{"id":{"repo_id":"aachen","oai_identifier":"oai:publications.rwth-aachen.de:57099"},"canonical_url":"https://search.dev.ndltd.org/etd/aachen/oai:publications.rwth-aachen.de:57099","repository":{"repo_id":"aachen","name":"RWTH Aachen University","base_url":"https://publications.rwth-aachen.de/oai2d"},"display":{"title":"Simulation von Verbrennungsprozessen mit einem stochastischen Partikel-Modell","abstract":"A new method for the simulation of combustion processes is developed that includes fluctuations. The simulation of reaction-diffusion-systems is extended by the variables temperature and velocity so that heat release by the chemical reactions as well as a flowfield can be represented. The model is based on a mesoscopic description of molecules in sub-volumes. The evolution of the system is determined by rates – probabilities over time – for the respective processes chemical reaction, diffusion, and flow. The time evolution of the probability of the system state is described by a Master-Equation which can be simulated with the minimal-process-method – a Monte-Carlo method. The auto-ignition of hydrogen with oxygen and methane with air is simulated to calculate the ignition delay time as a stochastic variable. For methane-air auto-ignition, the simulated ignition delay times are compared to shock tube experiments with satisfactory results. The transport processes are modeled and applied to two examples: equalization of a concentration difference by diffusion and a counterflow.","abstract_html":"A new method for the simulation of combustion processes is developed that includes fluctuations. The simulation of reaction-diffusion-systems is extended by the variables temperature and velocity so that heat release by the chemical reactions as well as a flowfield can be represented. The model is based on a mesoscopic description of molecules in sub-volumes. The evolution of the system is determined by rates – probabilities over time – for the respective processes chemical reaction, diffusion, and flow. The time evolution of the probability of the system state is described by a Master-Equation which can be simulated with the minimal-process-method – a Monte-Carlo method. The auto-ignition of hydrogen with oxygen and methane with air is simulated to calculate the ignition delay time as a stochastic variable. For methane-air auto-ignition, the simulated ignition delay times are compared to shock tube experiments with satisfactory results. The transport processes are modeled and applied to two examples: equalization of a concentration difference by diffusion and a counterflow.","abstract_has_math":false,"creators":["Frisque, Andrea"],"institution":"Publikationsserver der RWTH Aachen University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Schnakenberg, Jürgen"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2002,"date_issued":"2002","date_published":"2002","updated_at":"2026-07-30T19:42:09Z","subjects":["info:eu-repo/classification/ddc/620","Ingenieurwissenschaften"],"languages":["ger"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-119167%22"],"render_values":[{"text":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-119167%22","href":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-119167%22","code":true}]}]},"links":{"outbound_url":"https://publications.rwth-aachen.de/record/57099","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Schnakenberg, Jürgen"]},{"key":"dc:creator","label":"Author","values":["Frisque, Andrea"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:coverage","label":"Dc Coverage","values":["DE"]},{"key":"dc:date","label":"Dc Date","values":["2002"]},{"key":"dc:publisher","label":"Institution","values":["Publikationsserver der RWTH Aachen University"]},{"key":"dc:relation","label":"Dc Relation","values":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-4287"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/doctoralThesis","info:eu-repo/semantics/publishedVersion"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["info:eu-repo/classification/ddc/620","Ingenieurwissenschaften"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["ger"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/record/57099","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-119167%22"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A new method for the simulation of combustion processes is developed that includes fluctuations. The simulation of reaction-diffusion-systems is extended by the variables temperature and velocity so that heat release by the chemical reactions as well as a flowfield can be represented. The model is based on a mesoscopic description of molecules in sub-volumes. The evolution of the system is determined by rates – probabilities over time – for the respective processes chemical reaction, diffusion, and flow. The time evolution of the probability of the system state is described by a Master-Equation which can be simulated with the minimal-process-method – a Monte-Carlo method. The auto-ignition of hydrogen with oxygen and methane with air is simulated to calculate the ignition delay time as a stochastic variable. For methane-air auto-ignition, the simulated ignition delay times are compared to shock tube experiments with satisfactory results. The transport processes are modeled and applied to two examples: equalization of a concentration difference by diffusion and a counterflow."]},{"key":"dc:source","label":"Dc Source","values":["Aachen : Publikationsserver der RWTH Aachen University II, 118 S. : graph. Darst. (2002). = Aachen, Techn. Hochsch., Diss., 2002"]},{"key":"dc:title","label":"Title","values":["Simulation von Verbrennungsprozessen mit einem stochastischen Partikel-Modell"]}]}],"canonical_facts":{"dc:contributor":["Schnakenberg, Jürgen"],"dc:coverage":["DE"],"dc:creator":["Frisque, Andrea"],"dc:date":["2002"],"dc:description":["A new method for the simulation of combustion processes is developed that includes fluctuations. The simulation of reaction-diffusion-systems is extended by the variables temperature and velocity so that heat release by the chemical reactions as well as a flowfield can be represented. The model is based on a mesoscopic description of molecules in sub-volumes. The evolution of the system is determined by rates – probabilities over time – for the respective processes chemical reaction, diffusion, and flow. The time evolution of the probability of the system state is described by a Master-Equation which can be simulated with the minimal-process-method – a Monte-Carlo method. The auto-ignition of hydrogen with oxygen and methane with air is simulated to calculate the ignition delay time as a stochastic variable. For methane-air auto-ignition, the simulated ignition delay times are compared to shock tube experiments with satisfactory results. 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