This guide provides a comprehensive overview of tolerances for the pitch diameter (D2<\/sub>) 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 mating threads, influencing strength and sealing properties. This resource supplements broader discussions on major, pitch, and minor diameters, focusing specifically on internal thread D2<\/sub> values across various tolerance grades and sizes from M1 to M300.<\/p>\n Adhering to ISO standards guarantees reliability in industries such as automotive, aerospace, and machinery manufacturing. Tolerances are specified for grades like 4H to 8H, with maximum and minimum limits in millimeters, enabling precise machining and quality control.<\/p>\n The pitch diameter D2<\/sub> represents the imaginary cylinder where the thread width equals the space width, crucial for thread engagement. For internal threads, tolerances are defined by upper and lower deviation limits based on tolerance class (e.g., 6H for medium fit).<\/p>\n Understanding these ensures optimal thread performance, preventing issues like stripping or loose fits in assemblies.<\/p>\n The table below lists maximum and minimum D2<\/sub> dimensions in mm for metric internal threads per ISO 965-1. It covers common sizes and pitches, with tolerance classes highlighted (e.g., 6H in green for standard use). Use this for design and inspection; consult full ISO documentation for additional pitches.<\/p>\n Note: Values are for reference; verify with ISO 965 for specific applications. Highlighted 6H is common for general use.<\/p>\n Tolerances for D2<\/sub> are calculated using ISO 965 formulas: Lower limit = nominal D2<\/sub> + EI, upper limit = nominal D2<\/sub> + EI + T, where EI is lower deviation (0 for H classes), T is tolerance grade magnitude.<\/p>\n These methods ensure precision, with software tools aiding complex calculations.<\/p>\n Apply tolerances based on assembly requirements: Use 6H for standard fits, tighter grades for high-load applications. Inspect with calibrated gauges, considering material expansion.<\/p>\n Nominal D2<\/sub> = 10 – 0.6495*1.5 \u2248 9.026 mm; apply tolerance class for limits.<\/p>\n Lower grades (e.g., 4H) allow looser fits for ease of assembly; higher (8H) for precision, per ISO 965.<\/p>\n It provides a balanced medium tolerance for general engineering, ensuring reliable interchangeability.<\/p>\n Yes, add plating allowance to limits as per ISO 4042, typically 4-8 \u03bcm per side.<\/p>\n Use ISO 965 formulas for calculation or consult extended standards for non-standard pitches.<\/p>\n Employ the three-wire method with micrometer, using wire diameters based on pitch for precise readings.<\/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\/th\/wp-json\/wp\/v2\/posts\/5789","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/korea-transmission.com\/th\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/korea-transmission.com\/th\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/th\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/th\/wp-json\/wp\/v2\/comments?post=5789"}],"version-history":[{"count":2,"href":"https:\/\/korea-transmission.com\/th\/wp-json\/wp\/v2\/posts\/5789\/revisions"}],"predecessor-version":[{"id":5791,"href":"https:\/\/korea-transmission.com\/th\/wp-json\/wp\/v2\/posts\/5789\/revisions\/5791"}],"wp:attachment":[{"href":"https:\/\/korea-transmission.com\/th\/wp-json\/wp\/v2\/media?parent=5789"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/korea-transmission.com\/th\/wp-json\/wp\/v2\/categories?post=5789"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/korea-transmission.com\/th\/wp-json\/wp\/v2\/tags?post=5789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Key Concepts: Pitch Diameter D2<\/sub> for Internal Threads<\/h2>\n
\n
Tolerance Table for Internal Thread Pitch Diameter D2<\/sub><\/h2>\n
\n\n
\n Tolerance Class<\/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 \u0e40\u0e2d\u0e47\u0e212<\/th>\n M2.2<\/th>\n \u0e21.2.5<\/th>\n \u0e40\u0e2d\u0e47\u0e213<\/th>\n \u0e213.5<\/th>\n \u0e40\u0e2d\u0e47\u0e214<\/th>\n M4.5<\/th>\n \u0e40\u0e2d\u0e47\u0e215<\/th>\n M5.5<\/th>\n \u0e40\u0e2d\u0e47\u0e216<\/th>\n \u0e40\u0e2d\u0e47\u0e217<\/th>\n \u0e40\u0e2d\u0e47\u0e218<\/th>\n M9<\/th>\n \u0e40\u0e2d\u0e47\u0e2110<\/th>\n M11<\/th>\n \u0e40\u0e2d\u0e47\u0e2112<\/th>\n \u0e40\u0e2d\u0e47\u0e2114<\/th>\n M15<\/th>\n \u0e40\u0e2d\u0e47\u0e2116<\/th>\n M17<\/th>\n \u0e40\u0e2d\u0e47\u0e2118<\/th>\n \u0e40\u0e2d\u0e47\u0e2120<\/th>\n \u0e40\u0e2d\u0e47\u0e2122<\/th>\n \u0e40\u0e2d\u0e47\u0e2124<\/th>\n M25<\/th>\n M26<\/th>\n \u0e40\u0e2d\u0e47\u0e2127<\/th>\n M28<\/th>\n \u0e40\u0e2d\u0e47\u0e2130<\/th>\n M32<\/th>\n \u0e40\u0e2d\u0e47\u0e2133<\/th>\n M35<\/th>\n \u0e40\u0e2d\u0e47\u0e2136<\/th>\n M38<\/th>\n \u0e40\u0e2d\u0e47\u0e2139<\/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 Calculation Methods for D2<\/sub> Tolerances<\/h2>\n
\n
Best Practices in Application<\/h2>\n
\n
\u0e04\u0e33\u0e16\u0e32\u0e21\u0e17\u0e35\u0e48\u0e1e\u0e1a\u0e1a\u0e48\u0e2d\u0e22<\/h2>\n
What is the nominal pitch diameter for an M10x1.5 internal thread?<\/h3>\n
How do tolerance grades affect fit?<\/h3>\n
Why is 6H commonly used?<\/h3>\n
Can tolerances be adjusted for plated threads?<\/h3>\n
What if a size is not in the table?<\/h3>\n
How to measure D2<\/sub> accurately?<\/h3>\n