2022
DOI: 10.1016/j.seta.2022.102201
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An energy-efficient method of laser remanufacturing process

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Cited by 13 publications
(11 citation statements)
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“…The improved TOPSIS sorting and optimization technology was adopted, and the optimal process parameters were obtained. The remanufacturing experiment verifies that the optimized parameters meet the experimental requirements and verify the model and algorithm can effectively reduce the energy consumption of the laser remanufacturing process [17]. Kf311ferrous metal powder was chosen to repair steel EA4T by LC.…”
Section: Introductionmentioning
confidence: 86%
“…The improved TOPSIS sorting and optimization technology was adopted, and the optimal process parameters were obtained. The remanufacturing experiment verifies that the optimized parameters meet the experimental requirements and verify the model and algorithm can effectively reduce the energy consumption of the laser remanufacturing process [17]. Kf311ferrous metal powder was chosen to repair steel EA4T by LC.…”
Section: Introductionmentioning
confidence: 86%
“…Jiang et al [8] proposed a data-driven ecological performance evaluation method for the remanufacturing process, which considered the energy-saving rate, remanufacturing process cost, and rate of remanufacturing. Jiang et al [9] proposed an energy-efficient method for the laser remanufacturing process, which could reduce the energy consumption and cost of the laser remanufacturing process. The literature mentioned above shows that many scholars have conducted research on the remanufacturing processes from cost reduction, knowledge reuse, energy efficiency, performance requirements, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Tian et al [31], based on the established stochastic disassembly network graph, combined different disassembly decision-making criteria, and typical stochastic models for disassembly time analysis were developed. Jiang et al [32] proposed the novel non-dominated sorting genetic algorithm II (NSGA-II) based on adaptive crossover probability and multi-crossover operators to solve the multi-objective optimization model of the laser remanufacturing process. Feng et al [33] performed a novel hybrid multi-criteria decision-making technique called grey fuzzy TOPSIS.…”
Section: Introductionmentioning
confidence: 99%