Josef Izák^1,*, Marek Benč², Petr Opěla²

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 3115-3133, 2025, DOI:10.32604/cmes.2025.059234 - 03 March 2025

Abstract The paper deals with the FEM (Finite Element Method) simulation of rotary swaging of Dievar alloy produced by additive manufacturing technology Selective Laser Melting and conventional process. Swaging was performed at a temperature of 900°C. True flow stress-strain curves were determined for 600°C–900°C and used to construct a Hensel-Spittel model for FEM simulation. The process parameters, i.e., stress, temperature, imposed strain, and force, were investigation during the rotary swaging process. Firstly, the stresses induced during rotary swaging and the resistance of the material to deformation were investigated. The amount and distribution of imposed strain in… More >

Yuxuan Wu, Sirish Namilae^*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2067-2090, 2025, DOI:10.32604/cmes.2024.059091 - 27 January 2025

Abstract Powder bed fusion (PBF) in metallic additive manufacturing offers the ability to produce intricate geometries, high-strength components, and reliable products. However, powder processing before energy-based binding significantly impacts the final product’s integrity. Processing maps guide efficient process design to minimize defects, but creating them through experimentation alone is challenging due to the wide range of parameters, necessitating a comprehensive computational parametric analysis. In this study, we used the discrete element method to parametrically analyze the powder processing design space in PBF of stainless steel 316L powders. Uniform lattice parameter sweeps are often used for parametric… More >

Tajmal Hussain, Jongwon Seok^*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 231-250, 2025, DOI:10.32604/cmes.2024.056621 - 17 December 2024

Abstract Smart manufacturing and Industry 4.0 are transforming traditional manufacturing processes by utilizing innovative technologies such as the artificial intelligence (AI) and internet of things (IoT) to enhance efficiency, reduce costs, and ensure product quality. In light of the recent advancement of Industry 4.0, identifying defects has become important for ensuring the quality of products during the manufacturing process. In this research, we present an ensemble methodology for accurately classifying hot rolled steel surface defects by combining the strengths of four pre-trained convolutional neural network (CNN) architectures: VGG16, VGG19, Xception, and Mobile-Net V2, compensating for their… More >

Prashanth K P^1,*, Rudresh M², Venkatesh N³, Poornima Gubbi Shivarathri⁴, Shwetha Rajappa⁵

Journal of Renewable Materials, Vol.12, No.12, pp. 2115-2134, 2024, DOI:10.32604/jrm.2024.055437 - 20 December 2024

Abstract This study explores the mechanical properties of a novel composite material, blending polylactic acid (PLA) with sea shells, through a comprehensive tensile test analysis. The tensile test results offer valuable insights into the material’s behavior under axial loading, shedding light on its strength, stiffness, and deformation characteristics. The results suggest that the incorporation of sea shells decrease the tensile strength of 14.55% and increase the modulus of 27.44% for 15 wt% SSP (sea shell powder) into PLA, emphasizing the reinforcing potential of the mineral-rich sea shell particles. However, a potential trade-off between decreased strength and… More >

Praveena Nuthakki¹, Pavan Kumar T.¹, Musaed Alhussein², Muhammad Shahid Anwar^3,*, Khursheed Aurangzeb², Leenendra Chowdary Gunnam⁴

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4743-4756, 2024, DOI:10.32604/cmc.2024.058266 - 19 December 2024

Abstract Cloud computing has emerged as a vital platform for processing resource-intensive workloads in smart manufacturing environments, enabling scalable and flexible access to remote data centers over the internet. In these environments, Virtual Machines (VMs) are employed to manage workloads, with their optimal placement on Physical Machines (PMs) being crucial for maximizing resource utilization. However, achieving high resource utilization in cloud data centers remains a challenge due to multiple conflicting objectives, particularly in scenarios involving inter-VM communication dependencies, which are common in smart manufacturing applications. This manuscript presents an AI-driven approach utilizing a modified Multi-Objective Particle More >

Surbhi Bhatia Khan^1,2,*, Mohammad Alojail³, Mahesh Thyluru Ramakrishna⁴, Hemant Sharma⁵

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4895-4914, 2024, DOI:10.32604/cmc.2024.057585 - 19 December 2024

Abstract In Intelligent Manufacturing, Big Data and industrial information enable enterprises to closely monitor and respond to precise changes in both internal processes and external environmental factors, ensuring more informed decision-making and adaptive system management. It also promotes decision making and provides scientific analysis to enhance the efficiency of the operation, cost reduction, maximizing the process of production and so on. Various methods are employed to enhance productivity, yet achieving sustainable manufacturing remains a complex challenge that requires careful consideration. This study aims to develop a methodology for effective manufacturing sustainability by proposing a novel Hybrid… More >

Dongdong Gu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013403

Abstract In this presentation, we will report our recent research progress and prospect in the fields of laser additive manufacturing (AM) / 3D printing (3DP) of high-performance/multi-functional lightweight metallic components for aerospace applications. The innovative elements of AM including multi-material layout, innovative structural design, tailored printing process, and resultant high performance and multiple functions of components will be addressed. For a tailored printing process, some key scientific issues in AM process control deserve to be studied, including interaction of energy and printed matter, thermodynamic and dynamic behavior of printing, relationship of process parameters, microstructure and properties. More >

Yuanyuan Tian^1,2, Kun Zhou^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013372

Abstract Fabric-based materials have demonstrated promise for high-performance wearable applications but are currently restricted by their deficient mechanical properties. Here, we leverage the design freedom offered by additive manufacturing and a novel interlocking pattern to for the first time fabricate a dual-faced chain mail structure consisting of three-dimensional re-entrant unit cells. The flexible structured fabric demonstrates high specific energy absorption and specific strength of up to 1530 J/kg and 5900 N·m/kg, respectively, together with an excellent recovery ratio of ~80%, thereby overcoming the strength–recoverability trade-off. The designed dual-faced structured fabric compares favorably against a wide range More >

Yi Huang¹, Giovanni Biglino¹, Fengyuan Liu^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013295

Abstract Coarctation of aorta (CoA) is one of the congenital heart diseases with a proportion of 5% to 10%, which has a prevalence of four per 10,000 babies. As the most common cardiac defect missed at routine physical exams, CoA has a high undiagnosed rate of 60% to 80% in newborns before hospital discharge. The insertion of bare metal stents (BMS) with balloon dilatation is the useful method to reopen the narrow area of aorta. However, the stented vessel has a fixed diameter and cannot grow with the age, resulting in a relative restenosis and frequent… More >

Xuewei Fang^1,2,*, Jiannan Yang¹, Ke Huang¹, Bingheng Lu^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012410

Abstract Wire and Arc Additive Manufacturing (WAAM) technology has the advantages of high-efficiency and low-cost to fabricate large-scaled components with medium-complexity. 2319 aluminum alloy is a widely used in aerospace and military industries. Problems of porosity, residual stress, distortion, and poor mechanical properties were focused on in this paper. The mechanism of defect formation during fabrication and strengthening mechanism of peening process were investigated. In order to learn the droplet transfer and molten pool flow behavior, CFD models of molten pools for the pulse mode of CMT (CMT + P) and pulse reverse polarity CMT mode… More >