International Journal of Computer Applications (0975 – 8887) Volume 122 – No.14, July 2015 28 Air Fryer using Fuzzy Logic Abha Tewari Associate Professor V.E.S Institute of Technology Kiran Israni PostGraduate Student V.E.S Institute of Technology Monica Tolani PostGraduate Student V.E.S Institute of Technology ABSTRACT An air fryer is a kitchen appliance that works by using high speed hot air circulation. When the fryer is working, it begins to produce hot air and a mechanical fan begins to circulate it very fast around the food, which fries the food and produces a crispy layer. Most hot air fryers come with adjustable temperature and timer knobs that allow for more precise cooking. Food is cooked in the cooking basket that sits on a drip tray. There are various brands of air fryers that claim to fry the food with 80% less oil in general. Air fryer technology is based on "Rapid air technology" that uses the hot air to fry and cook the food which causes the use of less oil frying food. Which food needs what amount of cooking time. Time is a business which has not been dealt with properly. In most of the cases the user is compelled with a restricted amount of control. Most of the people wouldn’t have noticed (but can reason out very well) different type of food need different amount of cooking time which depends directly on the air temperature and fan speed etc. Keywords Fuzzy Logic, Air Fryer, Rapid air technology. 1. INTRODUCTION This paper aims at presenting the idea of controlling the consistency of food using fuzzy logic control. The paper describes the procedure that can be used to get a suitable consistency for different foods. The process is based entirely on the principle of taking non-precise inputs from the sensors, subjecting them to fuzzy arithmetic and obtaining a crisp value of the cooking time. It is quite clear from the paper itself that this method can be used in practice to further automate the air fryer 2. PROBLEM DEFINITION When one uses an air fryer, the person generally sets the timer knob and temperature based on the food type he/she wish to cook and the type and degree of consistency of food. To automate this process, we use sensors to detect these parameters (i.e. temperature, frying time, moisture content, thickness of slice and food consistency). The food consistency is then determined from this data. Unfortunately, there is no easy way to formulate a precise mathematical relationship between temperature, frying time, moisture content, thickness of slice and the food consistency required. Consequently, this problem has remained unsolved until very recently. Conventionally, people simply set timer knob by hand and from personal trial and error experience. Air Fryer is not as automatic as they could be. The sensor system provides external input signals into the machine from which decisions can be made. It is the controller's responsibility to make the decisions. Because the input/output relationship is not clear, the design of an air fryer controller has not in the past lent itself to traditional methods of control design. We address this design problem using fuzzy logic. Fuzzy logic has been used because a fuzzy logic controlled air fryer gives the correct food consistency even though a precise model of input/output relationship is not available. 3. DETAILS ABOUT THE PROBLEM The problem in this paper has been simplified by using four variables. The four inputs are : 1. Temperature 2. Frying time 3. Moisture content 4. Thickness of slice Figure (1) shows the basic approach to the problem. The fuzzy controller takes four inputs (as stated for simplification), it processes input and outputs food consistency. Inputs such as temperature and frying time, User will input by using knob. Other two inputs moisture content and Thickness of slice can be left to the sensors (optical, electrical or any type). The working of the sensors is not a matter of concern in this paper. We assume that we have these inputs at our hand. Moisture content of the food and thickness of slice is sensed by the sensor and accordingly it adjusts the fan speed at which the hot air circulates inside the air fryer. Figure 1 the shape of the membership function 4. DETAILS ABOUT THE SET APPLIED Before the details of the fuzzy controller are dealt with, the range of possible values for the input and output variables are determined. These (in language of Fuzzy Set theory) are the membership functions used to map the real world measurement values to the fuzzy values, so that the operations can be applied on them. Values of the input variables Temperature (range 0 to 200), frying_time (range 0 to 60),