A Review on Application of Acoustic Emission Testing During Additive Manufacturing

Prem, Prabhat Ranjan; Sanker, Ambily Parukutty; Sebastian, Shilpa; Kaliyavaradhan, Senthil Kumar

doi:10.1007/s10921-023-01005-0

J Nondestruct Eval

2023

DOI: 10.1007/s10921-023-01005-0

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A Review on Application of Acoustic Emission Testing During Additive Manufacturing

Prabhat Ranjan Prem,

Ambily Parukutty Sanker,

Shilpa Sebastian

et al.

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2024

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Cited by 5 publications

References 138 publications

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A theoretical model to predict the structural buildability of 3D printable concrete

Prem,

Ambily,

Kumar

et al. 2024

Mech Time-Depend Mater

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A theoretical model to predict the structural buildability of 3D printable concrete

Prem,

Ambily,

Kumar

et al. 2024

Mech Time-Depend Mater

View full text Add to dashboard Cite

Advanced enhancement technique for infrared images of wind turbine blades utilizing adaptive difference multi-scale top-hat transformation

He,

Kang,

et al. 2024

Sci Rep

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Enhancing infrared images is essential for detecting wind turbine blades using infrared technology. This paper introduces an Infrared Image Enhancement Method based on Adaptive Iterative Cutoff Threshold Difference Multi-Scale Top-Hat Transformation (AICT-DMTH) to address the challenge of low image clarity in infrared detection. The method involves performing a black-white difference top-hat transformation by utilizing structural elements of varying scales for dilation and erosion. Additionally, an iterative threshold method is applied to extract more detailed image features, followed by setting a cutoff constant to determine the final scale of the structural element. The effectiveness of the proposed method is evaluated both qualitatively and quantitatively, with infrared images from laboratory and wind farm settings enhanced and compared against existing methods. The experimental results indicate that the proposed method significantly improves the clarity of infrared images, demonstrating robustness in enhancing images from various environments.

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Mixing approach for 3D printable concrete: method of optimisation of superplasticiser dosage

Ambily,

Kaliyavaradhan,

Sebastian

et al. 2024

Magazine of Concrete Research

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This study systematically investigates the superplasticizer (SP) addition methods and optimum SP dosage with various water binder (w/b) ratios for mixing 3D printable concrete (3DPC). In the present study, five distinct strategies were adopted to arrive at the optimum Method of Addition (MoA). The first strategy applied the random mixing approach to identify the methods for adding SP with varying time patterns through visual observation. Secondly, a constant time pattern was adopted from the random approach for mixing and the optimal SP dosage was determined. The third strategy examined different addition methods with the optimum SP dosage. In the fourth strategy, the batching effect of the material with the optimum SP dosage was assessed, and finally, the printable region with different w/b ratios and SP dosages were correlated. The observations illustrated that the optimum SP dosage in the range of 0.10 to 0.21% of binder with a w/b ratio of 0.21 to 0.25 achieved adequate printability parameters by full addition of SP following a constant wet mixing time as the optimal application. However, after applying the optimum SP dosage, a supplemental SP dosage is required at appropriate intervals to retain the workability for higher batches.

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A Review on Application of Acoustic Emission Testing During Additive Manufacturing

Cited by 5 publications

References 138 publications

A theoretical model to predict the structural buildability of 3D printable concrete

A theoretical model to predict the structural buildability of 3D printable concrete

Advanced enhancement technique for infrared images of wind turbine blades utilizing adaptive difference multi-scale top-hat transformation

Mixing approach for 3D printable concrete: method of optimisation of superplasticiser dosage

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