Nikita Gupta, Nishant Bhardwaj, Gulam Muhammad Khan, Vivek Dave
{"title":"Global Trends of Computational Fluid Dynamics to Resolve Real World Problems in the Contemporary Era","authors":"Nikita Gupta, Nishant Bhardwaj, Gulam Muhammad Khan, Vivek Dave","doi":"10.2174/2212711906999200601121232","DOIUrl":null,"url":null,"abstract":"\n\nComputational fluid dynamics (CFD) came into existence with great success,\nthereby replacing the traditional methods used to simulate the problems related to the flow of fluid.\nFirst CFD utilitarian was introduced to the world in 1957, which was developed by a team at Los\nAlamos National Lab. For tremendous performance and to meet the expected results with ease for\nmodern process conditions, engineers are now more inclined towards the use of simulation software\nrather than traditional methods. Hence, in the current scenario with the advancement of computer\ntechnologies, “CFD is recognized as an excellent tool for engineers to resolve real-world problems.”\n\n\n\nCFD is defined as a branch of fluid dynamics which involves the use of numerical analysis\nand data structure to solve complications related to the flow of fluids (gasses or liquids). CFD is\nbased on three major principles that are mass conservation, Newton's second law, and energy conservation.\nCFD has extended to a number of applications at an alarming rate in every field such as in aerospace,\nsports, food industry, engineering, hydraulics, HVAC (Heating, Ventilating, and Air conditioning),\nautomotive, environmental, power generation, biomedical, pharmaceutical, and many more.\nHence, a number of software like ANSYS, Open Foam, SimScale, Gerris, Auto desk simulation,\nCode_Saturne, etc, are beneficial in order to execute the operations, and to find the solution of realworld\nproblems within a fraction of seconds.\n\n\n\nCFD analysis involves three major steps; pre-processing, solution, and post-processing. Preprocessing\ndeals with defining model goals, identification of domain, designing, and creating the grid.\nSolution involves setting up the numerical model, computing, and monitoring the solution; whereas,\npost-processing includes results of the examination and revision of the model.\n\n\n\n The review includes current challenges about the computational fluid dynamics. It is relevant\nin different areas of engineering to find answers for the problems occurring globally with the aid of a\nnumber of simulation-based software hereby, making the world free from complex problems in order\nto have a non-complicated scenario.\n\n\n\nComputational fluid dynamics are relevant in each, and every kind of problem related to\nthe fluid flow, either existing in the human body or anywhere. In the contemporary era, there are\nenormous numbers of simulation-based software, which provide excellent results with just one click,\nthereby resolving the problems within microseconds. Hence, we cannot imagine our present and upcoming\nfuture without CFD, which has ultimately made the execution of work easier, leaving behind\nnon-complicating scenarios. Lastly, we can conclude that “CFD is a faster, smarter, and lighter way in\ndesigning process.”\n","PeriodicalId":10795,"journal":{"name":"Current Biochemical Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Biochemical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2212711906999200601121232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Computational fluid dynamics (CFD) came into existence with great success,
thereby replacing the traditional methods used to simulate the problems related to the flow of fluid.
First CFD utilitarian was introduced to the world in 1957, which was developed by a team at Los
Alamos National Lab. For tremendous performance and to meet the expected results with ease for
modern process conditions, engineers are now more inclined towards the use of simulation software
rather than traditional methods. Hence, in the current scenario with the advancement of computer
technologies, “CFD is recognized as an excellent tool for engineers to resolve real-world problems.”
CFD is defined as a branch of fluid dynamics which involves the use of numerical analysis
and data structure to solve complications related to the flow of fluids (gasses or liquids). CFD is
based on three major principles that are mass conservation, Newton's second law, and energy conservation.
CFD has extended to a number of applications at an alarming rate in every field such as in aerospace,
sports, food industry, engineering, hydraulics, HVAC (Heating, Ventilating, and Air conditioning),
automotive, environmental, power generation, biomedical, pharmaceutical, and many more.
Hence, a number of software like ANSYS, Open Foam, SimScale, Gerris, Auto desk simulation,
Code_Saturne, etc, are beneficial in order to execute the operations, and to find the solution of realworld
problems within a fraction of seconds.
CFD analysis involves three major steps; pre-processing, solution, and post-processing. Preprocessing
deals with defining model goals, identification of domain, designing, and creating the grid.
Solution involves setting up the numerical model, computing, and monitoring the solution; whereas,
post-processing includes results of the examination and revision of the model.
The review includes current challenges about the computational fluid dynamics. It is relevant
in different areas of engineering to find answers for the problems occurring globally with the aid of a
number of simulation-based software hereby, making the world free from complex problems in order
to have a non-complicated scenario.
Computational fluid dynamics are relevant in each, and every kind of problem related to
the fluid flow, either existing in the human body or anywhere. In the contemporary era, there are
enormous numbers of simulation-based software, which provide excellent results with just one click,
thereby resolving the problems within microseconds. Hence, we cannot imagine our present and upcoming
future without CFD, which has ultimately made the execution of work easier, leaving behind
non-complicating scenarios. Lastly, we can conclude that “CFD is a faster, smarter, and lighter way in
designing process.”
计算流体力学(CFD)的出现取得了巨大的成功,从而取代了传统的模拟流体流动问题的方法。1957年,洛萨拉莫斯国家实验室的一个团队开发了第一个CFD实用程序。为了在现代工艺条件下获得巨大的性能并轻松满足预期结果,工程师现在更倾向于使用仿真软件而不是传统方法。因此,随着计算机技术的进步,“CFD被认为是工程师解决现实问题的绝佳工具。”CFD被定义为流体动力学的一个分支,它涉及使用数值分析和数据结构来解决与流体(气体或液体)流动有关的复杂问题。CFD基于三个主要原理,即质量守恒、牛顿第二定律和能量守恒。CFD已经以惊人的速度扩展到许多应用领域,例如航空航天,体育,食品工业,工程,液压,暖通空调(采暖,通风和空调),汽车,环境,发电,生物医学,制药等等。因此,许多软件,如ANSYS, Open Foam, SimScale, Gerris, Auto desk simulation, code_saturn等,都有利于执行操作,并在几分之一秒内找到现实世界问题的解决方案。CFD分析包括三个主要步骤;预处理,解决方案和后处理。预处理处理定义模型目标、识别域、设计和创建网格。解决方案包括建立数值模型、计算和监测解决方案;而后处理则包括对模型的检验和修正结果。综述了当前计算流体力学面临的挑战。在此,借助大量基于仿真的软件,为全球范围内发生的问题寻找答案,使世界摆脱复杂的问题,从而拥有一个不复杂的场景,这是与工程的不同领域相关的。计算流体动力学与人体或任何地方的流体流动相关的每一种问题都有关系。在当今时代,基于仿真的软件数不胜数,只需点击一下就能提供出色的结果,从而在微秒内解决问题。因此,我们无法想象没有CFD的现在和未来,CFD最终使工作的执行变得更容易,留下了不复杂的场景。最后,我们可以得出结论:“CFD在设计过程中是一种更快、更智能、更轻的方式。”