优化 3D 打印尼龙增强复合材料的双挤压熔融长丝制造工艺参数:移动和交通革命之路

IF 0.6 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
Ashish Kaushik, Pardeep Kumar, Sumit Gahletia, Ramesh Kumar Garg, Ashish Kumar, Mohit Yadav, J. Giri, Deepak Chhabra
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引用次数: 0

摘要

尼龙聚合物与凯夫拉纤维、玻璃纤维和高速高温(HSHT)玻璃纤维的最佳混合物具有更好的特性,如抗弯强度、耐磨性、电绝缘性、减震性和低摩擦系数。因此,以尼龙为基材,结合 HSHT、凯夫拉尔和玻璃纤维制造的聚合物复合材料将扩大尼龙在航空航天、汽车和与人体工程学工具、装配托盘等相关的其他工业应用中的用途。拟议的工作是利用双挤出系统研究尼龙聚合物中的连续纤维增强(CFR)。根据美国材料试验协会(ASTM)标准,采用面心中心复合设计(FCCD)方法设计了 20 个实验运行,以分析增强材料、填充模式和纤维角度等重要因素对制作试样的影响。使用万能试验机(UTM)和表面粗糙度测试仪对每个试样(ASTM)的拉伸强度、百分比伸长率和表面粗糙度进行了调查。利用响应面方法(RSM)得出了一组连接工艺输入因素和输出特性的回归方程。 此外,还采用了 MOGA-ANN 方法来实现多响应目标。结果表明,使用 MOGA-ANN 进化混合算法,64.5 度纤维角、玻璃纤维 CFR 和三角形填充图案可获得最佳拉伸强度和表面粗糙度,而 49.2575 度纤维角、矩形填充图案和玻璃纤维增强则可获得最佳平衡和最优响应。使用 MOGA-ANN 算法,在这些参数下可获得 1.43158 微米的最小表面粗糙度、37.869 兆帕的最大抗拉强度和 51.05% 的百分比伸长率,并通过实验进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Dual Extrusion Fused Filament Fabrication Process Parameters for 3D Printed Nylon-Reinforced Composites: Pathway to Mobile and Transportation Revolution
Nylon polymer with an optimal blend of Kevlar, fiberglass, and high-speed, high temperature (HSHT) Fiberglass offers improved characteristics such as flexural strength, wear resistance, electrical insulation, shock absorption, and a low friction coefficient. For this reason, the polymer composite manufactured by combining HSHT, Kevlar, and fiberglass with nylon as base material will expand the uses of nylon in the aerospace, automotive, and other industrial applications related to ergonomic tools, assembly trays, and so forth. The proposed work was carried out to investigate the continuous fiber reinforcement (CFR) in nylon polymer using a dual extrusion system. Twenty experimental runs were designed using a face-centered central composite design (FCCD) approach to analyze the influence of significant factors such as reinforcement material, infill pattern, and fiber angle on the fabricated specimen as per American Society for Testing Materials (ASTM) standards. The tensile strength, percentage elongation, and surface roughness of each test specimen (ASTM) have been investigated using the universal testing machine (UTM) and a surface roughness tester. A set of regression equations connecting process input factors and output features have been derived using the response surface methodology (RSM). In addition, the MOGA-ANN method is employed to achieve the multi-response targets. The results show that the best tensile strength and surface roughness are achieved with a 64.5-degree fiber angle, fiberglass CFR, and a triangular infill pattern, while the best balance and optimal response are achieved with a 49.2575-degree fiber angle, a rectangular fill pattern, and fiberglass reinforcement using the MOGA-ANN evolutionary hybrid algorithm. With MOGA-ANN, the least surface roughness of 1.43158 microns, maximum tensile strength, and percentage elongation of 37.869 MPa and 51.05% were attained at these parameters, and the same has been validated experimentally.
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来源期刊
SAE International Journal of Materials and Manufacturing
SAE International Journal of Materials and Manufacturing TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.30
自引率
12.50%
发文量
23
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