Kurdi Abdulaziz, Alhazmi Nahla, Alhazmi Hatem, Tabbakh Thamer
National Center for Building and Construction Technology, King Abdulaziz City for Science and Technology, P.O. Box 6086, Riyadh 11442, Saudi Arabia.
Material Science Institute, King Abdulaziz City for Science and Technology, P.O. Box 6086, Riyadh 11442, Saudi Arabia.
Materials (Basel). 2020 Aug 7;13(16):3489. doi: 10.3390/ma13163489.
To simulate today's complex tribo-contact scenarios, a methodological breakdown of a complex design problem into simpler sub-problems is essential to achieve acceptable simulation outcomes. This also helps to manage iterative, hierarchical systems within given computational power. In this paper, the authors reviewed recent trends of simulation practices in tribology to model tribo-contact scenario and life cycle assessment (LCA) with the help of simulation. With the advancement of modern computers and computing power, increasing effort has been given towards simulation, which not only saves time and resources but also provides meaningful results. Having said that, like every other technique, simulation has some inherent limitations which need to be considered during practice. Keeping this in mind, the pros and cons of both physical experiments and simulation approaches are reviewed together with their interdependency and how one approach can benefit the other. Various simulation techniques are outlined with a focus on machine learning which will dominate simulation approaches in the future. In addition, simulation of tribo-contacts across different length scales and lubrication conditions is discussed in detail. An extension of the simulation approach, together with experimental data, can lead towards LCA of components which will provide us with a better understanding of the efficient usage of limited resources and conservation of both energy and resources.
为了模拟当今复杂的摩擦接触场景,将复杂的设计问题分解为更简单的子问题的方法对于获得可接受的模拟结果至关重要。这也有助于在给定的计算能力范围内管理迭代的分层系统。在本文中,作者回顾了摩擦学模拟实践的最新趋势,以借助模拟对摩擦接触场景和生命周期评估(LCA)进行建模。随着现代计算机和计算能力的进步,人们在模拟方面投入了越来越多的精力,这不仅节省了时间和资源,还能提供有意义的结果。话虽如此,与其他任何技术一样,模拟也有一些固有的局限性,在实践中需要加以考虑。考虑到这一点,本文将物理实验和模拟方法各自的优缺点及其相互依存关系以及一种方法如何使另一种方法受益进行了综述。概述了各种模拟技术,重点是机器学习,它将在未来主导模拟方法。此外,还详细讨论了跨不同长度尺度和润滑条件的摩擦接触模拟。模拟方法与实验数据的结合扩展,可以通向零部件的生命周期评估,这将使我们更好地理解有限资源的有效利用以及能源和资源的节约。