To optimize recyclingRecycling process, Design of Experiment (DOE) was utilized. In this study, Taguchi orthogonal arrays were designed based on four factors: flux types, chips/flux ratio, holding times, and holding temperatures, and for each factor, three corresponding levels were also chosen. RecoveryRecovery rate and corrosion resistanceCorrosion resistance were selected as two individual responses to evaluate the effectiveness of the recycling process and the quality of the recycled alloy. Also, S/N ratios for multiple characteristics and analysis of variance (ANOVA) were utilized to analyze experimental data for optimization. Two sets of weighing factors were selected for the responses of recovery rate and corrosion resistance, respectively, for different requirement of the recycled alloy. The optimum combinations led to the highest recoveryRecovery rate of by using Al-clean 101 as the refining flux, 10:5 as the chips/flux ratio, 60 min as the holding time and 760℃ as the holding temperature, while the combination using Al-clean 113 as the refining flux, 10:3 as the chips/flux ratio, 90 min as the holding time and 800℃ as the holding temperature made the recyclingRecycling process effective considering both the recovery rate and corrosion resistanceCorrosion resistance as objective functions.

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Development of Aluminum Chips Recycling Process for Recovery Rates and Corrosion Resistance of A380 Alloy

  • Bojun Xiong,
  • Anita Hu,
  • Wutian Shen,
  • Peiling Ying,
  • Henry Hu,
  • Chi Liu

摘要

To optimize recyclingRecycling process, Design of Experiment (DOE) was utilized. In this study, Taguchi orthogonal arrays were designed based on four factors: flux types, chips/flux ratio, holding times, and holding temperatures, and for each factor, three corresponding levels were also chosen. RecoveryRecovery rate and corrosion resistanceCorrosion resistance were selected as two individual responses to evaluate the effectiveness of the recycling process and the quality of the recycled alloy. Also, S/N ratios for multiple characteristics and analysis of variance (ANOVA) were utilized to analyze experimental data for optimization. Two sets of weighing factors were selected for the responses of recovery rate and corrosion resistance, respectively, for different requirement of the recycled alloy. The optimum combinations led to the highest recoveryRecovery rate of by using Al-clean 101 as the refining flux, 10:5 as the chips/flux ratio, 60 min as the holding time and 760℃ as the holding temperature, while the combination using Al-clean 113 as the refining flux, 10:3 as the chips/flux ratio, 90 min as the holding time and 800℃ as the holding temperature made the recyclingRecycling process effective considering both the recovery rate and corrosion resistanceCorrosion resistance as objective functions.