Reducing the roughness of internal surface of an additive manufacturing produced 316 steel component by chempolishing and electropolishing

By P. Tyagi, Tobias Goulet, Christopher Riso, R. Stephenson, Nitt Chuenprateep, Justin Schlitzer, Cordell Benton, F. García‐Moreno. Additive Manufacturing, 2018

196 citations recorded by the source corpus.

Reducing the surface roughness of an additively manufactured (AM) component is one of the most critical factors in determining the suitability of an AM component. As produced surface roughness of an AM component is very high. This prohibits the direct utilization of AM components for the intended applications. For most of the engineering applications, surface roughness must be reduced significantly. Reducing surface roughness is exponentially more challenging for the internal surfaces of a component. This paper reports research in the area of post processing interior surfaces of an AM component. Electropolishing and chemical polishing (chempolishing) methods were applied to reduce the surface roughness of the internal surface. It was found that chempolishing was very effective in simultaneously reducing the internal and external surface roughness of steel AM components for any complicated AM shape and geometry. The electropolishing methodology employed was very effective in reducing the surface roughness of the internal or external surfaces as long as a counter electrode could be positioned in the proximity of the surface to be polished. However, electropolishing produced better performance on the outer surfaces as compared to chempolishing. This paper summarizes research efforts to tackle the critical issue of reducing the surface roughness of complex AM components.

Subfields: Automotive Engineering, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/8ed8f20ababc58e825beffd05f5951948a78317f

How researchers see this paper

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In Automotive Engineering

1. T. Mukherjee
2. T. DebRoy
3. H. Wei
4. J. Elmer
5. J. Milewski
6. A. Nagalingam
7. Swee Hock Yeo
8. Jian-Yuan Lee

In Mechanical Engineering

1. T. Mukherjee
2. T. DebRoy
3. H. Wei
4. J. Elmer
5. J. Milewski
6. Swee Hock Yeo
7. A. Nagalingam
8. Jian-Yuan Lee

In Mechanics of Materials

1. T. Mukherjee
2. T. DebRoy

Citations in the corpus

• A review on the state-of-the-art of surface finishing processes and related ISO/ASTM standards for metal additive manufactured components (2020, methodology): “Yes (Van Hooreweder et al. 2017) Yes (Yung et al. 2018) Al-based Alloys (e.g. F3318, AlSi10Mg, etc) Yes (Peng et al. 2018) N.A.”
• Metallurgy, mechanistic models and machine learning in metal printing (2020, methodology): “Post-build processing, such as machining, grinding, chemical treatment or polishing, is often used to achieve a smooth surface 111,112 .”