Zobrazeno 1 - 10
of 4 415
pro vyhledávání: '"Zhi X"'
Autor:
Hanying Yang, Tota Kobayashi, Salvatore Iavarone, James C. Massey, Zhi X. Chen, Yuki Minamoto, Nedunchezhian Swaminathan
Publikováno v:
Applications in Energy and Combustion Science, Vol 14, Iss , Pp 100142- (2023)
An artificial neural network (ANN) is trained on moderate or intense low-oxygen dilution (MILD) combustion to predict the sub-grid filtered density function (FDF) in large eddy simulation (LES). For wide usability, a new quantity ψ is calculated by
Externí odkaz:
https://doaj.org/article/234fc11b4a224f4e84afe7cc774e16e5
Publikováno v:
International Journal of General Medicine, Vol Volume 14, Pp 6111-6123 (2021)
Sijun Chen, Jianwei Zhu, Xiaofei Zhi Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People’s Republic of ChinaCorrespondence: Xiaofei ZhiDepartment of General Surgery, Affiliated Hospital of Nant
Externí odkaz:
https://doaj.org/article/1832e556b68549e18c3c888797effd84
Within the scope of reacting flow simulations, the real-time direct integration (DI) of stiff ordinary differential equations (ODE) for the computation of chemical kinetics stands as the primary demand on computational resources. Meanwhile, as the nu
Externí odkaz:
http://arxiv.org/abs/2402.18858
In the stratified or partially premixed piloted jet flames, previous experimental and priori studies have identified a strong correlation between mixture fraction and progress variable. In the framework of large-eddy simulation (LES) and flamelet-gen
Externí odkaz:
http://arxiv.org/abs/2401.01045
The application of deep neural networks (DNNs) holds considerable promise as a substitute for the direct integration of chemical source terms in combustion simulations. However, challenges persist in ensuring high precision and generalisation across
Externí odkaz:
http://arxiv.org/abs/2312.16387
Autor:
Mao, Runze, Wang, Yingrui, Zhang, Min, Li, Han, Xu, Jiayang, Dong, Xinyu, Zhang, Yan, Chen, Zhi X.
Recent progress in artificial intelligence (AI) and high-performance computing (HPC) have brought potentially game-changing opportunities in accelerating reactive flow simulations. In this study, we introduce an open-source computational fluid dynami
Externí odkaz:
http://arxiv.org/abs/2312.13513
GPU-accelerated Large Eddy Simulation of turbulent stratified flames with machine learning chemistry
Stratified premixed combustion, known for its capability to expand flammability limits and reduce overall-lean combustion instability, has been widely adopted to comply with increasingly stringent environmental regulations. Numerous numerical simulat
Externí odkaz:
http://arxiv.org/abs/2312.05800
Accurate and affordable simulation of supercritical reacting flow is of practical importance for developing advanced engine systems for liquid rockets, heavy-duty powertrains, and next-generation gas turbines. In this work, we present detailed numeri
Externí odkaz:
http://arxiv.org/abs/2312.04830
Autor:
Miriam Ortiz, Katharina Schnabel, Michael Teut, Gabriele Rotter, Sylvia Binting, Margit Cree, Fabian Lotz, Ralf Suhr, Benno Brinkhaus, Mohammad M. Parvizi, Farhad Handjani, Mohammad M. Zarshenas, Mahmood R. Moein, Majid Nimrouzi, Gholamreza Hatam, Jafar Hasanzadeh, Nasrin Hamidizadeh, Mojtaba Heydari, Mohammad R. Namazi, Zahra Parvizi, Mehdi Pasalar, Maryam Mosaffa-Jahromi, Kamran Bagheri-Lankarani, Suleiman Afsharypuor, Ali M. Tamaddon, Mohadeseh Ostovar, Giuseppe Peloni, Ingo Bolliger, Rui M. Da Cunha Faria, Pierluigi Quadri, Wilma Sanzeni, Damiano Zemp, Hilde Risvoll, Trude Giverhaug, Kjell H. Halvorsen, Marit Waaseth, Frauke Musial, Elio Rossi, Sonia Baccetti, Marco Picchi, Tommaso Conti, Fabio Firenzuoli, Carmelo Guido, Filippo Bosco, Marialessandra Panozzo, Chiara Cervino, Linda Nurra, Antonella Traversi, Katia Vuono, Federica Sabatini, Tommaso Bellandi, Britta Rutert, Angelika Eggert, Georg Seifert, Wiebke Stritter, Christine Holmberg, Alfred Längler, Anita Salamonsen, Solveig Wiesener, Friedemann Schad, Megan Steele, Matthias Kröz, Harald Matthes, Cornelia Herbstreit, Anja Thronicke, Irene Schlingensiepen, Tido von Schoen-Angerer, Romy Schneider, Livia Waeber, Jan Vagedes, Gregor Kaczala, Cosette Pharisa, Johannes Wildhaber, Benedikt Huber, Pavel Sidorov, Evgeniya Sovershaeva, Ana P. Simões-Wüst, Anna Nietlispach, Mónica Mennet, Martin Schnelle, Ursula von Mandach, Xia Wang, Hye L. Woo, Jin M. Lee, Yuhao Wu, Yumin Cho, Younghee Yun, Hyunho Kim, Wonmo Jung, Bo-Hyung Jang, Eric Ziea, Henny Hui, Mia Li, Dora Tsui, Christine Lam, Joyce Hsieh, Edith Chan, Lynda Balneaves, Sandra Burnside, Ethel Doyle, Shelley Dorazio, Pak K. Chan, Anjali Bhagra, Po-Hsu Chen, Vincent C. H. Chung, Justin C. Y. Wu, Zhi X. Lin, Wendy Wong, Xin Y. Wu, Robin S. T. Ho, Charlene H. L. Wong, Lily Chan, Eric T. C. Ziea, William Elder, Roberto Cardarelli, Cornelia Kaspar, Robert Kempenich, Jacques Kopferschmitt, Zulj Marinko, Sebo Damir, Aleksandar Vcev, Ricardo Monezi, Eny Márcia Ruggerini, Ivna M. Fuchigami, Ana C. Moreno Mazini, Maria Waldenez Oliveira, Petar Papuga, Janet Schloss, Amie Steel, Márcia da Silva Jacobsen, Miranda Rodrigo Jacobsen, Maria T. Mangini, Gianfranco Trapani, Tiziana Di Giampietro, Luisella Zanino, Luigi Ciullo, Diego Lanaro, Francesco Cerritelli, Francesco Macrì, Andre Tsai, Chin Lin, Tu-Hsing Wu, Eduardo D’Alessandro, Sam Watts, Ying Zhang, Xufang Wu, Xun Li, Yutong Fei, Jianping Liu, Nanqi Zhao, Liyan Jia, Xiaoyi Yan, Fei Zhen, Zhaolan Liu, Jinhyang Ahn, Sulaiman AlEidi, Ashry Gad Mohamed, Abdullah M. Al-Beda, Raid A. Abutalib, Mohemmed K. M. Khalil, Hakima Amri, Sathyanarayana Badekila, Elham Behmanesh, Seyyedali Mozaffarpour, Pantea Shirooye, Razie N. Meybodi, Roshanak Mokaberinejad, Mojgan Tansaz, Babak Daneshfard, Ayda Hosseinkhani, Vahid Tafazoli, Amir M. Jaladat, Hasan Sadeghi, Li Zhou, Meng Zhao, Weiwei Li, Anette L. Larsen, Agnete E. Kristoffersen, Torunn Hamran, Bjørg Evjen, Trine Stub, Meiling Li, Jianxiong Cai, Taoying Lu, Lingjia Yin, Darong Wu, Lixin Wang, Siaw M. Liew, Tiegang Liu, Chen Bai, Zian Zheng, Yuxiang Wan, Jingnan Xu, Xuan Wang, He Yu, Xiaohong Gu, Guoyan Yang, Deja Ostrowski, Kealoha Fox, Fatemeh Tabatabei, Fatemeh Amini, Saravanan Sathasivampillai, Pholtan Rajamanoharan, Michael Munday, Michael Heinrich, Yvonne M. Scherrer, Carolyn Szuter, Fatemeh Tabatabaei, Ali Tavakoli, Fatemeh Tavakoli, Mahsa rostami, Maria C. Torri, Harald Walach, Faith Warner, Anne Majumdar, Palitha Serasingh, Annemarie Abbing, Anne Ponstein, Erik Baars, Sarah Croke, Suzanne Hanser, Viola Heckel, Daniel Krüerke, Sebastian Weiss, Susanne Metzner, Jang W. Lee, Min K. Hyun, Morgana Masetti, Renate Oepen, Harald Gruber, Peter Heusser, Holger Pelz, Volker Perlitz, Nicola Robinson, Patricia Ronan, Awais Mian, Su Madge, Ava Lorenc, Penny Agent, Siobhan Carr, Monica E. Winnubst, Jafar Abolghasemi, Paolo Fedi, Mariella Di Stefano, Katia Belvedere, Katherine Beaven, Anita Rose, Gerhard Florschutz, Nicola Brough Phil, Helen Parsons, Sarah Stewart-Brown, Katherine Burke, Martine Busch, Fenna Heyning, Jan Smit, Hans Jeekel, Hans de Goeij, Paulo Caceres Guido, Norma Barraza, Ziomara Balbarrey, Alejandra Ribas, Beatriz Jimenez, Claudia Iachino, Fabiana Quattrone, Marisa Gaioli, Marta Dell’Orso, Silvia Villanueva, Carmen Rocha, Adriana Macchi, Lina Chen, Sicheng Wang, Eunji Choi, Namgyeong Go, Yongho Lee, Gokarna Dahal, Xaver Frauenknecht, Heike Gerhardt, Mónica Galanti, Carmen J. Cerda, Daniela Navarrete Heckersdorf, Héctor Jorquera, María L. Alcázar Saldivia, Daiva Jakubonienė, Bradley McEwen, Francislete Melo, Fernanda Mulinari Fontana, Ana C. Viana Valle, Maria T. Borges Neres, Abolali Mohagheghzadeh, Mohammad E. Zohalinezhad, Olja Njaradi, Momir Dunjic, Jitka Pokladnikova, Iva Selke-Krulichova, Jinsoon Seo, Hyunchul Jang, Carolina Moltó-Puigmartí, Martien van Dongen, Pieter Dagnelie, Carel Thijs, Eva Tihanyi, Gabriella Hegyi, Xiaolin Tong
Publikováno v:
BMC Complementary and Alternative Medicine, Vol 17, Iss S1, Pp 1-35 (2017)
Externí odkaz:
https://doaj.org/article/f27caf8e0fca4fc690d03a8c2cb56dc9
In this work, supersonic premixed H2/air combustion stabilised by a cavity flame-holder in a model scramjet combustor with a Mach 1.5 inflow is studied via direct numerical simulations. By applying turbulent and laminar inlet condition separately, we
Externí odkaz:
http://arxiv.org/abs/2305.10178