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  • Open Access

    PROCEEDINGS

    Prediction of Ductile Fracture for Ti-6Al-4V Alloy Fabricated by L-PBF Based on Unit Cell Calculations

    Baisen Gao1, Wei Huang1,*, Shengnan Wang1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.4, pp. 1-2, 2023, DOI:10.32604/icces.2023.010553

    Abstract Additive manufacturing of metallic components can result in initial defects that significantly reduce their mechanical properties [1]. Therefore, there has been considerable interest in studying the fracture and damage behavior of such components through theoretical and experimental studies [2, 3]. Developing a reliable model for predicting the ductile fracture of additively manufactured components is currently of great importance. In this study, we conducted unit cell calculations with the calibration of experimental tests to investigate the ductile fracture of Ti-6Al-4V alloy fabricated through additive manufacturing. The stress triaxiality and Lode parameter were enforced constant for the voided cubic unit cell model… More >

  • Open Access

    ARTICLE

    Early Detection of Colletotrichum Kahawae Disease in Coffee Cherry Based on Computer Vision Techniques

    Raveena Selvanarayanan1, Surendran Rajendran1,*, Youseef Alotaibi2

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 759-782, 2024, DOI:10.32604/cmes.2023.044084

    Abstract Colletotrichum kahawae (Coffee Berry Disease) spreads through spores that can be carried by wind, rain, and insects affecting coffee plantations, and causes 80% yield losses and poor-quality coffee beans. The deadly disease is hard to control because wind, rain, and insects carry spores. Colombian researchers utilized a deep learning system to identify CBD in coffee cherries at three growth stages and classify photographs of infected and uninfected cherries with 93% accuracy using a random forest method. If the dataset is too small and noisy, the algorithm may not learn data patterns and generate accurate predictions. To overcome the existing challenge,… More >

  • Open Access

    ARTICLE

    Use of Additive Based on Non-Timber Forest Products for the Ecological Stabilization of Raw Earth: Case of the Parkia Biglobosa Nut and Vitellaria Paradoxa

    Bio Chéïssou Koto Tamou1,2,3, Jean-Michel Mechling2, Crespin Prudence Yabi1,*, Gildas Edjrossè F. Godonou3, Edmond Codjo Adjovi1, Mohamed Gibigaye3, André Lecomte2, Nicolas Brosse4

    Journal of Renewable Materials, Vol.11, No.12, pp. 4143-4160, 2023, DOI:10.32604/jrm.2023.030509

    Abstract The housing sector today uses elaborate materials such as cement, iron, sand, often prohibitively expensive and whose production generates a strong environmental impact (scarcity of resources, transport, greenhouse gas greenhouse, etc.). In order to meet the challenges of sustainable development, earth construction is experiencing a resurgence of interest these days. Despite its many advantages, raw earth material has drawbacks, in particular its low mechanical resistance and its loss of geometric characteristics in the face of water, which slow down its development. As part of this study, the mechanical characteristics and durability of raw earth were improved by using residual water… More > Graphic Abstract

    Use of Additive Based on Non-Timber Forest Products for the Ecological Stabilization of Raw Earth: Case of the Parkia Biglobosa Nut and Vitellaria Paradoxa

  • Open Access

    ARTICLE

    Explainable Artificial Intelligence-Based Model Drift Detection Applicable to Unsupervised Environments

    Yongsoo Lee, Yeeun Lee, Eungyu Lee, Taejin Lee*

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1701-1719, 2023, DOI:10.32604/cmc.2023.040235

    Abstract Cybersecurity increasingly relies on machine learning (ML) models to respond to and detect attacks. However, the rapidly changing data environment makes model life-cycle management after deployment essential. Real-time detection of drift signals from various threats is fundamental for effectively managing deployed models. However, detecting drift in unsupervised environments can be challenging. This study introduces a novel approach leveraging Shapley additive explanations (SHAP), a widely recognized explainability technique in ML, to address drift detection in unsupervised settings. The proposed method incorporates a range of plots and statistical techniques to enhance drift detection reliability and introduces a drift suspicion metric that considers… More >

  • Open Access

    PROCEEDINGS

    Anisotropic Mechanical Behaviors of Alsi10Mg Alloy Fabricated by Additive Manufacturing: Experiments and Modeling

    Shi Dai1, Yanping Lian1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.010175

    Abstract In recent years, metal additive manufacturing (AM) has gained increasing attention from various industries. However, there are few studies on the thermal deformation behavior of additively manufactured metallic components, which is vital to pushing its applications’ boundary. In this work, we first experimentally investigate the mechanical behavior of AlSi10Mg produced by laser powder bed fusion under different temperatures and strain rates. A crystal plasticity finite element model is adopted to provide insights into the intrinsic deformation mechanisms. The model is validated by comparing it with the flow behaviors and dislocation evolutions observed in experiments at different conditions. The strain distributions… More >

  • Open Access

    PROCEEDINGS

    Microstructures and Nanomechanical Properties of Additively Manufactured Metallic Stents

    Enzoh Langi1, Liguo Zhao2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.010163

    Abstract Additive manufacturing emerges as an innovative technology to fabricate medical stents used to treat blocked arteries. However, there is a lack of study of underlying microstructure and mechanical properties of additively manufactured stent. In this work, additively manufactured 316L stainless steel stent was investigated, with electrochemical polishing being used to improve the surface finish. Microstructural characterisation was carried out using optical microscopy, scanning electron microscopy, and electron backscatter diffraction. The hardness and elastic modulus were measured using Berkovich nanoindentation, with an emphasis on the effect of grain orientation. In addition, spherical nanoindentation was used to obtain indentation stress-strain curves based… More >

  • Open Access

    PROCEEDINGS

    Design and Deformation Behavior of Multi-phase Mechanical Metamaterials

    Huitian Wang1, Junjie You1, Sha Yin1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.010417

    Abstract Strong and tough mechanical metamaterials are highly demanded in engineering application. Nature inspired dual-phase metamaterial composites was developed and examined, by employing architectured lattice materials with different mechanical properties respectively as the constituent matrix and reinforcement phases. Then, the reinforcement phase was incorporated into the matrix phase with specific patterning. The composite metamaterials were simply fabricated using additive manufacturing. From quasistatic compression tests, the strength and toughness could be simultaneously enhanced after the addition of reinforcement phase grains. Through simulation modeling, effects of dual-phase distribution, elementary architecture, parent material and defects on mechanical properties of dual-phase mechanical metamaterials were investigated.… More >

  • Open Access

    PROCEEDINGS

    Investigation for Fast Prediction of Residual Stresses and Deformations of Metal Additive Manufacturing

    Yabin Yang1,*, Yanfei Wang1, Quan Li2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09842

    Abstract Residual stresses and deformations are one of the challenges needs to solve for metal additive manufacturing part. Finite element method plays an important role in predicting the residual stresses and deformations to reduce the experimental costs, and provides a powerful tool for the optimization of process parameters and scanning strategies of heat source. However, the key problem in simulation is the mismatch between the melt pool and the built part in both spatial and temporal scale. This would result in large discretization in both spatial and temporal domains in the simulation, which gives rise to huge computational cost. Therefore, it… More >

  • Open Access

    REVIEW

    RECENT DEVELOPMENTS IN HIGH TEMPERATURE HEAT EXCHANGERS: A REVIEW

    Xiang Zhang, Hadi Keramati, Martinus Arie, Farah Singer, Ratnesh Tiwari, Amir Shooshtari, Michael Ohadi*

    Frontiers in Heat and Mass Transfer, Vol.11, pp. 1-14, 2018, DOI:10.5098/hmt.11.18

    Abstract Heat exchangers are key components of most power conversion systems, a few industrial sectors can particularly benefit from high temperature heat exchangers. Examples include conventional aerospace applications, advanced nuclear power generation systems, and high efficiency stationary and mobile modular fossil fuel to shaft power/electricity conversion systems. This paper provides a review of high temperature heat exchangers in terms of build materials, general design, manufacturing techniques, and operating parameters for the selected applications. Challenges associated with conventional and advanced fabrication technologies of high temperature heat exchangers are discussed. Finally, the paper outlines future research needs of high temperature heat exchangers. More >

  • Open Access

    ARTICLE

    Multifunctional Lubricant Additive Improves Lubrication and Antioxidation Properties of Tung Oil

    Na Yao1, Haiyang Ding1,2,*, Mei Li1, Shouhai Li1,2, Lina Xu1, Xiaohua Yang1

    Journal of Renewable Materials, Vol.11, No.7, pp. 3115-3128, 2023, DOI:10.32604/jrm.2023.026823

    Abstract It is of considerable significance to develop efficient and environmentally friendly machinery lubricant additives because of the increasing depletion of petrochemical resources and severe environmental problems. Herein, we proposed a facile strategy to synthesize a multifunctional vegetable oil-based lubricant via the lignin derivative vanillin coupled to amine and diethyl phosphite to produce a lubricating additive with both extreme pressure and antioxidant properties. Compared with pure tung oil, the lubricating and antioxidant performance of tung oil is significantly improved after adding additives. Adding the 1.0 wt% additive to the tung oil reduced the friction wear coefficient and the volume, and the… More > Graphic Abstract

    Multifunctional Lubricant Additive Improves Lubrication and Antioxidation Properties of Tung Oil

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