Archives-January 2016

Additive or constructive manufacturing is a manufacturing technology in which prototypes and functional parts are built through layer by layer addition of material directly by importing the STL file from CAD software to 3D printer. Unlike many manufacturing processes in which material destruction or erosion takes place in this technology material is successively added in a constructive manner to obtain physical 3D object. Due to its simplified product development process it has a wide range of applications in many distinct areas like Automobile, Aerospace, Architecture, bio medics and consumer goods. Since inception many additive manufacturing techniques were evolved and a variety of materials from the classes of metals, polymers, ceramics and composites are utilized. As the numbers of applications are increasing day to day the development of new materials has gained significant importance. In the current paper an over view of developed materials for additive manufacturing processes are reviewed and recent research developments in natural, diverse materials for additive manufacturing applications are discussed.

The QRS complex is the most striking waveform within the electrocardiogram (ECG). QRS provides the fundamentals for almost all automated ECG analysis algorithms. We proposed a novel method for classification of ECG beats using shared counters. We first developed a real-time QRS detection technique using two-phase hashing to extract precise QRS points. Then we implement a novel ECG beat classifier to profile each patient’s normal cardiac behavior. Our technique relies more on the data stream corresponding to ECG beats than any particular feature. We use the concept of shared counters to minimize the memory requirement. The algorithm automatically adjusts parameters periodically to adapt to ECG changes as QRS morphology and heart rate. Having such profile is essential for various diagnosis (e.g., arrhythmia) purposes. One application of such profiling scheme is to automatically raise an early warning flag for the abnormal cardiac behavior of any individual.

This paper will explain briefly about a selected model of instructional and interaction design. The intensive review from a several literature has done and every fact against each selected model has analyzed to identify their advantages and disadvantages. Based on their advantages listed, in intend to overcome their weakness and enhance the instructional model in order to make the instructional and interaction model more relevant in this age, this paper will proposed a new interaction design model for chronological infographic development. Apps Mobile is a latest technology as a platform to disseminate information and educate people by use infographic approach. To convey the information, which is relate with time line and historical information in 21st century, digital chronological infographic is a appropriates matter to apply.

The cutting forces required for machining of a material are important factors in production design that need to be evaluated carefully for newly developed materials. The cutting forces directly influence the power requirement of the machine tool, tool deflection and tool wear, among other things. In this study a computational model will be developed for prediction of cutting forces in end milling of metal matrix composites. Modeling of cutting forces in milling involves evaluation of chip load, instantaneous shear angle, strain rate and temperature dependent shear stress. The computational model will be validated against experimental data from measurements of cutting forces during end milling of composites under different conditions. The validated model will then be used to conduct a parametric study on the influence of feed rate (f), depth of cutting (a), cutting speed (v), and other cutting parameters on the cutting forces generated during the end milling of composites.