Laser cladding has been considered as a method to fabricate the high-performance coatings, and the potential value has also been noticed due to the wide range of processed materials. Considering that different materials need to be matched with different process parameters, it is a crucial subject to establish a research procedure for the process parameters of laser cladded multi-track coating. In this paper, laser cladding is utilized to deposit an AlCoCrFeNi coating on the AISI 1045 substrates. Firstly, the exponential regression analysis is introduced to explore the relationship between process parameters and the geometric characteristics of single tracks. These regression models also are used to assesses the sensitivity of these characteristics to parameter changes, which is critical for optimizing the process window. Subsequently, the suitable combinations of process parameters within the process window are selected to derive the relationship between the multi-track overlapping distance and single-track geometry, establishing the multi-track overlapping model. Experimental results show a flat and crack-free surface of the multi-track coating at the ideal overlapping distance.

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Study on the Process Parameters of Laser Cladded Multi-track AlCoCrFeNi High-Entropy Alloy Coating

  • Ying Li,
  • Yongjun Shi,
  • Quan Li,
  • Xinyu Yan,
  • Mingjun Tian

摘要

Laser cladding has been considered as a method to fabricate the high-performance coatings, and the potential value has also been noticed due to the wide range of processed materials. Considering that different materials need to be matched with different process parameters, it is a crucial subject to establish a research procedure for the process parameters of laser cladded multi-track coating. In this paper, laser cladding is utilized to deposit an AlCoCrFeNi coating on the AISI 1045 substrates. Firstly, the exponential regression analysis is introduced to explore the relationship between process parameters and the geometric characteristics of single tracks. These regression models also are used to assesses the sensitivity of these characteristics to parameter changes, which is critical for optimizing the process window. Subsequently, the suitable combinations of process parameters within the process window are selected to derive the relationship between the multi-track overlapping distance and single-track geometry, establishing the multi-track overlapping model. Experimental results show a flat and crack-free surface of the multi-track coating at the ideal overlapping distance.