Dieser Leitfaden bietet einen umfassenden \u00dcberblick \u00fcber die Toleranzen f\u00fcr den Teilkreisdurchmesser (D).2<\/sub>Die Toleranzen f\u00fcr metrische Innengewinde entsprechen der Norm ISO 965-1 f\u00fcr metrische Standard-Schraubengewinde. Diese Toleranzen gew\u00e4hrleisten Austauschbarkeit, Passgenauigkeit und Leistungsf\u00e4higkeit in mechanischen Baugruppen. Der Flankendurchmesser ist entscheidend, da er die effektive Kontaktfl\u00e4che zwischen den Gewindeg\u00e4ngen bestimmt und somit Festigkeit und Dichtwirkung beeinflusst. Diese Ressource erg\u00e4nzt die umfassenderen Erl\u00e4uterungen zu Kern-, Flanken- und Au\u00dfendurchmessern und konzentriert sich speziell auf das Innengewinde D.2<\/sub> Werte \u00fcber verschiedene Toleranzgrade und Gr\u00f6\u00dfen von M1 bis M300.<\/p>\n Die Einhaltung von ISO-Normen gew\u00e4hrleistet Zuverl\u00e4ssigkeit in Branchen wie der Automobil-, Luft- und Raumfahrt- sowie der Maschinenbauindustrie. Toleranzen f\u00fcr G\u00fcteklassen wie 4H bis 8H sind mit maximalen und minimalen Grenzwerten in Millimetern spezifiziert und erm\u00f6glichen so eine pr\u00e4zise Bearbeitung und Qualit\u00e4tskontrolle.<\/p>\n Der Teilkreisdurchmesser D2<\/sub> Dies stellt den gedachten Zylinder dar, in dem die Gewindebreite der Spaltbreite entspricht, was f\u00fcr den Gewindeeingriff entscheidend ist. Bei Innengewinden werden die Toleranzen durch obere und untere Abweichungsgrenzen definiert, die auf der Toleranzklasse basieren (z. B. 6H f\u00fcr mittlere Passung).<\/p>\n Das Verst\u00e4ndnis dieser Zusammenh\u00e4nge gew\u00e4hrleistet eine optimale Gewindeleistung und verhindert Probleme wie \u00dcberdrehen oder lockere Passungen in Baugruppen.<\/p>\n Die folgende Tabelle listet die maximalen und minimalen Werte f\u00fcr D auf.2<\/sub> Abmessungen in mm f\u00fcr metrische Innengewinde gem\u00e4\u00df ISO 965-1. Die Tabelle umfasst g\u00e4ngige Gr\u00f6\u00dfen und Steigungen mit hervorgehobenen Toleranzklassen (z. B. 6H gr\u00fcn f\u00fcr Standardanwendungen). Diese Tabelle dient der Konstruktion und Pr\u00fcfung; weitere Steigungen finden Sie in der vollst\u00e4ndigen ISO-Dokumentation.<\/p>\n Hinweis: Die Werte dienen als Referenz; f\u00fcr spezifische Anwendungen sind sie mit ISO 965 abzugleichen. Die hervorgehobene Stufe 6H ist f\u00fcr den allgemeinen Gebrauch \u00fcblich.<\/p>\n Toleranzen f\u00fcr D2<\/sub> werden nach ISO 965 berechnet: Untergrenze = Nennwert D2<\/sub> + EI, obere Grenze = nominales D2<\/sub> + EI + T, wobei EI die untere Abweichung (0 f\u00fcr H-Klassen) und T die Toleranzstufengr\u00f6\u00dfe ist.<\/p>\n Diese Methoden gew\u00e4hrleisten Pr\u00e4zision, wobei Software-Tools komplexe Berechnungen unterst\u00fctzen.<\/p>\n Toleranzen entsprechend den Montageanforderungen anwenden: 6H f\u00fcr Standardpassungen, engere G\u00fcteklassen f\u00fcr Anwendungen mit hoher Belastung verwenden. Mit kalibrierten Lehren pr\u00fcfen und die Materialausdehnung ber\u00fccksichtigen.<\/p>\n Nominal D2<\/sub> = 10 \u2013 0,6495*1,5 \u2248 9,026 mm; Toleranzklasse f\u00fcr Grenzwerte anwenden.<\/p>\n Niedrigere G\u00fcteklassen (z. B. 4H) erm\u00f6glichen lockerere Passungen f\u00fcr eine einfachere Montage; h\u00f6here G\u00fcteklassen (8H) f\u00fcr Pr\u00e4zision gem\u00e4\u00df ISO 965.<\/p>\n Es bietet eine ausgewogene mittlere Toleranz f\u00fcr allgemeine Konstruktionszwecke und gew\u00e4hrleistet so eine zuverl\u00e4ssige Austauschbarkeit.<\/p>\n Ja, addieren Sie den Plattierungszuschlag gem\u00e4\u00df ISO 4042, typischerweise 4-8 \u03bcm pro Seite.<\/p>\n Verwenden Sie die Formeln nach ISO 965 zur Berechnung oder konsultieren Sie erweiterte Normen f\u00fcr nicht standardm\u00e4\u00dfige Tonh\u00f6hen.<\/p>\n Verwenden Sie die Drei-Draht-Methode mit einem Mikrometer, wobei die Drahtdurchmesser auf der Steigung basieren, um pr\u00e4zise Messwerte zu erhalten.<\/p>\n <\/p>","protected":false},"excerpt":{"rendered":" Introduction to Metric Thread Tolerances This guide provides a comprehensive overview of tolerances for the pitch diameter (D2) of metric internal threads, aligned with ISO 965-1 standards for general-purpose metric screw threads. These tolerances ensure interchangeability, fit, and performance in mechanical assemblies. The pitch diameter is critical as it determines the effective contact area between […]<\/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\/de\/wp-json\/wp\/v2\/posts\/5789","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/korea-transmission.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/korea-transmission.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/de\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/de\/wp-json\/wp\/v2\/comments?post=5789"}],"version-history":[{"count":2,"href":"https:\/\/korea-transmission.com\/de\/wp-json\/wp\/v2\/posts\/5789\/revisions"}],"predecessor-version":[{"id":5791,"href":"https:\/\/korea-transmission.com\/de\/wp-json\/wp\/v2\/posts\/5789\/revisions\/5791"}],"wp:attachment":[{"href":"https:\/\/korea-transmission.com\/de\/wp-json\/wp\/v2\/media?parent=5789"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/korea-transmission.com\/de\/wp-json\/wp\/v2\/categories?post=5789"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/korea-transmission.com\/de\/wp-json\/wp\/v2\/tags?post=5789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Schl\u00fcsselkonzepte: Teilkreisdurchmesser D2<\/sub> f\u00fcr Innengewinde<\/h2>\n
\n
Toleranztabelle f\u00fcr den Flankendurchmesser D des Innengewindes2<\/sub><\/h2>\n
\n\n
\n Toleranzklasse<\/th>\n Limit<\/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 Max<\/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 Max<\/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 Berechnungsmethoden f\u00fcr D2<\/sub> Toleranzen<\/h2>\n
\n
Bew\u00e4hrte Verfahren bei der Anwendung<\/h2>\n
\n
H\u00e4ufig gestellte Fragen<\/h2>\n
Welchen Nenndurchmesser hat ein M10x1,5-Innengewinde?<\/h3>\n
Wie wirken sich Toleranzklassen auf die Passung aus?<\/h3>\n
Warum wird h\u00e4ufig 6H verwendet?<\/h3>\n
K\u00f6nnen die Toleranzen f\u00fcr galvanisierte Gewinde angepasst werden?<\/h3>\n
Was ist, wenn eine Gr\u00f6\u00dfe nicht in der Tabelle aufgef\u00fchrt ist?<\/h3>\n
Wie misst man D?2<\/sub> genau?<\/h3>\n