employor
发表于 2025-3-26 23:07:18
W. D. Li,K. Xia,L. Gao,K. M. Chaor be absolutely admissible, we can say that . is analogous to the set of regular elements of the Lie algebra of . via its adjoint representation . The significance of . is that it permits us to formulate a conjectural Siegel formula in a precise, explicit form. (The restriction to . correspon
Emg827
发表于 2025-3-27 03:53:46
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渐变
发表于 2025-3-27 06:39:01
Kai Xia,Liang Gao,Weidong Li,Kuo-Ming Chaor be absolutely admissible, we can say that . is analogous to the set of regular elements of the Lie algebra of . via its adjoint representation . The significance of . is that it permits us to formulate a conjectural Siegel formula in a precise, explicit form. (The restriction to . correspon
不怕任性
发表于 2025-3-27 12:00:11
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规范就好
发表于 2025-3-27 14:22:12
Sustainable Manufacturing and Remanufacturing ManagementProcess Planning, Op
minion
发表于 2025-3-27 20:35:02
Sustainable Manufacturing and Remanufacturing Management978-3-319-73488-0
archetype
发表于 2025-3-27 22:56:15
Energy-aware Integrated Process Planning and Scheduling for Job Shops,is adopted to explore the optimal solution (Pareto solution) between energy consumption and makespan. Finally, case studies of energy-aware integrated process planning and scheduling are performed, and the proposed algorithm is compared with other methods. The approach is shown to generate interesti
Obstreperous
发表于 2025-3-28 02:50:36
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Polydipsia
发表于 2025-3-28 07:46:33
Experimental Investigation and Multi-objective Optimization Approach for Low-Carbon Milling Operatis on aluminum are performed to verify the proposed regression and optimization models. The experimental results show that a higher spindle speed and feed rate are more advantageous for achieving the performance indicators, and the depth of cut is the most critical process parameter because the incre
Junction
发表于 2025-3-28 14:13:57
Cyber-Physical System and Big Data-Enabled Scheduling Optimization for Sustainable Machining,ish energy models of components machined in a shop floor according to current working conditions of CNC machines. Based on the energy models, a fruit fly optimization (FFO) algorithm has been applied to generate a multi-objective optimized schedule. For re-scheduling, another ANNs-based algorithm ha