{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T19:44:18Z","timestamp":1771271058737,"version":"3.50.1"},"reference-count":39,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T00:00:00Z","timestamp":1738195200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000151","name":"Division of Industrial Innovation and Partnerships","doi-asserted-by":"publisher","award":["IIP 1738723"],"award-info":[{"award-number":["IIP 1738723"]}],"id":[{"id":"10.13039\/100000151","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Science and Technology of Welding and Joining"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:p>\n            Process modeling of ultrasonic additive manufacturing (UAM) is critical for optimizing process settings with minimal experimental trials. In this research, a parameter termed weld quality (\n            <jats:italic>\n              Q\n              <jats:sub>w<\/jats:sub>\n            <\/jats:italic>\n            ) is formulated based on hardness and process settings to predict the shear strength of aluminum alloy 6061 (AA6061) UAM weld interfaces between similar and dissimilar tempers. Four AA6061 tempers are investigated: O (annealed), H18 (cold rolled with 75% thickness reduction), T4 (solution heat treated and naturally aged), and T6 (solution heat treated and artificially aged). Shear samples quantify the shear strength at foil-to-foil and baseplate-to-foil interfaces, with near-gapless bonding observed. The\n            <jats:italic>\n              Q\n              <jats:sub>w<\/jats:sub>\n            <\/jats:italic>\n            parameter linearly correlates with shear strength measurements, achieving a coefficient of determination (\n            <jats:inline-formula>\n              <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                <mml:msup>\n                  <mml:mi>R<\/mml:mi>\n                  <mml:mn>2<\/mml:mn>\n                <\/mml:msup>\n              <\/mml:math>\n            <\/jats:inline-formula>\n            ) of 91.18%.\n          <\/jats:p>","DOI":"10.1177\/13621718241298519","type":"journal-article","created":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T07:41:57Z","timestamp":1738309317000},"page":"97-104","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Analytical model for estimation of interface weld strength in ultrasonic additive manufacturing (UAM) of similar and dissimilar tempered aluminum alloy 6061 (AA6061)"],"prefix":"10.1177","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0385-2378","authenticated-orcid":false,"given":"Muzamil","family":"Ali","sequence":"first","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. Bryant","family":"Gingerich","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leon M.","family":"Headings","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4888-1903","authenticated-orcid":false,"given":"Marcelo J.","family":"Dapino","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,1,30]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1108\/RPJ-03-2019-0056"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1108\/13552540710776179"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.scriptamat.2016.02.013"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruct.2018.10.004"},{"key":"e_1_3_3_6_2","unstructured":"Siggard EJ. Investigative research into the structural embedding of electrical and mechanical systems using ultrasonic consolidation (UC). Master\u2019s Thesis Utah State University Department of Mechanical and Aerospace Engineering 2007."},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mfglet.2021.08.001"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.3390\/cryst12121696"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1088\/2053-1591\/abe9d3"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1557\/jmr.2014.139"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.matdes.2008.04.037"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmatprotec.2024.118491"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1179\/026708310X12815992418256"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0007-8506(07)61760-0"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2017.08.009"},{"key":"e_1_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.matdes.2008.04.050"},{"key":"e_1_3_3_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/0001-6160(89)90040-0"},{"key":"e_1_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1179\/030634582790427028"},{"key":"e_1_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.msea.2017.03.056"},{"key":"e_1_3_3_20_2","first-page":"183","article-title":"Artificial neural network (ANN) approach to prediction of diffusion bonding behavior (shear strength) of Ni\u2013Ti alloys manufactured by powder metallurgy method","volume":"13","author":"Taskin M","year":"2008","unstructured":"Taskin M, Dikbas H, Caligulu U. Artificial neural network (ANN) approach to prediction of diffusion bonding behavior (shear strength) of Ni\u2013Ti alloys manufactured by powder metallurgy method. Math Comput Appl 2008; 13: 183\u2013191.","journal-title":"Math Comput Appl"},{"key":"e_1_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1080\/13621718.2019.1607486"},{"key":"e_1_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.actamat.2010.03.006"},{"key":"e_1_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmrt.2023.05.191"},{"key":"e_1_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirpj.2023.04.004"},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.msea.2015.05.019"},{"key":"e_1_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1080\/13621718.2016.1249644"},{"key":"e_1_3_3_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compositesb.2018.06.001"},{"key":"e_1_3_3_28_2","doi-asserted-by":"publisher","DOI":"10.1108\/RPJ-07-2020-0168"},{"key":"e_1_3_3_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.matdes.2010.04.022"},{"key":"e_1_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1088\/1468-6996\/9\/2\/023001"},{"key":"e_1_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-020-06439-8"},{"key":"e_1_3_3_32_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmat.2015.05.008"},{"key":"e_1_3_3_33_2","first-page":"105S","article-title":"Microstructural characterization of bonding interfaces in aluminum 3003 blocks fabricated by ultrasonic additive manufacturing","volume":"89","author":"Schick D","year":"2010","unstructured":"Schick D, Hahnlen R, Dehoff R, et al. Microstructural characterization of bonding interfaces in aluminum 3003 blocks fabricated by ultrasonic additive manufacturing. 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