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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.

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.