Performance of discontinuity-free components produced by additive turning computer aided manufacturing strategy

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Abstract

Computer aided manufacturing (CAM) techniques for directed energy deposition (DED) affect the material properties of the manufactured component based on the scan strategy used. This research investigates the material characteristics of turning-style toolpath strategies to generate axisymmetric components with additive manufacturing (AM), referred to in this research as additive turning. This novel approach leverages existing CAM technology for turning, where the component rotates around a stationary cutting tool, to generate toolpath trajectories for DED with varying wall-thicknesses and controlled deposition angles. This strategy allows for entire components to be deposited in one continuous deposition, resulting in reduced cycle-time and improved material usage efficiency compared to conventional AM strategies where the beam is switched off at the end of every layer. Results from this study show that the use of additive turning can produce over 99 % dense components with less variation and anisotropy in texture and hardness, as well as a lower variation in elongation to failure when compared to conventional strategies. This research highlights that various CAM strategies could be deployed for AM to improve process efficiency or enable localized control over part performance.

Introduction

It’s well known that scan strategies in additive manufacturing (AM) impact the material properties of the resulting component. 316 L stainless steel has been widely studied by the AM community. Various AM techniques such as powder bed fusion, blown powder DED, wire arc, and binder jet are being utilized in current work by Dryepondt et al. (2021), Lecis et al. (2021), Lee (2020), and Kim et al. (2019), respectively. The majority of reported literature on 316 L stainless steel manufactured by AM indicate the microstructure of 316 L stainless steels to be fully austenitic with a columnar grain structure with solidification cells. However, considering the rapid cooling rates of AM and associated solute segregation, researchers such as Yadollahi et al. (2015), Ziętala et al. (2016), Bajaj et al. (2020), and Lecis et al. (2021) have reported δ ferrite getting retained at room temperature in 316 L stainless steel fabricated by DED. Irrespective of the retention of δ ferrite, considering the absence of any solid-state phase transformations post solidification, 316 L stainless steel enables a better understanding on the effect of the toolpath on microstructure.

Honeycutt et al. (2021), Praniewicz et al. (2019), and Feldhausen et al. (2020) have indicated that generating directed energy deposition (DED) toolpaths for large axisymmetric components with complex features is difficult and time consuming. Applications such as rocket nozzles, nose cones, and pipes used in the oil and gas industries have been explored by Gradl et al. (2018), Panchagnula and Simhambhatla (2018), and Yamazaki (2016), respectively. Common computer aided manufacturing (CAM) strategies for these components offer the use of one-dimensional spiraling toolpaths for thin-walled components where only one bead thickness is needed. For applications where a wall thickness greater than one bead is needed, a strategy that employs the use of concentric circles in a piecewise layer fashion (similar to the strategy shown in Fig. 2a) is often used. With this strategy, the manufacturing time and material waste is increased at each start/stop point, known as a process discontinuity. To the best of the authors’ knowledge, there are currently no studies that explore spiral toolpath strategies that produce components with more than a one-bead wall-thickness.

The toolpath explored in this study, termed additive turning, utilizes a three-dimensional spiral toolpath, allowing axisymmetric components greater than one bead thick to be manufactured with a continuous deposition strategy. The constant spiraling of the toolpath results in the weld-tracks to be constantly crossing, analogous to layer rotations in raster-styled slicing strategies. This ensures that any defects are homogeneously distributed throughout the part. This continuous deposition toolpath strategy allows for components to be made faster with less wasted material. However, the material properties of such a strategy are unknown and is the focus of this study.

Section snippets

Methodology

Additive turning, a novel additive toolpath strategy, was developed by OPEN MIND Technologies AG to operate within its hyperMILL CAM software. Additive turning allows axisymmetric components with varying wall-thicknesses to be manufactured by utilizing a combined raster-spiral method. As shown in Fig. 1, the generated toolpath moves in a rastering pattern radially while simultaneously spiraling upwards. This enables streamlined toolpath generation for varying wall-thickness components

Results and discussion

Thermal IR images from each experiment were analyzed at three locations (bottom, middle, top) along the build direction. To determine the mean temperature at each height location, thermal images were compensated for optical distortion in the viewing angle and three equally spaced points with a constant radial distance were averaged. The results from the thermal analysis can be seen in Appendix Fig. A2. For each experiment, the average steady state temperature was reached after approximately

Conclusions

From the results presented above, the continuous deposition strategy termed additive turning results in fewer defects and less scatter in mechanical properties when compared to conventional toolpath strategies. By leveraging existing CAM technology, additive turning allows for axisymmetric components with varying wall-thickness to be deposited using continuous 5-axis motion. The continuous deposition nature of additive turning can also reduce cycle-time by allowing components to be deposited

CRediT authorship contribution statement

Thomas Feldhausen: Conceptualization, Methodology, Software, Formal analysis, Investigation, Data curation, Writing – original draft, Visualization, Funding acquisition, Project administration. Rangasayee Kannan: Methodology, Software, Formal analysis, Investigation, Data curation, Writing – original draft. Kyle Saleeby: Data curation, Visualization, Writing – review & editing. James Haley: Writing – review & editing, Investigation. Rebecca Kurfess: Writing – review & editing, Resources. David

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

The authors would like to acknowledge the cooperation and support of the Okuma Corporation, Carl Zeiss Industrial Metrology LLC. The authors would also like to acknowledge Paul Brackman, Dennis Brown, Matt Sallas, Sarah Graham, Ryan Duncan, and Andrés Márquez Rossy. This work was supported by the US Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office under contract number DE-AC05-00OR22725.

References (29)

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This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

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