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The aim is to examine the impact of processing parameters on temperature history.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>Through analytical investigation and finite element simulation, this research examines the influence of processing parameters on temperature history. Simufact software with a thermomechanical approach was used for finite element simulation, while radial basis function, Akbari\u2013Ganji and Gaussian methods were used for analytical modeling to solve the heat transfer differential equation.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The accuracy of both finite element and analytical methods was validated with about 90%. The findings revealed direct relationships between thermal conductivity (from 100 to 200), laser power (from 400 to 800\u2009W), heat source depth (from 0.35 to 0.75) and power absorption coefficient (from 0.4 to 0.8). Increasing the values of these parameters led to higher temperature history. On the other hand, density (from 7,600 to 8,200), emission coefficient (from 0.5 to 0.7) and convective heat transfer (from 35 to 90) exhibited an inverse relationship with temperature history.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The application of analytical modeling, particularly the utilization of the Akbari\u2013Ganji, radial basis functions and Gaussian methods, showcases an innovative approach to studying directed energy deposition. This analytical investigation offers an alternative to relying solely on experimental procedures, potentially saving time and resources in the optimization of DED processes.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/rpj-05-2023-0165","type":"journal-article","created":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T22:53:50Z","timestamp":1703026430000},"page":"338-349","source":"Crossref","is-referenced-by-count":7,"title":["Modeling the effect of processing parameters on temperature history in Directed Energy Deposition: an analytical and finite element approach"],"prefix":"10.1108","volume":"30","author":[{"given":"Mehran","family":"Ghasempour-Mouziraji","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Afonso","sequence":"additional","affiliation":[]},{"given":"Saman","family":"Hosseinzadeh","sequence":"additional","affiliation":[]},{"given":"Constantinos","family":"Goulas","sequence":"additional","affiliation":[]},{"given":"Mojtaba","family":"Najafizadeh","sequence":"additional","affiliation":[]},{"given":"Morteza","family":"Hosseinzadeh","sequence":"additional","affiliation":[]},{"given":"D.D.","family":"Ganji","sequence":"additional","affiliation":[]},{"given":"Ricardo","family":"Alves de Sousa","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2023,12,21]]},"reference":[{"issue":"25\/26","key":"key2024020606474128400_ref001","doi-asserted-by":"publisher","first-page":"7648","DOI":"10.1016\/j.msea.2011.06.074","article-title":"A comparative study of laser direct metal deposition characteristics using gas and plasma-atomized Ti-6Al-4V powders","volume":"528","year":"2011","journal-title":"Materials Science and Engineering: A"},{"issue":"12","key":"key2024020606474128400_ref002","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1016\/j.optlaseng.2007.06.010","article-title":"A 3D dynamic numerical approach for temperature and thermal stress distributions in multilayer laser solid freeform fabrication process","volume":"45","year":"2007","journal-title":"Optics and Lasers in Engineering"},{"issue":"May","key":"key2024020606474128400_ref003","doi-asserted-by":"publisher","first-page":"117643","DOI":"10.1016\/j.jmatprotec.2022.117643","article-title":"Analytical modeling of multi-track powder-fed laser directed energy deposition: on the relationships among process, deposition dimensions, and solidification microstructure in additively manufactured near-\u03b2 titanium alloy","volume":"306","year":"2022","journal-title":"Journal of Materials Processing Technology"},{"key":"key2024020606474128400_ref004","unstructured":"ASM International (2020), \u201cASM Handbook \u2013 volume 24 additive manufacturing processes\u201d, Materials Characterization."},{"key":"key2024020606474128400_ref005","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.addma.2017.12.007","article-title":"In-situ distortions in LMD additive manufacturing walls can be measured with digital image correlation and predicted using numerical simulations","volume":"20","year":"2018","journal-title":"Additive Manufacturing"},{"issue":"1\/4","key":"key2024020606474128400_ref006","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1007\/s00170-015-7576-2","article-title":"Additive manufacturing methods and modeling approaches: a critical review","volume":"83","year":"2016","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"key2024020606474128400_ref007","article-title":"Radial basis functions: theory and implementations","year":"2023"},{"key":"key2024020606474128400_ref008","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.addma.2017.02.005","article-title":"Three-dimensional finite element thermomechanical modeling of additive manufacturing by selective laser melting for ceramic materials","volume":"16","year":"2017","journal-title":"Additive Manufacturing"},{"issue":"2","key":"key2024020606474128400_ref009","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1108\/RPJ-10-2015-0136","article-title":"Numerical simulation and experimental calibration of additive manufacturing by blown powder technology. 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