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FLOW-3D | 多相流多物理仿真
FLOW‑3D 是高精度多相流 CFD 仿真软件,依托**Tru‑VOF 自由液面追踪**与**FAVOR 几何表征**两大核心算法,擅长求解复杂三维瞬态自由液面流动问题,助力工程人员完成产品仿真验证与方案迭代,优化设计方案,有效压缩研发周期、降低实物试验成本。
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HYDRO | 水利土木环境分析软件
FLOW-3D HYDRO 是专为土木、水利、环境、海洋工程打造的专业 CFD 建模解决方案,结合尾矿、多相流及浅水模型的最新技术发展,聚焦多相流相关工程问题的高效精准仿真。
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M-Star CFD | 生物化工行业搅拌混合分析软件
M-Star 是一款现代计算流体动力学 (CFD) 软件,为科学家和工程师提供第一原理建模工具,可生成与测量数据在功能上无差别的预测结果。
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Fine Marine | 船舶CFD计算软件
面向船舶设计师和工程师的CFD 软件
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CharLES | 高保真仿真软件
Fidelity CharLES 是高保真计算流体动力学 (CFD) 求解器,可将大涡模拟 (LES) 的实际应用扩展到航空航天、汽车和涡轮机械的广泛工程应用。它旨在应对最棘手的流体动力学挑战,可准确预测气动声学、空气动力学、燃烧、传热和多相方面 CFD 的传统复杂问题。
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Fidelity CFD | 旋转机械CFD软件
全面适用于轴流压缩机/涡轮、离心压缩机、向心涡轮、水泵、通风机的CFD软件
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ISED | 综合能源规划仿真软件
ISED(Integrated System Energy Designer)是对综合能源系统和微电网进行能源规划和技术经济分析的专业仿真工具。软件覆盖电、热、冷、蒸汽、氢能等能源场景。
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HOMER | “源网荷储一体化”系统分析软件
HOMER 是美国可再生能源实验室开发出来的产品,有Pro、Grid、Front三个版本,可用于独立微电网到分布式发电和大型公共事业电站,优化混合电力系统的价值,拥有精确、灵活、稳健的技术经济模拟。
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HOMER Pro | 风光储系统设计与优化软件
HOMER Pro是一款方便易用的微电网软件。从大型地面电站和分布式发电到独立微电网,优化混合电力系统的价值,拥有精确、灵活、稳健的技术经济模拟.
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gPROMS | 新一代工艺过程、仿真、设计、优化平台
一款工艺设备及流程进行仿真建模及设计优化的新一代通用过程模拟平台。在gPROMS产品系列中涵盖了化工行业流程模拟、反应器分离器详细设计、生命科学、食品制药、能源电力、油气行业、污水处理、燃料电池等相关专业模块工具,同时外部接口的存在使用户在调用其他软件特征功能时起到事半功倍的效果。
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MGMS | 数字化综合能源管控软件
西门子数字化综合能源管控平台MGMS是西门子基于数字孪生技术打造的用户侧能源生产与使用相结合的多能流综合能源管控系统。依托于机理模型和数据模型,对系统内的分布式能源设备,能源转换设备(公用动力系统),各类负荷,以及储能设备建立起数学模型,通过人工智能(机器学习)的手段,实现对系统的能源预测(负荷预测 / 发电预测),通过数据处理、模型训练、动态预测和策略优化等一系列步骤,完成对系统内各设备的优化调度,参数优化等高级功能,实现优化运行目标。
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Celsius EC | 电子产品热仿真软件
Celsius EC Solver (原名 6SigmaET)旨在帮助电子系统设计师快速准确地解决电子产品散热管理问题。Celsius EC Solver 利用强大的计算引擎和网格划分技术,助力设计人员对复杂的设计进行建模和分析,不仅可以降低产品失效风险,还可以优化热管理解决方案,最大程度地提升性能
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FLOW-3D--汽车行业--参考文献
以下FLOW-3D在汽车行业方面的应用
159-22 Shihao Li, Yan Yan, Wei Wei, Zhao Wang, Zhonghua Ni, Numerical simulation on the thermal dynamic behavior of liquid hydrogen in a storage tank for trailers, Case Studies in Thermal Engineering, 40; 102520, 2022. doi.org/10.1016/j.csite.2022.102520
53-22 Ilias Papadimitriou, Michael Just, Manufacturing of structural components for internal combustion engine, electric motor and battery using casting and 3D printing, Advances in Engine and Powertrain Research and Technology, Mechanisms and Machine Science 114, Ed. Tigran Parikyan, 2022. doi.org/10.1007/978-3-030-91869-9_15
33-21 Xiaozhou Hu Ao Wang Pingping Li Jianing Wang, Influence of dynamic attitudes on oil supply for bearings and churning power losses in a splash lubricated spiral bevel gearbox, Tribology International, 159; 106951, 2021. doi.org/10.1016/j.triboint.2021.106951
72-18 Hunchul Jeong, Kyungbae Park, Sungjin Baek, Dong-Yoon Kim, Moon-Jin Kang, Jungho Cho, Three-dimensional numerical analysis of weld pool in GMAW with fillet joint, International Journal of Precision Engineering and Manufacturing, 19.8; pp. 1171-1177, 2018. doi.org/10.1007/s12541-018-0138-4
43-18 R.A. Ibrahim, B. Singh, Assessment of ground vehicle tankers interacting with liquid sloshing dynamics, International Journal of Heavy Vehicle Systems, 25.1; 2018. doi.org/10.1504/IJHVS.2018.089894
34-17 Hidenori Arisawa, Yuji Shinoda, Mitsuaki Tanaka, Tatsuhiko Goi, Hirofumi Akahori. Mamoru Yoshitomi, Classification of Fluid Dynamic Loss in Aeroengine Transmission Gears – Experimental Analysis and CFD Validation, Proceedings of ASME Turbo Expo 2017, Charlotte, NC, USA, June 26-30, 2017.
26-15 Herbert Obame Mve, Romuald Rullière, Philippe Haberschill, Modeling and Parametric Study of the Heat Transfer Inside a Lithium Bromide Flow Confined by Wire Screen, 9; pp. 417-425. doi.org/10.17265/1934-8975/2015.05.001 Available in shared drive: Automotive
17-15 Peyman Jafarian, Gear interlocking effect study using CFD, Flow Science, 2015.
23-14 Daiki Saegusa and Shinji Kawai, CFD Analysis of Lubricant Fluid Flow in Automotive Transmission, SAE Technical Paper 2014-01-1772, 2014, doi:10.4271/2014-01-1772, Copyright © 2014 SAE International.
15-14 Hidenori Arisawa, Motohiko Nishimura, Hideyuki Imai and Tatsuhiko Goi, CFD Simulations and Experiments for Reduction of Oil Churning Loss and Windage Loss in Aeroengine Transmission Gears, Journal of Engineering for Gas Turbines and Power, ASME, doi:10.1115/1.4026952, 2014.
87-13 Daiki Saegusa and Shinji Kawai, Technique for Prediction of Automotive Transmission Lubrication Performance, Honda R&D Technical Review, October 2013.
26-13 Hidenori Arisawa, Motohiko Nishimura, Hideyuki Imai, Kenichiro Tanaka, and Tatsuhiko Goi, CFD Simulations and Experiments for Reduction of Oil Churning Loss and Windage Loss on Aeroengine Transmission Gears, No. 2012-JCT-0705, © 2013 The Japan Society of Mechanical Engineers. In Japanese.
53-09 Hidenori Arisawa, Motohiko Nishimura, Hideyuki Imai and Tatsuhiko Goi, CFD Simulation for Reduction of Oil Churning Loss and Windage Loss on Aeroengine Transmission Gears, ASME Turbo Expo 2009: Power for Land, Sea and Air, Orlando, Florida, USA, June 8-12, 2009.
45-09 Chih-Chung Chang, Sy-Chi Kuo, Chen-Kang Huang, and Sih-Li Chen, The Investigation of Motor Cooling Performance, International Journal of Mechanical, Industrial and Aerospace Engineering, 3:1, 2009.
37-04 U, H., Cleghorn, W. and Mills, J., Design and Analysis of Fuel Tank Baffles to Reduce the Noise Generated From Fuel Sloshing, SAE Technical Paper 2004-01-0403, 2004, doi:10.4271/2004-01-0403.
38-03 Hidenori Arisawa, Katsuya Umemoto, Atsushi Ueshima and Yuichi Kawamoto, CFD Simulation of the Lubricating Oil Flow in Motorcycle Oilpan, 2003 SAE/JSAE Small Engine Technology, Conference & Exhibition, Madison, Wisconsin, USA, September 15-18, 2003.































