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Experimental study of laser cladding process and prediction of process parameters by artificial neural network (ANN)

激光包覆工艺的实验研究及人工神经网络对工艺参数的预测

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Abstract

Laser cladding of powder mixture of TiN and SS304 is carried out on an SS304 substrate with the help of fibre laser. The experiments are performed on SS304, as per the Taguchi orthogonal array (L16) by different combinations of controllable parameters (microhardness and clad thickness). The microhardness and clad thickness are recorded at all the experimental runs and studied using Taguchi S/N ratio and the optimum controllable parametric combination is obtained. However, an artificial neural network (ANN) identifies different sets of optimal combinations from Taguchi method but they both got almost the same clad thickness and hardness values. The micro-hardness of cladded layer is found to be 6.22 times (HV0.5752) the SS304 hardness (HV0.5121). The presence of nitride ceramics results in a higher micro hardness. The cladded surface is free from cracks and pores. The average clad thickness is found to be around 0.6 mm.

摘要

根据正交实验(L16)设计方案，将氮化钛与SS304的粉末混合物在光纤激光器上对SS304衬底进 行激光包覆。利用Taguchi 信噪比方法对得到的包覆层微观硬度和包厚度进行分析，得到了最优的参 数组合。并利用人工神经网络(ANN)对比分析得到与Taguchi 方法不同的最优组合，但二种方法得到的 包覆层厚度和微观硬度几乎是相同的，包覆层微观硬度(HV0.5121)是SS304 衬底硬度(HV0.5752)的6 倍 多。氮化物陶瓷的存在导致了更高的微观硬度，包覆层表面无裂缝和孔隙， 平均包覆层厚度达 0.6 mm。

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Authors and Affiliations

  1. University Centre for Research and Development, Chandigarh University, Mohali, 140413, India

    Rashi Tyagi & Ashutosh Tripathi

  2. Department of Mechanical Engineering, Chandigarh University, Mohali, 140413, India

    Rashi Tyagi & Ashutosh Tripathi

  3. Department of Mechanical Engineering, IIT (ISM), Dhanbad, 826004, India

    Shakti Kumar & Alok Kumar Das

  4. Department of Mechanical Engineering, IIT Kharagpur, Kharagpur, India

    Mohammad Shahid Raza

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  1. Rashi Tyagi
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  2. Shakti Kumar
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  4. Ashutosh Tripathi
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  5. Alok Kumar Das
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Correspondence to Rashi Tyagi.

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Contributors

Rashi TYAGI provided the concept and edited the draft of manuscript. The overarching research goals were developed by Rashi TYAGi. Shakti KUMAR and Mohammad Shahid RAZA provided the measured landslides displacement data and analyzed the measured data. Ashutosh TRIPATHI established the models and calculated the predicted displacement. Alok Kumar DAS analyzed the calculated results. The initial draft of the manuscript was written by Rashi TYAGI, Shakti KUMAR, Mohammad Shahid RAZA, Ashutosh TRIPATHI, and Alok Kumar DAS. All authors replied to reviewers’ comments and revised the final version.

Conflict of interest

Rashi TYAGI, Shakti KUMAR, Mohammad Shahid RAZA, Ashutosh TRIPATHI, and Alok Kumar DAS declare that they have no conflict of interest.

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Tyagi, R., Kumar, S., Raza, M.S. et al. Experimental study of laser cladding process and prediction of process parameters by artificial neural network (ANN). J. Cent. South Univ. 29, 3489–3502 (2022). https://doi.org/10.1007/s11771-022-5170-y

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  • DOI: https://doi.org/10.1007/s11771-022-5170-y

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