Multi-objective Optimization and Development of Mathematical Model for Process Parameters of AmaranthGrains using Regression Analysis

Multi-objective Optimization and Development of Mathematical Model for Process Parameters of AmaranthGrains using Regression Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Short Report Multi-objective Optimization and Development of Mathematical Model for Process Parameters of AmaranthGrains using Regression Analysis Sagar Dnyandev Patil, Aniket B. Khot, Prafulla R Hatte This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3852631/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Purpose - There are several ways to heat amaranth grains, including oven puffing, gun puffing, extrusion puffing, oil puffing, pan popping, etc. Because of its size, puffing characteristics, poor volume expansion ratio, etc., amaranth grains cannot be popped in an oven, gun, extrusion, oil, or pan. In this study, the amaranth grains were popped or puffed using a Special Purpose Machine (SPM) with a heating plate. This device was created to get around all of the earlier listed restrictions. The temperature, angle, nozzle hole size, heating plate material, and other factors all affect the quality of amaranth grains. Major quality indicators of amaranth grains are the Popping Yield, Ratio of Volume Expansion, and Sensory Score. These quality indicators are examined for the effect of process characteristics on them. Therefore, these characteristics are complete to conduct additional research. The purpose of this study is to examine the more important process variables that affect the quality indicators of Amaranth grains. Methodology – For examining how different process variables affect the grain quality of amaranth, the Taguchi method was used. The significant factors were found using Minitab 17 software. Findings – The design of the experiment has been improved for the major process parameters, according to the experimental analysis and optimization study. To conduct the experimental research, L16 Orthogonal Array has been acquired. The original setup (P 4 Q 2 R 3 S 2 ) for the GRA technique had a GRG of 0.778. By utilizing a new optimum combination (P 3 Q 4 R 3 S 2 ), it was raised to 0.790. It indicates that the grade has increased by 1.89%. As a result, design factors have been successfully optimized utilizing the Gray Relational Analysis approach to produce improved machine parameters for the Lahi machine. Originality : The Gray Relational Analysis approach used to for multi objective optimization which gives 1.89% improvements in quality of grains. Amaranth grain Gray Relational Analysis Gray Relational Grade ANOVA Taguchi method Popping yield (PY) Ratio of Volume Expansion (VER) Sensory score (SS) Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3852631","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":266708788,"identity":"6701c078-dc42-4204-b871-50ab9ba7023a","order_by":0,"name":"Sagar Dnyandev Patil","email":"data:image/png;base64,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","orcid":"","institution":"Sharad Institute of Technology College of Engineering","correspondingAuthor":true,"prefix":"","firstName":"Sagar","middleName":"Dnyandev","lastName":"Patil","suffix":""},{"id":266708789,"identity":"c5f094ae-9f97-48b7-b195-d97468d5906b","order_by":1,"name":"Aniket B. 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In this study, the amaranth grains were popped or puffed using a Special Purpose Machine (SPM) with a heating plate. This device was created to get around all of the earlier listed restrictions. The temperature, angle, nozzle hole size, heating plate material, and other factors all affect the quality of amaranth grains. Major quality indicators of amaranth grains are the Popping Yield, Ratio of Volume Expansion, and Sensory Score. \u0026nbsp;These quality indicators are examined for the effect of process characteristics on them. Therefore, these characteristics are complete to conduct additional research. The purpose of this study is to examine the more important process variables that affect the quality indicators of Amaranth grains. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethodology \u003c/strong\u003e– For examining how different process variables affect the grain quality of amaranth, the Taguchi method was used. The significant factors were found using Minitab 17 software.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFindings \u003c/strong\u003e– The design of the experiment has been improved for the major process parameters, according to the experimental analysis and optimization study. To conduct the experimental research, L16 Orthogonal Array has been acquired. The original setup (P\u003csub\u003e4\u003c/sub\u003eQ\u003csub\u003e2\u003c/sub\u003eR\u003csub\u003e3\u003c/sub\u003eS\u003csub\u003e2\u003c/sub\u003e) for the GRA technique had a GRG of 0.778. By utilizing a new optimum combination (P\u003csub\u003e3\u003c/sub\u003eQ\u003csub\u003e4\u003c/sub\u003eR\u003csub\u003e3\u003c/sub\u003eS\u003csub\u003e2\u003c/sub\u003e), it was raised to 0.790. It indicates that the grade has increased by 1.89%. As a result, design factors have been successfully optimized utilizing the Gray Relational Analysis approach to produce improved machine parameters for the Lahi machine.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOriginality\u003c/strong\u003e: The Gray Relational Analysis approach used to for multi objective optimization which gives 1.89% improvements in quality of grains.\u003c/p\u003e","manuscriptTitle":"Multi-objective Optimization and Development of Mathematical Model for Process Parameters of AmaranthGrains using Regression Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-15 02:52:45","doi":"10.21203/rs.3.rs-3852631/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"36664def-7ac4-48d1-b14c-57641e003f43","owner":[],"postedDate":"January 15th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-01-31T22:14:12+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-15 02:52:45","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3852631","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3852631","identity":"rs-3852631","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}