It has been established that turning process on a lathe exhibits low dimensional chaos. This study reports the results of nonlinear time series analysis applied to sensor signals captured real time. The purpose of this chaos analysis is to differentiate three levels of flank wears on cutting tool inserts-fresh, partially worn and fully wornutilizing the single value index extracted from the reconstructed chaotic attractor; the correlation dimension. The analysis reveals distinguishable dynamics of cutting characterized by different values for the dimension of the attractor when different quality tool inserts are used. This dependence can be effectively utilized as one of the indicators in tool condition monitoring in a lathe. This paper presents the experimental results and shows that tool vibration signals can transmit tool wear conditions reliably.
Bendable Concrete commonly known as Engineered Cementitious Composite (ECC) is an ultra-ductile concrete with strain-hardening and multiple-cracking behaviour in tension and flexure. Over the last decade, enormous strides have been made in creating Bendable Concrete with extreme tensile ductility. In the present project strength characteristics of different Bendable concrete mixtures are evaluated by incorporating supplementary cementitious materials such as fly ash and recronfiber. In the present work bendable concrete is high in flexural strength compared with conventional concrete. In flexure, concrete is weak bendable concrete shows effective results on flexural values by partial replacing cement with fiber-recron fiber and flyash is partially replaced with cement by different percentages 10% 20% and 30%. The mix shows different strength for percentages of fly ash and dose of recron fiber in each mix
17-4 PH stainless steel is used as internal drive shaft material in liquid engine pumps. One of the drive shafts failed during operation. The shaft pieces were in contact for short duration after failure, which has resulted in abrasion of fractured surfaces. Samples from the location of failure were taken, and investigation of the failure was carried out using optical and scanning electron microscopy. The microstructural analysis of the material and fractographic analysis of the fractured surface show that the failure was caused by excessive torsion.
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