{"id":31,"date":"2021-02-02T23:09:24","date_gmt":"2021-02-02T23:09:24","guid":{"rendered":"http:\/\/engprojects.tcnj.edu\/brainstrom\/?page_id=31"},"modified":"2021-02-02T23:09:24","modified_gmt":"2021-02-02T23:09:24","slug":"shocktop-system-design","status":"publish","type":"page","link":"https:\/\/engprojects.tcnj.edu\/brainstrom\/shocktop-system-design\/","title":{"rendered":"ShockTop System\/Design"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><img loading=\"lazy\" decoding=\"async\" width=\"624\" height=\"224\" src=\"https:\/\/lh6.googleusercontent.com\/LcectM4AtgKiQZwScw7DFmfT9heeZOQ8v8hXJ001wcEzoz7nh5iCWKZBeU2SuqKLcdE0VjHKvBQjIsrdCFbwaTYlgCta6b_oO_Wyk05VXdZZwx4eYPtVfdbFndND1cNpYIfQgWDw\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Our team plans to take the voltage data output based on foam deformation and use a mathematical conversion in\u00a0 order to relay the data in G force to the user. We then plan to implement an algorithm highlighting our threshold numbers. An example of our intended threshold numbers is as follows: 45G-75G = little to no risk of head injury; 75G-90G = low but possible risk of head injury; 90G-110G = high possible risk of head injury; 110G+ = immediate attention is recommended. An example block diagram of our intended system is shown above.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>FINAL INTENDED DESIGN<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh3.googleusercontent.com\/A0udCKQCEdpQiAqd7r6xQDo-f6inNHJYG28eJVyrHtg0AiDQBS6xxr-2iTRaxKeJ_mKs6cP-uDfvG2gWI9O_BD-QfRNe7zAOxhihn2_zaG6YDEwuVzAv79X7k5spRVMyUGkw3sdu\" width=\"358\" height=\"266\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This design was chosen as the design solution.\u00a0 The picture indicates the use of the Xonano smart foam that was donated by XOnano.\u00a0 This foam does not contain actual sensors, rather the foam itself is the sensor that generates a charge when it&#8217;s deformed.\u00a0 As opposed to design 1, this design does not require any additional rigid sensors. The Xonano foam will completely replace the original foam inside the Schutt helmet.\u00a0 This will allow for optimal protection as well as multiple readings within the helmet,<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our team plans to take the voltage data output based on foam deformation and use a mathematical conversion in\u00a0 order to relay the data in G force to the user. We then plan to implement an algorithm highlighting our threshold numbers. An example of our intended threshold numbers is as follows: 45G-75G = little to &hellip; <a href=\"https:\/\/engprojects.tcnj.edu\/brainstrom\/shocktop-system-design\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">ShockTop System\/Design<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":297,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-31","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/engprojects.tcnj.edu\/brainstrom\/wp-json\/wp\/v2\/pages\/31","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engprojects.tcnj.edu\/brainstrom\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/engprojects.tcnj.edu\/brainstrom\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/engprojects.tcnj.edu\/brainstrom\/wp-json\/wp\/v2\/users\/297"}],"replies":[{"embeddable":true,"href":"https:\/\/engprojects.tcnj.edu\/brainstrom\/wp-json\/wp\/v2\/comments?post=31"}],"version-history":[{"count":0,"href":"https:\/\/engprojects.tcnj.edu\/brainstrom\/wp-json\/wp\/v2\/pages\/31\/revisions"}],"wp:attachment":[{"href":"https:\/\/engprojects.tcnj.edu\/brainstrom\/wp-json\/wp\/v2\/media?parent=31"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}