\n\n\t| No. 12<\/td> | 0.2160<\/td> | 32<\/td> | 0.1957<\/td> | 0.1788<\/td> | 0.1822<\/td>\n<\/tr>\n |
\n\t| 1\/4<\/td> | 0.2500<\/td> | 32<\/td> | 0.2297<\/td> | 0.2128<\/td> | 0.2162<\/td>\n<\/tr>\n |
\n\t| 5\/16<\/td> | 0.3125<\/td> | 32<\/td> | 0.2922<\/td> | 0.2753<\/td> | 0.2787<\/td>\n<\/tr>\n |
\n\t| 3\/8<\/td> | 0.3750<\/td> | 32<\/td> | 0.3547<\/td> | 0.3378<\/td> | 0.3412<\/td>\n<\/tr>\n |
\n\t| 7\/16<\/td> | 0.4375<\/td> | 28<\/td> | 0.4143<\/td> | 0.3949<\/td> | 0.3988<\/td>\n<\/tr>\n |
\n\t| 1\/2<\/td> | 0.5000<\/td> | 28<\/td> | 0.4768<\/td> | 0.4574<\/td> | 0.4613<\/td>\n<\/tr>\n |
\n\t| 9\/16<\/td> | 0.5625<\/td> | 24<\/td> | 0.5354<\/td> | 0.5129<\/td> | 0.5174<\/td>\n<\/tr>\n |
\n\t| 5\/8<\/td> | 0.6250<\/td> | 24<\/td> | 0.5979<\/td> | 0.5754<\/td> | 0.5799<\/td>\n<\/tr>\n |
\n\t| 11\/16<\/td> | 0.6875<\/td> | 24<\/td> | 0.6604<\/td> | 0.6379<\/td> | 0.6424<\/td>\n<\/tr>\n |
\n\t| 3\/4<\/td> | 0.7500<\/td> | 20<\/td> | 0.7175<\/td> | 0.6905<\/td> | 0.6959<\/td>\n<\/tr>\n |
\n\t| 13\/16<\/td> | 0.8125<\/td> | 20<\/td> | 0.7800<\/td> | 0.7530<\/td> | 0.7584<\/td>\n<\/tr>\n |
\n\t| 7\/8<\/td> | 0.8750<\/td> | 20<\/td> | 0.8425<\/td> | 0.8155<\/td> | 0.8209<\/td>\n<\/tr>\n |
\n\t| 15\/16<\/td> | 0.9375<\/td> | 20<\/td> | 0.9050<\/td> | 0.8780<\/td> | 0.8834<\/td>\n<\/tr>\n |
\n\t| 1<\/td> | 1.0000<\/td> | 20<\/td> | 0.9675<\/td> | 0.9405<\/td> | 0.9459<\/td>\n<\/tr>\n |
\n\t| 1 1\/16<\/td> | 1.0625<\/td> | 18<\/td> | 1.0264<\/td> | 0.9964<\/td> | 1.0024<\/td>\n<\/tr>\n |
\n\t| 1 1\/8<\/td> | 1.1250<\/td> | 18<\/td> | 1.0889<\/td> | 1.0589<\/td> | 1.0649<\/td>\n<\/tr>\n |
\n\t| 1 3\/16<\/td> | 1.1875<\/td> | 18<\/td> | 1.1514<\/td> | 1.1214<\/td> | 1.1274<\/td>\n<\/tr>\n |
\n\t| 1 1\/4<\/td> | 1.2500<\/td> | 18<\/td> | 1.2139<\/td> | 1.1839<\/td> | 1.1899<\/td>\n<\/tr>\n |
\n\t| 1 5\/16<\/td> | 1.3125<\/td> | 18<\/td> | 1.2764<\/td> | 1.2464<\/td> | 1.2524<\/td>\n<\/tr>\n |
\n\t| 1 3\/8<\/td> | 1.3750<\/td> | 18<\/td> | 1.3389<\/td> | 1.3089<\/td> | 1.3149<\/td>\n<\/tr>\n |
\n\t| 1 7\/16<\/td> | 1.4375<\/td> | 18<\/td> | 1.4014<\/td> | 1.3714<\/td> | 1.3774<\/td>\n<\/tr>\n |
\n\t| 1 1\/2<\/td> | 1.5000<\/td> | 18<\/td> | 1.4639<\/td> | 1.4339<\/td> | 1.4399<\/td>\n<\/tr>\n |
\n\t| 1 9\/16<\/td> | 1.5625<\/td> | 18<\/td> | 1.5264<\/td> | 1.4964<\/td> | 1.5024<\/td>\n<\/tr>\n |
\n\t| 1 5\/8<\/td> | 1.6250<\/td> | 18<\/td> | 1.5889<\/td> | 1.5589<\/td> | 1.5649<\/td>\n<\/tr>\n |
\n\t| 1 11\/16<\/td> | 1.6875<\/td> | 18<\/td> | 1.6514<\/td> | 1.6214<\/td> | 1.6274<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div>Let Us Help You Find Efficiencies<\/p>\n<\/div><\/div><\/div> CONTACT US<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/p>","protected":false},"excerpt":{"rendered":"","protected":false},"author":38,"featured_media":11706,"parent":11686,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-11929","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/optimas.com\/en_gb\/wp-json\/wp\/v2\/pages\/11929","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/optimas.com\/en_gb\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/optimas.com\/en_gb\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/optimas.com\/en_gb\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/optimas.com\/en_gb\/wp-json\/wp\/v2\/comments?post=11929"}],"version-history":[{"count":0,"href":"https:\/\/optimas.com\/en_gb\/wp-json\/wp\/v2\/pages\/11929\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/optimas.com\/en_gb\/wp-json\/wp\/v2\/pages\/11686"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/optimas.com\/en_gb\/wp-json\/wp\/v2\/media\/11706"}],"wp:attachment":[{"href":"https:\/\/optimas.com\/en_gb\/wp-json\/wp\/v2\/media?parent=11929"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} |