Ihme, 2019 - Google Patents
Requirements towards predictive simulations of turbulent combustionIhme, 2019
- Document ID
- 12309458051300273883
- Author
- Ihme M
- Publication year
- Publication venue
- AIAA Scitech 2019 Forum
External Links
Snippet
Significant progress has been made on the development of modeling approaches for simulating turbulent reacting flows. We are currently in a position where keyphysical aspects of fairly complex combustion processes are reasonably well understood at a qualitative and …
- 238000002485 combustion reaction 0 title abstract description 65
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/20—Investigating or analyzing materials by the use of thermal means by investigating the development of heat, i.e. calorimetry, e.g. by measuring specific heat, by measuring thermal conductivity
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Giusti et al. | Turbulent combustion modelling and experiments: Recent trends and developments | |
| Magri | Adjoint methods as design tools in thermoacoustics | |
| Pierce et al. | Progress-variable approach for large-eddy simulation of non-premixed turbulent combustion | |
| Trisjono et al. | Systematic analysis strategies for the development of combustion models from DNS: A review | |
| US9436168B2 (en) | System and method for maximising thermal efficiency of a power plant | |
| Ghanem et al. | Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds | |
| Martin et al. | A methodology to manage system-level uncertainty during conceptual design | |
| Sengupta et al. | Bayesian machine learning for the prognosis of combustion instabilities from noise | |
| Yousefian et al. | Uncertainty quantification of NOx and CO emissions in a swirl-stabilized burner | |
| Kieweg et al. | Validation assessment of hypersonic double-cone flow simulations using uncertainty quantification, sensitivity analysis, and validation metrics | |
| Hiremath et al. | A study of the rate-controlled constrained-equilibrium dimension reduction method and its different implementations | |
| Hakim et al. | Modeling auto-ignition transients in reacting diesel jets | |
| Ihme | Requirements towards predictive simulations of turbulent combustion | |
| Iavarone et al. | Quantification of autoignition risk in aeroderivative gas turbine premixers using incompletely stirred reactor and surrogate modeling | |
| Puggelli et al. | Application of an automatic mesh convergence procedure for the large eddy simulation of a multipoint injection system | |
| Chen et al. | Optimizing progress variable definition in flamelet-based dimension reduction in combustion | |
| CN119337780A (en) | A pulverized coal gasification furnace modeling method and device based on CFD reduced-order model | |
| Sankaran et al. | Grid convergence in LES of bluff body stabilized flames | |
| Liu et al. | LES modelling of turbulent non-premixed jet flames with correlated dynamic adaptive chemistry | |
| Newale et al. | A feasibility study on the use of low-dimensional simulations for database generation in adaptive chemistry approaches | |
| Huan et al. | Global sensitivity analysis and quantification of model error for large eddy simulation in scramjet design | |
| Krueger et al. | Generative design of a gas turbine combustor using invertible neural networks | |
| Bhattacharya et al. | Data-Driven Surrogate Modeling of Microturbine Combustors Burning Hydrogen Blends | |
| Ihme | Requirements Towards Predictive Simulations of Turbulent Reacting Flows | |
| Bansude et al. | Performance assessment of chemical kinetics neural ordinary differential equations in pairwise mixing stirred reactor |