|Author's Email Address
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||Mechanical and Electro-Mechanical Engineering|
|Type of Document
||Fatigue Response of Centrally Notched APC-2 Composite Laminates at Elevated Temperature|
|Date of Defense
strength and Life prediction.
||This thesis was concerned on the investigation of mechanical properties of centrally notched and unnotched AS-4/PEEK (APC-2) composite laminates due to static tensile and tension-tension (T-T) fatigue tests empirically and systematically. Then, statistical analyses were used to determine and quantify the significant thermomechanical variables that influence the durability/life of the composite laminates.|
Typical laminates were made from sixteen prepregs of APC-2 and manufactured by a modified curing process. After drilling one hole with various diameters in the center of the samples respectively, the lay-ups were conducted on tension fracture and T-T fatigue test at different temperatures. From the parametric study we achieved the important results as follows. The cross-ply laminate possesses the higher ultimate strength, fatigue strength and longitudinal stiffness than those of the quasi-isotropic at the same temperature. Notch effect decays the laminate strength seriously, but changes the stiffness irregularly. As test temperature rising both strength and stiffness of lay-ups degrade significantly. Combining both effects of notch and temperature under severe environmental condition, it is found the cross-ply laminate possesses more resistance than that of the quasi-isotropic to cyclic loading. However, the quasi-isotropic laminate is more capable of sustaining the original strength than that of the cross-ply.
Finally, the multiple regression analysis results showed that the hygrothermal environmental effects and cyclic loading were decoupled for APC-2 composite system. A semi-empirical model, reliably set up after the said programs, predicts conservative values, and should be adequate for use in preliminary designs. That is the main contribution in this study. Also, for the purposes of design and application, the predicted models efficiently treat experimental data instead of conventional curve-fitting methods.
||Ming-Chuen Yip - chair|
Jao-Hwa Kuang - co-chair
Chorng-Fuh Liu - co-chair
Bor-Tsuen Wang - co-chair
Chi-Hui Chien - co-chair
Ming Chen - co-chair
Jiun-Ren Hwang - co-chair
Ting-Kuei Hwang - co-chair
Ming-Hwa R. Jen - advisor
indicate in-campus access in a year and off_campus not accessible|
|Date of Submission