Journal Article10.1007/S00170-019-03482-Y
Developing an energy-efficient process planning system for prismatic parts via STEP-NC
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TL;DR: The result shows that the process planning system could generate energy-efficient machining scheme with STEP-NC Part21 file or G/M code, which is propitious to the requirement of low energy demand manufacturing.
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Abstract: Reducing energy consumption for machining operations is a significant research in the manufacturing sector. However, energy-efficient machining oriented to process planning systems is still a challenge. This work uses data structures of Standard for the Exchange of Product model data-Numerical Control (STEP-NC) to develop an energy-efficient process planning system for prismatic parts. A framework of energy-efficient process planning system, consisting of human machine interface, data operation module, and core module, is proposed. The implementation of the system is given, where the core module comprising energy consumption model, ontology, and optimization process is illustrated in details. A test part with typical manufacturing features compliant with STEP-NC is utilized to verify the developed system. The result shows that the process planning system could generate energy-efficient machining scheme with STEP-NC Part21 file or G/M code, which is propitious to the requirement of low energy demand manufacturing.
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Citations
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A Review on Recent Advances in the Energy Efficiency of Machining Processes for Sustainability
TL;DR: This review explores recent advancements in energy-efficient machining processes, highlighting strategies such as energy-efficient machine tools, AI, and optimization techniques, which can achieve up to 45% energy reduction through design, cutting parameter optimization, and AI implementation.
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Intelligent STEP-NC-compliant setup planning method
TL;DR: In this article, an intelligent STEP-NC-compliant setup planning method with the combination of rules, analytic hierarchy process (AHP) and improved back propagation neural network (IBPNN) is proposed.
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Towards energy efficient milling of variable curved geometries
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