{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T12:13:00Z","timestamp":1788437580368,"version":"build-2803163510"},"reference-count":61,"publisher":"American Chemical Society (ACS)","issue":"34","license":[{"start":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T00:00:00Z","timestamp":1787184000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002383","name":"King Saud University","doi-asserted-by":"publisher","award":["ORF-2026-1251"],"award-info":[{"award-number":["ORF-2026-1251"]}],"id":[{"id":"10.13039\/501100002383","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Abrasive water jet machining (AWJM) of fiber-reinforced composites requires balanced control of surface roughness, kerf width, and material removal rate. This study proposes a statistically bound, benchmarked, and reproducible regression-desirability optimization workflow for the glass fiber-reinforced composite (GFRC) and carbon fiber-reinforced composite (CFRC) using the published Taguchi L9 AWJM data set of Rao et al. as a secondary-data benchmark. Abrasive mass flow rate (AMFR), cutting speed rate (SR), and stand-off distance (SOD) were modeled against surface roughness (Ra), kerf width (Kw), and material removal rate (MRR) using first-order ordinary least-squares regression. Model adequacy was evaluated using coefficient inference, ANOVA, residual diagnostics, error metrics, and leave-one-out cross-validation. The fitted surrogates were coupled with desirability aggregation and optimized using the Whale Optimization Algorithm (WOA), followed by benchmarking against GA, PSO, and NSGA-II and bootstrap uncertainty analysis. MRR showed the strongest statistical structure. For GFRC, AMFR significantly influenced MRR (\u03b2 = 21.887, p = 0.009; R2 = 0.801), while for CFRC, SR was significant for MRR (\u03b2 = 8.216, p = 0.040; R2 = 0.697). In contrast, Ra and Kw showed weak linear predictability, with low R2 and negative LOOCV R2 values. Within the bounded OLS surrogate\u2013desirability formulation, WOA identified local compromise settings of 95 g\/min, 360 mm\/min, and 2.5 mm for GFRC (D = 0.6052), and 95 g\/min, 397.45 mm\/min, and 4.5 mm for CFRC (D = 0.6310). GA and PSO reached identical optima, while NSGA-II gave closely comparable solutions, indicating optimizer consistency rather than WOA superiority. The framework supports bounded AWJM parameter selection under small-sample constraints. However, because Ra and Kw showed weak out-of-sample predictive validity, their optimized values are reported only as local, low-confidence OLS surrogate estimates; reliable Ra\/Kw optimization requires nonlinear or expanded experimental modeling.<\/jats:p>","DOI":"10.1021\/acsomega.5c13245","type":"journal-article","created":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T09:01:24Z","timestamp":1787216484000},"page":"50732-50750","source":"Crossref","is-referenced-by-count":0,"title":["Bio-Inspired Optimization\nof AWJM Parameters for Enhanced\nMachining of Glass and Carbon Fiber-Reinforced Composites"],"prefix":"10.1021","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-2591-6655","authenticated-orcid":true,"given":"Mohammed R. 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Compos."},{"key":"2026090307172363100_cit3","doi-asserted-by":"publisher","first-page":"012014","DOI":"10.1088\/1757-899X\/574\/1\/012014","article-title":"Performance\nAnalysis\nof Abrasive Water Jet Cutting Process in Carbon Fiber Epoxy Polymer\nComposite","volume":"574","author":"Potom","year":"2019","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"key":"2026090307172363100_cit4","doi-asserted-by":"publisher","first-page":"437","DOI":"10.3390\/jcs8100437","article-title":"The\nAbrasive Water Jet Cutting Process of Carbon-Fiber-Reinforced Polylactic\nAcid Samples Obtained by Additive Manufacturing: A Comparative Analysis","volume":"8","author":"Rosa","year":"2024","journal-title":"J. Compos. 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Mater."},{"key":"2026090307172363100_cit50","doi-asserted-by":"publisher","first-page":"167","DOI":"10.4271\/05-17-02-0013","article-title":"Experimental Analysis\nof Kerf Characteristics of Carbon\nFiber-Reinforced Polymer with Abrasive Water Jet Machining","volume":"17","author":"Chandgude","year":"2024","journal-title":"SAE Int. J. Mater. Manuf."},{"key":"2026090307172363100_cit51","doi-asserted-by":"publisher","first-page":"11024","DOI":"10.1007\/s11665-025-12478-7","article-title":"Experimental Study on Parametric Impact for Precision\nMachining of Armor Steel Using Abrasive Water Jet Machining","volume":"35","author":"Raj","year":"2026","journal-title":"J. Mater. Eng. Perform."},{"key":"2026090307172363100_cit52","doi-asserted-by":"publisher","first-page":"522","DOI":"10.14429\/dsj.66.9501","article-title":"Abrasive\nwater jet machining of carbon\nepoxy composite","volume":"66","author":"Dhanawade","year":"2016","journal-title":"Def. Sci. 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