Development and Simulation of Constitutive Relationship of Fluorophlogopite Based on Improved JH-2 Model

doi:10.12068/j.issn.1005-3026.2024.06.011

Abstract

Abstract:

Based on the JH-2 theoretical model， an improved JH-2 discrete model for the finite element simulation of brittle materials is established， which is used to redevelop the client module of DEFORM software as a constitutive model. And the cutting force of engineering ceramics is simulated and analyzed. Through the fluorophlogopite turning test， the simulation effects of the JH-2 discrete model and J-C idealized model are compared. The effects of three process parameters， namely cutting speed， feed speed and cutting depth， on the cutting force simulation are analyzed. And the accuracy and reliability of the JH-2 model are verified. The test results show that the variation trend of the simulation value of cutting force is the same as that of the test value， and the precision is good. Compared with the J-C idealized model， the machining morphology of brittle materials simulated by the JH-2 discrete model is more consistent with the actual situation. Therefore， in the finite element research of engineering ceramics， the improved JH-2 discrete model has significant advantages over the J-C model in theoretical analysis and simulation prediction.

Key words: JH-2 model, brittle material, DEFORM software, secondary development, process parameter

CLC Number:

TH 161

Lian-jie MA, Xue-qiao YU, Zhi-bin HAN, Shuai PAN. Development and Simulation of Constitutive Relationship of Fluorophlogopite Based on Improved JH-2 Model[J]. Journal of Northeastern University(Natural Science), 2024, 45(6): 837-842.

Figures/Tables 11

Fig.1 Specific description of the JH-2 model

Fig.2 Relationship between volumetric strain and linear strain

Fig.3 Deformation diagram of each surface under load

Fig.4 Diagram of deflection load distribution of the simply supported beam

Fig.5 Pre?processing secondary development process

Table 1 Finite element simulation test conditions

组号

v_c

v_f

a_p

m·s^-1

mm·r^-1

1~13

14~24

25~35

0.63~1.26

0.94

0.08

0.05~0.15

0.08

0.1

0.05~0.15

Fig.6 Influence of cutting speed on cutting force

Fig.7 Influence of feed speed on cutting force

Fig.8 Influence of cutting depth on cutting force

Fig.9 Chip morphology comparison

Fig.10 Morphology of fluorophlogopite ceramic chips

References 18

1	Ma L J， Cai C Y， Tan Y Q，et al.Theoretical model of transverse and longitudinal surface roughness and study on brittle‑ductile transition mechanism for turning fluorophlogopite ceramic［J］.International Journal of Mechanical Sciences，2019，150：715-726.
2	Yıldız A， Kurt A， Yağmur S.Finite element simulation of drilling operation and theoretical analysis of drill stresses with the DEFORM-3D［J］.Simulation Modelling Practice and Theory，2020，104：102153.
3	Johnson G R， Cook W H.Fracture characteristics of three metals subjected to various strains，strain rates，temperatures and pressures［J］.Engineering Fracture Mechanics，1985，21（1）：31-48.
4	Johnson G R， Holmquist T J.An improved computational constitutive model for brittle materials［C］//AIP Conference Proceedings.Colorado：Springs，1994：981-984.
5	Baranowski P， Kucewicz M， Gieleta R，et al.Fracture and fragmentation of dolomite rock using the JH-2 constitutive model：parameter determination，experiments and simulations［J］.International Journal of Impact Engineering，2020，140：103543.
6	Seshadri R， Naveen I， Srinivasan S，et al.Finite element simulation of the orthogonal machining process with Al 2024 T351 aerospace alloy［J］.Procedia Engineering，2013，64：1454-1463.
7	Ma L J， Yu A， Chen J Q.Theoretical model of cutting force in turning the lithium disilicate glass‑ceramic［J］.The International Journal of Advanced Manufacturing Technology，2017，92（9/10/11/12）：4355-4366.
8	陈景强，马廉洁，孟博，等.氟金云母表面形成机理及表面粗糙度理论模型［J］.中国机械工程，2020，31（24）：2918-2923.
	Chen Jing‑qiang， Ma Lian‑jie， Meng Bo，et al.Surface formation mechanism and surface roughness theoretical model of fluorophlogopite［J］.China Mechanical Engineering，2020，31（24）：2918-2923.
9	Ma L J， Gong Y D， Chen X H.Study on surface roughness model and surface forming mechanism of ceramics in quick point grinding［J］.International Journal of Machine Tools and Manufacture，2014，77：82-92.
10	Ma L J， Li C， Chen J，et al.Prediction model and simulation of cutting force in turning hard‐brittle materials［J］.The International Journal of Advanced Manufacturing Technology，2017，91（1）：165-174.
11	马廉洁，田俊超，巩亚东，等.玻璃陶瓷车削表面形成机制及实验研究［J］.人工晶体学报，2016，45（6）：1639-1645.
	Ma Lian‐jie， Tian Jun‐chao， Gong Ya‐dong，et al.Formation mechanism and experimental study of surface in turning glass‐ceramics［J］.Journal of Synthetic Crystals，2016，45（6）：1639-1645.
12	Liu T， Ma L， Wang Y，et al.Removal mechanism of machinable ceramics and theoretical model of cutting force in turning operation［J］.Mechanical Sciences，2019，10（2）：429-436.
13	Shibata T， Fujii S， Makino E，et al.Ductile‐regime turning mechanism of single‑crystal silicon［J］.Precision Engineering，1996，18（2）：129-137.
14	Tamizharasan T， Senthil Kumar N.Optimization of cutting inserts geometry using DEFORM-3D：numerical simulation and experimental validation［J］.International Journal of Simulation Modelling，2012，11（2）：65-76.
15	Wu M W， Zhang S J， Ma S B，et al.Hot deformation behavior of Q345 steel and its application in rapid shear connection［J］.Materials，2019，12（13）：2186.
16	马廉洁，李琛，曹小兵，等.基于GA和DEFORM的陶瓷材料切削力数值模拟［J］.东北大学学报（自然科学版），2014，35（12）：1773-1777.
	Ma Lian‑jie， Li Chen， Cao Xiao‑bing，et al.Numerical simulation of cutting force based on GA and DEFORM in turning ceramics［J］.Journal of Northeastern University （Natural Science），2014，35（12）：1773-1777.
17	Kim H S， Oh S T， Lee J S.Constitutive model for cold compaction of ceramic powder［J］.Journal of the American Ceramic Society，2002，85（8）：2137-2138.
18	Liu Y X， Liu L S， Mei H，et al.A modified rate‐dependent peridynamic model with rotation effect for dynamic mechanical behavior of ceramic materials［J］.Computer Methods in Applied Mechanics and Engineering，2022，388：114246.

[1]	Ben YU, Dong-xiao WANG, Yu LIU, Jian-ping LI. Numerical Simulation and Experimental Study on Hot Oil Thermostatic Temperature Forming of AZ31 Magnesium Alloy Sheet [J]. Journal of Northeastern University(Natural Science), 2024, 45(2): 179-186.
[2]	WU Fei， LI Yi-neng， WANG Meng-hui. Research on Light-Curing Assisted Molding Process of Extrusion-based Ceramic 3D Printing [J]. Journal of Northeastern University(Natural Science), 2022, 43(9): 1283-1290.
[3]	JIAO An-yuan， ZHANG Guo-fu， DING Hao-dong， LIU Wei-jun. Experiment of Magnetic Abrasive Finishing on TC4 Titanium Alloy Hole [J]. Journal of Northeastern University Natural Science, 2020, 41(9): 1304-1310.
[4]	ZHANG Hua-wei， WANG Xin-gang， CHEN Xiao-hui， HOU Dong-xiao. Study on Process Parameters in Transverse Bending of Tailor Rolled Blanks [J]. Journal of Northeastern University Natural Science, 2019, 40(5): 728-733.
[5]	MA Xiao-ying， SUN Zhi-li， ZHANG Yi-bo， ZANG Xu. Optimization of Welding Process Parameters Based on Kriging-PSO Intelligent Algorithm [J]. Journal of Northeastern University Natural Science, 2019, 40(3): 370-375.
[6]	WEN Quan， ZHAO Yue， GONG Ya-dong， ZOU Ping. Optimization of Process Parameters for Small Hole Drilling of Carbon Fiber Reinforced Composites [J]. Journal of Northeastern University Natural Science, 2017, 38(7): 978-982.
[7]	SUN Hong-chun， WANG Hong-bao， XU Yong， XIE Li-yang. Optimization Method of Cutting Process Parameters for Dicing Saw [J]. Journal of Northeastern University Natural Science, 2017, 38(4): 531-535.
[8]	WANG Hong-tao， CHU Man-sheng， ZHAO Wei， LIU Zheng-gen. Effect of Process Parameters on the Compressive Strength of Iron Coke Hot Briquette [J]. Journal of Northeastern University Natural Science, 2016, 37(6): 810-814.
[9]	DING Hang-xing， REN Feng-yu， WANG Chun-xian， HAN Zhi-yong. Automatic Generation of Coordinate Parameter Table of Roadway in AutoCAD Environment [J]. Journal of Northeastern University Natural Science, 2015, 36(6): 872-875.
[10]	HUANG Jiang-hua， LIU Jin-ping， WANG Bao-yu， HU Zheng-huan. Effect of the Process Parameters on Surface Spiral in Cross Wedge Rolling of 4Cr9Si2 [J]. Journal of Northeastern University Natural Science, 2014, 35(12): 1778-1782.
[11]	WANG Wei， LIU Yongxian， FUH Jerry Ying Hsi. Effect of SLS Process Parameters on Sintering Quality for Composite Al2O3/ZrO2/SiO2 [J]. Journal of Northeastern University, 2013, 34(3): 417-420.
[12]	LI Fei， ZHU Qingfeng， LI Lei， CUI Jianzhong. Effects of Process Parameters on Primary Al3Zr Phase in AlZr Master Alloys [J]. Journal of Northeastern University(Natural Science), 2013, 34(12): 1739-1743.