Cutting tool is the biggest the rash club sex of equation of dimension service life and its dependability examines

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Makaluofu is on the foundation that studies cutting law deep, the function that reached element of great majority of tatty of influence cutting tool is osculatory surface temperature this one conclusion, formulated conversation law of famous optimal cutting temperature, the optimal cutting temperature below the different collocation that measures in cutting temperature, feed and back penetration of a cutting tool namely (when the material of cutting tool cutting part is certain) of corresponding cutting area constant temperature () of optimal cutting temperature. The article studied through cutting experiment temperature is right the influence rule of cutting tool service life, derivation the cutting tool that is based on conversation law of optimal cutting temperature is the biggest equation of dimension service life, the dependability that is based on Cheng of the other side of principle of rash club sex undertook test and verify. Equation of service life of 2 cutting tool is opposite to study temperature the influence rule of cutting tool service life, undertake cutting experiments as follows: Experiment condition: Cutting tool is hard alloy lathe tool, brand 798(ISO classifies P25) , workpiece is 54CrMnMo bearing roller, the machine tool produces 4 meters of heavy-duty lathe for Czech. Try proved recipe way: Identical feed is used when cutting, of experiment cutting tool wear away degree; By wear away relatively the least value (or cutting tool is ground blunt the cutting journey maximum before) namely optimal cutting temperature will choose cutting career, speed of again affirmatory cutting (when using different feed to machine) to thermocouple (hard alloy -- by treatment material) in the heats up electromotive force E to be worth influence of generation (obtain the smallest opposite tatty to also obtain) of optimal cutting speed at the same time namely. Be worth when E changeless, when using optimal feed, be like next relation: (In 1)(2) type: VOE -- HOAO of optimal cutting temperature -- optimal surface wears away A1, A2, X1, X2 -- experiment constant F -- feed gets VOE=22f0 through the experiment.

53hOAO=41f0.

65 type (1) , type (the optimal cutting rate that 2) determines to be based on conversation law of optimal cutting temperature and optimal surface wear away with the relation between feed. type (1) and type (2) couplet made cutting tool instantly the parameter equation of service life of the largest size. Use a least square method, change type (1) sets 1lgVOE=y for linear form LgVOE=lgA1-x1lgf, lgA1=b, lgf=x, - X1=a function: Y=ax+b, m= , when M/a=0, M/b=0, have seek solution this equation group, the rash club sex that invariable A1 and X1 are equation of service life of 2 cutting tool to can get X2 and A2 with manage examines 2.

Cheng of proved recipe of check of sex of 1 rash club sets function of loss of dependability of cutting tool service life to be R=k(Sy-S)2 type in: R -- K of function of loss of service life dependability -- coefficient Sy -- service life character is worth S -- target of service life character is worth the property according to Taguchi function, in choosing to believe a confusion of voices to be type of S=-10lg[1(Σ Syi-2)]Nn than function: Sy-1 -- test value (I=1, 2, ... the resistance that N) asks level of cutting tool service life is disturbed to noise normally has been jumped over more by force, ask the average of test value is close to target cost to had been jumped over more for many times already, in the meantime, deviation limits Yue Xiaoyue is good. A confusion of voices that use a letter measures level of cutting tool service life than S/N, consider average level considers cutting tool service life again already limits of its wave motion. Level of cutting tool service life is higher. Express 1 element and level 123 can accuse element A: Cutting speed V<VOEVOE*>VOEB: Back penetration of a cutting tool measures Ap<ap*ap*>ap*C: D of element of feed Ff1f2f3 noise: Stability of machining complex stability is stabler (contain not stable random element) E: The surface machines precision to note high commonly: VOE* : By type (the optimal cutting speed that 1) reachs; Ap* : Economy machines precision correspondence to be worth; F3: Type (the 1111212232124221 watches of × of orthogonal vector DED that the corresponding value of 1) expresses the 2 orthogonal vector ABC111121223133421252236231731383219332 that can control an element to express 3 noise factor the result 4321S/N119 that 4 orthogonality experiment.

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Of the main factor of service life of 2 influences cutting tool and service life of horizontal influence cutting tool basically 3 can control an element (A: Cutting speed V; B: Back penetration of a cutting tool measures Ap; C: Feed F) and two noise element (D: Machining complex stability; E: The surface machines precision) . Seek the optimal combination of A, B, C, make S/N R is the smallest and the biggest. If the watch is shown 2 times, plant every can accuse element cent to be cent of element of 3 class, noise to be two class. 2.

Vector uses the orthogonality that 3 orthogonality experiment expresses 2 kinds to undertake actorring or actress choosing to can controlling an element, among them 1, 2, 3 it is on behalf of the element respectively the first, the 2nd with the 3rd level (if the group in the watch states the experiment is medium,can accuse element A, B, C to all take) of the first level. In the experiment, of noise element if the watch is shown 3 times,choose. Among them, d, E two medium 1 and 2 represent each noise element respectively the first with the 2nd level; D × E uses the reciprocity of estimation noise element. The meaning of this orthogonality vector is opposite at going out certainly noise element is the most sensitive can control element standard. two orthogonality vector union is together (4) seeing a table, form complete parameter to design orthogonal vector watch. The data of intermediate fill is corresponding relative value of all sorts of dependability of cutting tool service life that can control element and noise element level to fall. With the first analysis of matrix data, 3 can accuse an element to be the first level, but the combination of the level of two noise element of correspondence of 4 measured value is different. To each character, the cutting tool service life that can see this can accuse element combination to be able to come true all right from its average not only is honest level, of the resistance that the combination that the dispersive rate that still can carry 4 data sees this group can control an element disturbs to noise lose by force. 2.

4 optimize an analysis to believe a confusion of voices to compare according to S/N() the biggest principle can optimize a result certainly. According to this one principle, the combination of A, B, C should is (right now S/N is A2, B2, C3) 26.

148. To optimize parameter further, here still should undertake computational analytic to be being answered on average, in order to assist certain factor level. Because the experiment designs be orthogonality, can depart give result of every element action to make effect plan, can assist thereby decision-making. 3 can control an element the action result to S/N. Visible, the change of element A, C is more than B element to the effect effect of S/N. A element is taken (the S/N when A2) is the biggest, apparent excel (A1) and (the case of A3) ; C is taken (the S/N when C3) is the biggest; B factor is not big to S/N influence, but take (the S/N when B3) is the biggest. 3 can accuse an element to be opposite result of action of losing of cutting tool service life. Visible, b is taken (the dependability of cutting tool service life when B2) is compared take (when B3) big. Accordingly, set out from the angle that reduces cost, obtain can control an element optimal combination is (A2, b2, c3) . By above the analysis can reach the rash club sex of dependability of cutting tool service life examines result: V) of speed of element A(cutting takes horizontal 2(VOE*) ; Element B(carries penetration of a cutting tool on the back to measure Ap) to take horizontal 2(ap*) ; Element C(feed F) takes horizontal 3(f3) . Visible, the conclusion that actor choosing plan and conversation law of optimal cutting temperature obtain is consistent. 3 epilogue on the foundation that the article studies in the experiment, derivation the cutting tool that is based on conversation law of optimal cutting temperature is the biggest equation of dimension service life, determined the impact between optimal cutting speed and optimal surface wear extent and feed, gave out the expression of relevant parameter. Below the case that gives amount of back penetration of a cutting tool, allow according to craft given dosage of cutting of choice of the biggest feed, can reach by this equation optimal cutting speed and optimal surface wear extent. Use method of rash club sex to be opposite equation of service life of the largest size had the cutting tool that is based on conversation law of optimal cutting temperature test and verify. The result that rash club sex examines makes clear: This equation is reliable; Will choose cutting dosage according to this equation, can achieve the optimum solution that machines a process, achieve best technical economic performance namely. CNC Milling CNC Machining