Rao Balkrishna C
Department of Engineering Design, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600036, India.
Sci Rep. 2025 Jul 16;15(1):25724. doi: 10.1038/s41598-025-10204-w.
Climate change and other crises are putting strict limits on our consumption of energy and resources. Therefore, these constrains need to be integrated into engineering, which is currently prone to wastage, for systematically infusing frugality into products for widespread sustainable development. This paper presents a novel approach in engineering that systematically aids designers in going frugal by explicitly accounting for uncertainties while creating the optimal frugal part/product in any sector. The stochastic frugal approach is a holistic design method that integrates various stages of product-development with deterministic and stochastic techniques. In doing so, design significantly influences pillars of engineering including manufacturing and supply chains. A new model of reliability has been presented that explicitly accounts for nominal- and over-loading conditions in design. Both the factor of frugality and monte carlo simulation technique have been employed in the exemplification of the stochastic frugal approach with a shaft. The example on shaft - simplicity notwithstanding - unfolds the intricacies and confirms the ability of the new design-approach to create advanced frugal products that are highly reliable. This approach can be applied to any part/product in any sector and is suitable for use with machine learning.
气候变化和其他危机正在对我们的能源和资源消耗施加严格限制。因此，需要将这些限制因素纳入目前容易产生浪费的工程领域，以便将节俭理念系统地融入产品中，实现广泛的可持续发展。本文提出了一种工程领域的新方法，通过在任何领域创建最优节俭部件/产品时明确考虑不确定性，系统地帮助设计师实现节俭。随机节俭方法是一种整体设计方法，它将产品开发的各个阶段与确定性和随机技术相结合。这样做时，设计会对包括制造和供应链在内的工程支柱产生重大影响。提出了一种新的可靠性模型，该模型在设计中明确考虑了标称和过载条件。在以轴为例说明随机节俭方法时，同时运用了节俭因素和蒙特卡洛模拟技术。轴的示例——尽管很简单——却揭示了其中的复杂性，并证实了这种新设计方法能够创造出高度可靠的先进节俭产品。这种方法可应用于任何领域的任何部件/产品，并且适用于机器学习。
