Song Juan, Wang Bangfu, Hao Xiaohong
Department of Basic Courses, Suzhou City University, Suzhou 215104, China.
College of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
Materials (Basel). 2024 Aug 17;17(16):4093. doi: 10.3390/ma17164093.
In modern manufacturing, optimization algorithms have become a key tool for improving the efficiency and quality of machining technology. As computing technology advances and artificial intelligence evolves, these algorithms are assuming an increasingly vital role in the parameter optimization of machining processes. Currently, the development of the response surface method, genetic algorithm, Taguchi method, and particle swarm optimization algorithm is relatively mature, and their applications in process parameter optimization are quite extensive. They are increasingly used as optimization objectives for surface roughness, subsurface damage, cutting forces, and mechanical properties, both for machining and special machining. This article provides a systematic review of the application and developmental trends of optimization algorithms within the realm of practical engineering production. It delves into the classification, definition, and current state of research concerning process parameter optimization algorithms in engineering manufacturing processes, both domestically and internationally. Furthermore, it offers a detailed exploration of the specific applications of these optimization algorithms in real-world scenarios. The evolution of optimization algorithms is geared towards bolstering the competitiveness of the future manufacturing industry and fostering the advancement of manufacturing technology towards greater efficiency, sustainability, and customization.
在现代制造业中，优化算法已成为提高加工技术效率和质量的关键工具。随着计算技术的进步和人工智能的发展，这些算法在加工工艺参数优化中发挥着越来越重要的作用。目前，响应面法、遗传算法、田口方法和粒子群优化算法的发展相对成熟，它们在工艺参数优化中的应用相当广泛。它们越来越多地被用作加工和特种加工中表面粗糙度、亚表面损伤、切削力和机械性能的优化目标。本文对优化算法在实际工程生产领域的应用和发展趋势进行了系统综述。它深入探讨了国内外工程制造过程中工艺参数优化算法的分类、定义和研究现状。此外，它还详细探讨了这些优化算法在实际场景中的具体应用。优化算法的发展旨在增强未来制造业的竞争力，并推动制造技术朝着更高效率、可持续性和定制化的方向发展。
