# The integration analysis of machining error (go up)

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5 μ of ≈ of M of 75 μ of M (4) calculate the first group on, next bounds are worth of Sm ± the first group upper bound is restricted to be worth for = of S M ＋ (16+ ) μ M = 18.

5 μ M; Next end worths are Sm - = (16 - ) μ M = 13.

5 μ M. (5) computational the others each groups go up, next end worths. The first group upper bound is restricted to be worth is next the 2nd group end worths. Next the 2nd group end worths are added group be apart from even if the 2nd group upper bound is restricted to be worth, the others analogize. (6) the center that counts each groups is worth X I. Central value is every groups of numerical value among. Xi = (some group of upper limit are worth + some group of floor level are worth) / the first group of centers are worth 2 of of M of μ of M=16 of Xi= Xi= μ (7) the data that records each groups, arrange Cheng Pin to count distributinging watch, if express 4-5 place,show. (8) each groups size frequency, frequency mixes statistic frequency density, in filling a list. (9) it is ordinate with frequency density by the data that express a kind; Group be apart from (dimension is removed) can draw a histogram for the abscissa, if graph 4-32 place shows a list,4-5 frequency distributings class boundary of N of watch set number / frequency of Mi of frequency of statistic of frequency of I of χ of value of μ M center / % frequency density / (μ M-1) (% ) 113.

5~18.

516 | | | 330.

6218.

5~23.

521 | | | | | | | 771.

4323.

5~28.

526 | | | | | | | | 881.

6428.

5~33.

531 | | | | | | | | | | | | | 13132.

6533.

5~38.

536 | | | | | | | | | | | | | | | | | | | | | | | | | | 26265.

2638.

5~43.

541 | | | | | | | | | | | | | | | | | | | 16163.

2743.

5~48.

546 | | | | | | | | | | | | | | | | | | | 16163.

2848.

5~53.

551 | | | | | | | | | | | | 10102953.

5~58.

556 | 110.

2 by graph 4-32 knowable, dispersive limits resides this measure that approves work for the most part in, slant big, slant small person less. Dimension is dispersive limits = is the biggest diametical – is the smallest diametical = 60.

054 – 60.

016 = 0.

Dimension of 038mm is dispersive limits center: The public errand of diameter of Mm takes central = 60+ = 60.

Standard deviation of of 025 Mm is: of = = Mm can see from inside the graph, the dispersive limits of this batch of workpiece is 0.

038, smaller than tolerancepublic errand belt, but dispersive limits center and public errand take measure center not coincide, if try to adjust dispersive limits center,take coincide with tolerancepublic errand, should increase the radial feed of the machine tool only namely 0.

012 Mm, can eliminate error of constant value system. CNC Milling