作者
Jie Xiao,Jinliang Cheng,C. H. Fang,Wentao Shi,Yuanhua Lin
摘要
Abstract Solid impurities in natural gas pipelines cause severe erosion damage to pipelines. To predict and prevent erosion accidents in pipeline steels during gas transportation, this study conducted gas–solid erosion experiments on X80, X65, and X42 pipeline steels using an ASTM G76-compliant air jet experimental apparatus. The erosion patterns under varying impact angles (30 deg–90 deg) and velocities (45–72 m/s) were systematically compared, and erosion mechanisms were further analyzed through scanning electron microscopy (SEM) and three-dimensional profilometry. The erosion rates of X80, X65, and X42 pipeline steels followed consistent trends: rates decreased with the increasing impact angles and increased with impact velocity. The macroscopic erosion morphology transitioned from elliptical to circular as impact angles increased, while material removal mechanisms gradually shifted from plowing to compaction and cracking, with impact velocity having no effect on macroscopic morphology. The material type affects both erosion depth and removal mechanism effectiveness. Under identical conditions, erosion depths for X80, X65, and X42 were 117.1 ± 3 µm, 127.1 ± 3 µm, and 130.4 ± 2 µm, respectively. X42 exhibited the largest wear volume, X65 intermediate, and X80 the smallest. X80 exhibited the shortest and narrowest plowing grooves, along with the shallowest compaction-induced crater depths and fewest cracks. The erosion behavior of X80, X65, and X42 aligns with the general principles of typical ductile materials, with X80 demonstrating the best erosion-wear resistance among the three steels. Erosion rate equations for X80, X65, and X42 pipeline steels were established, and nozzle-erosion chamber computational fluid dynamics (CFD) erosion models were developed to validate the equations. The relative errors remained within acceptable tolerance limits, providing critical support for gas–solid erosion simulations of pipeline steels in complex flow fields using CFD.