{"id":44,"date":"2011-12-16T01:06:03","date_gmt":"2011-12-16T01:06:03","guid":{"rendered":"http:\/\/www.kriesi.at\/themes\/propulsion\/?post_type=portfolio&p=44"},"modified":"2021-10-13T19:23:39","modified_gmt":"2021-10-13T17:23:39","slug":"amesim-valve","status":"publish","type":"case-study","link":"https:\/\/www.cyberdyne.it\/en\/case-study\/amesim-valve\/","title":{"rendered":"AMEsim – Check Valve"},"content":{"rendered":"

[vc_section css=”.vc_custom_1562154580550{padding-top: 40px !important;}”][vc_row][vc_column width=”1\/2″][vc_gallery interval=”3″ images=”3551,3559,3453″ img_size=”500×300″][\/vc_column][vc_column width=”1\/2″][vc_custom_heading source=”post_title” font_container=”tag:h1|text_align:left” use_theme_fonts=”yes”][vc_column_text]This demo illustrates the connection between KIMEME and AMEsim to optimize the dimensions and characteristics of a check valve model in order to match a given pressure\/flow characteristic.[\/vc_column_text][vc_tta_accordion shape=”square” color=”white” active_section=”1″][vc_tta_section title=”DESIGN VARIABLES” tab_id=”1553179762281-9cff1c87-79d60e7b-660e3a81-3142″][vc_column_text]<\/p>\n

Stroke: [1..10] mm<\/p>\n

Spring Preload: [0..100] N<\/p>\n

Stiffness: [0..100] N\/mm<\/p>\n

Seat diameter: [1..25] mm<\/p>\n

Ball diameter: [1..30] mm<\/p>\n

[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”CONSTRAINTS” tab_id=”1553179762300-fff844f2-c11d0e7b-660e3a81-3142″][vc_column_text]Ball diameter must be greater than the seat diameter[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”OBJECTIVES” tab_id=”1553180485145-d04b5cb9-574e0e7b-660e3a81-3142″][vc_column_text]Minimize error (ISE) betweed actual flow rate valve and desired target (respectively green and black)[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”OPTIMIZATION ALGORITHM” tab_id=”1553180487891-c76fbf68-56fb0e7b-660e3a81-3142″][vc_column_text]Nelder-Mead method[\/vc_column_text][\/vc_tta_section][vc_tta_section title=”RUNS” tab_id=”1562154552316-67fbb75c-73a4″][vc_column_text]1500 evaluations, with parallel execution on 4 workstations using KIMEME Network. Execution time: 60 minutes.[\/vc_column_text][\/vc_tta_section][\/vc_tta_accordion][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=”70px”][\/vc_column][\/vc_row][\/vc_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

wind\/earth<\/p>\n","protected":false},"featured_media":3551,"template":"","format":"standard","meta":[],"categories":[51,48],"acf":[],"_links":{"self":[{"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/case-study\/44\/"}],"collection":[{"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/case-study\/"}],"about":[{"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/types\/case-study\/"}],"version-history":[{"count":0,"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/case-study\/44\/revisions\/"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/media\/3551\/"}],"wp:attachment":[{"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/media\/?parent=44"}],"wp:term":[{"taxonomy":"categories","embeddable":true,"href":"https:\/\/www.cyberdyne.it\/en\/wp-json\/wp\/v2\/categories\/?post=44"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}