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Unmanned Aerial Vehicles (UAVs) are becoming an effective way to serve humanitarian relief efforts during environmental disasters. The process of designing such UAVs poses challenges in optimizing design variables such as maneuverability, payload capacity and maximizing endurance because the designing of a BWB takes into account the interdependency between the stability and aerodynamic performance. The Blended Wing Body is an unconventional aircraft configuration which offers enhanced performance over conventional UAVs. In this study the designing of a BWB is investigated with an aim to achieve structurally sound and aerodynamically stable configuration. The design has been done by taking into consideration the side and top view airfoil for fuselage, because fuselage is a major lift generating portion in the UAV. For designing the control surfaces, the two major requirements for a controlled and safe flight of a UAV are its stability and maneuverability.

Metal matrix composites have a large range of applications in the automobile industry due to its characteristics and properties. Al-based MMC have aluminum as matrix metal that has properties which are well concerned with the automobile industry. Some of these properties are high strength to weight ratio and lightweight. In this paper we are trying to develop aluminum-based metal matrix composite (MMC) reinforced with natural fibers ashes, we are using fine ashes of Sugarcane (bagasse), Groundnut Shell Ash (GSA), Rice Husk Ash (RHA) and Coconut shell (Jute) ash, different effects are investigated for different percentage of reinforcing material which is being produced by burning in a free atmosphere. Ball milling is used for making fine particle size of different natural fibers ash. Nine samples were made by the stir casting process consisting of Al6063 as base metal and different concentration of reinforcement.

This study is an attempt to develop a decision support and control structure based on fuzzy logic for deployment of automotive airbags. Airbags, though an additional safety feature in vehicles, have proven to be fatal at various instances. Most of these casualties could have been avoided by using seat belts in the intended manner that is, as a primary restraint system. Fatalities can be prevented by induction of smart systems which can sense the presence and differentiate between passengers and conditions prevailing at a particular instant. Fuzzy based decision making has found widespread use due to its ability to accept non-binary or grey data and compute a reliable output. Smart airbags also allow the Airbag Control Unit to control inflation speed depending on instantaneous conditions.

This research is an attempt to investigate the significance of Value Stream Mapping (VSM) in the lean transformation of manufacturing units (largely automotive) and then apply the same in a tool room. It is an essential tool used to interpret both material and information flow in a system. The tool room under study specializes in production of a large variety of high precision tools for the automotive industry. A product family is chosen to map and analyze various stages of its production process, starting from the raw material (R/M) to the finished goods’ (F/G) stage. VSM is then implemented in the tool room to correctly identify wastes and thus improvement areas to bridge gaps between current and future states. Both current and future state maps are drafted along with usage of other lean tools to justify its implementation in a small setup like tool room.