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Supervised segmentation with domain adaptation for small sampled orbital CT images J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Sungho Suh,Sojeong Cheon,Wonseo Choi,Yeon Woong Chung,Won-Kyung Cho,Ji-Sun Paik,Sung Eun Kim,Dong-Jin Chang,Yong Oh Lee
Abstract Deep neural networks have been widely used for medical image analysis. However, the lack of access to a large-scale annotated dataset poses a great challenge, especially in the case of rare diseases or new domains for the research society. Transfer of pre-trained features from the relatively large dataset is a considerable solution. In this paper, we have explored supervised segmentation using
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Feature selection algorithm based on density and distance for fault diagnosis applied to a roll-to-roll manufacturing system J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Hyogeun Oh,Yoonjae Lee,Jongsu Lee,Changbeom Joo,Changwoo Lee
Abstract Roll-to-roll systems that include rotary components such as driven rolls and idle rollers have significant potential for application in fabrication of flexible functional devices. They are inexpensive, mass producible, and environmentally friendly; however, even minor defects in their component bearings can render them susceptible to severe damage, which necessitates accurate diagnoses of
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A nested algorithm of truss topology optimization for maximum plastic shakedown loading capacity J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Kai Li,Gengdong Cheng
Abstract This paper proposes a nested algorithm for truss topology optimization under plastic shakedown theory, which aims at maximizing the shakedown loading capacity. The nested algorithm consists of shakedown analysis and sensitivity-based optimization. Analytical sensitivity of shakedown load with respect to the design variables is derived in a concise form for the first time in conjunction with
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Target-biased informed trees: sampling-based method for optimal motion planning in complex environments J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Xianpeng Wang,Xinglu Ma,Xiaoxu Li,Xiaoyu Ma,Chunxu Li
Abstract Aiming at the problem that the progressively optimized Rapidly-exploring Random Trees Star (RRT*) algorithm generates a large number of redundant nodes, which causes slow convergence and low search efficiency in high-dimensional and complex environments. In this paper we present Target-biased Informed Trees (TBIT*), an improved RRT* path planning algorithm based on target-biased sampling strategy
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A hybrid genetic–firefly algorithm for engineering design problems J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 M A El-Shorbagy,Adel M El-Refaey
Abstract Firefly algorithm (FA) is a new random swarm search optimization algorithm that is modeled after movement and the mutual attraction of flashing fireflies. The number of fitness comparisons and attractions in the FA varies depending on the attraction model. A large number of attractions can induce search oscillations, while a small number of attractions can cause early convergence and a large
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Design principle for effective mechanical boundary using a resonance band gap under elastic waves J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Yong Chang Shin,Soo-Ho Jo,Heonjun Yoon,Byeng D Youn
Abstract One representative feature of a locally resonant elastic metamaterial (LREM) is that they can prohibit elastic wave propagation at the frequencies inside a band gap, which means that no energy is transmitted. When an incident wave propagates in a host medium at the frequencies inside band gaps, the incident wave is totally reflected at the interface between the host medium and an LREM. However
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Performance optimization of annealing salp swarm algorithm: frameworks and applications for engineering design J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Jiuman Song,Chengcheng Chen,Ali Asghar Heidari,Jiawen Liu,Helong Yu,Huiling Chen
Abstract Swarm salp algorithm is a swarm intelligence optimization algorithm enlightened by the movement and foraging behaviors of the salp population. The salp swarm algorithm (SSA) has a simple structure and fast processing speed and can gain significant results on objective functions with fewer local optima. However, it has poor exploration ability and is easy to suffer from the local optimal solutions
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A video-based SlowFastMTB model for detection of small amounts of smoke from incipient forest fires J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Minseok Choi,Chungeon Kim,Hyunseok Oh
Abstract This paper proposes a video-based SlowFast model that combines the SlowFast deep learning model with a new boundary box annotation algorithm. The new algorithm, namely the MTB (i.e., the ratio of the number of Moving object pixels To the number of Bounding box pixels) algorithm, is devised to automatically annotate the bounding box that includes the smoke with fuzzy boundaries. The model parameters
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SwinE-Net: hybrid deep learning approach to novel polyp segmentation using convolutional neural network and Swin Transformer J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Kyeong-Beom Park,Jae Yeol Lee
Abstract Prevention of colorectal cancer (CRC) by inspecting and removing colorectal polyps has become a global health priority because CRC is one of the most frequent cancers in the world. Although recent U-Net-based convolutional neural networks (CNNs) with deep feature representation and skip connections have shown to segment polyps effectively, U-Net-based approaches still have limitations in modeling
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Statistical tolerance–cost–service life optimization of blade bearing of controllable pitch propeller considering the marine environment conditions through meta-heuristic algorithm J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Wenhui Zeng,Jin Yi,Rongfu Lin,Wenlong Lu
Abstract Blade bearing is the key mechanism of the controllable pitch propellers (CPPs) to adjust the pitch to change the thrust. In the marine environment, wear and deformation of the contact surface of the blade bearing are quite large, which may result in leakage to reduce the service life of CPP. However, most studies on tolerance optimization of blade bearing disregard deformations and wear, and
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Statistical trajectory-distance metric for nautical route clustering analysis using cross-track distance J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Wonchul Yoo,Tae-wan Kim
ABSTRACT This study presents a novel statistical trajectory-distance metric specialized for nautical route clustering analysis. Based on the dynamic time warping (DTW) metric, one of the most used metrics for trajectory-distance, the statistical trajectory-distance metric was defined by replacing the distance term in DTW with a linear combination of the Jensen–Shannon divergence and Wasserstein distance
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Dividing a sphere into equal-area and/or equilateral spherical polygons J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Anooshe Rezaee Javan,Ting-Uei Lee,Yi Min Xie
Abstract Dividing a sphere uniformly into equal-area or equilateral spherical polygons is useful for a wide variety of practical applications. However, achieving such a uniform subdivision of a sphere is a challenging task. This study investigates two classes of sphere subdivisions through numerical approximation: (i) dividing a sphere into spherical polygons of equal area; and (ii) dividing a sphere
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Future landscape visualization using a city digital twin: integration of augmented reality and drones with implementation of 3D model-based occlusion handling J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-04-01 Naoki Kikuchi,Tomohiro Fukuda,Nobuyoshi Yabuki
Abstract The integration of augmented reality and drones allows past and future landscapes to be visualized from an aerial perspective. However, these visualizations still suffer from the occlusion problem, where the three-dimensional (3D) virtual model displayed in the real world is in front of a real-world object. Currently, city digital twins are essential for the sustainable development of cities
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Evaluation of convection flow and entropy generation in a wavy cubical container with nanofluid and embedded cylinder J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-03-30 Ammar I Alsabery,Mohammad H Yazdi,Evgeny Solomin,Hakan F Öztop,Ishak Hashim
Abstract This work examines steady convection heat transfer and entropy generation in a wavy cubical container with Al2O3–water nanofluid and the solid cylinder. An isothermal embedded heater of finite width is located within the left vertical surface center of the container. All surfaces are insulated, except that the right wavy surface is kept cold, and the left wall is partially heated. The Boussinesq
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Polymer gear contact fatigue reliability evaluation with small data set based on machine learning J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-03-21 Genshen Liu,Peitang Wei,Kerui Chen,Huaiju Liu,Zehua Lu
Abstract Polymer gears have shown potential in power transmission by their comprehensive mechanical properties. One of the significant concerns with expanding their applications is the deficiency of reliability evaluation methods considering small data set circumstances. This work conducts a fair number of polyoxymethylene (POM) gear durability tests with adjustable loading and lubrication conditions
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Significance of Lorentz forces on Jeffrey nanofluid flows over a convectively heated flat surface featured by multiple velocity slips and dual stretching constraint: a homotopy analysis approach J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-03-21 Abdullah Dawar,Abderrahim Wakif,Anwar Saeed,Zahir Shah,Taseer Muhammad,Poom Kumam
Abstract Motivated by the temporal relaxation feature of the Jeffrey model and its practical uses in the rheological modeling of several vital liquids, this study aimed to present a theoretical analysis of three-dimensional MHD Jeffrey nanofluid flows over a dual stretching surface with velocity slip conditions. By adopting the nonhomogeneous nanofluid model along with the passive control approach
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Directional mutation and crossover for immature performance of whale algorithm with application to engineering optimization J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-03-21 Ailiang Qi,Dong Zhao,Fanhua Yu,Ali Asghar Heidari,Huiling Chen,Lei Xiao
Abstract In recent years, a range of novel and pseudonovel optimization algorithms has been proposed for solving engineering problems. Swarm intelligence optimization algorithms (SIAs) have become popular methods, and the whale optimization algorithm (WOA) is one of the highly discussed SIAs. However, regardless of novelty concerns about this method, the basic WOA is a weak method compared to top differential
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An agent-based blackboard system for multi-objective optimization J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-03-21 Ryan Stewart,Todd S Palmer,Samuel Bays
Abstract In the field of multi-objective optimization, there are a multitude of algorithms from which to choose. Each algorithm has strengths and weaknesses associated with the mechanics for finding the Pareto front. Recently, researchers have begun to examine how multi-agent environments can be used to help solve multi-objective optimization problems. In this work, we propose a multi-objective optimization
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Development of optimal water distribution system design and operation approach considering hydraulic and water quality criteria in many-objective optimization framework J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-03-21 Young Hwan Choi
Abstract Water distribution systems (WDSs) are major infrastructure, and it needs to consider economic, hydraulic stability, and water quality safety to optimal design and operation of WDSs. However, the previous studies related to WDS design and operation were focused on each field (i.e. design: optimal pipe diameter, pump sizing, and valve location; operation: optimal pump scheduling, etc.) even
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Weapon compartment layout design method for improving the survivability of a naval ship by considering susceptibility distribution based on radar cross section analysis J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-03-12 Joon-Tae Hwang,Suk-Yoon Hong,Jee-Hun Song,Hyun-Wung Kwon
Abstract The survivability of a naval ship refers to its ability to withstand the damage caused by enemy attacks and to maintain their missions and functions. During naval warfare, if the armed space of a naval ship is exposed to the enemy, even a single shot can damage the combat system. Therefore, it is important to minimize damage to the armed space of naval ships and improve survivability. In this
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Generative design for additive manufacturing using a biological development analogy J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-03-12 Mark Price,Wei Zhang,Imelda Friel,Trevor Robinson,Roisin McConnell,Declan Nolan,Peter Kilpatrick,Sakil Barbhuiya,Stephen Kyle
Abstract The transformation in manufacturing capability being driven by new processes, such as additive manufacturing, offers huge potential for product innovation and opportunity to create bespoke designs tailored to individual specifications or needs. However, current design systems and tools are not yet capable of fully capitalizing on these new technologies and new approaches are needed. Many current
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Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-03-12 Samaneh Mostafapour,Faeze Gholamiankhah,Sirwan Maroufpour,Mehdi Momennezhad,Mohsen Asadinezhad,Seyed Rasoul Zakavi,Hossein Arabi,Habib Zaidi
Abstract We investigate the accuracy of direct attenuation correction (AC) in the image domain for myocardial perfusion SPECT (single-photon emission computed tomography) imaging (MPI-SPECT) using residual (ResNet) and UNet deep convolutional neural networks. MPI-SPECT 99mTc-sestamibi images of 99 patients were retrospectively included. UNet and ResNet networks were trained using non-attenuation-corrected
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Improved binary gaining–sharing knowledge-based algorithm with mutation for fault section location in distribution networks J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Guojiang Xiong,Xufeng Yuan,Ali Wagdy Mohamed,Jun Chen,Jing Zhang
Abstract Fault section location (FSL) plays a critical role in shortening blackout time and restoring power supply for distribution networks. This paper converts the FSL task into a binary optimization problem using the feeder terminal unit (FTU) information. The discrepancy between the reported overcurrent alarms and the expected overcurrent states of the FTUs is adopted as the objective function
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A topology optimization approach to structure design with self-supporting constraints in additive manufacturing J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Zijun Wu,Renbin Xiao
Abstract The manufacturability model of complex structure is the premise of manufacturing, and it is necessary to consider material properties, structure design, manufacturing constraints, and so on. However, due to the inconsistent restrictions between design and manufacturing, it is not easy to obtain the manufacturable structure that matches its design performance using layer-wise manufacturing
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Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Izaz Raouf,Hyewon Lee,Heung Soo Kim
Abstract Recently, prognostic and health management (PHM) has become a prominent field in modern industry. The rotate vector (RV) reducer is one of the widely used mechanical components in industrial systems, specifically in robots. The RV reducer is known for its unique characteristics of small size, efficient speed transmission, and high torsion. The RV reducer is prone to several kinds of faults
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Attention-based spatial–temporal neural network for accurate phase recognition in minimally invasive surgery: feasibility and efficiency verification J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Pan Shi,Zijian Zhao,Kaidi Liu,Feng Li
Abstract Laparoscopic surgery, as a representative minimally invasive surgery (MIS), is an active research area of clinical practice. Automatic surgical phase recognition of laparoscopic videos is a vital task with the potential to improve surgeons’ efficiency and has gradually become an integral part of computer-assisted intervention systems in MIS. However, the performance of most methods currently
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Development of a cost analysis-based defect-prediction system with a type error-weighted deep neural network algorithm J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Jun Kim,Ju Yeon Lee
Abstract With the growing interest in smart factories, defect-prediction algorithms using data analysis techniques are being developed and applied to solve problems caused by defects at manufacturing sites. Cost benefit is an important factor to consider, and can be obtained by applying such algorithms. Existing defect-prediction algorithms usually aim to reduce the error rate of the prediction model
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Computational co-design framework for coreless wound fibre–polymer composite structures J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Gil Pérez M, Zechmeister C, Kannenberg F, et al.
AbstractIn coreless filament winding, resin-impregnated fibre filaments are wound around anchor points without an additional mould. The final geometry of the produced part results from the interaction of fibres in space and is initially undetermined. Therefore, the success of large-scale coreless wound fibre composite structures for architectural applications relies on the reciprocal collaboration
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Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Houssein E, Abohashima Z, Elhoseny M, et al.
AbstractDespite the great efforts to find an effective way for coronavirus disease 2019 (COVID-19) prediction, the virus nature and mutation represent a critical challenge to diagnose the covered cases. However, developing a model to predict COVID-19 via chest X-ray images with accurate performance is necessary to help in early diagnosis. In this paper, a hybrid quantum-classical convolutional neural
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Application of artificial neural network for lubrication performance evaluation of rough elliptic bore journal bearing J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Pradhan S, Mishra P, Mishra P.
AbstractIn this study, rough elliptic bore journal bearing performance is predicted using an artificial neural network (ANN) technique. The effects of non-circularity and roughness are quantified to elliptic and isotropic in macro and micro scale, respectively. The numerically estimated performance parameters like load, friction, and flow-in at different eccentricities [0.3 (low), 0.5 (medium), and
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Benchmarking anthropomorphic hands through grasping simulations J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Llop-Harillo I, Iserte J, Pérez-González A.
AbstractIn recent decades, the design of anthropomorphic hands has been developed greatly improving both cosmesis and functionality. Experimentation, simulation, and combined approaches have been used in the literature to assess the effect of design alternatives (DAs) on the final performance of artificial hands. However, establishing standard benchmarks for grasping and manipulation is a need recognized
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Traffic control hand signal recognition using convolution and recurrent neural networks J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-25 Baek T, Lee Y.
AbstractGesture understanding is one of the most challenging problems in computer vision. Among them, traffic hand signal recognition requires the consideration of speed and the validity of the commanding signal. The lack of available datasets is also a serious problem. Most classifiers approach these problems using the skeletons of target actors in an image. Extracting the three-dimensional coordinates
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Corrigendum to: Design of wood-like metallic material using metal sheet architecture J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-10 Han S, Eom H, Lee M, et al.
In the originally published version of this manuscript, there were errors in several author names.
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Lightweight design with metallic additively manufactured cellular structures J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-02 Nguyen P, Kim Y, Choi Y.
AbstractLightweight design is essential in modern product development and is prevalent in automotive, aerospace, and biomedical applications. The utilization of cellular structure, aided by advancements in additive manufacturing, is among the most effective methods for achieving lightweight design without sacrificing structural integrity and functionality. In this paper, a stress-based structural optimization
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The protection and recovery strategy development of dynamic resilience analysis and cost consideration in the infrastructure network J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-02 Su Y, Yeh W.
AbstractModern life is becoming more and more convenient, all because of the perfect operation of the infrastructure network. However, if these infrastructure networks encounter interference, the operation of the network system will be delayed or even shut down, often causing huge losses in livelihood, economy, and society. Therefore, how to evaluate the resilience of the network system and provide
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Anomaly detection with vision-based deep learning for epidemic prevention and control J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-02 Samani H, Yang C, Li C, et al.
AbstractDuring the COVID-19 pandemic, people were advised to keep a social distance from others. People’s behaviors will also be noticed, such as lying down because of illness, regarded as abnormal conditions. This paper proposes a visual anomaly analysis system based on deep learning to identify individuals with various anomaly types. In the study, two types of anomaly detections are concerned. The
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Experimental and numerical analysis of laminated carbon fibre-reinforced polymer gears with implicit model for coefficient-of-friction evaluation J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-02 Černe B, Bergant Z, Šturm R, et al.
AbstractLaminated composites have so far received little attention as a potential material for gear drive applications. In the presented study, the thermomechanical performance of a newly developed type of epoxy impregnated, autoclave-cured carbon fibre-reinforced polymer gear—running in pair with a steel pinion—was analysed, using a combination of experimental and numerical approaches. The employed
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Thermal performance comparative analysis of nanofluid flows at an oblique stagnation point considering Xue model: a solar application J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-02 Ramzan M, Shahmir N, Alotaibi H, et al.
AbstractThis exploration aims to study the comparison of heat transfer capabilities of two nanofluid oblique, steady stagnation-point flow combinations comprising single-walled carbon/water (SWCNHs/water) and multiwalled carbon nanotube/water (MWCNTs/water) toward a stretching surface influenced by nonlinear thermal radiation employing the Xue model. This envisaged comparison model is inimitable and
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Method for solving origami tessellation hole problem using triangle twist folding J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-02 Yamamoto Y, Nakazato R, Mitani J.
AbstractOrigami tessellations are geometric pieces folded from a single sheet of paper with flatly overlapped facets. Most existing origami tessellations are constructed by first marking a grid of crease lines on the paper and then arranging repeating patterns along the grid. However, this design method is limited because it cannot design origami tessellations with patterns that cannot be represented
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Computational investigation of the post-yielding behavior of 3D-printed polymer lattice structures J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-02 Fadeel A, Abdulhadi H, Newaz G, et al.
AbstractSandwich structures are widely used due to their light weight, high specific strength, and high specific energy absorption. Three-dimensional (3D) printing has recently been explored for creating the lattice cores of these sandwich structures. Experimental evaluation of the mechanical response of lattice cell structures (LCSs) is expensive in time and materials. As such, the finite element
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Chaotic Harris hawks optimization algorithm J. Comput. Des. Eng. (IF 4.9) Pub Date : 2022-02-01 Harun Gezici,Haydar Livatyalı
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Multidisciplinary design optimization in design for additive manufacturing J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-30 Liu G, Xiong Y, Rosen D.
ABSTRACTDesign for additive manufacturing (AM) involves decision making in various design domains, including product design, material selection, and process planning. In practice, engineers typically adopt a sequential design process to optimize these design domains in consecutive order. However, coupling factors, e.g. shared variables, related constraints, and conflicting objectives, are not sufficiently
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Topology optimization of irregular flow domain by parametric level set method in unstructured mesh J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-30 Li J, Gao L, Ye M, et al.
ABSTRACTIn this study, we present a novel method for the topology optimization of the irregular flow domain using a parametric level set method (PLSM). Some improvement was applied on the CS-RBFs (radial basis functions with compact support)-based PLSM to make it suitable for nonuniform mesh, expanding the range field of engineering application of the PLSM. The optimization problem is solved by a gradient-based
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Two-dimensional frictionless large deformation contact problems using isogeometric analysis and Nitsche’s method J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-30 Zhao G, Zhang R, Wang W, et al.
ABSTRACTThe simulation of large deformation contact problems has been a tough subject due to the existence of multiple nonlinearities, including geometric nonlinearity and contact interface nonlinearity. In this paper, we develop a novel method to compute the large deformation of 2D frictionless contact by employing Nitsche-based isogeometric analysis. The enforcement of contact constraints as one
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Past, present, and future research of digital twin for smart manufacturing J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-30 Son Y, Kim G, Kim H, et al.
ABSTRACTIn the era of the Fourth Industrial Revolution, there is a growing focus on digital twin (DT) in order to advance toward smart manufacturing. Thus, researchers have conducted numerous studies on DT and extensively developed related technologies. There are many studies that apply and analyse DT to actual manufacturing sites for the realization of a smart factory, but it is necessary to clearly
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Dataset and method for deep learning-based reconstruction of 3D CAD models containing machining features for mechanical parts J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-30 Lee H, Lee J, Kim H, et al.
ABSTRACTThree-dimensional (3D) computer-aided design (CAD) model reconstruction techniques are used for numerous purposes across various industries, including free-viewpoint video reconstruction, robotic mapping, tomographic reconstruction, 3D object recognition, and reverse engineering. With the development of deep learning techniques, researchers are investigating the reconstruction of 3D CAD models
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Multi-objective equilibrium optimizer: framework and development for solving multi-objective optimization problems J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-30 Premkumar M, Jangir P, Sowmya R, et al.
ABSTRACTThis paper proposes a new Multi-Objective Equilibrium Optimizer (MOEO) to handle complex optimization problems, including real-world engineering design optimization problems. The Equilibrium Optimizer (EO) is a recently reported physics-based metaheuristic algorithm, and it has been inspired by the models used to predict equilibrium state and dynamic state. A similar procedure is utilized in
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A heterogeneous lattice structure modeling technique supported by multiquadric radial basis function networks J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-30 Liu Y, Yang H, Zhao Y, et al.
ABSTRACTWith the rapid advancement of the multimaterial additive manufacturing (AM) technology, the heterogeneous lattice structures (HLSs) comprising the multiphase materials with gradual variations have become feasible and accessible to the industry. However, the multimaterial AM capabilities have far outpaced the modeling capability of design systems to model and thus design novel HLSs. To further
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Minimize makespan of permutation flowshop using pointer network J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-30 Cho Y, Nam S, Cho K, et al.
ABSTRACTDuring the shipbuilding process, a block assembly line suffers a bottleneck when the largest amount of material is processed. Therefore, scheduling optimization is important for the productivity. Currently, sequence of inbound products is controlled by determining the input sequence using a heuristic or metaheuristic approach. However, the metaheuristic algorithm has limitations in that the
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Finite element compatible matrix interpolation for parametric model order reduction of electrothermal microgripper J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-01 Ananya Roy,M Nabi,Najmur Rahman
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Corrigendum to: Entropy generation as a practical tool of optimization for non-Newtonian nanofluid flow through a permeable stretching surface using SLM J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-12-01 M M Bhatti,T Abbas,M M Rashidi
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Methodology for the integration of a high-speed train in Maintenance 4.0 J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-11-26 Alejandro Bustos,Higinio Rubio,Enrique Soriano-Heras,Cristina Castejon
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Proposal of the energy consumption analysis process for the residential houses using big data analytics technique J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-11-26 W Pak,Inhan Kim,Jungsik Choi
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Predictive simulation for the design of robotic solution to mobility aid J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-11-26 ChengXin Yin,Abderraouf Benali,Frédéric Kratz
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Design synthesis and optimization of a 4-SPS intrinsically compliant parallel wrist rehabilitation robotic orthosis J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-11-11 Shahid Hussain,Prashant K Jamwal,Paulette Van Vliet
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Ensemble learning-based hierarchical retrieval of similar cases for site planning J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-11-11 Pengyue Wang,Maozu Guo,Yunsong Han,Lingling Zhao,Xiaoping Zhou,Dayu Zhang
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Manifestation of lattice topology data model for indoor navigation path based on the 3D building environment J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-10-29 Syed Ahmad Fadhli Syed Abdul Rahman, Khairul Nizam Abdul Maulud, Biswajeet Pradhan, Sharifah Nurul Ain Syed Mustorpha
Navigation, also known as discovering one’s direction, is a complex human activity. To produce effective routes, it relies on knowledge of the surroundings’ precise geometry and semantic information. Complex geometrical data can be precisely delineated with the improvement of 3D geometric models. A precise 3D geometric model containing a specifically built-in Building Information Modelling (BIM) environment
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Recent use of deep learning techniques in clinical applications based on gait: a survey J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-10-29 Matsushita Y, Tran D, Yamazoe H, et al.
AbstractGait analysis has been studied for a long time and applied to fields such as security, sport, and medicine. In particular, clinical gait analysis has played a significant role in improving the quality of healthcare. With the growth of machine learning technology in recent years, deep learning-based approaches to gait analysis have become popular. However, a large number of samples are required
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Designing a green home healthcare network using grey flexible linear programming: heuristic approaches J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-10-23 Goodarzian F, Abraham A, Ghasemi P, et al.
AbstractIn developing countries, the demand for old aged people requiring private health care at home is dramatically growing with the improvement of living standards. Since vehicles are used for transferring the medical staff (or doctors) to patient homes, it may be interesting to select a vehicle type based on the cost, capacity, and environmental sustainability (fuel consumption and CO2 gas emission
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Computational design and workspace analysis of a passive motion-scaling mechanism based on pantograph for microsurgery J. Comput. Des. Eng. (IF 4.9) Pub Date : 2021-10-23 Tae-Hoon Lee, Dongeun Choi, Woosub Lee
Robot-assisted surgery has been extensively applied in various microsurgical disciplines owing to its enhanced accuracy and dexterity based on the motion-scaling function between a hand and a surgical instrument. However, the surgical robot system developed thus far incurs high manufacturing costs and restricted compatibility due to the complicated control system, including many actuators and sensors