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  • Open Access

    ARTICLE

    Energy Consumption Analysis and Characterization of Aerospace Manufacturing Facilities in the United States–A Step towards Sustainable Development

    Khaled Bawaneh1,*, Bradley Deken2, Amin Esmaeili3

    Energy Engineering, Vol.120, No.1, pp. 23-34, 2023, DOI:10.32604/ee.2023.019813 - 27 October 2022

    Abstract In this study, information on energy usage in the United States (U.S.) aerospace manufacturing sector has been analyzed and then represented as energy intensities (kWh/m2) to establish benchmark data and to compare facilities of varying sizes. First, public sources were identified and the data from these previously published sources were aggregated to determine the energy usage of aerospace manufacturing facilities within the U.S. From this dataset, a sample of 28 buildings were selected and the energy intensity for each building was estimated from the data. Next, as a part of this study the energy data for… More >

  • Open Access

    ARTICLE

    An Edge-Fog-Cloud Computing-Based Digital Twin Model for Prognostics Health Management of Process Manufacturing Systems

    Jie Ren1,2, Chuqiao Xu3, Junliang Wang2,4, Jie Zhang2,*, Xinhua Mao4, Wei Shen4

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 599-618, 2023, DOI:10.32604/cmes.2022.022415 - 29 September 2022

    Abstract The prognostics health management (PHM) from the systematic view is critical to the healthy continuous operation of process manufacturing systems (PMS), with different kinds of dynamic interference events. This paper proposes a three leveled digital twin model for the systematic PHM of PMSs. The unit-leveled digital twin model of each basic device unit of PMSs is constructed based on edge computing, which can provide real-time monitoring and analysis of the device status. The station-leveled digital twin models in the PMSs are designed to optimize and control the process parameters, which are deployed for the manufacturing… More >

  • Open Access

    ARTICLE

    Laser Additive Manufacturing of 316L Stainless Steel Thin-wall Ring Parts

    Yanhua Zhao1,3,*, Wenhao Tian1, Jianhua Liu1, Dongqing Qian2, Wei Meng1, Jiaming Wang1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.2, pp. 451-470, 2023, DOI:10.32604/fdmp.2022.021035 - 29 August 2022

    Abstract The process parameters of laser additive manufacturing have an important influence on the forming quality of the produced items or parts. In the present work, a finite element model for simulating transient heat transfer in such processes has been implemented using the ANSYS software, and the temperature and stress distributions related to 316L stainless steel thin-walled ring parts have been simulated and analyzed. The effect of the laser power, scanning speed, and scanning mode on temperature distribution, molten pool structure, deformation, and stress field has been studied. The simulation results show that the peak temperature, More >

  • Open Access

    ARTICLE

    An Improved Hyperplane Assisted Multiobjective Optimization for Distributed Hybrid Flow Shop Scheduling Problem in Glass Manufacturing Systems

    Yadian Geng1, Junqing Li1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 241-266, 2023, DOI:10.32604/cmes.2022.020307 - 24 August 2022

    Abstract To solve the distributed hybrid flow shop scheduling problem (DHFS) in raw glass manufacturing systems, we investigated an improved hyperplane assisted evolutionary algorithm (IhpaEA). Two objectives are simultaneously considered, namely, the maximum completion time and the total energy consumptions. Firstly, each solution is encoded by a three-dimensional vector, i.e., factory assignment, scheduling, and machine assignment. Subsequently, an efficient initialization strategy embeds two heuristics are developed, which can increase the diversity of the population. Then, to improve the global search abilities, a Pareto-based crossover operator is designed to take more advantage of non-dominated solutions. Furthermore, a More >

  • Open Access

    ARTICLE

    Simulation Analysis of Stress Field of Walnut Shell Composite Powder in Laser Additive Manufacturing Forming

    Yueqiang Yu1, Tingang Ma1, Suling Wang1,*, Minzheng Jiang1, Yanling Guo2,3, Ting Jiang1,*, Shuaiqi Huang1, Ziming Zheng1, Bo Yan1, Jiyuan Lv1

    Journal of Renewable Materials, Vol.11, No.1, pp. 333-347, 2023, DOI:10.32604/jrm.2022.022296 - 10 August 2022

    Abstract A calculation model of stress field in laser additive manufacturing of walnut shell composite powder (walnut shell/Co-PES powder) was established. The DFLUX subroutine was used to implement the moveable application of a double ellipsoid heat source by considering the mechanical properties varying with temperature. The stress field was simulated by the sequential coupling method, and the experimental results were in good accordance with the simulation results. In addition, the distribution and variation of stress and strain field were obtained in the process of laser additive manufacturing of walnut shell composite powder. The displacement of laser More > Graphic Abstract

    Simulation Analysis of Stress Field of Walnut Shell Composite Powder in Laser Additive Manufacturing Forming

  • Open Access

    ARTICLE

    Analysis of Efficient 32 Bit Adder Using Tree Grafting Technique

    R. Gowrishankar1,*, N. Sathish Kumar2

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 1197-1209, 2023, DOI:10.32604/iasc.2023.025422 - 06 June 2022

    Abstract Adder with high efficiency and accuracy is the major requirement for electronic circuit design. Here the optical logic gate based adder circuit is designed for better performance analysis of optical input signals varied with the wavelength. Efficiency of the adder can be improved by increasing the speed of operation, reducing the complexity and power consumption. To maintain the high efficiency with accuracy, a new combination of adder has been proposed and tested in this work. A new adder by combining the logics of Brent Kung, Sklansky and Kogge Stone adders by Tree Grafting Technique (BSKTGT) has been tested along… More >

  • Open Access

    ARTICLE

    The Cloud Manufacturing Resource Scheduling Optimization Method Based on Game Theory

    Xiaoxuan Yang*, Zhou Fang

    Journal on Artificial Intelligence, Vol.4, No.4, pp. 229-243, 2022, DOI:10.32604/jai.2022.035368 - 25 May 2023

    Abstract In order to optimize resource integration and optimal scheduling problems in the cloud manufacturing environment, this paper proposes to use load balancing, service cost and service quality as optimization goals for resource scheduling, however, resource providers have resource utilization requirements for cloud manufacturing platforms. In the process of resource optimization scheduling, the interests of all parties have conflicts of interest, which makes it impossible to obtain better optimization results for resource scheduling. Therefore, a multithreaded auto-negotiation method based on the Stackelberg game is proposed to resolve conflicts of interest in the process of resource scheduling.… More >

  • Open Access

    ARTICLE

    Application of the BASNEF Model in Safety Training in Automobile Manufacturing Plants

    Fereydoon Laal1,2, Amir Hossein Khoshakhlagh3, Esmaeil Zarei4,5, Rohollah Fallah Madvari6, Somayeh Farhang Dehghan7,*

    Sound & Vibration, Vol.56, No.4, pp. 297-306, 2022, DOI:10.32604/sv.2022.028255 - 03 March 2023

    Abstract After controls, including engineering and management, the final way to control noise is to use hearing protection devices. Due to the lack of a standardized questionnaire regarding investigating workers’ use of hearing protection devices on the basis of the BASNEF behavioral model, the present study was conducted to investigate the effect of health education based on the BASNEF model on the use of hearing protection devices in workers of an automobile manufacturing plant in Iran. This quasi-experimental and prospective intervention study was performed on 80 workers at an automobile manufacturing plant who are exposed to… More >

  • Open Access

    ARTICLE

    Deep Reinforcement Learning-Based Job Shop Scheduling of Smart Manufacturing

    Eman K. Elsayed1, Asmaa K. Elsayed2,*, Kamal A. Eldahshan3

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5103-5120, 2022, DOI:10.32604/cmc.2022.030803 - 28 July 2022

    Abstract Industry 4.0 production environments and smart manufacturing systems integrate both the physical and decision-making aspects of manufacturing operations into autonomous and decentralized systems. One of the key aspects of these systems is a production planning, specifically, Scheduling operations on the machines. To cope with this problem, this paper proposed a Deep Reinforcement Learning with an Actor-Critic algorithm (DRLAC). We model the Job-Shop Scheduling Problem (JSSP) as a Markov Decision Process (MDP), represent the state of a JSSP as simple Graph Isomorphism Networks (GIN) to extract nodes features during scheduling, and derive the policy of optimal… More >

  • Open Access

    ARTICLE

    Topology Optimization of Self-Supporting Structures for Additive Manufacturing with Adaptive Explicit Continuous Constraint

    Jun Zou*, Haolei Mou

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.2, pp. 451-469, 2022, DOI:10.32604/cmes.2022.020111 - 15 June 2022

    Abstract The integration of topology optimization (TO) and additive manufacturing (AM) technologies can create significant synergy benefits, while the lack of AM-friendly TO algorithms is a serious bottleneck for the application of TO in AM. In this paper, a TO method is proposed to design self-supporting structures with an explicit continuous self-supporting constraint, which can be adaptively activated and tightened during the optimization procedure. The TO procedure is suitable for various critical overhang angles (COA), which is integrated with build direction assignment to reduce performance loss. Besides, a triangular directional self-supporting constraint sensitivity filter is devised More >

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