Jiao Jia^1,*, Xin He², Zhenchen Liu³, Shiqing Wu⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3215-3231, 2025, DOI:10.32604/cmes.2025.066489 - 30 June 2025

Abstract As primary load-bearing components extensively utilized in engineering applications, beam structures necessitate the design of their microstructural configurations to achieve lightweight objectives while satisfying diverse mechanical performance requirements. Combining topology optimization with fully coupled homogenization beam theory, we provide a highly efficient design tool to access desirable periodic microstructures for beams. The present optimization framework comprehensively takes into account for key deformation modes, including tension, bending, torsion, and shear deformation, all within a unified formulation. Several numerical results prove that our method can be used to handle kinds of microstructure design for beam-like structures, e.g., More >

Hsien-Tsung Lu^1,2, Ching-Chi Hsu^3,*, Qi-Quan Jian³, Wei-Ting Chen⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1883-1898, 2025, DOI:10.32604/cmes.2025.057675 - 27 January 2025

Abstract Reconstruction of a traumatic distal femur defect remains a therapeutic challenge. Bone defect implants have been proposed to substitute the bone defect, and their biomechanical performances can be analyzed via a numerical approach. However, the material assumptions for past computational human femur simulations were mainly homogeneous. Thus, this study aimed to design and analyze scaffolds for reconstructing the distal femur defect using a patient-specific finite element modeling technique. A three-dimensional finite element model of the human femur with accurate geometry and material distribution was developed using the finite element method and material mapping technique. An… More > Graphic Abstract

Lihui Zhang¹, Huichuang Yang¹, Weigang Li³, Jixin Xu³, Wei Zhou², Donghui Wen⁴, Yanmin Zhang^3,*

Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1477-1492, 2024, DOI:10.32604/fhmt.2024.052675 - 30 October 2024

Abstract Indoor heating with an electrical heating cable, which has no harmful emissions to the environment, is an attractive way for radiant floor heating. To improve the heat transfer efficiency, a novel structure of the heating cable was designed by proposing the concept of the aluminum finned sheath. The transient heat transfer model from the embedded heating cables to the floor is established to validate the feasibility of this novel cable. The effects of the fin number and shape on the cable’s temperature and heat flux distribution were analyzed. The results show that, with the specific More > Graphic Abstract

Dongsheng Jia, Yingjie Xu^*, Liangdi Wang, Jihong Zhu, Weihong Zhang

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 171-199, 2024, DOI:10.32604/cmes.2024.046703 - 16 April 2024

Abstract The abalone shell, a composite material whose cross-section is composed of inorganic and organic layers, has high strength and toughness. Inspired by the abalone shell, several multi-layer composite plates with different layer sequences and thicknesses are studied as bullet-proof material in this paper. To investigate the ballistic performance of this multi-layer structure, the complete characterization model and related material parameters of large deformation, failure and fracture of Al₂O₃ ceramics and Carbon Fiber Reinforced Polymer (CFRP) are studied. Then, 3D finite element models of the proposed composite plates with different layer sequences and thicknesses impacted by a More >

Zhujiang Wang^1,*, Yizhou Wang¹, Bin Zhai¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.3, pp. 1-2, 2023, DOI:10.32604/icces.2023.09242

Abstract Graded lattice structures (GLS) are used widely in the areas of 3D printed sensors, personalized wearable devices, robotics, energy absorption, etc., and have a prospective future in the field of personalized medical devices. The large-scale applications of GLS-based personalized medical devices require a GLS design method that could handle the challenges caused by diverse boundary surface constraints and various requirements of graded mechanical properties [1,2], due to patient-specific care needs. In this work, the proposed automatic seed generation algorithm-based GLS design approach is a prospective solution to promote the wide application of GLS-based personalized medical… More >

Daniel Varadaradjou^1,*, Hocine Kebir¹, Jérôme Mespoulet², David Tingaud³, Salima Bouvier¹, Paul Deconick², Kei Ameyama⁴, Guy Dirras^3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-3, 2022, DOI:10.32604/icces.2022.08673

Abstract The development of new architecture metallic alloys with controlled microstructures is one of the strategic ways for designing materials with high innovation potential and, particularly with improved mechanical properties as required for structural materials [1]. Indeed, unlike conventional counterparts, metallic materials having so-called harmonic structure displays strength and ductility synergy. The latter occurs due to a unique microstructure design: a coarse grain structure surrounded by a 3D continuous network of ultra-fine grain known as “core” and “shell”, respectively. In the present study, pure harmonic-structured (HS) Nickel samples were processed via controlled mechanical milling and followed… More >

Lianxiong Chen¹, Hui Liu^1,*, Xihua Chu^1,2, Jiao Wang³

CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 1197-1218, 2021, DOI:10.32604/cmes.2021.016894 - 11 August 2021

Abstract Functional graded cellular structure (FGCS) usually shows superior mechanical behavior with low density and high stiffness. With the development of additive manufacturing, functional graded cellular structure gains its popularity in industries. In this paper, a novel approach for designing functionally graded cellular structure is proposed based on a subdomain parameterized level set method (PLSM) under local volume constraints (LVC). In this method, a subdomain level set function is defined, parameterized and updated on each subdomain independently making the proposed approach much faster and more cost-effective. Additionally, the microstructures on arbitrary two adjacent subdomains can be More >

Jie Kang^1,*, Xiaoying Chen¹, Hu Cong², Chenghan Yang¹

Journal of New Media, Vol.3, No.3, pp. 81-87, 2021, DOI:10.32604/jnm.2021.017368 - 13 July 2021

Abstract As a new product of the development of modern science and technology, the research and development of logistics robot has become the focus of social attention. Robot sorting and handling is the designated project of Jiangsu University Robot Competition. According to the requirements of the competition, this paper designs a kind of logistics robot trolley which can identify and grab materials according to a given path and transport them to a predetermined location. The mechanical structure design, driving motor selection and mechanical checking calculation of the car are mainly completed. According to the later experiments, More >

Man Yuan, Lu Hong, Zehui Ju, Wenli Gu, Biqing Shu, Jianxin Cui, Xiaoning Lu^*, Zhiqiang Wang^*

Journal of Renewable Materials, Vol.9, No.8, pp. 1433-1445, 2021, DOI:10.32604/jrm.2021.015040 - 08 April 2021

Abstract In this study, the effects of three different particle sizes of wood wastes (A = –8 + 12 mesh; B = –12 + 20 mesh; C = –20 + 30 mesh) and factory shavings (D) on the properties of particleboard were investigated. According to the test results, three-layer particleboard was designed. Particleboard face layers made with mixture of A, B, and C. The core layer made with D. The ratio of core layer to face layers is 50:50. Three-layer particleboard were fabricated with 12% urea-formaldehyde (UF) resins and three different high voltage electrostatic field intensities… More >

Jiongzhi Yang, Srivatsa Harish, Candy Li, Hengduo Zhao, Brittney Antous, Pinar Acar^*

CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1285-1302, 2021, DOI:10.32604/cmc.2021.016829 - 22 March 2021

Abstract This paper presents a de-novo computational design method driven by deep reinforcement learning to achieve reliable predictions and optimum properties for periodic microstructures. With recent developments in 3-D printing, microstructures can have complex geometries and material phases fabricated to achieve targeted mechanical performance. These material property enhancements are promising in improving the mechanical, thermal, and dynamic performance in multiple engineering systems, ranging from energy harvesting applications to spacecraft components. The study investigates a novel and efficient computational framework that integrates deep reinforcement learning algorithms into finite element-based material simulations to quantitatively model and design 3-D More >