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Study of the Strength Characteristics of the Support Frame of Horizontal Roller Mill in NX CAE
The grinding process is one of the main ones in the manufacture of many building materials, such as cement, limestone, gypsum, etc. The design of...
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Segmentation of Satellite Images Using Contractive Autoencoder (CAE) Aided Deep Learning Approach
The reliable extraction of contents from satellite images is a challenging problem as these images are very much useful in many real-life...
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Strategies for adjusting process parameters in CAE simulation to meet real injection molding condition of screw positions and cavity pressure curves
Numerical simulations of polymer melt flow behavior in mold cavities help optimize process parameters. However, mathematical models, processing...
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CW-CAE: Pulmonary Nodule Detection from Imbalanced Dataset Using Class-Weighted Convolutional Autoencoder
A Class-Weighted Convolutional Autoencoder (CW-CAE) is proposed in this paper to resolve the skewed class distribution found in lung nodule image...
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Optimization Design of Refrigerator Turnover Beam Based on CAE Simulation Technology
In the current design of refrigerator turnover beam, it mainly depends on the experience of structural engineers. The overturned beam often has...
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Product Development of Electrical Appliance in Injection Molding Process with the Application of Computer-Aided Modeling (CAM) and Computer-Aided Engineering (CAE)
Injection molding is common manufacturing process that produces thermoplastic products by injecting molten plastic into a mold that emulates the...
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Development of a Web-Based Open Source CAE Platform for Simulation of IC Engines
Computer Aided Engineering (CAE) software has become an essential element in design, simulation, manufacturing and even marketing in the automotive...
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Online quantitative monitoring of milling cutter health condition based on deep convolutional autoencoder
The health condition of milling cutters (HCOMC) could heavily affect workpiece quality. However, it is extremely difficult to be quantified online....
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Feasibility study of using digital twins for conceptual design of air-quenching processes
The concepts of digital twins (DTs) have been widely studied to predict system performance, shorten design cycles, and implement preventive...
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Simple Fatigue Crack Propagation Evaluation by Enhanced Reference Stress Method Using Open-Source CAE
Although J-integral type fracture mechanics parameters are effective for estimating crack propagation behaviors under elastic–plastic situations such...
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Analytical investigation and cost comparison on voided slab using ABAQUS
These days, several research projects examine the impact of voids in concrete components, particularly in voided slabs. The idea behind voided...
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CAD/CAE Tools and Additive Manufacturing to Reduce the Impacts of Critical Equipment Shutdown on Production Planning
When a breakdown affects critical equipment, spare parts must be supplied in the shortest possible time. If local distributors are not available, a...
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Research and Improvement on Protection of the Occupants of a Light Commercial Vehicle Cab
In the process of upgrading and develo** the cab structure of a light vehicle, the CAE simulation shows that the initial cab structure does not...
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Convolutional Autoencoder for Filtering of Power-Line Interference with Variable Amplitude and Frequency: Study of 12-Lead PTB-XL ECG Database
This study aims to explore a new deep learning strategy for electrocardiogram (ECG) denoising under adverse conditions of non-stationary power-line...
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Slow Flow in Upsetting Titanium Rods
AbstractThe sha** of an element of titanium rod in hot stam** is considered. In CAE (computer-aided engineering) modeling, the deformation of...
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Structure Optimization with Metaheuristic Algorithms and Analysis by Finite Element Method
In engineering, design is made by considering functionality, reliability, manufacturability, usability, and total cost. There are a wide variety of...
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Semi-supervised underwater acoustic source localization based on residual convolutional autoencoder
Passive localization of underwater targets was a thorny problem in underwater acoustics. For traditional model-driven passive localization methods,...
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Early seizure detection in childhood focal epilepsy with electroencephalogram feature fusion on deep autoencoder learning and channel correlations
Recognition of epileptic electroencephalogram (EEG) signals is vital to epileptic seizure detection. Current research on seizure detection mostly...
