Investigation of optimal lamination condition of CFRTP by compression molding method and a comparison of mechanical properties with CFRTS

Abstract

The variables of die temperature, pressure, time, lamination method, and forming count are applied to fabricate thermosoftening CFRP (CFRTP) with compression molding method. The mechanical properties of CFRTP are compared with those of thermosetting CFRP (CFRTS). The first lamination method is that one hotmelt is inserted into carbon fiber (five carbon fibers and four hotmelts). The optimal lamination conditions are the die temperature of 220°C, pressure of 6 MPa, and pressurization time for 10 min. The tensile strength of CFRTP of this lamination method is 400 MPa. For higher tensile strength value, the second lamination method was applied. CFRTP prepreg was prepared with one hotmelt and one carbon fiber by applying die temperature at optimal lamination conditions. Five CFRTP prepregs were laminated under the same conditions. When the CFRTP sheet was three formings, the tensile strength of 494 MPa could be obtained. CFRTS are prepared by laminating the epoxy prepregs at 140°C with the compressive pressure of 0.5 MPa for 30 min. CFRTP sheet has the lower tensile strength than CFRTS sheet by 223 MPa, but the flexural strength was higher by 61 MPa and by 1.0 J/cm2 for Charpy impact test.

Numerical simulation for expansion of preform and optimization of preform in thermoset composites

“…In the equation ( 21), b is the deceleration factor. In this paper, b = 1, the solution can be solved by bringing equations ( 11), (12), and (17) into the equation (21).…”

“…Sorrentino and Bellini 20 researched the hot drape forming process for preforming, which improved the wrinkles and irregular thickness. Kim et al 21 evaluated the effect of different molding conditions on the mechanical properties of composite materials, and the optimized molding process parameters were obtained after experimental comparison. Di et al 22 proposed that the maximum initial contact area was the main criterion for establishing the precompression direction based on the grid data of the cover, and established the algorithm model with the direction vector as a variable, then developed the corresponding module which could determine the precompression direction quickly.…”