{"id":416,"date":"2022-01-22T20:57:00","date_gmt":"2022-01-22T18:57:00","guid":{"rendered":"http:\/\/xylem.aegean.gr\/~sofia\/blog\/?page_id=416"},"modified":"2022-01-24T12:41:49","modified_gmt":"2022-01-24T10:41:49","slug":"parametric-modeling-and-design-intent","status":"publish","type":"page","link":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/research\/parametric-modeling-and-design-intent\/","title":{"rendered":"Parametric Modeling and Design Intent"},"content":{"rendered":"\n<p>Features, parameters, constraints, and relations are considered as a carrier of design intent and capture the object\u2019s shape and functional requirements. A modeling strategy that considers design intent, results in a flexible and robust model that allows changes to its structure without rendering to inconsistencies. The effective communication of design intent depends on the ability of a designer to express, through the constraints and parametric associations, the expected behavior of the model.&nbsp;<\/p>\n<p>Having a focus on design intent capturing and communication, we propose Integrated Design Intent Architecture (IDI Architecture) that aims to communicate the design intent and at the same time to support the design-with-design-intent modeling process.&nbsp;&nbsp;The IDI Architecture provides a direct and structured correspondence between different constraining schemas and their inferring design intent so to establish an organized and targeted modeling strategy that facilitates design intent communication.&nbsp;It is built upon the concepts of \u201cintention regularities\u201d and \u201cmeta-constraints\u201d that are respectively used to describe common design intentions and the constraining scheme that reflects them. Meta-constraints establish a design intention during the geometric definition of a model and the corresponding intention regularities communicate the design intent at semantic level.<\/p>\n<p><strong><em>Related to this research publications<\/em><\/strong><\/p>\n<p><strong>Journal Papers:<\/strong><\/p>\n<ol>\n<li>S. Kyratzi &amp; P. Azariadis, <strong>Integrated Design Intent of 3D Parametric Models, <\/strong><em>Computer-Aided Design<\/em>, <em>accepted &#8211; January 2022<\/em>.<\/li>\n<li>&nbsp;S. Kyratzi &amp; P. Azariadis, <strong>A constraint-based framework to recognize design intent during sketching in parametric environments<\/strong>, <em>Computer-Aided Design and Applications, 18(3), pp. 545-560, 2021<\/em>.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Features, parameters, constraints, and relations are considered as a carrier of design intent and capture the object\u2019s shape and functional requirements. A modeling strategy that considers design intent, results in a flexible and robust model that allows changes to its<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":4,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-416","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/xylem.aegean.gr\/~sofia\/blog\/research\/parametric-modeling-and-design-intent\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.8\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"Sofia Kyratzi |\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"Parametric Modeling and Design Intent | 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