يعرض 1 - 20 نتائج من 77 نتيجة بحث عن '"Alramadan, Abdullah S."', وقت الاستعلام: 0.81s تنقيح النتائج
  1. 1
    Academic Journal

    المساهمون: Clean Combustion Research Center, Physical Science and Engineering (PSE) Division, Mechanical Engineering Program, Mechanical Power Engineering Department, Cairo University, Egypt, R&D Division, Hyundai Motor Company, Hwaseong-si, Gyeonggi-do 18290, Republic of Korea, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia

    وصف الملف: application/pdf

  2. 2
    Academic Journal

    المساهمون: Mechanical Engineering Program, Physical Science and Engineering (PSE) Division, Clean Combustion Research Center, Chemical Engineering Program, Department of Thermal Science and Energy Engineering, University of Science and Technology of China (USTC), Hefei, Anhui 230026, China, Saudi Aramco Research and Development Center, Transport Technologies Division Dhahran, Eastern 31311, Saudi Arabia

    وصف الملف: application/pdf

    Relation: ACS Omega; http://hdl.handle.net/10754/697519

  3. 3
    Academic Journal

    المساهمون: bClean Combustion Research Center (CCRC), Physical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia, dAramco Research Center, R&DC, Saudi Aramco, Thuwal 23955, Saudi Arabia, Chemical Engineering Program, Physical Science and Engineering (PSE) Division, Clean Combustion Research Center, aArgonne National Laboratory, Lemont, IL 60439, United States, cTransport Technologies Division, R&DC, Saudi Aramco, Dhahran 31311, Saudi Arabia, eAramco Americas: Aramco Research Center–Detroit, Novi, MI 48377, United States

    وصف الملف: application/pdf

    Relation: https://linkinghub.elsevier.com/retrieve/pii/S2666352X23001000; Yalamanchi, K. K., Kommalapati, S., Pal, P., Kuzhagaliyeva, N., AlRamadan, A. S., Mohan, B., Pei, Y., Sarathy, S. M., Cenker, E., & Badra, J. (2023). Uncertainty quantification of a deep learning fuel property prediction model. Applications in Energy and Combustion Science, 16, 100211. https://doi.org/10.1016/j.jaecs.2023.100211; 2-s2.0-85172692178; Applications in Energy and Combustion Science; 100211; http://hdl.handle.net/10754/695677; 16

  4. 4
    Academic Journal

    المساهمون: Clean Combustion Research Center, Physical Science and Engineering (PSE) Division, Mechanical Engineering Program, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia

    وصف الملف: application/pdf; application/vnd.openxmlformats-officedocument.wordprocessingml.document

    Relation: https://linkinghub.elsevier.com/retrieve/pii/S0016236123016897; Liu, X., Silva, M., Mohan, B., AlRamadan, A. S., Cenker, E., & Im, H. G. (2023). Computational optimization of the performance of a heavy-duty natural gas pre-chamber engine. Fuel, 352, 129075. https://doi.org/10.1016/j.fuel.2023.129075; Fuel; 129075; http://hdl.handle.net/10754/691649; 352

  5. 5
    Academic Journal

    المساهمون: Clean Combustion Research Center, Physical Science and Engineering (PSE) Division, Mechanical Engineering Program, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia

    وصف الملف: application/pdf

    Relation: https://linkinghub.elsevier.com/retrieve/pii/S0016236122038662; Liu, X., Aljabri, H., Silva, M., AlRamadan, A. S., Ben Houidi, M., Cenker, E., & Im, H. G. (2023). Hydrogen pre-chamber combustion at lean-burn conditions on a heavy-duty diesel engine: A computational study. Fuel, 335, 127042. https://doi.org/10.1016/j.fuel.2022.127042; 2-s2.0-85145554448; FUEL; 127042; http://hdl.handle.net/10754/690247; 335; WOS:000930497000005

  6. 6
    Academic Journal

    المساهمون: Clean Combustion Research Center, Physical Science and Engineering (PSE) Division, Mechanical Engineering Program, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia, Oregon State University, Corvallis, USA

    Relation: https://linkinghub.elsevier.com/retrieve/pii/S001623612301414X; Liu, X., Aljabri, H., Panthi, N., AlRamadan, A. S., Cenker, E., Alshammari, A. T., Magnotti, G., & Im, H. G. (2023). Computational study of hydrogen engine combustion strategies: Dual-Fuel compression ignition with Port- and Direct-Injection, Pre-Chamber Combustion, and Spark-Ignition. Fuel, 350, 128801. https://doi.org/10.1016/j.fuel.2023.128801; Fuel; 128801; http://hdl.handle.net/10754/692389; 350

  7. 7
    Academic Journal

    المساهمون: Clean Combustion Research Center, Physical Science and Engineering (PSE) Division, Mechanical Engineering Program, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia

    Relation: https://linkinghub.elsevier.com/retrieve/pii/S0016236123002727; Liu, X., Echeverri Marquez, M., Sanal, S., Silva, M., AlRamadan, A. S., Cenker, E., Sharma, P., Magnotti, G., Turner, J. W. G., & Im, H. G. (2023). Computational assessment of the effects of pre-chamber and piston geometries on the combustion characteristics of an optical pre-chamber engine. Fuel, 341, 127659. https://doi.org/10.1016/j.fuel.2023.127659; Fuel; 127659; http://hdl.handle.net/10754/687485; 341

  8. 8
    Academic Journal

    المساهمون: Clean Combustion Research Center, Physical Science and Engineering (PSE) Division, Mechanical Engineering Program, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia, State Key Laboratory of Engines, Tianjin University, Tianjin, China

    وصف الملف: application/pdf; application/vnd.openxmlformats-officedocument.wordprocessingml.document

    Relation: https://linkinghub.elsevier.com/retrieve/pii/S2666352X2300081X; Liu, X., Sharma, P., Silva, M., AlRamadan, A. S., Cenker, E., Tang, Q., Magnotti, G., & Im, H. G. (2023). Computational investigation of methanol pre-chamber combustion in a heavy-duty engine. Applications in Energy and Combustion Science, 100192. https://doi.org/10.1016/j.jaecs.2023.100192; Applications in Energy and Combustion Science; 100192; http://hdl.handle.net/10754/693674

  9. 9
    Academic Journal
  10. 10
    Academic Journal

    المساهمون: Clean Combustion Research Center, Computational Reacting Flow Laboratory (CRFL), Mechanical Engineering Program, Physical Science and Engineering (PSE) Division, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia

    وصف الملف: application/pdf

    Relation: https://linkinghub.elsevier.com/retrieve/pii/S001623612201941X; Liu, X., Aljabri, H., AlRamadan, A. S., Cenker, E., Badra, J., & Im, H. G. (2022). Computational study of the multi-injector isobaric combustion concept in a heavy-duty compression ignition engine. Fuel, 326, 125099. https://doi.org/10.1016/j.fuel.2022.125099; 2-s2.0-85133973265; Fuel; 125099; http://hdl.handle.net/10754/679762; 326

  11. 11
    Academic Journal

    المساهمون: Clean Combustion Research Center, Computational Reacting Flow Laboratory (CRFL), Mechanical Engineering Program, Physical Science and Engineering (PSE) Division, Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah, Saudi Arabia, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia

    وصف الملف: application/pdf

    Relation: https://linkinghub.elsevier.com/retrieve/pii/S0016236122001508; Aljabri, H., Liu, X., Al-lehaibi Moaz, Cabezas, K. M., AlRamadan, A. S., Badra, J., & Im, H. G. (2022). Fuel flexibility potential for isobaric combustion in a compression ignition engine: A computational study. Fuel, 316, 123281. doi:10.1016/j.fuel.2022.123281; 2-s2.0-85123115063; Fuel; 123281; http://hdl.handle.net/10754/675165; 316

  12. 12
    Academic Journal

    المساهمون: Clean Combustion Research Center, Computational Reacting Flow Laboratory (CRFL), Mechanical Engineering, Mechanical Engineering Program, Physical Science and Engineering (PSE) Division, Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, Mecca 24382, Saudi Arabia, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran 34466, Saudi Arabia

    وصف الملف: application/pdf

    Relation: https://www.mdpi.com/1996-1073/15/23/8951; Aljabri, H., Silva, M., Houidi, M. B., Liu, X., Allehaibi, M., Almatrafi, F., AlRamadan, A. S., Mohan, B., Cenker, E., & Im, H. G. (2022). Comparative Study of Spark-Ignited and Pre-Chamber Hydrogen-Fueled Engine: A Computational Approach. Energies, 15(23), 8951. https://doi.org/10.3390/en15238951; 23; Energies; 8951; http://hdl.handle.net/10754/686071; 15

  13. 13
    Academic Journal

    المساهمون: Chemical Engineering Program, Clean Combustion Research Center, Physical Science and Engineering (PSE) Division, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia

    مصطلحات موضوعية: Ethanol, Gasoline surrogates, RON, MON, Octane blending model

    وصف الملف: application/pdf

    Relation: https://linkinghub.elsevier.com/retrieve/pii/S0016236121007596; AlRamadan, A. S., Sarathy, S. M., & Badra, J. (2021). Unraveling the octane response of gasoline/ethanol blends: Paving the way to formulating gasoline surrogates. Fuel, 299, 120882. doi:10.1016/j.fuel.2021.120882; 2-s2.0-85104770825; Fuel; 120882; http://hdl.handle.net/10754/669092; 299

  14. 14
    Academic Journal
  15. 15
    Conference

    المساهمون: King Abdullah University of Science and Technology, Mechanical Engineering, Physical Science and Engineering (PSE) Division, Clean Combustion Research Center, Mechanical Engineering Program, Saudi Aramco

    وصف الملف: application/pdf

    Relation: https://www.sae.org/content/2022-01-0418/; Panthi, N., Goyal, H., AlRamadan, A. S., Badra, J., & Magnotti, G. (2022). Optical Diagnostics of Isobaric and Conventional Diesel Combustion in a Heavy-Duty Diesel Engine. SAE Technical Paper Series. https://doi.org/10.4271/2022-01-0418; 2-s2.0-85128106277; 2022; http://hdl.handle.net/10754/676414

  16. 16
    Book

    المساهمون: Mechanical Engineering Program, Physical Science and Engineering (PSE) Division, Transport Technologies Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia, Sandia National Laboratories, Livermore, California, USA

    Relation: https://link.springer.com/10.1007/978-981-16-8735-8_8; AlRamadan, & Nyrenstedt, G. (2022). Injection Strategies and Auto-Ignition Features of Gasoline and Diesel Type Fuels for Advanced CI Engine. Energy, Environment, and Sustainability, 217–243. https://doi.org/10.1007/978-981-16-8735-8_8; 2-s2.0-85123442799; 217-243; http://hdl.handle.net/10754/675491

  17. 17
    Academic Journal

    المصدر: International Journal of Engine Research (Sage Publications, Ltd.); Jul2023, Vol. 24 Issue 7, p2936-2948, 13p

  18. 18
    Academic Journal

    المساهمون: Clean Combustion Research Center, Physical Science and Engineering (PSE) Division, Mechanical Engineering, Mechanical Engineering Program, CAS Key Laboratory of Advanced Energy and Power, Institute of Engineering Thermophysics, Beijing, 100190, China, Transport Technologies Division, Research & Development Center, Saudi Aramco, Dhahran, Saudi Arabia

    Relation: https://opg.optica.org/abstract.cfm?URI=ol-47-15-3764; Yu, T., Yang, C., Sharma, P., AlRamadan, A. S., & Magnotti, G. (2022). Fiber-bundle-based 2D Raman and Rayleigh imaging for major species and temperature measurement in laminar flames. Optics Letters, 47(15), 3764. https://doi.org/10.1364/ol.467713; 2-s2.0-85134883872; 15; Optics Letters; http://hdl.handle.net/10754/680025; 47

  19. 19
    Academic Journal

    المساهمون: Clean Combustion Research Center, Computational Reacting Flow Laboratory (CRFL), Mechanical Engineering Program, Physical Science and Engineering (PSE) Division, Transport Technologies Division, Research and Development Center, Saudi Aramco, Dhahran, Saudi Arabia, Transport Technologies Division, Aramco Research Center, Detroit, MI, USA

    وصف الملف: application/pdf

    Relation: Silva, M., Mohan, B., Badra, J., Zhang, A., Hlaing, P., Cenker, E., AlRamadan, A. S., & Im, H. G. (2022). DoE-ML guided optimization of an active pre-chamber geometry using CFD. International Journal of Engine Research, 146808742211352. https://doi.org/10.1177/14680874221135278; International Journal of Engine Research; 146808742211352; http://hdl.handle.net/10754/686170

  20. 20
    Academic Journal