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CONVERGE Results Featured in 25 Papers at ASME ICEF 2017

Madison, Wisconsin (October 16, 2017) – Results from the CONVERGE computational fluid dynamics software will be featured in 25 papers at the American Society of Mechanical Engineers’ Internal Combustion Engine Fall Technical Conference, which will be held October 15–18 in Seattle. Papers with CONVERGE results will be shared in several presentation tracks: Advanced Combustion, Emissions Control Systems, Engine Design and Mechanical Development, Fuels, Large Bore Engines, and Numerical Simulations. The breadth of topics and the number of papers are a testament to the widespread applicability of CONVERGE’s autonomous meshing approach, suite of advanced physical models, and ability to simulate complex moving geometries.

Convergent Science is known for its industry-leading customer service, and these 25 papers are evidence of the company’s productive partnerships with industry, academic, and government organizations. The CONVERGE-related papers were authored by personnel from Aramco Research Center, Argonne National Laboratory, AVL Dacolt BV, Caterpillar Inc., Convergent Science, G.E. Global Research Center, General Motors, Hiltner Combustion Systems, Indian Institute of Technology Bombay, Jaguar Land Rover Limited, Lawrence Livermore National Laboratory, Mainstream Engineering Corporation, Mississippi State University, National Research Council Canada, Oak Ridge National Laboratory, Pinnacle Engines, Polytechnic University of Turin, Sandia National Laboratories, Saudi Aramco Dhahran, Stony Brook University, Technical University of Munich, Tianjin University, University of Connecticut, University of Michigan, University of Oxford, and West Virginia University.

The 25 papers with CONVERGE results are as follows.

  • 1.25 L TURBOCHARGED DIESEL FOR DEMANDING NON-ROAD APPLICATIONS (ICEF2017-3536)
  • 3D NUMERICAL SIMULATIONS OF SELECTIVE CATALYTIC REDUCTION OF NOX WITH DETAILED SURFACE CHEMISTRY (ICEF2017-3658)
  • CAPTURING PRESSURE OSCILLATIONS IN NUMERICAL SIMULATIONS OF INTERNAL COMBUSTION ENGINES (ICEF2017-3527)
  • CFD GUIDED GASOLINE COMPRESSION IGNITION ENGINE CALIBRATION (ICEF2017-3583)
  • CFD MODELLING OF PARTIAL FUEL STRATIFICATION COMBUSTION USING DETAILED FUEL SURROGATE MODELS AND TABULATED CHEMISTRY (ICEF2017-3632)
  • CFD SIMULATIONS OF THE EFFECT OF WATER INJECTION CHARACTERISTICS ON TSCI: A NEW, LOAD-FLEXIBLE, ADVANCED COMBUSTION CONCEPT (ICEF2017-3662)
  • COLD-START CFD SIMULATION OF SPARK-IGNITION DIRECT-INJECTION ENGINE (ICEF2017-3630)
  • COMBUSTION CHARACTERISTICS OF HYDROGEN FUELED SPARK INGITION ENGINE (ICEF2017-3587)
  • COMPUTATIONAL INVESTIGATION OF THE EFFECTS OF PISTON GEOMETRY ON THE COMBUSTION EVOLUTION IN A LIGHT DUTY HSDI ENGINE (ICEF2017-3588)
  • A COMPUTATIONAL INVESTIGATION OF FUEL CHEMICAL AND PHYSICAL PROPERTIES EFFECTS ON GASOLINE COMPRESSION IGNITION IN A HEAVY-DUTY DIESEL ENGINE (ICEF2017-3664)
  • THE EFFECTS OF INJECTION TIMING AND INJECTED FUEL MASS ON LOCAL CHARGE CONDITIONS AND EMISSIONS FOR GASOLINE DIRECT INJECTION ENGINES (ICEF2017-3623)
  • HIGH PERFORMANCE COMPUTING AND ANALYSIS-LED DEVELOPMENT OF HIGH EFFICIENCY DILUTE OPPOSED PISTON GASOLINE ENGINE (ICEF2017-3616)
  • IMPLEMENTATION OF DETAILED CHEMISTRY MECHANISMS IN ENGINE SIMULATIONS (ICEF2017-3596)
  • INFLUENCE OF SWIRL RATIO ON DIESEL-METHANE DUAL FUEL COMBUSTION – A CFD INVESTIGATION (ICEF2017-3683)
  • MACHINE LEARNING ANALYSIS OF FACTORS IMPACTING CYCLE-TO-CYCLE VARIATION IN A GASOLINE SPARK-IGNITED ENGINE (ICEF2017-3604)
  • MODELING THE FUEL SPRAY OF A HIGH REACTIVITY GASOLINE UNDER HEAVY-DUTY DIESEL ENGINE CONDITIONS (ICEF2017-3530)
  • MULTI-DIMENSIONAL CFD SIMULATIONS OF KNOCKING COMBUSTION IN A CFR ENGINE (ICEF2017-3599)
  • MULTI-DIMENSIONAL COMPUTATIONAL COMBUSTION OF HIGHLY DILUTE, PREMIXED SPARK-IGNITED OPPOSED-PISTON GASOLINE ENGINE USING DIRECT CHEMISTRY WITH A NEW PRIMARY REFERENCE FUEL MECHANISM (ICEF2017-3618)
  • A NUMERICAL INVESTIGATION ON NO2 FORMATION IN A NATURAL GAS-DIESEL DUAL FUEL ENGINE (ICEF2017-3688)
  • NUMERICAL PREDICTION OF CCV IN A PFI ENGINE USING A PARALLEL LES APPROACH (ICEF2017-3600)
  • PARALLEL MULTI-CYCLE LES OF AN OPTICAL PENT-ROOF DISI ENGINE UNDER MOTORED OPERATING CONDITIONS (ICEF2017-3603)
  • PREDICTING IGNITION AND COMBUSTION OF A PILOT IGNITED NATURAL GAS JET USING NUMERICAL SIMULATION BASED ON DETAILED CHEMISTRY (ICEF2017-3533)
  • STEADY-STATE CALIBRATION OF A DIESEL ENGINE IN CFD USING A GPU-BASED CHEMISTRY SOLVER (ICEF2017-3631)
  • USING LES TO SIMULATE CYCLE-TO-CYCLE VARIABILITY DURING THE GAS EXCHANGE PROCESS (ICEF2017-3591)
  • USING MULTI-DIMENSIONAL COMBUSTION SIMULATIONS OF A NATURAL GAS/DIESEL DUAL FUEL ENGINE TO INVESTIGATE NOX TRENDS WITH AIR-FUEL RATIO (ICEF2017-3642)

About Convergent Science

Founded in 1997 in Madison, Wisconsin, Convergent Science is a global leader in computational fluid dynamics (CFD) software. Its customers include leading automotive and commercial vehicle manufacturers, tier one suppliers, and professional motorsport teams.
Its flagship product, CONVERGE, includes groundbreaking technology that eliminates the user-defined mesh, fully couples the automated mesh and the solver at runtime, and automatically refines the mesh when and where it is needed. CONVERGE is revolutionizing the CFD industry and shifting the paradigm towards predictive CFD.
Contact
  • Kelly Senecal
  • Co-Owner & Vice President
  • [email protected]
  • (608) 230-1504
  • 6400 Enterprise Lane
  • Madison, WI 53719
Published October 16, 2017