In this modern era, the natural fibers usage in automobile and construction sectors has been increased. The goal of the current work was to investigate the fiber orientation effect on dynamic mechanical properties of hybrid Pineapple Leaf Fibre (PALF) hybridized with basalt reinforced epoxy composite at changing vibration frequencies. Hand Lay-up technique was used to manufacture the composites by keeping the unidirectional basalt fabric as an outer layer by keeping PALF as inner layer followed by static compression method. Tensile and flexural moduli were also determined apart from storage modulus (E′) and damping factor (tan δ) for different PALF fiber angles. The results exemplified that not only the storage modulus and loss factor but also glass transition temperature (Tg) as well found to increase with frequency and also the fiber orientation angle has a greater impact on dynamic and static properties.
This study presents the wear behavior of 316L stainless steel material machined with wire electric discharge machine (EDM) at different machining conditions by varying the machining parameters pulse on time (T ON), peak current (IP), servo voltage (SV) and wire tension (WT). Sliding wear tests are conducted on the cylindrical specimens using pin on disc apparatus and the worn morphology of the specimens are analyzed by SEM and XRD. The experimental investigation revealed that the wear resistance is highly influenced by the wire EDM parameters. T ON and IP are identified to be the most influencing factors effecting wear resistance. At similar values of the product of T ON and IP, the wear resistance remained constant and the wear resistance increased with decrease in the product of T ON and IP. The obtained parameters setting can be used in die making industries where wear behavior is of importance.
The statistical mathematical models are developed to investigate the influence of cutting parameters on surface roughness, tool wear, cutting force, tangential force and the work piece vibration in boring of AISI 4340 steels. A full factorial design of experiments is used to conduct 27 experiments on AISI 4340 as the work piece material and TiCN-Al 2 O 3-TiN multi-layered coated carbide inserts. Online data acquisition of cutting forces on the cutting tool and the work piece vibrations are measured by using piezo-electric dynamometer and laser Doppler vibrometer, respectively. This paper proposes optimization method using grey relational analysis (GRA) and predictive models like support vector machine and response surface method are used to predict the GRG values and optimize the machining parameters. The GRA is used for converting multi response optimization problem into optimization of single objective of grey relational grade (GRG). Finally confirmation test was performed and also optimized the machining parameters to minimize the surface roughness (Ra), tool wear (VB), cutting force (Fx), tangential force (Fz) and work piece vibration (VA).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.