Machining analysis of natural fibre reinforced composites using fuzzy logic

Abstract

Abstract. In this work, a new composite plate with natural jute fibre as the reinforcement fibres and isophthalic polyester as the resin was manufactured and subjected to a series of end milling operation by changing three input factors namely speed, feed rate and depth of cut. During each operation, the output responses namely thrust force and torque were measured. The responses were analyzed using Taguchi method to examine the relation between the input factors and output responses, and also to know the most influencing factors on the responses. The data was also analyzed using fuzzy rule model for prediction of responses for a range of input factors. The results showed that all three factors chosen have significant effect on the responses. The fuzzy model data in comparison with the experimental values shows only a marginal error and hence the prediction was highly satisfactory.

Challenges on machining characteristics of natural fiber-reinforced composites – A review

“…17 The use of natural fibers has many advantages over the use of synthetic fibers. 18 They are economic because of their bulk quantity; are sustainable; are flexible during processing, with less wear and tear on the machine; minimizes health risks; are low density; have a desirable fiber aspect ratio and have a tensile modulus relatively high. 19 The United Nations and the United Nations Food and Agriculture Organization declared 2009 the international year of natural fibers.…”

“…95 From figures 9 and 10 ,it is clear that the literature available on the machinability of NFRCs materials in terms of tool wear,tool life,surface roughness (Ra),cutting forces,material removal rate,power,specific cutting force,specific cutting pressure and machining power is less than the machinability of fiber reinforced composites. 18…”

“…Comparison of the number of articles published on the machinability of polymeric composites based on natural and synthetic fibers. 18 …”

Wear characteristics of glass‐polyester‐based hybrid composites: A parametric analysis using response surface method and fuzzy logic

“…Later fuzzy logic has been used successfully for the solution of many engineering problems, [ 43,44 ] also it has been used for the prediction of wear rate. [ 45,46 ] In the present investigation, Mamdani‐based fuzzy logic model used with four input variables as given in Table 1 and an output variable (SWR). Fuzzy expressions for each input variables are classified with three triangular membership functions (MFs) ranging from low to high and the output response is divided with seven triangular MFs which are very very low (VVL), very low (VL), low (L), medium (M), high (H), very high (VH), and very very high (VVH).…”

An experimental study on milling of natural fiber (jute)- reinforced polymer composites

“…Sankar et al 16 optimized the cutting parameters at the milling of JFRP composites using the Taguchi-based gray relational analysis method. Balasubramanian et al 17 investigated the effects of cutting parameters such as cutting speed, feed rate and depth of cut on cutting force and torque in the milling of JFRP composites. They determined that cutting speed and depth of cut were found to be the most effective factors for thrust force, whereas cutting speed, feed rate and depth of cut were the predominant factors for torque.…”