In this experiment we conducted bending tests on several different specimens of Aluminum as well as Ceramics. Using the data gathered from these tests as well as measurements we took of their primary dimensions, we calculated (for each specimen) modulus of rupture, flexure strain, Young's modulus, as well as specific strength and stiffness. These tests gave us insight into new characteristics of aluminum and ceramics that allowed us to better understand their applications in industry.
This report provides insight into the magnetic phenomenon of Hysteresis. Hysteresis is defined as a retardation effect where the magnetisation of a magnetic material lags behind the magnetizing force. Here we will explore the hysteresis loop for a silver steel ferromagnet and use this to discover it’s magnetic properties. The method used will be to place a ferromagnet inside a solenoid with an alternating voltage which will continually reverse the magnetic field and magnetism direction. The relation between these two quantities will be used to produce a hysteresis loop from which magnetic properties can be deduced. The results obtained were: saturation magnetisation = (8.4±0.5)(105)Am-1; remnant magnetisation = (5.9±0.5)(105)Am-1; coercive field: (4.3±0.5)(104)Am-1; energy expended per cycle per unit volume of material: (1.55±0.05)(103)Jm-3s-1; energy product: (8.7±3.0)(104)Jm-3.
The goal of the Angry Birds AI competition is to build an intelligent agent which can complete the levels of the game better than human players. This task is very challenging, because humans have a good prediction about the physic world, while for computers it is hard to reason about an unknown environment. In this paper we describe our DualHEX AI agent, which is based on the AngryHEX agent of participants of the Angry Birds competition 2013. Our agent models the knowledge of the game by means of Answer Set Programming. In this project we improved the AngryHEX approach by extending the knowledge base of the domain. Our DualHEX agent plans a shot taking into consideration the current and the next bird. It compares the damage probability of both birds to discard targets that suits more the next bird features.