Ucwaningo ngokulahleka kwengcindezi yomjovo emgqonyeni womshini wokubumba umjovo

Foreword

Injection molding process parameter setting is a field of strong experience and weak theory, and it is difficult to establish [1] for its accurate mathematical model, while data analysis technology is a method to finding knowledge from historical data, which does not need complex theoretical construction, so it is more and more widely used in this field. Ngokwesibonelo, Zhang Lingli et al. [2] used multiple regression analysis to establish a regression model for the relationship between the injection pressure and mold temperature and the geometric size of the moldingXie Peiping et al [3] discussed the relationship between the residual stress of the product by studying the type cavity pressure curve of different parts; SHEN C Y et al [4] yenze kahle imingcele yenqubo yomjovo ukuze kuncishiswe ivolumu yomkhiqizo wokubumba, futhi [5] uphakamise indlela yokuqapha inqubo yomjovo ngemodeli yenethiwekhi, ukuze kuqashwe amaphutha kanye nokuqagela ikhwalithi.

Esikhathini esidlule sokukhiqiza, onjiniyela bangathola kuphela idatha yengcindezi yomjovo emgqonyeni womshini wokubumba umjovo, ngakho-ke ukucindezela komjovo emgqonyeni kuvame ukulingana nokucindezela komjovo emgodini wesikhunta, kuyilapho ukulahlekelwa kwengcindezi yomjovo emgqonyeni kunganakwa. Ngokuthuthukiswa kobuchwepheshe bokubumba umjovo, more and moreMore and more practitioners realized that the key index affecting the quality of injection molding products was the mold cavity injection pressure rather than the injection pressure feedback by the injection molding machine, and began to pay attention to the study of injection pressure loss in the injection molding machine, but few systematic research data and conclusions were reported.

According to the technology development trend in the field of plastic injection molding, combined with the industry status, now in the injection pressure loss research, through a series of tests to obtain data, and using the data analysis technology to explore the injection pressure loss pattern, improve the injection pressure loss prediction accuracy.

Equipment and mold for study

Ukuhlolwa kokubumba umjovo kwenziwa ku-a 1 200 umshini wokubumba umjovo kagesi we-kN, eyamukela i-motor drive ephelele kanye ne-PLC, ukuguqulwa kwemvamisa kanye nobuchwepheshe bokulawula i-servo, futhi ingafinyelela ukulawula ukunemba okuphezulu. Ukulawulwa komshini wokubumba umjovo wokuzinza

Ukusebenza kungaqinisekisa ukwethembeka nokuzinza kwemiphumela yokuhlolwa. Isikhunta esisetshenziselwa ucwaningo siyisikhunta samapuleti amabili wesiteshi sokugeleza esijwayelekile esifakwe nenzwa yokucindezela esangweni. Usayizi wesikhala 301 mm 57 mm 2.5 mm. Umkhiqizo owenziwe unobukhulu obufanayo kanye nesakhiwo esilula, engakwazi ukubona izindleko eziphansi kanye nenqubo yokuhlola umjovo osebenza kahle kakhulu.

Ukuze kube lula ukutholwa nokuhlaziywa kwedatha, i-ComoDataCen yasetshenziswa (isistimu yokugcina emaphakathi yedatha yenqubo yomjovo we-r), iqoqo elimaphakathi kanye nokucutshungulwaUkucindezela komjovo kanye nengcindezi yenzwa esangweni lesikhunta, imodeli yokuhlola umjovo ikhonjiswe kuMfanekiso 1.

indlela yokuhlola

Njengoba uhlolo locwaningo lwenzelwe ukuhlola izici ezithinta ingcindezi ngesikhathi sokujova, ingcindezi

Isivinini sokujova, ncibilika izinga lokushisa, kanye nohlobo lwempahla njenge 3 izinto

Izifundo eziguquguqukayo, ngephoyinti elilodwa lenkomba ye-viscosity index (VI) phakathi kuka-51.6~

327.2 (Iphoyinti elilodwa lenkomba ye-viscosity index isezingeni lokushisa elishiwo kanye nezinga lokugunda lika 1 000 / s) kusetshenziswa i-Cross-WLFI-viscosity ebalwa imodeli ye-viscosity ingabonisa uketshezi lwento ngokwezinga elithile., yenza izivivinyo zokujova ngaphansi kwezimo ezihlukene zokushisa ezincibilikayo ngesivinini se-screw 20 ~ 180 mm/s, futhi uqoqe ingcindezi yomjovo kanye nengcindezi yenzwa yomjovo ngaphansi kokuhlolwa okuhlukahlukene komjovo. The list of research test materials is shown in Table 1.

Test data collection

Through a series of injection molding tests, the injection pressure of injection machine and mold sensor pressure curve under different process conditions of various materials are obtained, and the injection pressure curve V / P is switched

The time pressure value PF 1 and the die sensor pressure curve V / P switch

The differential pressure value of PF 2 obtains Δ PF and characterizes the injection pressure loss in the barrel of the injection molding machine in the filling stage. Njengoba kuboniswe kuMfanekiso 2, the fill phaseInjection pressure loss in the barrel of the injection machine Δ PF = 1 649-946=703bar.

For the calculation of the injection pressure loss in the barrel stage, after the pressure loss, the difference between the pressure value PP2 Δ P is the pressure loss in the pressure value in the barrel and the barrel is the pressure loss in the barrel and the injection pressure loss Δ PP=999-732=267 bar.

Analysis of trial data

Test data collation

Through the above methods, the test data of each group was sorted out and the test data table was constructed. A total of 132 groups of injection tests were conducted for 6 materials. Due to the limited space, Ithebula 2 only lists some test data.

Linear regression analysis of the trial data

According to the test data, Δ PF and PF 1, Δ PF and Δ PF V, Δ PF, respectively, and melt temperature T, njengoba kuboniswe kuMfanekiso 3 kuFigure 5.

Scatter plot is one of the most effective graphical methods [6] to determine whether there are connections, patterns, or trends between 2 okuguquguqukayo kwezinombolo. Ngakho-ke, ukuqhathaniswa kokusatshalaliswa kokusabalalisa ku-Figure 3 kuFigure 5 ikhombisa ukuthi kukhona ukuhlobana okuqinile phakathi kwe-ΔPF ne-PF 1 (iphethini yamaphuzu ahleliwe incike ukusuka phansi kwesokunxele ukuya phezulu kwesokudla

Obkew, okusho ukuthi iPF 1 inani likhuphuka ngamavelu e-Δ PF, okusho ukuhlobana okuhle [5]), kuyilapho isivinini somjovo V kanye nezinga lokushisa elincibilikayo elingu-T licishe lihlotshaniswe.

I-Pearson's correlation coefficient kusayensi yemvelo isetshenziswa kabanzi ukukala izinga lokuhlobana phakathi kokuhlukahluka okubili., ngamanani aphakathi kuka-1 kanye 1. Pearl

I-coefficient esezingeni eliphansi ivame ukumelwa uhlamvu R, inani layo liyinegethivu libonisa ukuhlobana okunegethivu phakathi kokuguquguqukayo, nokuba njalo kukhombisa ukuhlobana okuhle, futhi likhulu inani eliphelele lika-R, kuphezulu ukuhlobana kwe 2 sets of data. Ngakho-ke, the Pearson correlation coefficient between the Δ PF and PF 1, V, T, futhi 3 data sets,

Fang, used to measure the degree of correlation between Δ PF and the 3 variables. R2=0.981, Δ PF and V number for 1 data sets for Δ PF and PF 1

According to R2=0.282 in the set and R2=0.534 in the T data set, the highest correlation was determined between Δ PF and PF 1, and then the number was found by minimizing the sum of squares of the error

Pressure loss coefficient of the segment. Based on the regression analysis method, for a large number of statistics

Data mathematical processing, determine the correlation between dependent variables and some independent variables, establish good correlation regression equation (function expression) [8], constructed the injection machine barrel injection pressure loss prediction mode, ingathuthukisa ukusetha kwengcindezi yomjovo kunqubo yesilingo, ukusiza ochwepheshe bathole ngokushesha ingcindezi yomjovo enengqondo kanye nengcindezi. Ngenxa yezimo zokuhlola ezinomkhawulo, i-coefficient yokulahlekelwa kwengcindezi yomjovo womjovo womjovo phakathi kwemishini ehlukene yokubumba umjovo ayifundwa futhi ihlaziywe, futhi akucaci phakathi kwe-coefficient yokulahlekelwa kwengcindezi yombhobho womjovo kanye nemingcele yemishini yomshini wokubumba umjovo.. Ngokujula kocwaningo, bayanda basemgqonyeni

Ngokusho kwendlela yokwenza kahle yezibalo yokumadanisa okuhle kakhulu komsebenzi [(7]

indlela encane yesikwele),

Izici ezinomthelela ezihlobene nokulahlekelwa kwengcindezi yomjovo zizombiwa ukuze ziphelele

Linganisa umsebenzi omuhle kakhulu wokufanisa we-Δ PF ne-PF 1 dataset to obtain the Δ PF about PF 1 expression:

ΔPF =0.410 1×PF1 （1）

Formula (1) can be used as a prediction model for the injection pressure loss in the barrel of the injection machine in the filling stage. In actual production, the injection pressure value in the barrel of the injection machine is easily obtained, so this model has wide applicability.

Ngokufanayo, according to the study test data, draw the scatter plot of the pressure holding stage, njengoba kuboniswe kuMfanekiso 6, and fit the best matching function of the pressure loss Δ PP in the barrel and the pressure injection pressure PP1 data set in the pressure holding stage:

ΔPP =0.258 9×PP1

The above studies show that the loss of injection pressure is not correlated with the injection speed and melt temperature, but is strongly associated with the injection pressure in the barrel, and can be determined by constructing (fx) =kx functionShooting pressure loss, x is the barrel injection pressure of the injection molding machine, and k is the pressureloss efficiency. Furthermore, equations (1) futhi (2) reveal the basic phenomenon of different injection pressure loss coefficient in the barrel during different injection stages (filling and pressure retention).

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For a long time, engineers have no research on the injection pressure loss in the barrel of the injection molding machine. Ngokuvamile, the flow simulation analysis generally only considers the pressure transfer in the mold, so that the estimation of the injection pressure deviates. A new pattern of injection pressure loss is revealed: Δ P =k P, Δ P =k P; lapho i-k k iyisinyathelo sokugcwalisa nokugcina ingcindeziI-coefficient yokulahlekelwa kwengxenye. Based on the regression analysis method, for a large number of statistics

Data mathematical processing, determine the correlation between dependent variables and some independent variables, sungula ukuhlobana okuhle kwesibalo sokuhlehla (function expression) [8], ukwakhiwa kwemodi yokubikezela ukulahlekelwa kwengcindezi yomjovo womgqomo, ingathuthukisa ukusetha kwengcindezi yomjovo kunqubo yesilingo, ukusiza ochwepheshe bathole ngokushesha ingcindezi yomjovo enengqondo kanye nengcindezi. Ngenxa yezimo zokuhlola ezinomkhawulo, i-coefficient yokulahlekelwa kwengcindezi yomjovo womjovo womjovo phakathi kwemishini ehlukene yokubumba umjovo ayifundwa futhi ihlaziywe, futhi akucaci phakathi kwe-coefficient yokulahlekelwa kwengcindezi yombhobho womjovo kanye nemingcele yemishini yomshini wokubumba umjovo.. Ngokujula kocwaningo, kuya ngokwandayo kusemgqonyeniIzici ezinethonya ezihlobene nokulahlekelwa kwengcindezi yomjovo zizombiwa ukuze zipheleleFuthi sithuthukise imodeli yokubikezela yokulahlekelwa kwengcindezi yomjovo emgqonyeni womshini wokubumba umjovo., futhi ikhuthaze ukuthuthukiswa kwesixazululi sengcindezi sesofthiwe yokuhlaziya ukulingisa kokugeleza, futhi ikhuthaze ukuzenzela kanye nokuthuthukiswa okukhaliphile kwendlela yokuthuthukisa inqubo yomjovo.

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