journal article·2018-10

Accurate predictions of fiber orientation and mechanical properties in long‐fiber‐reinforced composite with experimental validation

Huan‐Chang Tseng, Masato Goto, Rong‐Yeu Chang, Chia‐Hsiang Hsu

Polymer Composites· Volume 39· Issue 10
Publisher page

Abstract

Mechanical performance of lightweight automotive materials made of long fiber‐reinforced thermoplastic composites is potentially superior to that of short fiber. However, accurate prediction of fiber orientation is critical for determining reliable mechanical properties. Thus, we investigate the representative fiber orientation models under simple shear flow and discuss in regard to a variety of long fiber suspensions. In addition, the laminate orientation structure of skin–shell–core pattern predicted in 3D injection molding simulation is quantitatively compared with experimental data measured via the micro‐computed tomography. Significantly, we show the effect of fiber orientation states on mechanical properties, including tensile modulus and stress–strain response. POLYM. COMPOS., 39:3434–3445, 2018. © 2017 Society of Plastics Engineers
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Composite Material Mechanics · Innovations in Concrete and Construction Materials · Epoxy Resin Curing Processes

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

CoreTech System (Moldex3D) Co., Ltd. ChuPei City Hsinchu County 30265 Taiwan

SAEILO JAPAN.Inc Kasukabe Saitama 344‐0062 Japan

References (50)

Show source-provided references
1. B.N.Nguyen L.S.Fifield A.Yocum andC.Schutte Predictive Engineering Tools for Injection‐Molded Long‐Carbon‐Fiber Thermoplastic Composites FY 2014 Annual Progress Report—Lightweight Materials Pacific Northwest National Laboratory (PNNL) the U.S. Department of Energy 192 (2014).https://energy.gov/sites/prod/files/2015/07/f24/DOE%20VTO%202014%20Materials%20Annual%20report.pdf
2. V.Kunc C.D.Warren A.Yocum C.Schutte andE.Owens Predictive Engineering Tools for Injection‐Molded Long‐Carbon‐Fiber Thermoplastic Composites FY 2014 Annual Progress Report‐Lightweight Materials Oak Ridge National Laboratory (ORNL) the U.S. Department of Energy 206(2014).https://energy.gov/sites/prod/files/2015/07/f24/DOE%20VTO%202014%20Materials%20Annual%20report.pdf
3. V.Kunc C.D.Warren A.Yocum andC.Schutte Predictive Engineering Tools for Injection‐Molded Long‐Carbon‐Fiber Thermoplastic Composites FY 2015 Annual Progress Report‐Lightweight Materials Oak Ridge National Laboratory (ORNL) the U.S. Department of Energy 224(2015).https://energy.gov/sites/prod/files/2016/09/f33/Lightweight%20Materials%20-%202015%20Annual%20Report.pdf
4. 10.1201/978143982273910.1201/9781439822739 ↗
5. K.C.Ortman N.Agarwal D.G.Baird P.Wapperom andA.J.Giacomin “Transient shear rheology of long glass fiber filled polypropylene using a sliding plate rheometer ” inMacromolecules and Interfaces Institute Technical Conference and Review Virginia USA (2010).
6. 10.1016/j.jnnfm.2011.04.00710.1016/j.jnnfm.2011.04.007 ↗
7. K.J.MeyerandD.G.Baird “Progress on Simulating Long‐Glass Fiber Orientation in Complex Molding Geometries ” inSPE ANTEC Conference Technical Papers Orlando USA (2012).
8. 10.1002/pc.2241710.1002/pc.22417 ↗
9. 10.1016/j.jnnfm.2014.10.01210.1016/j.jnnfm.2014.10.012 ↗
10. M.J.Cieslinski “Using a Sliding Plate Rheometer to Obtain Material Parameters for Simulating Long Fiber Orientation in Injection Molded Composites ” Ph.D. Thesis Virgina Polytechnic Institute and State University (2015).
11. 10.1122/1.471749610.1122/1.4717496 ↗
12. 10.1177/089270571558441110.1177/0892705715584411 ↗
13. 10.1002/pen.76032040410.1002/pen.760320404 ↗
14. 10.1016/j.compscitech.2004.03.00310.1016/j.compscitech.2004.03.003 ↗
15. 10.1177/07316844840030020110.1177/073168448400300201 ↗
16. 10.1122/1.54994510.1122/1.549945 ↗
17. 10.1016/j.jnnfm.2008.08.00210.1016/j.jnnfm.2008.08.002 ↗
18. 10.1122/1.294643710.1122/1.2946437 ↗
19. 10.3139/217.304710.3139/217.3047 ↗
20. B.N.Nguyen L.S.Fifield S.A.Kijewski M.D.Sangid J.Wang F.Costa C.L.TuckerIII R.N.Mathur U.N.Gandhi andS.Mori Predictive Engineering Tools for Injection‐Molded Long‐Carbon‐Fiber Thermoplastic Composites FY 2015 Second Quarterly Report the U.S. Department of Energy Pacific Northwest National Laboratory PNNL‐24259 (PNNL Report under Contract DE‐AC05‐76RL01830) (2015).http://www.pnnl.gov/main/publications/external/technical_reports/PNNL-24259.pdf10.2172/1183627 ↗
21. J.Wang B.N.Nguyen R.Mathur B.Sharma M.D.Sangid F.Costa X.Jin C.L.TuckerIII andL.S.Fifield “Fiber Orientation in Injection Molded Long Carbon Fiber Thermoplastic Composites ” inSPE ANTEC Conference Technical Papers Orlando USA (2015).
22. J.vanHaag C.Bontenackels andC.Hopmann “Fiber Orientation Prediction of Long Fiber‐Reinforced Thermoplastics: Optimization of Model Parameters ” in:SPE ANTEC Conference Technical Papers Orlando USA (2015).
23. 10.1002/pc.2226210.1002/pc.22262 ↗
24. 10.1007/s00397-007-0194-710.1007/s00397-007-0194-7 ↗
25. H.M.Huynh “Improved Fiber Orientation Predictions for Injection Molded Composites ” Master Thesis University of Illinois at Urbana‐Champaign (2001).
26. C.L.TuckerIIIandH.M.Huynh “Fiber Orientation in Short Flow Length Parts: Limitations of Current Predictions ” in:Proceedings of the 17th Annual Meeting of the Polymer Processing Society Montreal Quebec Canada (2001).
27. J.Wang C.L.TuckerIII J.F.O'Gara andG.DeBarr “Improved Fiber Orientation Predictions for Injection‐Molded Composites ” in:Proceedings of the 20th Annual Meeting of the Polymer Processing Society Akron Ohio USA (2004).
28. H.‐C.Tseng R.‐Y.Chang C.‐H.Hsu US Patent 8 571 828 (2013).
29. 10.1122/1.482103810.1122/1.4821038 ↗
30. 10.1122/1.493909810.1122/1.4939098 ↗
31. H.‐C.Tseng R.‐Y.Chang C.‐H.Hsu U.S. Patent 9 283 695 (2016).
32. 10.1002/pc.2271010.1002/pc.22710 ↗
33. T.B.Nguyen Thi A.Yokoyama S.Hamanaka K.Yamashita andC.Nonomura “Advanced Fiber Orientation Prediction for High Filler Content Short‐Fiber/Thermoplastic Composites ” in: Proceedings of the Polymer Processing Society 32th Annual Meeting Lyon France (2016).
34. S.Goris C.Herchert C.Perez andT.Osswald “D‐lft Molding Simulation—Verification of a New Model for Fiber Orientation Prediction ” in:SPE ANTEC Conference Technical Papers Cincinnati Ohio USA (2013).
35. 10.1177/002199830809921910.1177/0021998308099219 ↗
36. 10.1177/105678950933831910.1177/1056789509338319 ↗
37. Wonisch A. · Kunststoffe Int. · 2014 · 80
38. Bird R.B. · 1987
39. 10.1007/978-3-642-21263-510.1007/978-3-642-21263-5 ↗
40. B.E.VerWeyst “Numerical Predictions of Flow‐Induced Fiber Orientation in Three‐Dimensional Geometries ” Ph.D. Thesis University of Illinois at Urbana‐Champaign (1998).
41. 10.1122/1.142331210.1122/1.1423312 ↗
42. 10.1002/pen.76035220310.1002/pen.760352203 ↗
43. 10.1007/BF0152035710.1007/BF01520357 ↗
44. 10.1002/fld.16610.1002/fld.166 ↗
45. B.N.Nguyen L.S.Fifield A.Yocum andC.Schutte Predictive Engineering Tools for Injection‐Molded Long‐Carbon‐Fiber Thermoplastic Composites FY 2015 Annual Progress Report‐Lightweight Materials Pacific Northwest National Laboratory (PNNL) the U.S. Department of Energy 241(2015).https://energy.gov/sites/prod/files/2016/09/f33/Lightweight%20Materials%20-%202015%20Annual%20Report.pdf
46. 10.1002/cjce.545080061110.1002/cjce.5450800611 ↗
47. 10.1002/pen.76023130910.1002/pen.760231309 ↗
48. Moldex3D · 2017
49. N.Nguyen X.Jin J.Wang V.Kunc C.L.TuckerIII Validation of New Process Models for Large Injection‐Molded Long‐Fiber Thermoplastic Composite Structures the U.S. Department of Energy Pacific Northwest National Laboratory PNNL‐21165 (PNNL Report under Contract DE‐AC05‐76RL01830) (2012).http://www.pnnl.gov/main/publications/external/technical_reports/PNNL-21165.pdf
50. F.S.Costa P.S.Cook D.Pickett “A Framework for Viscosity Model Research in Injection Molding Simulation Including Pressure and Fiber Orientation Dependence ” in SPE ANTECConference Technical Papers Orlando USA (2015).