Kaiyao Zhang, Wenlei Xiao, Xiangming Fan, Gang Zhao
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引用次数: 0
Abstract
The next-generation STEP-NC technology requires automatic generation of machining strategies within manufacturing systems to implement flexible manufacturing in the future. Currently, the machining feature modeling based on STEP-NC is in its infancy, facing challenges such as cumbersome modeling processes, ineffective utilization of the STEP-NC standard, and low development efficiency. A low-code modular solution based on the STEP-NC data kernel for machining feature-oriented modeling is important to achieve more intelligent flexible manufacturing. This paper presents a low-code modular modeling method for machining features, based on the STEP-NC data structure and incorporating geometric, process, and machining information, aimed at part milling. A low-code modular CAD modeling platform based on STEP-NC was built using Rhino Grasshopper. Additionally, a toolpath generation algorithm was designed for milling feature models to enable the automatic generation of milling strategies. Finally, the feasibility of a low-code modular CAD system based on machining features for STEP-NC compliant manufacturing in engineering applications is validated through a case study involving part design, milling, and optimization.
期刊介绍:
The Journal of Manufacturing Systems is dedicated to showcasing cutting-edge fundamental and applied research in manufacturing at the systems level. Encompassing products, equipment, people, information, control, and support functions, manufacturing systems play a pivotal role in the economical and competitive development, production, delivery, and total lifecycle of products, meeting market and societal needs.
With a commitment to publishing archival scholarly literature, the journal strives to advance the state of the art in manufacturing systems and foster innovation in crafting efficient, robust, and sustainable manufacturing systems. The focus extends from equipment-level considerations to the broader scope of the extended enterprise. The Journal welcomes research addressing challenges across various scales, including nano, micro, and macro-scale manufacturing, and spanning diverse sectors such as aerospace, automotive, energy, and medical device manufacturing.