{"id":5789,"date":"2025-12-25T01:27:43","date_gmt":"2025-12-25T01:27:43","guid":{"rendered":"https:\/\/korea-transmission.com\/?p=5789"},"modified":"2025-12-25T01:27:43","modified_gmt":"2025-12-25T01:27:43","slug":"metric-internal-thread-pitch-diameter-tolerances","status":"publish","type":"post","link":"https:\/\/korea-transmission.com\/id\/blog\/metric-internal-thread-pitch-diameter-tolerances\/","title":{"rendered":"Toleransi Diameter Pitch Ulir Dalam Metrik"},"content":{"rendered":"
Panduan ini memberikan gambaran menyeluruh tentang toleransi untuk diameter pitch (D).2<\/sub>) ulir internal metrik, diselaraskan dengan standar ISO 965-1 untuk ulir sekrup metrik tujuan umum. Toleransi ini memastikan kemampuan saling tukar, kesesuaian, dan kinerja dalam rakitan mekanis. Diameter pitch sangat penting karena menentukan area kontak efektif antara ulir yang berpasangan, memengaruhi kekuatan dan sifat penyegelan. Sumber daya ini melengkapi diskusi yang lebih luas tentang diameter mayor, pitch, dan minor, dengan fokus khusus pada ulir internal D.2<\/sub> nilai-nilai di berbagai tingkat toleransi dan ukuran dari M1 hingga M300.<\/p>\n Kepatuhan terhadap standar ISO menjamin keandalan di berbagai industri seperti otomotif, kedirgantaraan, dan manufaktur mesin. Toleransi ditentukan untuk tingkatan seperti 4H hingga 8H, dengan batas maksimum dan minimum dalam milimeter, memungkinkan pemesinan yang presisi dan kontrol kualitas.<\/p>\n Diameter pitch D2<\/sub> Ini mewakili silinder imajiner di mana lebar ulir sama dengan lebar ruang, yang sangat penting untuk pengikatan ulir. Untuk ulir internal, toleransi ditentukan oleh batas deviasi atas dan bawah berdasarkan kelas toleransi (misalnya, 6H untuk pemasangan sedang).<\/p>\n Memahami hal ini memastikan kinerja ulir yang optimal, mencegah masalah seperti ulir yang aus atau pemasangan yang longgar pada rakitan.<\/p>\n Tabel di bawah ini mencantumkan nilai D maksimum dan minimum.2<\/sub> Dimensi dalam mm untuk ulir internal metrik per ISO 965-1. Ini mencakup ukuran dan jarak ulir umum, dengan kelas toleransi yang disorot (misalnya, 6H berwarna hijau untuk penggunaan standar). Gunakan ini untuk desain dan inspeksi; konsultasikan dokumentasi ISO lengkap untuk jarak ulir tambahan.<\/p>\n Catatan: Nilai-nilai tersebut hanya sebagai referensi; verifikasi dengan ISO 965 untuk aplikasi spesifik. 6H yang disorot adalah umum untuk penggunaan umum.<\/p>\n Toleransi untuk D2<\/sub> dihitung menggunakan rumus ISO 965: Batas bawah = nominal D2<\/sub> + EI, batas atas = nominal D2<\/sub> + EI + T, di mana EI adalah deviasi bawah (0 untuk kelas H), T adalah besaran tingkat toleransi.<\/p>\n Metode-metode ini memastikan ketelitian, dengan bantuan perangkat lunak dalam melakukan perhitungan yang kompleks.<\/p>\n Terapkan toleransi berdasarkan persyaratan perakitan: Gunakan 6H untuk pemasangan standar, tingkatan yang lebih ketat untuk aplikasi beban tinggi. Periksa dengan alat ukur yang telah dikalibrasi, dengan mempertimbangkan pemuaian material.<\/p>\n Nominal D2<\/sub> = 10 \u2013 0,6495*1,5 \u2248 9,026 mm; terapkan kelas toleransi untuk batas.<\/p>\n Tingkat yang lebih rendah (misalnya, 4H) memungkinkan pemasangan yang lebih longgar untuk kemudahan perakitan; tingkat yang lebih tinggi (8H) untuk presisi, sesuai ISO 965.<\/p>\n Ini memberikan toleransi sedang yang seimbang untuk rekayasa umum, memastikan kemampuan pertukaran yang andal.<\/p>\n Ya, tambahkan toleransi pelapisan hingga batas sesuai ISO 4042, biasanya 4-8 \u03bcm per sisi.<\/p>\n Gunakan rumus ISO 965 untuk perhitungan atau konsultasikan standar yang lebih lengkap untuk pitch non-standar.<\/p>\n Gunakan metode tiga kawat dengan mikrometer, menggunakan diameter kawat berdasarkan jarak antar kawat untuk pembacaan yang tepat.<\/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\/id\/wp-json\/wp\/v2\/posts\/5789","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/korea-transmission.com\/id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/korea-transmission.com\/id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/id\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/id\/wp-json\/wp\/v2\/comments?post=5789"}],"version-history":[{"count":2,"href":"https:\/\/korea-transmission.com\/id\/wp-json\/wp\/v2\/posts\/5789\/revisions"}],"predecessor-version":[{"id":5791,"href":"https:\/\/korea-transmission.com\/id\/wp-json\/wp\/v2\/posts\/5789\/revisions\/5791"}],"wp:attachment":[{"href":"https:\/\/korea-transmission.com\/id\/wp-json\/wp\/v2\/media?parent=5789"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/korea-transmission.com\/id\/wp-json\/wp\/v2\/categories?post=5789"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/korea-transmission.com\/id\/wp-json\/wp\/v2\/tags?post=5789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Konsep Utama: Diameter Pitch D2<\/sub> untuk Thread Internal<\/h2>\n
\n
Tabel Toleransi untuk Diameter Pitch Ulir Dalam D2<\/sub><\/h2>\n
\n\n
\n Kelas Toleransi<\/th>\n Membatasi<\/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 Maksimum<\/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 4 jam<\/td>\n Maksimum<\/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 Metode Perhitungan untuk D2<\/sub> Toleransi<\/h2>\n
\n
Praktik Terbaik dalam Penerapan<\/h2>\n
\n
Pertanyaan yang Sering Diajukan (FAQ)<\/h2>\n
Berapakah diameter ulir nominal untuk ulir dalam M10x1.5?<\/h3>\n
Bagaimana tingkat toleransi memengaruhi kesesuaian?<\/h3>\n
Mengapa metode 6H umum digunakan?<\/h3>\n
Apakah toleransi dapat disesuaikan untuk ulir berlapis?<\/h3>\n
Bagaimana jika ukuran yang diinginkan tidak ada dalam tabel?<\/h3>\n
Cara mengukur D2<\/sub> akurat?<\/h3>\n