPR ... -
How eco-efficient are electric vehicles across Europe? A regionalized life cycle assessment-based eco-efficiency analysis
( John Wiley and Sons Ltd , 2021 , Article)Sustainable transportation is at the hearth of the United Nation's Sustainable Development Goals (SDGs) and is directly linked to many SDGs including SDG3 (good health and well-being), SDG11 (sustainable cities and societies), ... -
Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule
( Elsevier , 2020 , Article)High-dimensional variability monitoring and diagnosing is of great prominence for the quality improvement and cost reduction. Most of the existing control charts are mainly based on the assumption that the in-control ... -
Modeling the Impact of Weather Conditions on Pedestrian Injury Counts Using LASSO-Based Poisson Model
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)Statistical models for measuring the impact of adverse weather conditions on pedestrian injuries are of great importance for enhancing road safety measures. The development of these models in the presence of high collinearity ... -
Monitoring of simple linear quality profiles using dEWMA statistic under uncertainty of process deviations
( IEOM Society , 2019 , Conference)The quality of process or product is often characterized by the univariate or multivariate distribution of quality characteristics. The linear profiles are widely used to model the relationship between dependent and ... -
Modeling the Relationship between Business Process Reengineering and Organizational Culture
( MDPI , 2022 , Article)Business process reengineering (BPR) has been widely known for its effectiveness in generating chances for organizational improvement. Understanding and modeling the relationship between the factors that contribute to the ... -
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals
( Elsevier , 2022 , Article)Backgroundand Motivations: Continuous Blood Pressure (BP) monitoring is crucial for real-time health tracking, especially for people with hypertension and cardiovascular diseases (CVDs). The current cuff-based BP monitoring ... -
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, ... -
Nonlinear analysis of shell structures using image processing and machine learning
( Elsevier , 2023 , Article)In this paper, we propose a novel approach to solve nonlinear stress analysis problems in shell structures using an image processing technique. In general, such problems in design optimisation or virtual reality applications ... -
Gas turbine failure classification using acoustic emissions with wavelet analysis and deep learning
( Elsevier , 2023 , Article)Compared to vibration monitoring, acoustic emission (AE) monitoring in gas turbines is highly sensitive to changes that do not involve whole-body motion, such as wear, rubbing, and fluid-induced faults. AE signals captured ... -
Design and testing of a hybrid electromagnetic damping device for automotive applications
( Elsevier , 2024 , Article)This study proposes a new design concept for combining a viscous fluid damper (VFD) with an eddy current damper (ECD). Three main concepts were thoroughly discussed: the magnetic system, the conductive material, and the ... -
MODAL CHARACTERIZATION AND ROAD ROUGHNESS RECONSTRUCTION USING DYNAMIC VEHICLE ACCELERATIONS AND ANNS
( National Technical University of Athens , 2023 , Conference)Road networks are considered huge and critical infrastructures that support the development and growth of societies. These infrastructures deteriorate over time due to regular usage and/or external environmental factors. ... -
Investigating the effect of using softer rail-pads on ground-borne vibration from underground railways
( Taylor and Francis Ltd. , 2023 , Article)In this study, a series of vibration measurements were performed on a section of one of the lines of the Doha Metro to explore the effect of changing rail-pads from conventional higher stiffness under-rail pads to lower ... -
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 ... -
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 ... -
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. -
Optimization of Viscoelastic Metamaterials for Vibration Attenuation Properties
( World Scientific , 2020 , Article)Metamaterials (MMs) are composites that are artificially engineered to have unconventional mechanical properties that stem from their microstructural geometry rather than from their chemical composition. Several studies ...
