Predictive Modeling of Surface Roughness Based on Response Surface Methodology after WAAM

Tian, Hongyu; Lu, Zhenyang; Li, Fang; Shu-jun, Chen

doi:10.2991/ice2me-19.2019.11

Cited by 10 publications

(4 citation statements)

References 18 publications

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“…The corresponding roughness value of each process is discussed in [136,137]: it is 4-11 μm Ra for SLM, 15-35 μm Ra for SEBM, 10 μm Ra and 200 μm Ra for LMD, and can be very important for WAAM. Note that models are searched for the prediction of surface roughness (see a list of studies in the introduction of [138]), the optimization of process parameters as well as the roughness minimization (as in [138]) for manufacturing using WAAM and milling.…”

Section: Summary Discussion and Perspectivesmentioning

confidence: 99%

Applications on Ultrasonic Wave

2021

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Section: Summary Discussion and Perspectivesmentioning

confidence: 99%

Applications on Ultrasonic Wave

2021

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“…The corresponding roughness value of each process is discussed in [136,137]: it is 4-11 µ m Ra for SLM, 15-35 µ m Ra for SEBM, 10 µ m Ra and 200 µ m Ra for LMD, and can be very important for WAAM. Note that models are searched for the prediction of surface roughness (see a list of studies in the introduction of [138]), the optimization of process parameters as well as the roughness minimization (as in [138]) for manufacturing using WAAM and milling.…”

Section: Summary Discussion and Perspectivesmentioning

confidence: 99%

Acoustic Scattering Models from Rough Surfaces: A Brief Review and Recent Advances

Darmon

Dorval

Baqué³

2020

Applied Sciences

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This paper proposes a brief review of acoustic wave scattering models from rough surfaces. This review is intended to provide an up-to-date survey of the analytical approximate or semi-analytical methods that are encountered in acoustic scattering from random rough surfaces. Thus, this review focuses only on the scattering of acoustic waves and does not deal with the transmission through a rough interface of waves within a solid material. The main used approximations are classified here into two types: the two historical approximations (Kirchhoff approximation and the perturbation theory) and some sound propagation models more suitable for grazing observation angles on rough surfaces, such as the small slope approximation, the integral equation method and the parabolic equation. The use of the existing approximations in the scientific literature and their validity are highlighted. Rough surfaces with Gaussian height distribution are usually considered in the models hypotheses. Rather few comparisons between models and measurements have been found in the literature. Some new criteria have been recently determined for the validity of the Kirchhoff approximation, which is one of the most used models, owing to its implementation simplicity.

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“…Since WAAM is an AM method, nishing process are often required and surface roughness can be improved by machining methods such as milling. However in useage areas where surface roughness is an important criterion, it is necessary to optimize the parameters of nishing process or use different methods to improve the surface properties [38,39].…”

Section: Atomic Force Microscopy (Afm)mentioning

confidence: 99%

Wire Arc Additive Manufacturing Of 5356 Aluminum Alloy

Bozkurt¹,

ÖZDEMİR²,

KALENDER³

2022

Preprint

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Additive manufacturing technology is a new technology that is considered to be a technological revolution in the manufacturing industry. It has advantages such as design flexibility, saving material and time, producing low-density and high-strength parts. Due to these advantages it is used in many sectors such as aviation and automotive. The additive manufacturing method can be integrated into different welding methods. One of these technologies is wire arc additive manufacturing (WAAM). Metal inert/active gas (MIG/MAG) or tungsten inert gas (TIG) welding methods are generally used in this method. The basic principle of the WAAM method is to melt the raw material in the form of wire with electric arc heat and deposit it in layers on top of each other. The fact that large-sized and complex parts can be produced without any problems, almost no waste, and being economical compared to other metal additive manufacturing methods has made this technique a demanding production method.In this study, AA5356 aluminum alloy wires with a diameter of 2.4 mm were deposited on plates under argon gas by TIG welding method and jointed aluminum parts were produced with different welding parameters. As a result of tests and microstructure investigations, it was determined that the samples prepared parallel and perpendicular to the weld seam direction showed different behavior in terms of mechanical properties. These results were supported by the microstructure and compared with the parts produced by traditional methods. In addition mechanical tests and microstructural examinations were supported by EBSD, EDS and AFM analyzes.

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Predictive Modeling of Surface Roughness Based on Response Surface Methodology after WAAM

Cited by 10 publications

References 18 publications

Applications on Ultrasonic Wave

Applications on Ultrasonic Wave

Acoustic Scattering Models from Rough Surfaces: A Brief Review and Recent Advances

Wire Arc Additive Manufacturing Of 5356 Aluminum Alloy

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