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拼焊板方盒件拉深成形變壓邊力曲線預(yù)測

發(fā)布時(shí)間:2018-10-19 19:07
【摘要】:隨著汽車數(shù)量的增加,石油能源的消耗也越來越大,如今為解決世界性能源問題,降低汽車油耗已成為當(dāng)今汽車制造商的主要追求目標(biāo)之一。拼焊板成形技術(shù)在汽車上的成功應(yīng)用有效地降低了車身重量,大大提高了能源利用率,符合當(dāng)今社會對節(jié)能環(huán)保的要求。然而拼焊板的成形比普通單板的成形更復(fù)雜,因此近年來眾多學(xué)者對拼焊板的成形技術(shù)進(jìn)行了大量的研究。本文以拼焊板方盒形件為研究對象,利用有限元分析軟件DYNAFORM對同材異厚的拼焊板方盒形件拉深成形過程進(jìn)行數(shù)值模擬分析研究。首先利用正交試驗(yàn)極差分析確定了對拼焊板方盒形件成形中出現(xiàn)的起皺、破裂、焊縫移動這三種常見缺陷的主要影響因素,并得到了提高拼焊板方盒形件拉深成形性能各影響因素的最優(yōu)組合;然后通過有限元分析找到了一種較優(yōu)的變壓邊力曲線加載方式來提高拼焊板成形性能,并結(jié)合研究結(jié)果提出了存在一條最優(yōu)的壓邊力曲線加載方式,能保證拼焊板方盒形件成形時(shí)不產(chǎn)生起皺破裂,而且焊縫移動量最小的設(shè)想,并通過有限元模擬分析進(jìn)行了初步驗(yàn)證。建立了拼焊板方盒形件拉深成形過程變壓邊力預(yù)測的BP神經(jīng)網(wǎng)絡(luò)模型,實(shí)現(xiàn)了對不同模具結(jié)構(gòu)、不同料厚比、不同材料情況下較優(yōu)壓邊力加載曲線的預(yù)測。通過對比神經(jīng)網(wǎng)絡(luò)的預(yù)測結(jié)果與模擬分析得到的結(jié)果,發(fā)現(xiàn)吻合較好,而且相對誤差在20%以內(nèi)。
[Abstract]:With the increase of the number of cars, the consumption of petroleum energy is increasing. Nowadays, to solve the global energy problem, reducing automobile fuel consumption has become one of the main goals of automobile manufacturers. The successful application of TWB forming technology in automobile can effectively reduce the weight of car body and greatly improve the energy utilization ratio, which is in line with the requirements of energy saving and environmental protection in today's society. However, the forming of TWBs is more complex than that of common veneers, so in recent years, many scholars have done a lot of research on the forming technology of TWBs. In this paper, the square box part of TWFW plate is taken as the research object, and the numerical simulation analysis of the drawing process of the square box part of the TWTW plate with different thickness is carried out by using the finite element analysis software DYNAFORM. Firstly, by using orthogonal test range analysis, the main factors affecting the three common defects, such as wrinkling, cracking and weld moving, are determined. The optimum combination of factors affecting the forming performance of square box parts is obtained, and then a better loading method of variable blank force curve is found through finite element analysis to improve the forming performance of TWBs. Combined with the research results, an optimal loading mode of the blank holding force curve is put forward, which can ensure that the square box part of the TWW plate does not wrinkle and break and the welding seam movement is minimum. The results are preliminarily verified by finite element simulation analysis. The BP neural network model for predicting the variable blank holder force in the deep drawing process of square box part of TWB plate is established. The prediction of the optimal blank holder force loading curve under different die structure, different material thickness ratio and different material is realized. By comparing the prediction results of neural networks with those obtained by simulation analysis, it is found that the results are in good agreement and the relative error is less than 20%.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TG386

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