{"article_number":"1353","file_date_updated":"2024-11-28T08:50:05Z","citation":{"chicago":"Chalicheemalapalli Jayasankar, Deviprasad, Stefan Gnaase, Dennis Lehnert, Artur Walter, Robin Rohling, and Thomas Tröster. “Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling.” <i>Metals</i> 14, no. 12 (2024). <a href=\"https://doi.org/10.3390/met14121353\">https://doi.org/10.3390/met14121353</a>.","apa":"Chalicheemalapalli Jayasankar, D., Gnaase, S., Lehnert, D., Walter, A., Rohling, R., &#38; Tröster, T. (2024). Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling. <i>Metals</i>, <i>14</i>(12), Article 1353. <a href=\"https://doi.org/10.3390/met14121353\">https://doi.org/10.3390/met14121353</a>","mla":"Chalicheemalapalli Jayasankar, Deviprasad, et al. “Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling.” <i>Metals</i>, vol. 14, no. 12, 1353, MDPI AG, 2024, doi:<a href=\"https://doi.org/10.3390/met14121353\">10.3390/met14121353</a>.","short":"D. Chalicheemalapalli Jayasankar, S. Gnaase, D. Lehnert, A. Walter, R. Rohling, T. Tröster, Metals 14 (2024).","ieee":"D. Chalicheemalapalli Jayasankar, S. Gnaase, D. Lehnert, A. Walter, R. Rohling, and T. Tröster, “Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling,” <i>Metals</i>, vol. 14, no. 12, Art. no. 1353, 2024, doi: <a href=\"https://doi.org/10.3390/met14121353\">10.3390/met14121353</a>.","bibtex":"@article{Chalicheemalapalli Jayasankar_Gnaase_Lehnert_Walter_Rohling_Tröster_2024, title={Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling}, volume={14}, DOI={<a href=\"https://doi.org/10.3390/met14121353\">10.3390/met14121353</a>}, number={121353}, journal={Metals}, publisher={MDPI AG}, author={Chalicheemalapalli Jayasankar, Deviprasad and Gnaase, Stefan and Lehnert, Dennis and Walter, Artur and Rohling, Robin and Tröster, Thomas}, year={2024} }","ama":"Chalicheemalapalli Jayasankar D, Gnaase S, Lehnert D, Walter A, Rohling R, Tröster T. Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling. <i>Metals</i>. 2024;14(12). doi:<a href=\"https://doi.org/10.3390/met14121353\">10.3390/met14121353</a>"},"intvolume":"        14","author":[{"full_name":"Chalicheemalapalli Jayasankar, Deviprasad","last_name":"Chalicheemalapalli Jayasankar","first_name":"Deviprasad"},{"first_name":"Stefan","full_name":"Gnaase, Stefan","last_name":"Gnaase"},{"full_name":"Lehnert, Dennis","last_name":"Lehnert","first_name":"Dennis"},{"last_name":"Walter","full_name":"Walter, Artur","first_name":"Artur"},{"last_name":"Rohling","full_name":"Rohling, Robin","first_name":"Robin"},{"full_name":"Tröster, Thomas","last_name":"Tröster","first_name":"Thomas"}],"department":[{"_id":"149"},{"_id":"219"},{"_id":"624"}],"year":"2024","has_accepted_license":"1","issue":"12","file":[{"content_type":"application/pdf","file_id":"57469","date_updated":"2024-11-28T08:50:05Z","file_name":"metals-14-01353.pdf","access_level":"closed","file_size":3370244,"relation":"main_file","success":1,"date_created":"2024-11-28T08:50:05Z","creator":"dlehnert"}],"date_created":"2024-11-28T08:45:55Z","publisher":"MDPI AG","publication_identifier":{"issn":["2075-4701"]},"abstract":[{"text":"<jats:p>The optimization of process parameters in powder Directed Energy Deposition (DED) is essential for achieving consistent, high-quality bead geometries, which directly influence the performance and structural integrity of fabricated components. As a subset of additive manufacturing (AM), the DED process, also referred to as laser metal deposition (LMD), enables precise, layer-by-layer material deposition, making it highly suitable for complex geometries and part repair applications. Critical parameters, such as the laser power, feed rate, powder mass flow, and substrate temperature govern the deposition process, impacting the bead height, width, contact angle, and dilution. Inconsistent control over these variables can lead to defects, such as poor bonding, dimensional inaccuracies, and material weaknesses, ultimately compromising the final product. This paper investigates the effects of various process parameters, specifically the substrate temperature, on bead track geometry in DED processes for stainless steel (1.4404). A specialized experimental setup, integrated within a DED machine, facilitates the controlled thermal conditioning of sample sheets. Using Design of Experiments (DoE) methods, individual bead marks are generated and analyzed to assess geometric characteristics. Regression models, including both linear and quadratic approaches, are constructed to predict machine parameters for achieving the desired bead geometry at different substrate temperatures. Validation experiments confirm the accuracy and reliability of the models, particularly in predicting the bead height, bead width, and contact angle across a broad range of substrate temperatures. However, the models demonstrated limitations in accurately predicting dilution, indicating the need for further refinement. Despite some deviations in measured values, successful fabrication is achieved, demonstrating robust bonding between the bead and substrate. The developed models offer insights into optimizing DED process parameters to achieve desired bead characteristics, advancing the precision and reliability of additive manufacturing technology. Future work will focus on refining the regression models to improve predictions, particularly for dilution, and further investigate non-linear interactions between process variables.</jats:p>","lang":"eng"}],"_id":"57468","ddc":["670"],"date_updated":"2024-11-28T08:52:19Z","doi":"10.3390/met14121353","publication":"Metals","title":"Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling","status":"public","user_id":"90491","type":"journal_article","publication_status":"published","volume":14,"language":[{"iso":"eng"}]}