| 引用本文: | 陈丰,曹春平,张蔚,孙宇.长纤维增强反应注射成型多指标工艺参数优化[J].材料科学与工艺,2011,19(3):37-42.DOI:10.11951/j.issn.1005-0299.20110307. |
| CHEN Feng,CAO Chun-ping,ZHANG Wei,SUN Yu.Optimization of parameters in Long Fiber Reinforced Reaction Injection Molding on multi-objective comprehensive evaluation[J].Materials Science and Technology,2011,19(3):37-42.DOI:10.11951/j.issn.1005-0299.20110307. |
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| 摘要: |
| 针对长纤维增强反应注射成型(LFR-RIM)工艺过程的复杂性、影响制品质量因素的多样性及制品质量评价标准不统一的问题,应用正交试验及模糊加权综合评价法研究了主要工艺参数对LFR-RIM制品综合质量(包括弯曲弹性模量、冲击韧性和翘曲变形量等)的影响,得到了最佳的成型工艺参数,即纤维含量30%、纤维长度25 mm、模具温度45℃、混合料温50℃、在模时间12 min、A料与B料配比1∶1.85,并进行了实际生产验证,结果表明,最佳工艺方案明显提高了产品的质量. |
| 关键词: 长纤维增强反应注射成型 正交试验 综合质量 参数优化 |
| DOI：10.11951/j.issn.1005-0299.20110307 |
| 分类号:TQ320.662 |
| 基金项目:南京理工大学自主科研专项计划资助项目(2010ZYTS001);安徽科技学院重点建设学科资助项目(AKXK20102-5) |
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| Optimization of parameters in Long Fiber Reinforced Reaction Injection Molding on multi-objective comprehensive evaluation |
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CHEN Feng1,2, CAO Chun-ping1, ZHANG Wei1, SUN Yu1
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1.School of Mechanical Engineering,Nanjing University of Science & Technology,Nanjing 210094,China;2.School of Engineering,Anhui Science and Technology University,Bengbu 233100,China
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| Abstract: |
| For the complexity of Long Fiber Reinforced Reaction Injection Molding(LFR-RIM) process,and the diversity of factors influencing part quality and the multiformity of quality evaluation standards,the influences of process parameters on the comprehensive quality(flexural elastic modulus,impact toughness and warpage deformation) of LFR-RIM product were studied by means of adopting orthogonal experimental method and comprehensive valuation equation of fuzzy weight.The optimized parameters were obtained and validated,i.e.the fiber content C=30%,fiber length D=25 mm,mold temperature E=45 ℃,mixture temperature F=30 ℃,the module time G=12 min,the ratio of A material and B material H=1∶ 1.85.The results showed that the optimized parameters can improve product quality and production efficiency,and reduce production costs. |
| Key words: Long Fiber Reinforced Reaction Injection Molding orthogonal experiment comprehensive quality process optimizations |
