Este guia fornece uma vis\u00e3o geral abrangente das toler\u00e2ncias para o di\u00e2metro primitivo (D).2<\/sub>) de roscas internas m\u00e9tricas, alinhadas com as normas ISO 965-1 para roscas m\u00e9tricas de uso geral. Essas toler\u00e2ncias garantem intercambiabilidade, ajuste e desempenho em montagens mec\u00e2nicas. O di\u00e2metro primitivo \u00e9 cr\u00edtico, pois determina a \u00e1rea de contato efetiva entre as roscas correspondentes, influenciando a resist\u00eancia e as propriedades de veda\u00e7\u00e3o. Este recurso complementa discuss\u00f5es mais amplas sobre di\u00e2metros maior, primitivo e menor, com foco espec\u00edfico em roscas internas D2<\/sub> Valores em diversas classes de toler\u00e2ncia e tamanhos, de M1 a M300.<\/p>\n A conformidade com as normas ISO garante confiabilidade em setores como o automotivo, aeroespacial e de fabrica\u00e7\u00e3o de m\u00e1quinas. As toler\u00e2ncias s\u00e3o especificadas para classes como 4H a 8H, com limites m\u00e1ximos e m\u00ednimos em mil\u00edmetros, permitindo usinagem precisa e controle de qualidade.<\/p>\n O di\u00e2metro primitivo D2<\/sub> Representa o cilindro imagin\u00e1rio onde a largura da rosca \u00e9 igual \u00e0 largura do espa\u00e7o, crucial para o engate da rosca. Para roscas internas, as toler\u00e2ncias s\u00e3o definidas por limites de desvio superior e inferior com base na classe de toler\u00e2ncia (por exemplo, 6H para ajuste m\u00e9dio).<\/p>\n Compreender esses aspectos garante o desempenho ideal da rosca, evitando problemas como desgaste ou folgas excessivas nas montagens.<\/p>\n A tabela abaixo lista os valores m\u00e1ximos e m\u00ednimos de D.2<\/sub> Dimens\u00f5es em mm para roscas internas m\u00e9tricas conforme ISO 965-1. Abrange tamanhos e passos comuns, com as classes de toler\u00e2ncia destacadas (ex.: 6H em verde para uso padr\u00e3o). Utilize para projeto e inspe\u00e7\u00e3o; consulte a documenta\u00e7\u00e3o completa da ISO para passos adicionais.<\/p>\n Nota: Os valores s\u00e3o para refer\u00eancia; verifique com a norma ISO 965 para aplica\u00e7\u00f5es espec\u00edficas. O valor 6H destacado \u00e9 comum para uso geral.<\/p>\n Toler\u00e2ncias para D2<\/sub> s\u00e3o calculados usando as f\u00f3rmulas da norma ISO 965: Limite inferior = D nominal2<\/sub> + EI, limite superior = D nominal2<\/sub> + EI + T, onde EI \u00e9 o desvio m\u00ednimo (0 para classes H), e T \u00e9 a magnitude do grau de toler\u00e2ncia.<\/p>\n Esses m\u00e9todos garantem precis\u00e3o, com ferramentas de software auxiliando em c\u00e1lculos complexos.<\/p>\n Aplique toler\u00e2ncias com base nos requisitos de montagem: use 6H para ajustes padr\u00e3o e toler\u00e2ncias mais rigorosas para aplica\u00e7\u00f5es de alta carga. Inspecione com calibradores, considerando a expans\u00e3o do material.<\/p>\n D nominal2<\/sub> = 10 \u2013 0,6495*1,5 \u2248 9,026 mm; aplicar classe de toler\u00e2ncia para limites.<\/p>\n Graus de dureza mais baixos (por exemplo, 4H) permitem encaixes mais folgados para facilitar a montagem; graus mais altos (8H) exigem precis\u00e3o, conforme a norma ISO 965.<\/p>\n Proporciona uma toler\u00e2ncia m\u00e9dia equilibrada para aplica\u00e7\u00f5es gerais de engenharia, garantindo uma intercambialidade confi\u00e1vel.<\/p>\n Sim, adicione a margem de revestimento aos limites conforme a norma ISO 4042, normalmente de 4 a 8 \u03bcm por lado.<\/p>\n Utilize as f\u00f3rmulas da norma ISO 965 para os c\u00e1lculos ou consulte normas complementares para passos n\u00e3o padronizados.<\/p>\n Utilize o m\u00e9todo de tr\u00eas fios com micr\u00f4metro, usando di\u00e2metros de fio baseados no passo para leituras precisas.<\/p>\n <\/p>","protected":false},"excerpt":{"rendered":" Introdu\u00e7\u00e3o \u00e0s Toler\u00e2ncias de Roscas M\u00e9tricas Este guia fornece uma vis\u00e3o geral abrangente das toler\u00e2ncias para o di\u00e2metro primitivo (D2) de roscas internas m\u00e9tricas, em conformidade com as normas ISO 965-1 para roscas m\u00e9tricas de uso geral. Essas toler\u00e2ncias garantem a intercambialidade, o ajuste e o desempenho em montagens mec\u00e2nicas. O di\u00e2metro primitivo \u00e9 crucial, pois determina a \u00e1rea de contato efetiva entre [\u2026]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[220],"tags":[],"class_list":["post-5789","post","type-post","status-publish","format-standard","hentry","category-technical-documentation-and-references"],"_links":{"self":[{"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/posts\/5789","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/comments?post=5789"}],"version-history":[{"count":2,"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/posts\/5789\/revisions"}],"predecessor-version":[{"id":5791,"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/posts\/5789\/revisions\/5791"}],"wp:attachment":[{"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/media?parent=5789"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/categories?post=5789"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/korea-transmission.com\/pt\/wp-json\/wp\/v2\/tags?post=5789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Conceitos-chave: Di\u00e2metro primitivo D2<\/sub> para roscas internas<\/h2>\n
\n
Tabela de toler\u00e2ncias para di\u00e2metro primitivo de rosca interna D2<\/sub><\/h2>\n
\n\n
\n Classe de toler\u00e2ncia<\/th>\n Limite<\/th>\n M1<\/th>\n M1.1<\/th>\n M1.2<\/th>\n M1.4<\/th>\n M1.6<\/th>\n M1.8<\/th>\n M2<\/th>\n M2.2<\/th>\n M2.5<\/th>\n M3<\/th>\n M3.5<\/th>\n M4<\/th>\n M4.5<\/th>\n M5<\/th>\n M5.5<\/th>\n M6<\/th>\n M7<\/th>\n M8<\/th>\n M9<\/th>\n M10<\/th>\n M11<\/th>\n M12<\/th>\n M14<\/th>\n M15<\/th>\n M16<\/th>\n M17<\/th>\n M18<\/th>\n M20<\/th>\n M22<\/th>\n M24<\/th>\n M25<\/th>\n M26<\/th>\n M27<\/th>\n M28<\/th>\n M30<\/th>\n M32<\/th>\n M33<\/th>\n M35<\/th>\n M36<\/th>\n M38<\/th>\n M39<\/th>\n M40<\/th>\n M42<\/th>\n M45<\/th>\n M48<\/th>\n M50<\/th>\n M52<\/th>\n M55<\/th>\n M56<\/th>\n M58<\/th>\n M60<\/th>\n M62<\/th>\n M64<\/th>\n M65<\/th>\n M68<\/th>\n M70<\/th>\n M72<\/th>\n M75<\/th>\n M76<\/th>\n M78<\/th>\n M80<\/th>\n M82<\/th>\n M85<\/th>\n M90<\/th>\n M95<\/th>\n M100<\/th>\n M105<\/th>\n M110<\/th>\n M115<\/th>\n M120<\/th>\n M125<\/th>\n M130<\/th>\n M135<\/th>\n M140<\/th>\n M145<\/th>\n M150<\/th>\n M155<\/th>\n M160<\/th>\n M165<\/th>\n M170<\/th>\n M175<\/th>\n M180<\/th>\n M185<\/th>\n M190<\/th>\n M195<\/th>\n M200<\/th>\n M205<\/th>\n M210<\/th>\n M215<\/th>\n M220<\/th>\n M225<\/th>\n M230<\/th>\n M235<\/th>\n M240<\/th>\n M245<\/th>\n M250<\/th>\n M255<\/th>\n M260<\/th>\n M265<\/th>\n M270<\/th>\n M275<\/th>\n M280<\/th>\n M285<\/th>\n M290<\/th>\n M295<\/th>\n M300<\/th>\n<\/tr>\n \n \n0.25<\/th>\n 0.2<\/th>\n 0.25<\/th>\n 0.2<\/th>\n 0.25<\/th>\n 0.2<\/th>\n 0.3<\/th>\n 0.2<\/th>\n 0.35<\/th>\n 0.2<\/th>\n 0.35<\/th>\n 0.2<\/th>\n 0.4<\/th>\n 0.25<\/th>\n 0.45<\/th>\n 0.25<\/th>\n 0.45<\/th>\n 0.35<\/th>\n 0.5<\/th>\n 0.35<\/th>\n 0.6<\/th>\n 0.35<\/th>\n 0.7<\/th>\n 0.5<\/th>\n 0.75<\/th>\n 0.5<\/th>\n 0.8<\/th>\n 0.5<\/th>\n 0.5<\/th>\n 1<\/th>\n 0.75<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.25<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.25<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.5<\/th>\n 1.25<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.5<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.75<\/th>\n 1.5<\/th>\n 1.25<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 1.25<\/th>\n 1<\/th>\n 1.5<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 1.5<\/th>\n 1<\/th>\n 2.5<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2.5<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2.5<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 1.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 3.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 3.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 5.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 5.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n<\/tr>\n<\/thead>\n \n 4G<\/td>\n M\u00e1ximo<\/td>\n 0.901<\/td>\n 0.927<\/td>\n 1.001<\/td>\n 1.027<\/td>\n 1.101<\/td>\n 1.127<\/td>\n 1.271<\/td>\n 1.327<\/td>\n 1.445<\/td>\n 1.529<\/td>\n 1.645<\/td>\n 1.729<\/td>\n 1.815<\/td>\n 1.904<\/td>\n 1.988<\/td>\n 2.104<\/td>\n 2.288<\/td>\n 2.345<\/td>\n 2.758<\/td>\n 2.848<\/td>\n 3.202<\/td>\n 3.348<\/td>\n 3.642<\/td>\n 3.758<\/td>\n 4.11<\/td>\n 4.258<\/td>\n 4.584<\/td>\n 4.758<\/td>\n 5.258<\/td>\n 5.472<\/td>\n 5.62<\/td>\n 6.472<\/td>\n 6.62<\/td>\n 7.316<\/td>\n 7.472<\/td>\n 7.62<\/td>\n 8.316<\/td>\n 8.472<\/td>\n 8.62<\/td>\n 9.17<\/td>\n 9.316<\/td>\n 9.472<\/td>\n 9.62<\/td>\n 10.17<\/td>\n 10.472<\/td>\n 10.62<\/td>\n 11.022<\/td>\n 11.176<\/td>\n 11.328<\/td>\n 11.477<\/td>\n 12.871<\/td>\n 13.176<\/td>\n 13.328<\/td>\n 13.477<\/td>\n 14.176<\/td>\n 14.477<\/td>\n 14.871<\/td>\n 15.176<\/td>\n 15.477<\/td>\n 16.176<\/td>\n 16.477<\/td>\n 16.558<\/td>\n 16.871<\/td>\n 17.176<\/td>\n 17.477<\/td>\n 18.558<\/td>\n 18.871<\/td>\n 19.176<\/td>\n 19.477<\/td>\n 20.558<\/td>\n 20.871<\/td>\n 21.176<\/td>\n 21.477<\/td>\n 22.27<\/td>\n 22.879<\/td>\n 23.183<\/td>\n 23.483<\/td>\n 23.879<\/td>\n 24.183<\/td>\n 24.483<\/td>\n 25.183<\/td>\n 25.27<\/td>\n 25.879<\/td>\n 26.183<\/td>\n 26.483<\/td>\n 26.879<\/td>\n 27.183<\/td>\n 27.483<\/td>\n 27.96<\/td>\n 28.27<\/td>\n 28.879<\/td>\n 29.183<\/td>\n 29.483<\/td>\n 30.879<\/td>\n 31.183<\/td>\n 30.96<\/td>\n 31.27<\/td>\n 31.879<\/td>\n 32.183<\/td>\n 34.183<\/td>\n 33.652<\/td>\n 34.27<\/td>\n 34.879<\/td>\n 35.183<\/td>\n 37.183<\/td>\n 36.652<\/td>\n 37.27<\/td>\n 37.879<\/td>\n 38.183<\/td>\n 38.27<\/td>\n 38.879<\/td>\n 39.183<\/td>\n 39.34<\/td>\n 39.652<\/td>\n 40.27<\/td>\n 40.879<\/td>\n 41.183<\/td>\n 42.34<\/td>\n 42.652<\/td>\n 43.27<\/td>\n 43.879<\/td>\n 44.183<\/td>\n 45.036<\/td>\n 45.662<\/td>\n 46.28<\/td>\n 46.889<\/td>\n 47.19<\/td>\n 48.28<\/td>\n 48.889<\/td>\n 49.19<\/td>\n 49.036<\/td>\n 49.662<\/td>\n 50.28<\/td>\n 50.889<\/td>\n 51.19<\/td>\n 52.662<\/td>\n 53.28<\/td>\n 53.889<\/td>\n 54.19<\/td>\n 52.727<\/td>\n 53.662<\/td>\n 54.28<\/td>\n 54.889<\/td>\n 55.19<\/td>\n 55.662<\/td>\n 56.28<\/td>\n 56.889<\/td>\n 57.19<\/td>\n 56.727<\/td>\n 57.662<\/td>\n 58.28<\/td>\n 58.889<\/td>\n 59.19<\/td>\n 59.662<\/td>\n 60.28<\/td>\n 60.889<\/td>\n 61.19<\/td>\n 60.419<\/td>\n 61.662<\/td>\n 62.28<\/td>\n 62.889<\/td>\n 63.19<\/td>\n 62.662<\/td>\n 63.28<\/td>\n 63.889<\/td>\n 64.19<\/td>\n 64.419<\/td>\n 65.662<\/td>\n 66.28<\/td>\n 66.889<\/td>\n 67.19<\/td>\n 66.419<\/td>\n 67.662<\/td>\n 68.28<\/td>\n 68.889<\/td>\n 69.19<\/td>\n 68.419<\/td>\n 69.662<\/td>\n 70.28<\/td>\n 70.889<\/td>\n 71.19<\/td>\n 72.662<\/td>\n 73.28<\/td>\n 73.889<\/td>\n 74.19<\/td>\n 72.419<\/td>\n 73.662<\/td>\n 74.28<\/td>\n 74.889<\/td>\n 75.19<\/td>\n 76.889<\/td>\n 76.419<\/td>\n 77.662<\/td>\n 78.28<\/td>\n 78.889<\/td>\n 79.19<\/td>\n 80.889<\/td>\n 81.419<\/td>\n 82.662<\/td>\n 83.28<\/td>\n 83.889<\/td>\n 86.419<\/td>\n 87.662<\/td>\n 88.28<\/td>\n 88.889<\/td>\n 91.433<\/td>\n 92.674<\/td>\n 93.29<\/td>\n 93.899<\/td>\n 96.433<\/td>\n 97.674<\/td>\n 98.29<\/td>\n 98.899<\/td>\n 101.433<\/td>\n 102.674<\/td>\n 103.29<\/td>\n 103.899<\/td>\n 106.433<\/td>\n 107.674<\/td>\n 108.29<\/td>\n 108.899<\/td>\n 111.433<\/td>\n 112.674<\/td>\n 113.29<\/td>\n 113.899<\/td>\n 116.433<\/td>\n 117.674<\/td>\n 118.29<\/td>\n 118.899<\/td>\n 121.433<\/td>\n 122.674<\/td>\n 123.29<\/td>\n 123.899<\/td>\n 126.433<\/td>\n 127.674<\/td>\n 128.29<\/td>\n 128.899<\/td>\n 131.433<\/td>\n 132.674<\/td>\n 133.29<\/td>\n 133.899<\/td>\n 136.433<\/td>\n 137.674<\/td>\n 138.29<\/td>\n 138.899<\/td>\n 141.433<\/td>\n 142.674<\/td>\n 143.29<\/td>\n 143.899<\/td>\n 145.184<\/td>\n 146.433<\/td>\n 147.674<\/td>\n 148.29<\/td>\n 148.899<\/td>\n 151.433<\/td>\n 152.674<\/td>\n 153.29<\/td>\n 155.184<\/td>\n 156.433<\/td>\n 157.674<\/td>\n 158.29<\/td>\n 161.433<\/td>\n 162.674<\/td>\n 163.29<\/td>\n 165.184<\/td>\n 166.433<\/td>\n 167.674<\/td>\n 168.29<\/td>\n 171.433<\/td>\n 172.674<\/td>\n 173.29<\/td>\n 175.184<\/td>\n 176.433<\/td>\n 177.674<\/td>\n 178.29<\/td>\n 181.448<\/td>\n 182.698<\/td>\n 183.312<\/td>\n 185.204<\/td>\n 186.448<\/td>\n 187.698<\/td>\n 188.312<\/td>\n 191.448<\/td>\n 192.698<\/td>\n 193.312<\/td>\n 195.204<\/td>\n 196.448<\/td>\n 197.698<\/td>\n 198.312<\/td>\n 201.448<\/td>\n 202.698<\/td>\n 203.312<\/td>\n 205.204<\/td>\n 206.448<\/td>\n 207.698<\/td>\n 208.312<\/td>\n 211.448<\/td>\n 212.698<\/td>\n 213.312<\/td>\n 215.204<\/td>\n 216.448<\/td>\n 217.698<\/td>\n 218.312<\/td>\n 221.448<\/td>\n 222.698<\/td>\n 223.312<\/td>\n 225.204<\/td>\n 226.448<\/td>\n 227.698<\/td>\n 228.312<\/td>\n 231.448<\/td>\n 232.698<\/td>\n 233.312<\/td>\n 235.204<\/td>\n 236.448<\/td>\n 237.698<\/td>\n 238.312<\/td>\n 241.448<\/td>\n 242.698<\/td>\n 243.312<\/td>\n 245.204<\/td>\n 246.448<\/td>\n 247.698<\/td>\n 248.312<\/td>\n 251.448<\/td>\n 252.698<\/td>\n 255.204<\/td>\n 256.448<\/td>\n 257.698<\/td>\n 261.448<\/td>\n 262.698<\/td>\n 265.204<\/td>\n 266.448<\/td>\n 267.698<\/td>\n 271.448<\/td>\n 272.698<\/td>\n 275.204<\/td>\n 276.448<\/td>\n 277.698<\/td>\n 281.448<\/td>\n 282.698<\/td>\n 285.204<\/td>\n 286.448<\/td>\n 287.698<\/td>\n 291.448<\/td>\n 292.698<\/td>\n 295.204<\/td>\n 296.448<\/td>\n 297.698<\/td>\n<\/tr>\n \n Min<\/td>\n 0.856<\/td>\n 0.887<\/td>\n 0.956<\/td>\n 0.987<\/td>\n 1.056<\/td>\n 1.087<\/td>\n 1.223<\/td>\n 1.287<\/td>\n 1.392<\/td>\n 1.487<\/td>\n 1.592<\/td>\n 1.687<\/td>\n 1.759<\/td>\n 1.856<\/td>\n 1.928<\/td>\n 2.056<\/td>\n 2.228<\/td>\n 2.292<\/td>\n 2.695<\/td>\n 2.792<\/td>\n 3.131<\/td>\n 3.292<\/td>\n 3.567<\/td>\n 3.695<\/td>\n 4.035<\/td>\n 4.195<\/td>\n 4.504<\/td>\n 4.695<\/td>\n 5.195<\/td>\n 5.377<\/td>\n 5.535<\/td>\n 6.377<\/td>\n 6.535<\/td>\n 7.216<\/td>\n 7.377<\/td>\n 7.535<\/td>\n 8.216<\/td>\n 8.377<\/td>\n 8.535<\/td>\n 9.058<\/td>\n 9.216<\/td>\n 9.377<\/td>\n 9.535<\/td>\n 10.058<\/td>\n 10.377<\/td>\n 10.535<\/td>\n 10.897<\/td>\n 11.058<\/td>\n 11.216<\/td>\n 11.377<\/td>\n 12.739<\/td>\n 13.058<\/td>\n 13.216<\/td>\n 13.377<\/td>\n 14.058<\/td>\n 14.377<\/td>\n 14.739<\/td>\n 15.058<\/td>\n 15.377<\/td>\n 16.058<\/td>\n 16.377<\/td>\n 16.418<\/td>\n 16.739<\/td>\n 17.058<\/td>\n 17.377<\/td>\n 18.418<\/td>\n 18.739<\/td>\n 19.058<\/td>\n 19.377<\/td>\n 20.418<\/td>\n 20.739<\/td>\n 21.058<\/td>\n 21.377<\/td>\n 22.1<\/td>\n 22.739<\/td>\n 23.058<\/td>\n 23.377<\/td>\n 23.739<\/td>\n 24.058<\/td>\n 24.377<\/td>\n 25.058<\/td>\n 25.1<\/td>\n 25.739<\/td>\n 26.058<\/td>\n 26.377<\/td>\n 26.739<\/td>\n 27.058<\/td>\n 27.377<\/td>\n 27.78<\/td>\n 28.1<\/td>\n 28.739<\/td>\n 29.058<\/td>\n 29.377<\/td>\n 30.739<\/td>\n 31.058<\/td>\n 30.78<\/td>\n 31.1<\/td>\n 31.739<\/td>\n 32.058<\/td>\n 34.058<\/td>\n 33.462<\/td>\n 34.1<\/td>\n 34.739<\/td>\n 35.058<\/td>\n 37.058<\/td>\n 36.462<\/td>\n 37.1<\/td>\n 37.739<\/td>\n 38.058<\/td>\n 38.1<\/td>\n 38.739<\/td>\n 39.058<\/td>\n 39.14<\/td>\n 39.462<\/td>\n 40.1<\/td>\n 40.739<\/td>\n 41.058<\/td>\n 42.14<\/td>\n 42.462<\/td>\n 43.1<\/td>\n 43.739<\/td>\n 44.058<\/td>\n 44.823<\/td>\n 45.462<\/td>\n 46.1<\/td>\n 46.739<\/td>\n 47.058<\/td>\n 48.1<\/td>\n 48.739<\/td>\n 49.058<\/td>\n 48.823<\/td>\n 49.462<\/td>\n 50.1<\/td>\n 50.739<\/td>\n 51.058<\/td>\n 52.462<\/td>\n 53.1<\/td>\n 53.739<\/td>\n 54.058<\/td>\n 52.503<\/td>\n 53.462<\/td>\n 54.1<\/td>\n 54.739<\/td>\n 55.058<\/td>\n 55.462<\/td>\n 56.1<\/td>\n 56.739<\/td>\n 57.058<\/td>\n 56.503<\/td>\n 57.462<\/td>\n 58.1<\/td>\n 58.739<\/td>\n 59.058<\/td>\n 59.462<\/td>\n 60.1<\/td>\n 60.739<\/td>\n 61.058<\/td>\n 60.183<\/td>\n 61.462<\/td>\n 62.1<\/td>\n 62.739<\/td>\n 63.058<\/td>\n 62.462<\/td>\n 63.1<\/td>\n 63.739<\/td>\n 64.058<\/td>\n 64.183<\/td>\n 65.462<\/td>\n 66.1<\/td>\n 66.739<\/td>\n 67.058<\/td>\n 66.183<\/td>\n 67.462<\/td>\n 68.1<\/td>\n 68.739<\/td>\n 69.058<\/td>\n 68.183<\/td>\n 69.462<\/td>\n 70.1<\/td>\n 70.739<\/td>\n 71.058<\/td>\n 72.462<\/td>\n 73.1<\/td>\n 73.739<\/td>\n 74.058<\/td>\n 72.183<\/td>\n 73.462<\/td>\n 74.1<\/td>\n 74.739<\/td>\n 75.058<\/td>\n 76.739<\/td>\n 76.183<\/td>\n 77.462<\/td>\n 78.1<\/td>\n 78.739<\/td>\n 79.058<\/td>\n 80.739<\/td>\n 81.183<\/td>\n 82.462<\/td>\n 83.1<\/td>\n 83.739<\/td>\n 86.183<\/td>\n 87.462<\/td>\n 88.1<\/td>\n 88.739<\/td>\n 91.183<\/td>\n 92.462<\/td>\n 93.1<\/td>\n 93.739<\/td>\n 96.183<\/td>\n 97.462<\/td>\n 98.1<\/td>\n 98.739<\/td>\n 101.183<\/td>\n 102.462<\/td>\n 103.1<\/td>\n 103.739<\/td>\n 106.183<\/td>\n 107.462<\/td>\n 108.1<\/td>\n 108.739<\/td>\n 111.183<\/td>\n 112.462<\/td>\n 113.1<\/td>\n 113.739<\/td>\n 116.183<\/td>\n 117.462<\/td>\n 118.1<\/td>\n 118.739<\/td>\n 121.183<\/td>\n 122.462<\/td>\n 123.1<\/td>\n 123.739<\/td>\n 126.183<\/td>\n 127.462<\/td>\n 128.1<\/td>\n 128.739<\/td>\n 131.183<\/td>\n 132.462<\/td>\n 133.1<\/td>\n 133.739<\/td>\n 136.183<\/td>\n 137.462<\/td>\n 138.1<\/td>\n 138.739<\/td>\n 141.183<\/td>\n 142.462<\/td>\n 143.1<\/td>\n 143.739<\/td>\n 144.904<\/td>\n 146.183<\/td>\n 147.462<\/td>\n 148.1<\/td>\n 148.739<\/td>\n 151.183<\/td>\n 152.462<\/td>\n 153.1<\/td>\n 154.904<\/td>\n 156.183<\/td>\n 157.462<\/td>\n 158.1<\/td>\n 161.183<\/td>\n 162.462<\/td>\n 163.1<\/td>\n 164.904<\/td>\n 166.183<\/td>\n 167.462<\/td>\n 168.1<\/td>\n 171.183<\/td>\n 172.462<\/td>\n 173.1<\/td>\n 174.904<\/td>\n 176.183<\/td>\n 177.462<\/td>\n 178.1<\/td>\n 181.183<\/td>\n 182.462<\/td>\n 183.1<\/td>\n 184.904<\/td>\n 186.183<\/td>\n 187.462<\/td>\n 188.1<\/td>\n 191.183<\/td>\n 192.462<\/td>\n 193.1<\/td>\n 194.904<\/td>\n 196.183<\/td>\n 197.462<\/td>\n 198.1<\/td>\n 201.183<\/td>\n 202.462<\/td>\n 203.1<\/td>\n 204.904<\/td>\n 206.183<\/td>\n 207.462<\/td>\n 208.1<\/td>\n 211.183<\/td>\n 212.462<\/td>\n 213.1<\/td>\n 214.904<\/td>\n 216.183<\/td>\n 217.462<\/td>\n 218.1<\/td>\n 221.183<\/td>\n 222.462<\/td>\n 223.1<\/td>\n 224.904<\/td>\n 226.183<\/td>\n 227.462<\/td>\n 228.1<\/td>\n 231.183<\/td>\n 232.462<\/td>\n 233.1<\/td>\n 234.904<\/td>\n 236.183<\/td>\n 237.462<\/td>\n 238.1<\/td>\n 241.183<\/td>\n 242.462<\/td>\n 243.1<\/td>\n 244.904<\/td>\n 246.183<\/td>\n 247.462<\/td>\n 248.1<\/td>\n 251.183<\/td>\n 252.462<\/td>\n 254.904<\/td>\n 256.183<\/td>\n 257.462<\/td>\n 261.183<\/td>\n 262.462<\/td>\n 264.904<\/td>\n 266.183<\/td>\n 267.462<\/td>\n 271.183<\/td>\n 272.462<\/td>\n 274.904<\/td>\n 276.183<\/td>\n 277.462<\/td>\n 281.183<\/td>\n 282.462<\/td>\n 284.904<\/td>\n 286.183<\/td>\n 287.462<\/td>\n 291.183<\/td>\n 292.462<\/td>\n 294.904<\/td>\n 296.183<\/td>\n 297.462<\/td>\n<\/tr>\n \n 4H<\/td>\n M\u00e1ximo<\/td>\n 0.883<\/td>\n 0.91<\/td>\n 0.983<\/td>\n 1.01<\/td>\n 1.083<\/td>\n 1.11<\/td>\n 1.253<\/td>\n 1.31<\/td>\n 1.426<\/td>\n 1.512<\/td>\n 1.626<\/td>\n 1.712<\/td>\n 1.796<\/td>\n 1.886<\/td>\n 1.968<\/td>\n 2.086<\/td>\n 2.268<\/td>\n 2.326<\/td>\n 2.738<\/td>\n 2.829<\/td>\n 3.181<\/td>\n 3.329<\/td>\n 3.62<\/td>\n 3.738<\/td>\n 4.088<\/td>\n 4.238<\/td>\n 4.56<\/td>\n 4.738<\/td>\n 5.238<\/td>\n 5.446<\/td>\n 5.598<\/td>\n 6.446<\/td>\n 6.598<\/td>\n 7.288<\/td>\n 7.446<\/td>\n 7.598<\/td>\n 8.288<\/td>\n 8.446<\/td>\n 8.598<\/td>\n 9.138<\/td>\n 9.288<\/td>\n 9.446<\/td>\n 9.598<\/td>\n 10.138<\/td>\n 10.446<\/td>\n 10.598<\/td>\n 10.988<\/td>\n 11.144<\/td>\n 11.3<\/td>\n 11.451<\/td>\n 12.833<\/td>\n 13.144<\/td>\n 13.3<\/td>\n 13.451<\/td>\n 14.144<\/td>\n 14.451<\/td>\n 14.833<\/td>\n 15.144<\/td>\n 15.451<\/td>\n 16.144<\/td>\n 16.451<\/td>\n 16.516<\/td>\n 16.833<\/td>\n 17.144<\/td>\n 17.451<\/td>\n 18.516<\/td>\n 18.833<\/td>\n 19.144<\/td>\n 19.451<\/td>\n 20.516<\/td>\n 20.833<\/td>\n 21.144<\/td>\n 21.451<\/td>\n 22.222<\/td>\n 22.841<\/td>\n 23.151<\/td>\n 23.457<\/td>\n 23.841<\/td>\n 24.151<\/td>\n 24.457<\/td>\n 25.151<\/td>\n 25.222<\/td>\n 25.841<\/td>\n 26.151<\/td>\n 26.457<\/td>\n 26.841<\/td>\n 27.151<\/td>\n 27.457<\/td>\n 27.907<\/td>\n 28.222<\/td>\n 28.841<\/td>\n 29.151<\/td>\n 29.457<\/td>\n 30.841<\/td>\n 31.151<\/td>\n 30.907<\/td>\n 31.222<\/td>\n 31.841<\/td>\n 32.151<\/td>\n 34.151<\/td>\n 33.592<\/td>\n 34.222<\/td>\n 34.841<\/td>\n 35.151<\/td>\n 37.151<\/td>\n 36.592<\/td>\n 37.222<\/td>\n 37.841<\/td>\n 38.151<\/td>\n 38.222<\/td>\n 38.841<\/td>\n 39.151<\/td>\n 39.277<\/td>\n 39.592<\/td>\n 40.222<\/td>\n 40.841<\/td>\n 41.151<\/td>\n 42.277<\/td>\n 42.592<\/td>\n 43.222<\/td>\n 43.841<\/td>\n 44.151<\/td>\n 44.965<\/td>\n 45.602<\/td>\n 46.232<\/td>\n 46.851<\/td>\n 47.158<\/td>\n 48.232<\/td>\n 48.851<\/td>\n 49.158<\/td>\n 48.965<\/td>\n 49.602<\/td>\n 50.232<\/td>\n 50.851<\/td>\n 51.158<\/td>\n 52.602<\/td>\n 53.232<\/td>\n 53.851<\/td>\n 54.158<\/td>\n 52.652<\/td>\n 53.602<\/td>\n 54.232<\/td>\n 54.851<\/td>\n 55.158<\/td>\n 55.602<\/td>\n 56.232<\/td>\n 56.851<\/td>\n 57.158<\/td>\n 56.652<\/td>\n 57.602<\/td>\n 58.232<\/td>\n 58.851<\/td>\n 59.158<\/td>\n 59.602<\/td>\n 60.232<\/td>\n 60.851<\/td>\n 61.158<\/td>\n 60.339<\/td>\n 61.602<\/td>\n 62.232<\/td>\n 62.851<\/td>\n 63.158<\/td>\n 62.602<\/td>\n 63.232<\/td>\n 63.851<\/td>\n 64.158<\/td>\n 64.339<\/td>\n 65.602<\/td>\n 66.232<\/td>\n 66.851<\/td>\n 67.158<\/td>\n 66.339<\/td>\n 67.602<\/td>\n 68.232<\/td>\n 68.851<\/td>\n 69.158<\/td>\n 68.339<\/td>\n 69.602<\/td>\n 70.232<\/td>\n 70.851<\/td>\n 71.158<\/td>\n 72.602<\/td>\n 73.232<\/td>\n 73.851<\/td>\n 74.158<\/td>\n 72.339<\/td>\n 73.602<\/td>\n 74.232<\/td>\n 74.851<\/td>\n 75.158<\/td>\n 76.851<\/td>\n 76.339<\/td>\n 77.602<\/td>\n 78.232<\/td>\n 78.851<\/td>\n 79.158<\/td>\n 80.851<\/td>\n 81.339<\/td>\n 82.602<\/td>\n 83.232<\/td>\n 83.851<\/td>\n 86.339<\/td>\n 87.602<\/td>\n<\/tr>\n \n Min<\/td>\n 0.856<\/td>\n 0.887<\/td>\n 0.956<\/td>\n 0.987<\/td>\n 1.056<\/td>\n 1.087<\/td>\n 1.223<\/td>\n 1.287<\/td>\n 1.392<\/td>\n 1.487<\/td>\n 1.592<\/td>\n 1.687<\/td>\n 1.759<\/td>\n 1.856<\/td>\n 1.928<\/td>\n 2.056<\/td>\n 2.228<\/td>\n 2.292<\/td>\n 2.695<\/td>\n 2.792<\/td>\n 3.131<\/td>\n 3.292<\/td>\n 3.567<\/td>\n 3.695<\/td>\n 4.035<\/td>\n 4.195<\/td>\n 4.504<\/td>\n 4.695<\/td>\n 5.195<\/td>\n 5.377<\/td>\n 5.535<\/td>\n 6.377<\/td>\n 6.535<\/td>\n 7.216<\/td>\n 7.377<\/td>\n 7.535<\/td>\n 8.216<\/td>\n 8.377<\/td>\n 8.535<\/td>\n 9.058<\/td>\n 9.216<\/td>\n 9.377<\/td>\n 9.535<\/td>\n 10.058<\/td>\n 10.377<\/td>\n 10.535<\/td>\n 10.897<\/td>\n 11.058<\/td>\n 11.216<\/td>\n 11.377<\/td>\n 12.739<\/td>\n 13.058<\/td>\n 13.216<\/td>\n 13.377<\/td>\n 14.058<\/td>\n 14.377<\/td>\n 14.739<\/td>\n 15.058<\/td>\n 15.377<\/td>\n 16.058<\/td>\n 16.377<\/td>\n 16.418<\/td>\n 16.739<\/td>\n 17.058<\/td>\n 17.377<\/td>\n 18.418<\/td>\n 18.739<\/td>\n 19.058<\/td>\n 19.377<\/td>\n 20.418<\/td>\n 20.739<\/td>\n 21.058<\/td>\n 21.377<\/td>\n 22.222<\/td>\n 22.739<\/td>\n 23.058<\/td>\n 23.377<\/td>\n 23.739<\/td>\n 24.058<\/td>\n 24.377<\/td>\n 25.058<\/td>\n 25.1<\/td>\n 25.739<\/td>\n 26.058<\/td>\n 26.377<\/td>\n 26.739<\/td>\n 27.058<\/td>\n 27.377<\/td>\n 27.907<\/td>\n 28.1<\/td>\n 28.739<\/td>\n 29.058<\/td>\n 29.377<\/td>\n 30.739<\/td>\n 31.058<\/td>\n 30.78<\/td>\n 31.1<\/td>\n 31.739<\/td>\n 32.058<\/td>\n 34.058<\/td>\n 33.462<\/td>\n 34.1<\/td>\n 34.739<\/td>\n 35.058<\/td>\n 37.058<\/td>\n 36.462<\/td>\n 37.1<\/td>\n 37.739<\/td>\n 38.058<\/td>\n 38.1<\/td>\n 38.739<\/td>\n 39.058<\/td>\n 39.14<\/td>\n 39.462<\/td>\n 40.1<\/td>\n 40.739<\/td>\n 41.058<\/td>\n 42.14<\/td>\n 42.462<\/td>\n 43.1<\/td>\n 43.739<\/td>\n 44.058<\/td>\n 44.823<\/td>\n 45.462<\/td>\n 46.1<\/td>\n 46.739<\/td>\n 47.058<\/td>\n 48.1<\/td>\n 48.739<\/td>\n 49.058<\/td>\n 48.823<\/td>\n 49.462<\/td>\n 50.1<\/td>\n 50.739<\/td>\n 51.058<\/td>\n 52.462<\/td>\n 53.1<\/td>\n 53.739<\/td>\n 54.058<\/td>\n 52.652<\/td>\n 53.602<\/td>\n 54.232<\/td>\n 54.851<\/td>\n 55.158<\/td>\n 55.602<\/td>\n 56.232<\/td>\n 56.851<\/td>\n 57.158<\/td>\n 56.652<\/td>\n 57.602<\/td>\n 58.232<\/td>\n 58.851<\/td>\n 59.158<\/td>\n 59.602<\/td>\n 60.232<\/td>\n 60.851<\/td>\n 61.158<\/td>\n 60.339<\/td>\n 61.602<\/td>\n 62.232<\/td>\n 62.851<\/td>\n 63.158<\/td>\n 62.602<\/td>\n 63.232<\/td>\n 63.851<\/td>\n 64.158<\/td>\n 64.339<\/td>\n 65.602<\/td>\n 66.232<\/td>\n 66.851<\/td>\n 67.158<\/td>\n 66.339<\/td>\n 67.602<\/td>\n 68.232<\/td>\n 68.851<\/td>\n 69.158<\/td>\n 68.339<\/td>\n 69.602<\/td>\n 70.232<\/td>\n 70.851<\/td>\n 71.158<\/td>\n 72.602<\/td>\n 73.232<\/td>\n 73.851<\/td>\n 74.158<\/td>\n 72.339<\/td>\n 73.602<\/td>\n 74.232<\/td>\n 74.851<\/td>\n 75.158<\/td>\n 76.851<\/td>\n 76.339<\/td>\n 77.602<\/td>\n 78.232<\/td>\n 78.851<\/td>\n 79.158<\/td>\n 80.851<\/td>\n 81.339<\/td>\n 82.602<\/td>\n 83.232<\/td>\n 83.851<\/td>\n 86.339<\/td>\n 87.602<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n M\u00e9todos de c\u00e1lculo para D2<\/sub> Toler\u00e2ncias<\/h2>\n
\n
Melhores pr\u00e1ticas na aplica\u00e7\u00e3o<\/h2>\n
\n
Perguntas frequentes<\/h2>\n
Qual \u00e9 o di\u00e2metro primitivo nominal para uma rosca interna M10x1,5?<\/h3>\n
Como os graus de toler\u00e2ncia afetam o ajuste?<\/h3>\n
Por que o 6H \u00e9 comumente usado?<\/h3>\n
\u00c9 poss\u00edvel ajustar as toler\u00e2ncias em roscas revestidas?<\/h3>\n
E se um determinado tamanho n\u00e3o estiver na tabela?<\/h3>\n
Como medir D2<\/sub> Exatamente?<\/h3>\n