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Journal articles on the topic 'Mechanical pulping process Computer simulation'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Talebjedi, Behnam, Ali Khosravi, Timo Laukkanen, Henrik Holmberg, Esa Vakkilainen, and Sanna Syri. "Energy Modeling of a Refiner in Thermo-Mechanical Pulping Process Using ANFIS Method." Energies 13, no. 19 (October 1, 2020): 5113. http://dx.doi.org/10.3390/en13195113.

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In the pulping industry, thermo-mechanical pulping (TMP) as a subdivision of the refiner-based mechanical pulping is one of the most energy-intensive processes where the core of the process is attributed to the refining process. In this study, to simulate the refining unit of the TMP process under different operational states, the idea of machine learning algorithms is employed. Complicated processes and prediction problems could be simulated and solved by utilizing artificial intelligence methods inspired by the pattern of brain learning. In this research, six evolutionary optimization algorithms are employed to be joined with the adaptive neuro-fuzzy inference system (ANFIS) to increase the refining simulation accuracy. The applied optimization algorithms are particle swarm optimization algorithm (PSO), differential evolution (DE), biogeography-based optimization algorithm (BBO), genetic algorithm (GA), ant colony (ACO), and teaching learning-based optimization algorithm (TLBO). The simulation predictor variables are site ambient temperature, refining dilution water, refining plate gap, and chip transfer screw speed, while the model outputs are refining motor load and generated steam. Findings confirm the superiority of the PSO algorithm concerning model performance comparing to the other evolutionary algorithms for optimizing ANFIS method parameters, which are utilized for simulating a refiner unit in the TMP process.

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2

MATEOS-ESPEJEL, ENRIQUE, THEODORE RADIOTIS, and NACEUR JEMAA. "Implications of converting a kraft pulp mill to a dissolving pulp operation with a hemicellulose extraction stage." TAPPI Journal 12, no. 2 (March 1, 2013): 29–38. http://dx.doi.org/10.32964/tj12.2.29.

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Global demand for dissolving pulp has been increasing at a remarkable pace over the last few years. A shortage in cotton and the expansion of the textile, hygiene, and health product markets are behind this booming demand. The Canadian pulp and paper industry has entered these markets by converting several paper-grade pulp mills to dissolving pulp producers. In the kraft process, part of the hemicellulose remains with the pulp after cooking and the rest is burnt in the recovery boiler to produce energy. In dissolving pulp mills, most of the hemicellulose must be removed from the wood chips in a pre-hydrolysis stage before pulping. Hemicellulose hydrolysis and its subsequent extraction will affect energy and chemical balances. In addition, the new operation will require large capital expenditures. The objective of this work was to study the conversion of a kraft pulp mill to a dissolving pulp operation and the extraction of hemicelluloses from the process. The effects of hemicellulose extraction on mill energy balance, equipment requirements, and new operating conditions were analyzed. Computer simulations of the process and thermal pinch analysis were used. The existing bottlenecks (digesters, lime kiln, and recovery boiler) to increasing the dissolving pulp production capacity were identified before and after the conversion. In addition, energy efficiency measures were identified to decrease the energy consumption of the new process.

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3

Rocca, A. B. D., S. Ferriani, and L. La Porta. "Simulation by computer of radiographic process." NDT & E International 25, no. 4-5 (August 1992): 236. http://dx.doi.org/10.1016/0963-8695(92)90289-s.

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4

ARANEDA, FRANCISCO J., DIÓGENES L. MELO, and EDGARDO R. CANALES. "Industrial Lo-Solids Pulp Digester Simulation by the Purdue Model." April 2009 8, no. 4 (May 1, 2009): 4–9. http://dx.doi.org/10.32964/tj8.4.4.

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The Purdue model was adapted to simulate an industrial Lo-Solids pulp digester using ad-hoc reac-tion kinetics for Pinus radiata cultivated in Chile. Simulation results for blow line kappa number, pulp yield, free liquor temperature profile, and pulp production rate all agreed well with pulp mill data from Celulosa Arauco y Constitucion’s Arauco plant in Chile. Researchers then applied the mathematical model to simulate an increase in fil-trate flow to the modified continuous cooking zone to save white liquor consumption, keeping blow kappa number at its target value. Simulation results show a 9.1% savings of white liquor and a significant decrease in dissolved sol-ids content, thus improving the Lo-Solids pulping process.

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5

Horta‐Rangel, J., J. Hernández‐Zaragoza, L. Pérez‐Rea, T. López‐Lara, C. López‐Cajun, and V. M. Castano. "Computer simulation of a pressure‐volume‐temperature process." International Journal of Numerical Methods for Heat & Fluid Flow 18, no. 1 (January 11, 2008): 24–35. http://dx.doi.org/10.1108/09615530810839723.

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6

Talebjedi, Behnam, Timo Laukkanen, Henrik Holmberg, Esa Vakkilainen, and Sanna Syri. "Energy Efficiency Analysis of the Refining Unit in Thermo-Mechanical Pulp Mill." Energies 14, no. 6 (March 17, 2021): 1664. http://dx.doi.org/10.3390/en14061664.

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A refining model is developed to analyses the refining process’s energy efficiency based on the refining variables. A simulation model is obtained for longer-term refining energy analysis by further developing the MATLAB Thermo-Mechanical Pulping Simulink toolbox. This model is utilized to predict two essential variables for refining energy efficiency calculation: refining motor-load and generated steam. The conventional variable for presenting refining energy efficiency is refining specific energy consumption (RSEC), which is the ratio of the refining motor load to throughput and does not consider the share of recovered energy from the refining produced steam. In this study, a new variable, corrected refining specific energy consumption (CRSEC), is introduced and practiced for better representation of the refining energy efficiency. In the calculation process of the CRSEC, recovered energy from the refining generated steam is considered useful energy. The developed model results in 160% and 78.75% improvement in simulation model determination coefficient and error, respectively. Utilizing the developed model and hourly district heating demand for CRSEC calculation, results prove a 22% annual average difference between CRSEC and RSEC. Findings confirm that the wintertime refining energy efficiency is 27% higher due to higher recovered energy in the heat recovery unit compared to summertime.

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7

Wang, Yabin. "COMPUTER SIMULATION FOR STOCHASTIC PROCESS OF OVERLOAD IN FUZE." Chinese Journal of Mechanical Engineering 40, no. 05 (2004): 30. http://dx.doi.org/10.3901/jme.2004.05.030.

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8

Harinath, Eranda, L. T. Biegler, and Guy A. Dumont. "Predictive optimal control for thermo-mechanical pulping processes with multi-stage low consistency refining." Journal of Process Control 23, no. 7 (August 2013): 1001–11. http://dx.doi.org/10.1016/j.jprocont.2013.05.005.

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9

Zhu, Yao Wu, and Yue Xu. "Application of Computer Technology in the Simulation Process of Machine Design." Applied Mechanics and Materials 481 (December 2013): 217–19. http://dx.doi.org/10.4028/www.scientific.net/amm.481.217.

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Mechanical products are becoming increasingly precise after industrial revolutions. Design is important for the manufacture of those products. Good mechanical design can improve the quality of product, and the efficiency of manufacture. To find the problems in the design and then improve the design, it needed the simulation process after the mechanical design was completed. Computer technologies in simulation process, such as software technology and virtual technology, were deeply studied in this work which combined practice with the concept and characteristics of machine design.

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10

Furukawa, Y. "Computer Simulation of Anisotropic Etching Process of Single Crystal Silicon." CIRP Annals 38, no. 1 (1989): 211–14. http://dx.doi.org/10.1016/s0007-8506(07)62687-0.

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11

Wang, C. Y., and R. Clausen. "Computer simulation of stone frame sawing process using diamond blades." International Journal of Machine Tools and Manufacture 43, no. 6 (May 2003): 559–72. http://dx.doi.org/10.1016/s0890-6955(03)00019-1.

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12

Khan, Anish, N. Rajesh Jesudoss Hynes, and R. Kumar. "Simulation of thermo-mechanical behaviour of friction drilling process." International Journal of Computational Materials Science and Surface Engineering 9, no. 1 (2020): 70. http://dx.doi.org/10.1504/ijcmsse.2020.10029644.

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13

Kumar, R., N. Rajesh Jesudoss Hynes, and Anish Khan. "Simulation of thermo-mechanical behaviour of friction drilling process." International Journal of Computational Materials Science and Surface Engineering 9, no. 1 (2020): 70. http://dx.doi.org/10.1504/ijcmsse.2020.107401.

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14

YANG, Zhiyong. "Thermo-mechanical Coupling Simulation of Braking Process of Brake Disc." Journal of Mechanical Engineering 46, no. 02 (2010): 88. http://dx.doi.org/10.3901/jme.2010.02.088.

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15

Sobue, Masahisa, and Junji Sakai. "Development of Computer Simulation Method for Slip Casting Process." Journal of the Japan Society of Powder and Powder Metallurgy 41, no. 3 (1994): 293–96. http://dx.doi.org/10.2497/jjspm.41.293.

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16

Ponomarev, S. I. "Computer simulation of the technological process of the complex mechanical systems' diffusion welding." Glavnyj mekhanik (Chief Mechanic), no. 8 (August 1, 2020): 33–40. http://dx.doi.org/10.33920/pro-2-2008-03.

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The article shows the use of computer programs that allow simulating the manufacturing processes of both the mechanical system itself and its components. The development of complex mechanical systems under present-day conditions has led to strengthening their quality, reliability and functioning durability requirements. The solution to the problem of ensuring these requirements includes a wide range of activities. One of the priority tasks of this problem is to develop a scientifically based methodology for estimating the manufacturing and technical condition of both the mechanical system itself and its components, providing the necessary and, if possible, sufficient list of technical properties and methods for their determination. The suggested method of using an attribute database for computer simulation of the nodes manufacturing technology by diffusion welding allows to significantly reduce the time and resource costs for manufacturing complex mechanical systems.

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17

Turng, L.-S., and M. Peić. "Computer aided process and design optimization for injection moulding." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 12 (December 1, 2002): 1523–32. http://dx.doi.org/10.1243/095440502321016288.

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Sophisticated computer aided engineering (CAE) simulation tools for injection moulding have been available and are now widely used in industrial practices. As a result, the design and manufacturing of injection-moulded parts have been literally transformed from a ‘black art’ to an engineering discipline based on scientific principles. It is well recognized that computer simulation tools help engineers to gain process insight and to pinpoint blind spots and problems that are overlooked. Nevertheless, there remains a missing link in CAE, which lies in the ability to identify effectively the optimal design and process variables, as it is hampered by the sheer amount of computer-generated data and complex non-linear interactions among those input variables. This paper presents the system implementation and experimental verifications of an integrated CAE optimization tool that couples a process simulation program with optimization algorithms to determine intelligently and automatically the optimal design and process variables for injection moulding. In addition, this study enables evaluation and comparison of various local and global optimization algorithms in terms of computational efficiency and effectiveness for injection moulding, as presented in this paper.

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18

Brown, M. "Computer simulation of the glass pressing process: a review." International Journal of Materials and Product Technology 33, no. 4 (2008): 335. http://dx.doi.org/10.1504/ijmpt.2008.022513.

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19

Wang, L., Y. Qin, Z.-c. Liu, P.-q. Ge, and W. Gao. "Computer simulation of a workpiece temperature field during the grinding process." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217, no. 7 (July 2003): 953–59. http://dx.doi.org/10.1243/09544050360686824.

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20

Hsu, Yeh-Liang, and Chia-Chieh Yu. "Computer Simulation of Casting Process of Aluminium Wheels - A Case Study." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 220, no. 2 (February 2006): 203–11. http://dx.doi.org/10.1243/09544054jem381.

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21

ZHOU, Zhifang. "Numerical Simulation of Eccentric Cylinder Quenching Process." Journal of Mechanical Engineering 47, no. 12 (2011): 62. http://dx.doi.org/10.3901/jme.2011.12.062.

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22

Sakakura, M., S. Tsukamoto, T. Fujiwara, and I. Inasaki. "Visual simulation of the grinding process." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, no. 10 (October 1, 2008): 1233–39. http://dx.doi.org/10.1243/09544054jem1032.

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Grinding is one of the machining methods for finishing that is performed by using a large number of abrasive grains with irregular shapes and random distribution. While this feature enables accurate and high-quality machining, it complicates analysis of the grinding process. To solve this problem, a great number of computer simulations have been carried out using the Monte Carlo method. Most of them, however, statically calculate geometric interaction between a grain and a workpiece, and have not provided enough achievements for practical applications. In this study, taking this background into account, a simulation program has been developed based on the elastic support model of a grain in which the elasticity of grain support changes according to its location. The program focuses on the generation process of a workpiece surface, and simulates the interaction between grains and a workpiece, which includes the elastic and plastic deformation as well as the removal of workpiece material. Examples of the simulation shown in this study verify the fact that the simulation program facilitates analysis of the microscopic grinding phenomena, and can be used as a practical tool for predicting the grinding results and for optimizing grinding parameters.

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23

Yang, An-Shik, and Wei-Ming Tsai. "Ejection Process Simulation for a Piezoelectric Microdroplet Generator." Journal of Fluids Engineering 128, no. 6 (January 29, 2006): 1144–52. http://dx.doi.org/10.1115/1.2353275.

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The purpose of this work is to investigate the liquid ejection process of a novel microdroplet generator applying a computational approach. In simulations, the theoretical model is based on the unsteady three-dimensional conservation equations of mass and momentum with the treatment of surface tension effect at the gas-liquid boundary by the continuous surface force scheme. The volume-of-fluid method along with the piecewise linear interface construction technique is implemented to describe the interfacial movements. The time evolution of droplet meniscus shape is predicted and compared to Shield’s microphotographed images for the computer code validation. To explore the practicability of the proposed new microdroplet generator, the flow behavior during the stages of liquid ejection and droplet formation are examined with water as the baseline test fluid for a full ejection cycle of 50μs. In addition, 12 numerical experiments were conducted to determine droplet ejection characteristics by systematically varying the ejection time period as well as surface tension and viscosity of liquids. Simulations reveal that a liquid strand with a shorter breakup time and a longer breakup length could be achieved by reducing the ejection time and decreasing the liquid surface tension and viscosity. For the ejection time greater than 4.0μs, the ejection velocity is too low to render a sufficient momentum for droplet breakup. The feasibility studies have demonstrated the potential of this proposed microdroplet generator in dispensing diverse liquids with the surface tension and the viscosity up to 0.08N∕m and 3.0cps.

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24

Zhou, Li Qun, Yu Ping Li, Hong Liu, and Guo Xing. "Computer Simulation for the Orthogonal Milling Process of Asphalt Concrete." Advanced Materials Research 139-141 (October 2010): 1014–17. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1014.

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So as to design the pavement planer, it is necessary to study the milling performance of asphalt concrete. In this work, a coupled thermo-mechanical plane-strain large deformation orthogonal cutting finite element model is presented to simulate the asphalt concrete milling process and predict the stress and temperature field on the cutter. Chip separation is considered by applying shear fracture failure criteria and element deletion and adaptive mesh technique. Two contact pairs are defined. Contact pair 1 defines the milling path, and contact pair 2 defines to prevent the formed chip enter into the workpiece. The Johnson-Cook’s constitutive relation is adopted for the asphalt material. The cutter surface friction and heat conduction are considered. The computation indicates that the maximal cutting force will change from 3.967KN to 10.494KN if the cutting speed is between 1000mm/s and 2000mm/s for the pavement planer of BG2000.

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25

Du, Fengshan. "COMPUTER SIMULATION OF MICRSTRUCTURAL EVOLUTION AND PROCESS OPTIMIZATION DURING CONTROLLED ROLLING." Chinese Journal of Mechanical Engineering 38, supp (2002): 65. http://dx.doi.org/10.3901/jme.2002.supp.065.

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26

Hamou, Said, Abdelmadjid Cheikh, Jean M. Linares, and Ali Benamar. "Machining dispersions based procedures for computer aided process plan simulation." International Journal of Computer Integrated Manufacturing 17, no. 2 (March 2004): 141–50. http://dx.doi.org/10.1080/0951192031000104464.

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27

Lewis, R. W., R. S. Ransing, W. K. S. Pao, K. Kulasegaram, and J. Bonet. "Alternative techniques for casting process simulation." International Journal of Numerical Methods for Heat & Fluid Flow 14, no. 2 (March 2004): 145–66. http://dx.doi.org/10.1108/09615530410513782.

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28

Kong, Jin. "NUMERICAL SIMULATION FOR SQUEEZE PROCESS OF CASTING SAND." Chinese Journal of Mechanical Engineering 38, supp (2002): 122. http://dx.doi.org/10.3901/jme.2002.supp.122.

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29

ZHONG, WU. "NUMERICAL SIMULATION OF ELECTROOMOTIC FLOW OF DRIVING PROCESS." Chinese Journal of Mechanical Engineering 42, no. 02 (2006): 22. http://dx.doi.org/10.3901/jme.2006.02.022.

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30

Schmidt, Anne Marie Due, and Poul Henning Kirkegaard. "From Architectural Acoustics to Acoustical Architecture Using Computer Simulation." Building Acoustics 12, no. 2 (June 2005): 85–98. http://dx.doi.org/10.1260/1351010054037965.

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Architectural acoustics design has in the past been based on simple design rules. However, with a growing complexity in architectural acoustics and the emergence of room acoustic simulation programmes with considerable potential, it is now possible to subjectively analyse and evaluate acoustic properties prior to the actual construction of a building. With the right tools applied, acoustic design can become an integral part of the architectural design process. The aim of this paper is to investigate the field of application that an acoustic simulation programme can have during an architectural acoustic design process and to set up a strategy to develop future programmes. The emphasis is put on the first three out of four phases in the working process of the architect and a case study is carried out in which each phase is represented by typical results – as exemplified with reference to the design of Bagsvaerd Church by Jørn Utzon. The paper discusses the advantages and disadvantages of the programme in each phase compared to the works of architects not using acoustic simulation programmes. The conclusion of the paper points towards the need to apply the acoustic simulation programmes to the first phases in the architectural process and set out a reverse strategy for simulation programmes to do so – from developing acoustics from given spaces to developing spaces from given acoustics.

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31

Li, Xuebing, Yintao Wei, and Yuan He. "Simulation on polytropic process of air springs." Engineering Computations 33, no. 7 (October 3, 2016): 1957–68. http://dx.doi.org/10.1108/ec-08-2015-0224.

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Purpose The purpose of this paper is to propose a method to simulate the polytropic process of air springs. Design/methodology/approach An iterative finite element method (FEM) is proposed. Findings The proposed method is reliable and effective in solving the polytropic process of air springs. Originality/value This work would be helpful for understanding the simulation of pneumatic structures, and the proposed modified FEM would be useful for improving the simulation of the mechanical behavior of an air spring.

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32

Chiang, C. J., Z. H. Fong, and J. T. Tseng. "Computerized simulation of thread form grinding process." Mechanism and Machine Theory 44, no. 4 (April 2009): 685–96. http://dx.doi.org/10.1016/j.mechmachtheory.2008.05.001.

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33

OHMURA, Etsuji, Tetsuya ABE, and Hiroshi EDA. "Ultrahigh-Speed Grinding. (1st Report). Computer Simulation on Surface Generation in Ultrahigh-Speed Grinding Process." Journal of the Japan Society for Precision Engineering 59, no. 8 (1993): 1245–50. http://dx.doi.org/10.2493/jjspe.59.1245.

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34

EDA, Hiroshi, Etsuji OHMURA, and Shinobu YAMAUCHI. "Computer Visual Simulation on Structural Changes of Steel Which Contain White Layer in Grinding Process." Journal of the Japan Society for Precision Engineering 59, no. 8 (1993): 1288–94. http://dx.doi.org/10.2493/jjspe.59.1288.

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35

Kim, Byung J., Antonio A. Trani, Xiaoling Gu, and Caoyuan Zhong. "Computer Simulation Model for Airplane Landing-Performance Prediction." Transportation Research Record: Journal of the Transportation Research Board 1562, no. 1 (January 1996): 53–62. http://dx.doi.org/10.1177/0361198196156200107.

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A simple computer simulation model that predicts airplane landing performance on runways to locate high-speed exits is presented. A Monte Carlo simulation algorithm and empirical heuristics derived from field observations were used to estimate landing-roll trajectories that can be programmed quickly in a personal computer. The modeling process demonstrates statistically the validity of treating landing-roll profiles of various airplane models individually to locate high-speed exits. The model developed can be applied to a variety of airports and airplane types and is offered as an alternative to conventional methods for locating high-speed exits as well as a complement to more rigorous optimization methods.

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36

Li, Fengjun. "COMPUTER SIMULATION ON MOLD FILLING AND SOLIDIFICATION PROCESS OF LOST FOAM CASTING." Chinese Journal of Mechanical Engineering 40, no. 06 (2004): 81. http://dx.doi.org/10.3901/jme.2004.06.081.

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37

Ou, Jingang. "Mechanical Movement in Stamping Die Design Based on Computer Analysis." Journal of Physics: Conference Series 2303, no. 1 (July 1, 2022): 012038. http://dx.doi.org/10.1088/1742-6596/2303/1/012038.

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Abstract With the rapid development of the national economy, the supporting role of molds to the national industry is becoming more and more indispensable. The purpose of this paper is to study the control and application of mechanical motion in stamping die design based on computer analysis. According to the principle of stamping die, the related mechanical motion of the die in the stamping process and its definition method are sorted out, which lays a foundation for the mechanical motion control. The interference detection algorithm based on die stamping motion simulation is established, and the method of automatically acquiring CATIA digital-analog information is studied, which not only standardizes the die design process, but also provides a basis for the realization of simulation motion control. each movement model. The static interference detection method adopted by the system is determined, and the method of distinguishing normal interference and abnormal interference is analyzed. Combining the CATIA interference detection with the motion law and motion curve of the process parts, the analysis of the mechanical motion control system is completed, which is of great significance to improve the production efficiency of the stamping line and speed up the processing speed of the stamping parts.

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38

Muslet, Iyad A., and Musa R. Kamal. "Computer simulation of the film blowing process incorporating crystallization and viscoelasticity." Journal of Rheology 48, no. 3 (May 2004): 525–50. http://dx.doi.org/10.1122/1.1718500.

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39

Xiao, L., K. Anzai, E. Niyama, T. Kimura, and H. Kubo. "Reducing “cold shut” defects in the “H” Process aided by computer simulation." International Journal of Cast Metals Research 11, no. 2 (September 1998): 71–81. http://dx.doi.org/10.1080/13640461.1998.11819260.

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40

Inanc, F., and J. Gray. "New developments in the computer simulation of X-ray nondestructive evaluation process." NDT & E International 25, no. 4-5 (August 1992): 232. http://dx.doi.org/10.1016/0963-8695(92)90249-g.

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41

Ju, Dong Ying, and Li Ping Cao. "The Developments and its Applicaton Examples of Computer Simulation Code on Heat Treatment Process." Advanced Materials Research 651 (January 2013): 589–94. http://dx.doi.org/10.4028/www.scientific.net/amr.651.589.

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Strategy and function of a new developed FEM code COSMAP(COmputer Simulation of MAterial Process) for surface hardening during of thermo-mechanical processing, including heat treatment, carbonizing and nitriding and induction heat treatment, is briefly introduced in this paper. The simulation code is developed based on the metallo-thermo-mechanical theory considering the coupled equations of magnetic or electrical field, diffusion, heat conduction, inelastic stresses and kinetics of phase transformation. Some examples of simulation and the experimental verification for induction heat treatment, carbonized quenching, carbonized- nitrided-quenching process of a cylinder and ring as well as a gear are illustrated, and comparison of the simulated values of distortion, residual stresses and profile of induced phases with the experimental data is made with some discussions.

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42

Chen, Zhongkui. "NUMERICAL SIMULATION OF WRINKLE IN SHEET METAL STAMPING PROCESS." Chinese Journal of Mechanical Engineering 37, no. 01 (2001): 24. http://dx.doi.org/10.3901/jme.2001.01.024.

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43

Sun, Zhichao. "FEM SIMULATION OF TUBE AXIAL COMPRESSIVE PRECISION FORMING PROCESS." Chinese Journal of Mechanical Engineering 37, no. 09 (2001): 34. http://dx.doi.org/10.3901/jme.2001.09.034.

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44

Lei, Liping. "NUMERICAL SIMULATION OF HYDROFORMING PROCESS FOR AUTOMOBILE LOWER ARM." Chinese Journal of Mechanical Engineering 38, no. 10 (2002): 90. http://dx.doi.org/10.3901/jme.2002.10.090.

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45

Zhan, Yanran. "NUMERICAL SIMULATION FOR THE HYDROBULGING PROCESS OF FRUSTUM SHELLS." Chinese Journal of Mechanical Engineering 39, no. 03 (2003): 139. http://dx.doi.org/10.3901/jme.2003.03.139.

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46

LIAN, Yongqing. "Simulation of Startup Process of Air Turbine with Load." Journal of Mechanical Engineering 47, no. 08 (2011): 191. http://dx.doi.org/10.3901/jme.2011.08.191.

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47

Huang, Zongnan. "NUMERICAL SIMULATION ON THE SINTERING PROCESS OF CERAMICS PRODUCTS." Chinese Journal of Mechanical Engineering 40, no. 03 (2004): 124. http://dx.doi.org/10.3901/jme.2004.03.124.

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48

Shuang, Yuanhua. "FEM SIMULATION OF METAL FLOW IN CROSS PIERCING PROCESS." Chinese Journal of Mechanical Engineering 40, no. 03 (2004): 140. http://dx.doi.org/10.3901/jme.2004.03.140.

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49

Cui, Qingling. "SIMULATION OF UPSETTING PROCESS BY REPRODUCING KERNEL PARTICLE METHOD." Chinese Journal of Mechanical Engineering 41, no. 03 (2005): 76. http://dx.doi.org/10.3901/jme.2005.03.076.

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GUO, Feng. "Logical iteration structure model based product development process simulation." Chinese Journal of Mechanical Engineering 43, no. 03 (2007): 72. http://dx.doi.org/10.3901/jme.2007.03.072.

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