Junshan Hu^1,2,*, Shiqing Mi¹, Jinrong Fang¹, Wei Tian¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.011840

Abstract This research aims to investigate efficient repair techniques of cracked Ti-alloy aircraft structures with adhesively bonded carbon fiber-reinforced polymer composite patches. The repaired specimens in the configuration of a Ti-alloy butt joint with one-side bonded composite patch were prepared under multiple repair factors including patch thickness, patch length, adhesive thickness, cure pressure, patch layup and surface treatment. The repair efficiency was evaluated by loading behavior, bonded interface microstructure and failure mode. The three-dimensional (3D) finite element (FE) model has been established. Based on 3D Hashin failure criteria, the damage initiation and evolution in CFRP were… More >

Dan Wang^1,*, Zhoucheng Su¹, Sridhar Narayanaswamy¹, Stephen Tsai²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.011821

Abstract Double-Double (DD) laminates are novel layups made up of two groups of angle plies. The assembly of local sub-ply blocks provides homogenized material properties and can achieve the unique laminate layup for the whole structure with different sub-ply block repeats. However, the thickness thinning will bring buckling forward leading to structural failure. Here we work on searching the optimal thickness tapering strategy of DD laminates to achieve the highest buckling load with the given structure weight. The DD laminate is modelled as a shell with the thickness for each element defined as different repeats of More >

Shih-Chun Liao¹, I-Ling Chang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012885

Abstract In this work, a new deep learning (DL) approach for the bandgap optimization of 1-D phononic crystal will be reported. The unit cell of the phononic crystal is composed of 4 layers with 3 materials, i.e., concrete, soil and rubber. A deep learning model is trained to replace the computationally demanding traditional solvers for the bandgap calculation of 1-D phononic crystals. Four variables, including material properties and layer thicknesses, will be taken into account. The predicted bandgap by the trained model is compared with that calculated by transfer matrix in order to check the accuracy More >

Hexin Yue¹, Cian Vyas^1,2,*, Paulo Bartolo^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011598

Abstract Peripheral nerve injury can result in significant motor or sensory impairment. Traditional treatments have certain drawbacks and often result in suboptimal clinical results. To overcome these limitations, tissue engineering and bioprinting technologies are promising approaches for manufacturing nerve guidance conduits (NGCs). NGCs are tubular biostructures that bridge the nerve injury site, provide an appropriate microenvironment, and promote peripheral nerve regeneration by guiding axonal growth. The architecture of NGCs needs to mimic the morphology of natural peripheral nerves by designing their topology to regulate nerve cell behaviours. Topographic guidance cues are an effective element in improving… More >

Xinwei Li^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011083

Abstract The emergence of 3D printing opens new possibilities for the development of advanced and innovative metamaterials, particularly in the realm of microlattices. Microlattices are characterized as periodic cellular solids with submillimeter-sized features, such as struts, shells, or plates, arranged spatially in a three-dimensional way. Herein, based on four published studies, we provide a perspective on the design, employing analytical and numerical methods, as well as the performance of 3D-printed microlattices for sound absorption.
The first study focuses on face-centered cubic-based plate and truss structures [1]. Impedance tube measurements reveal that all the microlattices display absorption curves… More >

Chen Wang^1,*, Pan Wang¹, Jiazhao Huang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011846

Abstract Industry 4.0 promises to bring significant changes to general additive manufacturing (AM) systems, ushered by the incorporation of digital twin development to capture high-volume data in an integrated and automated way [1]. During this transformation, it is required to develop advanced methods to solve main problems in the large-scale industrial use of AM technology. One of the challenges is how to eliminate or mitigate the structural distortion due to thermal effect during AM processes [2-4]. To reduce the level of distortion, a general hands-on approach is to compensate the geometry based on physical measurements of… More >

Rachmannu Ilham¹, Fataty Kurnia Rahmah¹, Nurul Faradilah Said², Mohamad Buang Budiono², Suprapto Suprapto^1,*

Journal of Renewable Materials, Vol.12, No.11, pp. 1895-1909, 2024, DOI:10.32604/jrm.2024.055602 - 22 November 2024

Abstract This study investigated the efficiency of activated carbon from Pangium edule shells for removing phosphate from aqueous solution. The adsorption capacity of the synthesized activated carbon was determined to be 19.8392 mg g⁻¹. Various isotherm models were used to analyze the adsorption process, Henry, Freundlich, SIP, and Halsey isotherm fitting showed r² values close to 1.0. These isotherms indicated a combination of physisorption and chemisorption mechanisms, with heterogeneity and multilayer formation playing important roles. A pseudo-second-order model described the adsorption kinetics well, suggesting chemisorption as the dominant mechanism with an r² value of 1.0 and a rate constant… More >

Yuanyuan Yang¹, Xian Shi^1,2,*, Cheng Ji³, Yujie Yan³, Na An³, Teng Zhang⁴

Energy Engineering, Vol.121, No.12, pp. 3667-3688, 2024, DOI:10.32604/ee.2024.056266 - 22 November 2024

Abstract Based on a geology-engineering sweet spot evaluation, the high-quality reservoir zones and horizontal well landing points were determined. Subsequently, fracture propagation and production were simulated with a multilayer fracturing scenario. The optimal hydraulic fracturing strategy for the multilayer fracturing network was determined by introducing a vertical asymmetry factor. This strategy aimed to minimize stress shadowing effects in the vertical direction while maximizing the stimulated reservoir volume (SRV). The study found that the small vertical layer spacing of high-quality reservoirs and the presence of stress-masking layers (with a stress difference of approximately 3~8 MPa) indicate that… More > Graphic Abstract

Guowei Li^1,*, Shujuan Bu², Xinle Yang², Kaijie Liang¹, Zhengri Shao¹, Xiaobei Song¹, Yitian Tang³, Dejing Zong⁴

Energy Engineering, Vol.121, No.12, pp. 3843-3874, 2024, DOI:10.32604/ee.2024.056195 - 22 November 2024

Abstract A novel dual-pressure organic Rankine cycle system (DPORC) with a dual-stage ejector (DE-DPORC) is proposed. The system incorporates a dual-stage ejector that utilizes a small amount of extraction steam from the high-pressure expander to pressurize a large quantity of exhaust gas to perform work for the low-pressure expander. This innovative approach addresses condensing pressure limitations, reduces power consumption during pressurization, minimizes heat loss, and enhances the utilization efficiency of waste heat steam. A thermodynamic model is developed with net output work, thermal efficiency, and exergy efficiency (W_net, η_t, η_ex) as evaluation criteria, an economic model is established… More >

Zhi Li¹, Yufei Zhao², Yueming Ji², Hanwen Gu², Zaibin Jiao^2,*

Energy Engineering, Vol.121, No.12, pp. 3899-3927, 2024, DOI:10.32604/ee.2024.055899 - 22 November 2024

Abstract By integrating advanced digital technologies such as cloud computing and the Internet of Things in sensor measurement, information communication, and other fields, the digital DC distribution network can efficiently and reliably access Distributed Generator (DG) and Energy Storage Systems (ESS), exhibiting significant advantages in terms of controllability and meeting requirements of Plug-and-Play (PnP) operations. However, during device plug-in and -out processes, improper system parameters may lead to small-signal stability issues. Therefore, before executing PnP operations, conducting stability analysis and adjusting parameters swiftly is crucial. This study introduces a four-stage strategy for parameter optimization to enhance… More >