Relevant bibliographies by topics / Process of Simulation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Process of Simulation'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Process of Simulation"

1

Matsumura, Takashi. "Special Issue on Process Simulation." International Journal of Automation Technology 7, no. 1 (2013): 5. http://dx.doi.org/10.20965/ijat.2013.p0005.

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High production rates and low costs in manufacturing process should be considered in the manufacturing design divisions. Process simulation, therefore, plays an important role in implementing high performance manufacturing. Simulation is expected to improve the manufacturing processes and the human activities without production faults and downtime of the manufacturing facilities. The production simulation has become diversified with requirements for the manufacturing processes. Then, the effective use of the simulation is also an important issue for the simulation users considering investment
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Cohal, Viorel. "A Simulation of Spot Welding Process." Applied Mechanics and Materials 657 (October 2014): 226–30. http://dx.doi.org/10.4028/www.scientific.net/amm.657.226.

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The paper presents the optimization of spot welding parameters using offline simulation. The procedure of making simulation with SORPAS® is similar to the procedure of doing practical welding process, which can be divided into the following three steps:Data preparation - the materials and geometries of the workpieces and electrodes are defined, the type of welding machine is selected and the process parameters are specified.Running simulation of welding - the parts are welded in the selected welding machine with the specified process parameter settings. The simulations can be carried out in fo
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Galić, Mario, Ralf Thronicke, Benjamin Michael Schreck, Immo Feine, and Hans-Joachim Bargstädt. "PROCESS MODELING AND SCENARIO SIMULATION IN CONSTRUCTION USING ENTERPRISE DYNAMICS SIMULATION SOFTWARE." Elektronički časopis građevinskog fakulteta Osijek 6, no. 10 (2015): 22–29. http://dx.doi.org/10.13167/2015.10.3.

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Pedersen, J. "Controlling Activated Sludge Process Using EFOR." Water Science and Technology 26, no. 3-4 (1992): 783–90. http://dx.doi.org/10.2166/wst.1992.0459.

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A newly developed simulation program, based on the Activated Sludge Model No. 1, has been investigated for its controlling abilities. The program is capable of simulating most of the control types which have been applied to wastewater treatment plants. The program was tested on a nitrifying and a denitrifying treatment plant. The results showed that the model makes good simulations of the applied controls.
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E, Kanniga, and Akhil Varma. "History for Batch Process Simulation CM System." International Journal of Psychosocial Rehabilitation 23, no. 4 (2019): 354–60. http://dx.doi.org/10.37200/ijpr/v23i4/pr190194.

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Elliman, Tony, Tally Hatzakis, and Alan Serrano. "Business Process Simulation." International Journal of Enterprise Information Systems 2, no. 3 (2006): 43–58. http://dx.doi.org/10.4018/jeis.2006070104.

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Onga, Shinji. "VLSI Process Simulation." IEEJ Transactions on Electronics, Information and Systems 107, no. 6 (1987): 507–12. http://dx.doi.org/10.1541/ieejeiss1987.107.6_507.

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Tseng, Ren-Ho, Chien-Hung Wen, Chen-Hsiang Chang, Yu-Hao Chen, Chieh-Hsun Tsai, and Sheng-Jye Hwang. "Nozzle Pressure- and Screw Position-Based CAE Scientific Process Parameter Setup for Injection Molding Process." Polymers 17, no. 2 (2025): 198. https://doi.org/10.3390/polym17020198.

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This study developed a scientific process parameter setup based on nozzle pressure and screw position, with the process parameter search sequence being injection speed, V/P switchover position, packing pressure, and packing time. Unlike previous studies, this study focuses on the scientific process parameter setup of experiments and simulations, as well as on the implementation of calibration. Experiments and simulations had the same trend of results in the scientific process parameter setup. Although the experiments and simulations had the same trend, the machine response caused parameter err
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Linnhoff, B., and C. G. Akinradewo. "Linking process simulation and process integration." Computers & Chemical Engineering 23 (June 1999): S945—S953. http://dx.doi.org/10.1016/s0098-1354(99)80229-4.

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Nagursky, Oleg, and Yaroslav Gumnitsky. "Release of Capsulated Mineral Fertilizers Components. Process Simulation." Chemistry & Chemical Technology 6, no. 3 (2012): 321–25. http://dx.doi.org/10.23939/chcht06.03.321.

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Dissertations / Theses on the topic "Process of Simulation"

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Bramler, Arild. "Towards improved simulation process capabilities : A simulation process maturity model." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44355.

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Purpose – The purpose of this thesis is to present the result of simulation process maturity (SPM) assessments in the pharmaceutical and manufacturing industry using a process maturity model derived from empirical research. The model is used to benchmark an organisations simulation capability and to apply the results of the assessment to develop a road map for implementing simulation process improvement as well as integration initiatives within the organisation. Methodology approach – This is a survey-based research on benchmarking simulation process in the industry. The SPM model was adopted
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Buttar, Alistair George. "CMOS process simulation." Thesis, University of Edinburgh, 1986. http://hdl.handle.net/1842/13282.

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Ahmed, Rizwan. "A rapid simulation modelling process for novice software process simulation modellers." Thesis, University of Hertfordshire, 2005. http://hdl.handle.net/2299/14298.

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In recent years, simulation modelling of software processes have has promoted as a tool to understand, study, control, and manage software development processes. Claims have been made that simulation models are useful and effective at gaining insight into software development processes. However, little has been said about the process of developing simulation models for software engineering problems. Simulation modelling is a young discipline in software engineering. Consequently, many number software process simulation modellers are thought to be novices. The simulation modelling process is be
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Runge, Torsten, and Kondragunda Narendra. "Teamcenter Simulation Process Management." Technische Universität Chemnitz, 2018. https://monarch.qucosa.de/id/qucosa%3A21532.

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Manage your simulation processes, data, tools and workflows The pressure to shorten time-to-market while improving product performance and quality is driving the increased use of simulation throughout the product lifecycle. However, without some form of simulation data management, simulation itself can become a process bottleneck. The Teamcenter simulation process management solution has been specifically designed to help you get control of your simulation data and processes in the context of an overall product lifecycle management (PLM) system. With Teamcenter, you can avoid common problems s
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Valaškevičius, Šarūnas. "Simulation tool for hybrid process algebras." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100615_084732-33186.

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A hybrid system is a system that presents both continuous time evolution and discrete events. To define and analyse such systems prior to building actual products, a hybrid process algebra can be employed. Simulation is often used as a convenient way for a better understanding of the systems’ evolution and its potential weaknesses. This study aims at creating a general architecture of the simulation tool for hybrid process algebras, together with a practical implementation of Behavioural Hybrid Process Calculus simulator. For achieving this objective, a list of tasks has been composed, includi
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Papageorgiou, Christos Panagiotis. "Process simulation of agricultural products." Thesis, Middlesex University, 2005. http://eprints.mdx.ac.uk/2664/.

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Simulation has been widely used many years ago by chemical engineers to represent several processes and operations, existing in industries of chemical engineering interest. Flow-sheeting calculations is a kind of simulation for preliminary evaluation of different processes. Flow-sheet itself is a key document for the evaluation, design and analysis of processing systems. It shows the processing units arrangement and the streams connecting them, the quantities and compositions at every point of the flow-sheet and the operating conditions (phase, temperature, pressure, enthalpy etc.). Manual flo
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Gencoglu, Ahmet. "Physics based turning process simulation." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/36886.

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The manufacturing planning of parts is currently based on experience and physical test trials. The parts are modeled, and Numerically Controlled (NC) tool paths are generated in Computer Aided Manufacturing (CAM) environment. The NC programs are physically tested, and if the process faults are found, the NC program is re-generated in the CAM environment. The objective of this thesis is to develop Virtual Turning System that predicts the part machining process ahead of costly physical trials. Tool–workpiece engagement geometry is calculated along the tool path by a proposed polycurve method. Th
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Flitta, Isaac. "Simulation of aluminium extrusion process." Thesis, Bournemouth University, 2004. http://eprints.bournemouth.ac.uk/314/.

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The aim of this thesis is to model the extrusion process conditions for some aluminium alloys using Finite Element Modelling (FEM) program. All the simulations were performed with the implicit finite element code FORGE20 (2-D) and FORGE3® (3-D). In this work only the alloys AA2024, AA2014, Al-1 %Cu and AA6063 where experimental work is available were considered. The FORGE2® program was used to investigate and select an appropriate flow stress constitutive equation to describe the material behaviour to model the process conditions. The extrusion pressure and the temperature rise were predicted
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Nurse, O. A. "Material logistics and process simulation." Thesis, University of Portsmouth, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382604.

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Cherif, Redha. "Software Process Simulation Modelling : A Multi Agent-Based Simulation Approach." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5787.

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In this research we present one of the first actual applications of Multi Agent-Based Simulation (MABS) to the field of software process simulation modelling (SPSM). Although a few previous applications were attempted, we explain in our literature review how these failed to take full advantage of the agency paradigm. Our research resulted in a model of the software development process that integrates performance, cognition and artefact quality, for which we built a common simulation framework to implement and run MABS and System Dynamics (SD) simulators upon the same integrated models. Althoug
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Books on the topic "Process of Simulation"

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Husain, Asghar. Chemical process simulation. Wiley Eastern, 1986.

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Furrer, D. U. Metals process simulation. Edited by ASM International. Handbook Committee. ASM International, 2010.

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Ramirez, W. Fred. Computational methods for process simulation. 2nd ed. Butterworths, 1997.

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Lorenz, J. 3-Dimensional Process Simulation. Springer Vienna, 1995.

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International, Conference on the Simulation of Electrochemical Processes (3rd 2009 Bologna Italy). Electrochemical process simulation III. WIT, 2009.

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Fagg, David. A process science simulation. typescript, 1990.

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Lorenz, J., ed. 3-Dimensional Process Simulation. Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-6905-6.

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1945-, McConnell Robert R., and Technical Association of the Pulp and Paper Industry. Process Simulation Committee., eds. Introduction to process simulation. TAPPI Press, 1985.

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Jürgen, Lorenz, ed. 3-dimensional process simulation. Springer-Verlag, 1995.

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Sulis, Emilio, and Kuldar Taveter. Agent-Based Business Process Simulation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98816-6.

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Book chapters on the topic "Process of Simulation"

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Alobaid, Falah. "Process Simulation." In Springer Tracts in Mechanical Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76234-0_2.

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Roffel, Brian, and Ben H. Betlem. "Process Simulation." In Advanced Practical Process Control. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18258-7_2.

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Fichtner, W. "Process Simulation." In Microelectronic Materials and Processes. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0917-5_15.

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Cham, Kit Man, Soo-Young Oh, Daeje Chin, and John L. Moll. "Process Simulation." In Computer-Aided Design and VLSI Device Development. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2553-6_3.

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Lorenz, Jürgen, and Peter Pichler. "Process Simulation." In Springer Handbook of Semiconductor Devices. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-79827-7_35.

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Cham, Kit Man, Soo-Young Oh, John L. Moll, Keunmyung Lee, Paul Vande Voorde, and Daeje Chin. "Process Simulation." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1695-4_3.

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Li, Simon Z. M., Changsheng Xia, and Yue Fu. "Process Simulation." In Handbook of Optoelectronic Device Modeling and Simulation. CRC Press, 2017. http://dx.doi.org/10.1201/9781315152301-6.

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Adamski, Dirk. "Simulation Process." In Simulation in Chassis Technology. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30678-6_6.

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Singh, Kshatrapal, Ashish Kumar, and Manoj Kumar Gupta. "Process Simulation." In Computational Science and Its Applications. Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003347484-7.

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Neumann, Stefan, Michael Rosemann, and Ansgar Schwegmann. "Simulation of Business Processes." In Process Management. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15190-3_13.

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Conference papers on the topic "Process of Simulation"

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Rajeev, Nikhil, Suresh Jayaraman, Prajnan Das, and Srividya Varada. "Application of Artificial Intelligence in process simulation tool." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.126215.

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Process engineers in the Chemical and Oil & Gas industries extensively use process simulation for the design, development, analysis, and optimization of complex systems. This study investigates the integration of Artificial Intelligence (AI) with AVEVATM Process Simulation (APS), a next-generation commercial simulation tool. We propose a framework for a custom chatbot application designed to assist engineers in developing and troubleshooting simulations. This chatbot application utilizes a custom-trained model to transform engineer prompts into standardized queries, facilitating access to
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Kang, Lulu, Yuanxing Cheng, Yiwei Wang, and Chun Liu. "Energetic Variational Gaussian Process Regression." In 2024 Winter Simulation Conference (WSC). IEEE, 2024. https://doi.org/10.1109/wsc63780.2024.10838889.

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Anderko, Andrzej, and Narasi Sridhar. "Corrosion Simulation for the Process Industry." In CORROSION 2001. NACE International, 2001. https://doi.org/10.5006/c2001-01348.

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Abstract The paper describes several approaches to perform computer simulation of corrosion occurring in the chemical process industries. While the present state of the art does not permit simulating all modes of corrosion observed in process systems, useful insights can be gained at the design stage by the inclusion of corrosion simulation tools. A thermodynamic speciation model coupled to electrochemical kinetic model is used to calculate the uniform corrosion rates in a variety of mixed acid systems. Such a model can also compute the corrosion potential; an important parameter that can dete
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Zhao, Jin, and Xi Chen. "Nested Heteroscedastic Gaussian Process for Simulation Metamodeling." In 2024 Winter Simulation Conference (WSC). IEEE, 2024. https://doi.org/10.1109/wsc63780.2024.10838853.

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Cort�s-Pe�a, Yoel R., and Victor M. Zavala. "Graph-Based Representations and Applications to Process Simulation." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.184650.

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Rapid and robust convergence of a process flowsheet is critical to enable large-scale simulations that address core scientific questions related to process design, optimization, and sustainability. However, due to the highly coupled and nonlinear nature of chemical processes, efficiently solving a flowsheet remains a challenge. In this work, we show that graph representations of the underlying physical phenomena in unit operations may help identify potential avenues to systematically reformulate the network of equations and enable more robust topology-based convergence of flowsheets. To this e
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Morris, Ronald C. "Process simulation." In the 24th conference. ACM Press, 1992. http://dx.doi.org/10.1145/167293.167907.

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Tumay, Kerim. "Business process simulation." In the 28th conference. ACM Press, 1996. http://dx.doi.org/10.1145/256562.256581.

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Tumay, Kerim. "Business process simulation." In the 27th conference. ACM Press, 1995. http://dx.doi.org/10.1145/224401.224421.

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Aguilar, Marc, Tankred Rautert, and Alexander J. G. Pater. "Business process simulation." In the 31st conference. ACM Press, 1999. http://dx.doi.org/10.1145/324898.325282.

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Haitao Yu, Mohamed Al-Hussein, and Reza Nasseri. "Process flowcharting and simulation of house structure components production process." In 2007 Winter Simulation Conference. IEEE, 2007. http://dx.doi.org/10.1109/wsc.2007.4419838.

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Reports on the topic "Process of Simulation"

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Panek, J., and S. Johnson. Cryogenic process simulation. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10124508.

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Zeng, Liang, Qiang Zhou, and Liang-Shih Fan. Process/Equipment Co-Simulation on Syngas Chemical Looping Process. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1132604.

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Jackson, Joseph W. Simulation master class - process reliability modeling. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1098294.

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Allendorf, M. D., S. M. Ferko, and S. Griffiths. Process simulation for advanced composites production. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/494119.

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Ledjeff-Hey, K., J. Roes, V. Formanski, J. Gieshoff, and B. Vogel. Process simulation of a PEM fuel cell system. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/460303.

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Cuenca, Jay, Adam Bartley, Dieter Bachmann, et al. Cell and gene therapy aseptic process simulation reflections. BioPhorum, 2023. http://dx.doi.org/10.46220/2023cgt007.

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Bäumler, Maximilian, Madlen Ringhand, Christian Siebke, Marcus Mai, Felix Elrod, and Günther Prokop. Report on validation of the stochastic traffic simulation (Part B). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.243.

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This document is intended to give an overview of the validation of the human subject study, conducted in the driving simulator of the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD), as well of the validation of the stochastic traffic simulation developed in the AutoDrive project by the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD. Furthermore, the evaluation process of a C-AEB (Cooperative-Automatic Emergency Brake) system is demonstrated. The main purpose was to compare the driving behavi
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Spence, P. A., L. I. Weingarten, K. Schroder, D. M. Tung, and D. A. Sheaffer. Process control of large-scale finite element simulation software. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/205962.

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Taylor, Charles A., and Thomas J. Hughes. Process Design, Analysis and Simulation for Aluminum Extrusion Technology. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada367435.

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Mantock, James M., and Michael T. Gately. Casualty Handling Simulation Using the Scenario-based Engineering Process. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada375590.

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