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2017, 01, v.24 200-206
熔融沉积(FDM) 3D打印成形件的力学性能实验研究
基金项目(Foundation): 国家自然科学基金资助项目(51375425);; 燕山大学研究生课程建设经费资助项目(SF201414);燕山大学研究生创新资助项目(2015XJSS002);; 河北省研究生创新资助项目(2016SJSS033)
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发布时间: 2017-03-01
出版时间: 2017-03-01
网络发布时间: 2017-03-01
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摘要:

为提高不同填充率的制品力学性能,采用打印精度更高的类Delta并联式打印机,以较优固定参量实施应用广泛的熔融沉积(FDM)3D打印工艺,制备了不同填充率PLA耗材实验试件,并分别做了拉伸、弯曲和压缩实验,得到了较优的拉伸、压缩应力-应变曲线和弯曲载荷-位移曲线。同时开展了3D打印试件的抗拉强度、断裂伸长率、抗拉刚度、所承受的最大弯曲载荷和抗压强度研究。结果显示,填充率是影响3D打印试件变形失效和力学性能的关键因素,随着填充率的增加,试件的强度和刚度明显提高,而且同心线填充试件抗拉强度和断裂伸长率最大,直线形填充的刚度要优于同心线填充和格子形填充的刚度。

Abstract:

Aimed at the problem of how to improve the mechanical properties of products with different filling rates,by using Delta parallel printer which has higher print accuracy and a fixed parameter in fused deposition modeling( FDM) of 3D printing technology,test specimens of PLA material with different filling rates were obtained. The tensile,bending and compression experiments were conducted respectively,and the better stress-strain curves under tensile and compression states and load-displacement curves under bending state were obtained. Meanwhile,the tensile strength,elongation at break,tensile stiffness,the maximum bending under load and compressive strength of the 3D printing specimens were researched. The results show that the filling rate is the key factors for 3D printing specimen deformation failure,with the increase of filling ratio,specimen strength and stiffness increase significantly,the tensile strength and elongation at break of concentric line filling specimens are the maximum,and the stiffness of linear filling is superior to the concentric line and lattice filling.

参考文献

[1]李涤尘,田小永,王永信,等.增材制造技术的发展[J].电加工与模具,2012,(S1):20-22.LI Dichen,TIAN Xiaoyong,WANG Yongxin,et al.Developments of additive manufacturing technology[J].Electromachining&Mould,2012,(S1):20-22.

[2]WEST A P,SAMBU S P,ROSEN D W.A process planning method for improving build performance in stereolithography[J].Comput.Aided Des.,2001,33(1):65-79.

[3]DUDEK P.FDM 3D printing technology in manufacturing composite elements[J].Arch.Metall.Mater.,2013,58(4):1415-1418.

[4]PARK J,TARI M J,HAHN H T.Characterization of the laminated object manufacturing(LOM)process[J].Rapid Prototyp.J.,2000,6(1):36-50.

[5]KRUTH J P,WANG X,LAOUI T,et al.Lasers and materials in selective laser sintering[J].Assem Autom,2003,23(4):357-71.

[6]陈雪芳,张永康.基于改进BP神经网络的FDM成形工艺参数反演[J].组合机床与自动化加工技术,2011,(6):48-51.CHEN Xuefang,ZHANG Yongkang.The back analysis of technological parameters for FDM using improved BP neural network[J].Modular Machine Tool&Automatic Manufacturing Technique,2011,(6):48-51.

[7]KAIN A,MUELLER C,REINECKE H.High aspect ratio-and3D-printing of freestanding sophisticated structures[J].Procedia Chemistry,2009,1:750-753.

[8]CHU J,ENGELBRECHT S,GRAF G,et al.A comparison of synthesis methods for cellular structures with application to additive manufacturing[J].Rapid Prototype Journal,2010,16(4):275-283.

[9]GALANTUCCI L M,LAVECCHIA F,PERCOCO G.Experimental study aiming to enhance the surface finish of fused deposition modeled parts[J].CIRP Annals-Manufacturing Technology,2009,58:189-192.

[10]DUDEK P.FDM 3D printing technology in manufacturing composite elements[J].Arch Metall Mater,2013,58(4):1415-1418.

[11]MARCINCINOVA L N,MARCINCIN J N,BARNA J,et al.Special materials used in FDM rapid prototyping technology application[C]//Proceedings of IEEE 16th International Conference on Intelligent Engineering Systems(INES).Lisbon,2012:73-76.

[12]SUNG-HOON A,MICHAEL M,DAN O,et al.Anisotropic material properties of fused deposition modeling ABS[J],Rapid Prototyp.,2002,8(4):248-257.

[13]DURRGUN I,ERTAN R.Experimental investigation of FDM process for improvement of mechanical properties and production cost[J].Rapid Prototyping Journal,2014,20(3):228-235.

[14]CHOCKALINGAMA K,JAWAHARA N,CHANDRASEKARB U,et al.Establishment of process model for part strength in stereolithography[J].Journal of Materials Processing Technology,2008,208:348-365.

[15]GALANTUCCI L M,LAVECCHIA F,PERCOCO G.Study of compression properties of topologically optimized FDM made structured parts[J].CIRP Annals-Manufacturing Technology,2008,57,243-246.

[16]SPIK E,GAJDOI,SLOTAJ.Optimization of FDM prototypes mechanical properties with path generation strategy[J].Applied Mechanics and Materials,2014,474:273-278.

[17]赵峰,李涤尘,靳忠民,等.PEEK熔融沉积成形温度对零件拉伸性能的影响[J].电加工与模具,2015,(5):43-47.ZHAO Feng,LI Dichen,JIN Zhongmin,et al.Effect of PEEK fused deposition modeling temperature on tensile properties of parts[J].Electromachining&Mould 2015,(5):43-47.

[18]NING F D,CONG W L,QIU J J,et al.Additive manufacturing of carbon fiber reinforced thermoplastic composites using fused deposition modeling[J].Composites Part B,2015,80:369-378.

[19]GABOR F.Micro/nano Biofabrication:Micro-and Nano-fabrication[C]//Printing,Patterning and Assemblies.New York:William Andrew,2013.

[20]JAE-WON C,FRANCISCO M,CHIYEN K,et al.Development of a mobile fused deposition modeling system with enhanced manufacturing flexibility[J].Journal of Materials Processing Technology,2011,3:424-432.

[21]ASTM D638—2010,Standard test method for tensile properties of plastics[S].

[22]ASTM D790—2010,Standard test methods for flexural properties of unreinforced and reinforced plastics and electrical insulating materials[S].

[23]ASTM D6108-2013,Test method for compressive properties of plastic lumber and shapes[S].

[24]卢子兴.聚氨酯泡沫塑料拉伸本构关系及其失效机理的研究[J].航空学报,2002,23(2):151-154.LU Zixing.Investigation into the tensile constitutive relation and failure mechanism of PUR foamed plastics[J].Acta Aeronautica ET Astronautica Sinica,2002,23(2):151-154.

[25]惠红波,蔡晓东.塑料弯曲强度测量的不确定度评估[J].理化检验(物理分册),2008,44(3):134-149.HUI Hongbo,CAI Xiaodong.Evaluation of the uncertainty for the measurement of plastics flexural strength[J].Physical Testing and Chemical Analysis(Part A:Physical Testing),2008,44(3):134-149.

基本信息:

中图分类号:TP391.73

引用信息:

[1]高士友,黎宇航,周野飞,等.熔融沉积(FDM) 3D打印成形件的力学性能实验研究[J].塑性工程学报,2017,24(01):200-206.

基金信息:

国家自然科学基金资助项目(51375425);; 燕山大学研究生课程建设经费资助项目(SF201414);燕山大学研究生创新资助项目(2015XJSS002);; 河北省研究生创新资助项目(2016SJSS033)

发布时间:

2017-03-01

出版时间:

2017-03-01

网络发布时间:

2017-03-01

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