Continuous fiber reinforced thermoplastic composites with advantages of high strength, long life, corrosion resistance, and green recyclability have been widely used in aerospace, transportation and high-precision processing equipment, etc. 3D printing is an advanced additive manufacturing technology that enables the rapid manufacture of complex structures and high-performance composites. The aim of this study is to evaluate the precision and stability of 3D printed continuous fiber reinforced thermoplastic composite structures and construct suitable mathematical models to predict tensile properties. Samples evaluated in this study were produced by varying the volume fraction and distribution mode (average and central mode) of fibers within the printed structures. The measured data proved the continuous fiber reduced the printing precision on width and thickness and the printing stability on thickness, while it improved the width stability in the XY horizontal plane. The printing precision and stability of samples with an average mode were slightly better than those of samples with a central mode. The tensile results of 3D printed continuous fiber reinforced thermoplastic composites demonstrated that an increasing volume of fiber reinforcement resulted in the increasing stiffness and ultimate strength of tested samples. The average elastic modulus and ultimate tensile strength of samples with the average mode were higher than those of samples with the central mode, while the average strain at break was quite the opposite. Mathematical models of elastic modulus were established to achieve the relative errors 0.06% and 2.14% for checked samples, while relative errors of the mixing rule were up to 76.15% and 81.71%, respectively. Some typical defects affecting the surface quality and the fracture behavior of 3D printed samples were researched by the analysis of micromorphology.

具有高强度，长寿命，耐腐蚀和绿色可回收性等优点的连续纤维增强热塑性复合材料已广泛用于航空航天，运输和高精度加工设备等。3D打印是一种先进的增材制造技术，可实现快速制造复杂的结构和高性能的复合材料。这项研究的目的是评估3D打印的连续纤维增强热塑性复合材料结构的精度和稳定性，并构建合适的数学模型来预测拉伸性能。通过改变印刷结构中纤维的体积分数和分布模式（平均和中心模式）来生产本研究评估的样品。测量数据证明，连续纤维降低了宽度和厚度上的印刷精度，降低了厚度上的印刷稳定性，同时提高了在XY水平面上的宽度稳定性。具有平均模式的样品的打印精度和稳定性比具有中心模式的样品的打印精度和稳定性稍好。3D打印连续纤维增强热塑性复合材料的拉伸结果表明，纤维增强体积的增加导致测试样品的刚度和极限强度提高。具有平均模式的样品的平均弹性模量和极限拉伸强度高于具有中心模式的样品的平均弹性模量和极限拉伸强度，而断裂时的平均应变却相反。建立了弹性模量的数学模型，使被检样品的相对误差达到0.06％和2.14％，而混合规则的相对误差分别达到了76.15％和81.71％。通过微观形貌分析研究了一些影响3D打印样品表面质量和断裂行为的典型缺陷。